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September 3, 2024
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Scientists from the Fritz Haber Institute, Sorbonne University, and Uppsala University have made a discovery that can help to improve our understanding of the behavior of ions in solutions. Their paper, titled "The solvation shell probed by resonant intermolecular Coulombic decay," has been published in the journal Nature Communications .
When substances dissolve in a liquid, a solvation shell is formed—a layer of solvent molecules that surround the dissolved particles. The solvent molecules that constitute these solvation shells can acquire wildly different properties from the other, free solvent molecules.
However, studying these solvation shells has always been a challenge due to their complex nature and the difficulty of specifically targeting the solvent molecules that make up the solvation shells but not the many other solvent molecules.
The research team has developed a novel method to probe these elusive solvation shells using a process called resonant intermolecular Coulombic decay (ICD). Their method involves exciting the molecules with X-rays and observing how they interact with their neighbors during the decay process. By doing so, scientists can gain detailed insights into the properties of the solvation shell.
The study revealed that a specific ICD process is a powerful indicator of ion pair formation. The researchers were also able to measure the electron binding energies of water molecules in the first solvation shell. This is a significant achievement, as these measurements were previously unattainable.
Understanding solvation shells is essential for a wide range of scientific fields, including chemistry, biology, materials science , atmospheric science , and electrochemistry. This new method provides a powerful tool for scientists to study these shells in greater detail, which is of relevance for these broad scientific and engineering fields.
Journal information: Nature Communications
Provided by Max Planck Society
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New research involving the uc college of medicine may lead to finding effective therapies faster.
Researchers from the University of Cincinnati College of Medicine and Cincinnati Children’s Hospital have found a new method to increase both speed and success rates in drug discovery.
The study, published Aug. 30 in the journal Science Advances, offers renewed promise when it comes to discovering new drugs.
“The hope is we can speed up the timeline of drug discovery from years to months,” said Alex Thorman, PhD, co-first author and a postdoctoral fellow in the Department of Environmental and Public Health Sciences in the College of Medicine.
Researchers combined two approaches for screening potential new drugs. First, they used a database from the Library of Integrated Network-based Cellular Signatures (LINCS) to screen tens of thousands of small molecules with potential therapeutic effects simultaneously. Then they combined the search with targeted docking simulations used to model the interaction between small molecules and their protein targets to find compounds of interest. That sped up the timing of the work from months to minutes — taking weeks of work required for initial screening down to an afternoon.
“Accuracy will only improve, hopefully offering new hope to many people who have diseases with no known cure, including those with cancer."
Alex Thorman, PhD Co-first author and postdoctoral fellow
Thorman said this faster screening method for compounds that could become drugs accelerates the drug research process. But it’s not only speed that is crucial.
He added that this newer approach is more efficient at identifying potentially effective compounds.
“And the accuracy will only improve, hopefully offering new hope to many people who have diseases with no known cure, including those with cancer,” Thorman said.
It can also create more targeted treatment options in precision medicine, an innovative approach to tailoring disease prevention and treatment that takes into account differences in people's genes, environments and lifestyles.
“An accelerated drug discovery process also could be a game changer in the ability to respond to public health crises, such as the COVID-19 pandemic,” said Thorman. “The timeline for developing effective drugs could be expedited.”
Feature image at top: Collection of prescription drug bottles and pills. Photo/Provided.
The University of Cincinnati is leading public urban universities into a new era of innovation and impact. Our faculty, staff and students are saving lives, changing outcomes and bending the future in our city's direction. Next Lives Here.
Other co-first authors included Jim Reigle, PhD, a postdoctoral fellow at Cincinnati Children’s Hospital, and Somchai Chutipongtanate, PhD, an associate professor in the Department of Environmental and Public Health Sciences in the College of Medicine.
The corresponding authors of the study were Jarek Meller, PhD, a professor of biostatistics, health informatics and data sciences in the College of Medicine, and Andrew Herr, PhD, a professor of immunobiology in the Department of Pediatrics in the College of Medicine.
Other co-investigators included Mario Medvedovic, PhD, professor and director of the Center for Biostatistics and Bioinformatics Services in the College of Medicine, and David Hildeman, PhD, professor of immunobiology in the College of Medicine. Both Herr and Hildeman have faculty research labs at Cincinnati Children’s Hospital.
This research was funded in part by grants from the National Institutes of Health, a Department of Veterans Affairs merit award, a UC Cancer Center Pilot Project Award and a Cincinnati Children’s Hospital Innovation Fund award.
Those involved in the research are also co-inventors on three U.S. patents that are related to their work and have been filed by Cincinnati Children’s Hospital.
August 30, 2024
Researchers from the University of Cincinnati College of Medicine and Cincinnati Children’s Hospital have found a new method to increase both speed and success rates in drug discovery. The study, published Aug. 30 in the journal Science Advances, offers renewed promise when it comes to discovering new drugs.
September 4, 2024
Researchers from the University of Cincinnati College of Medicine and Cincinnati Children’s Hospital have found a new method to increase both speed and success rates in drug discovery. The study, published Aug. 30 in the journal Science Advances, has been featured in several online publications.
October 31, 2023
U.S. News & World Report highlighted recent research led by the University of Cincinnati and Northwell Health that found the drug metformin can help prevent or reduce weight gain in youth taking medication to treat bipolar disorder.
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Speaker 1: One of the most frequently asked questions that I am asked all the time across my social media platforms, across my YouTube, across my comments, is about the research process. So how do you start? Where do you even begin? You need to submit a dissertation, you need to submit a research proposal, you need to think of a hypothesis, you need to think of a problem statement, you need to find a gap in literature where do you even begin with the whole research process now it isn't as hard as it seems it's just one of those things that you're never told or you're never taught how to do it's one of those things that you just kind of figure out so hopefully in today's video i will be talking to you about the overview and kind of a quick beginner's guide to the research process, giving you the steps of how you get from zero to having something, having a question, having a hypothesis, having somewhere to start. I'm going to be making this into a bit of a series so in today's video I'm going to be giving you an overview as to the different chapters, the different sections of the process, how you get from nothing to something and then in the following videos I will be going through each of those sections in a bit more detail and hopefully if you are someone who is within one of those kind of parts you can just jump to that video and have a have a quick quick watch if you are someone who is just starting off then this is the best place for you to begin have a little think about how you're going to navigate your research process and how you're going to get from the start to the end it is not difficult but it does require a few steps, a few technicalities, which I'll talk you through today. I'll leave the timestamps down below so you feel free to go and jump to the different sections that you are interested in watching. And if you do enjoy this kind of video and you want to see the rest of the videos from me, then don't forget to subscribe to see more on my channel. So step number one is to choose a topic. Now this is the beginning of something beautiful. This is where you choose what you're actually going to be studying and when you're actually going to be reading about now it's really important that you have chosen a topic that you are interested in that there is an interest in within the research space that has something missing so you don't want to choose a topic that we know everything about you want to choose a topic that we don't know everything about and there are things that we want to try to find more about you want to choose a topic that is within your university guidelines so as much as i would love to do a research on the solar system about space well if my course is to do with cell biology well then i can't so you have to think about your limits think about what you are allowed to do within your university guidelines as well but you do need to think about taking that broad topic and making it into something a bit more narrow so it's not good enough to just say i want to do research on alzheimer's okay alzheimer's fine you've got a topic, but you now need to narrow it down. So what about it are you looking at? Are you looking at the risk factors? Are you looking at what happens once you have Alzheimer's? Are you looking at a specific group of people? Are you looking at a specific cell type? What is it that you are looking at? You need to narrow that down. In order to narrow it down, you need to do a bit of a literature search. So whilst choosing a topic, whilst in this first stage, you need to look at literature. So to find literature you want to go to different websites where you have literature and this could be for example Google Scholar is a good place to start, PubMed is a good place to start. These are places where you can find literature about that topic and kind of read around the subject and identify whether firstly is it something that you are actually interested in and secondly is there enough information for you to gather to be able to write your literature review in the future so that first step your first step of your research process is thinking about the topic because without a topic you there's nothing you can't do anything else so the first step has to always be to find a topic and think about it now once you've thought about a topic and you've narrowed it down to the thing that you're interested in at this stage you will then go to your supervisor to your lecturer to your professor to your mentor to your tutor and you will ask them do you think this is a good topic and that is where you will get some feedback and most likely you'll have to go back have another think or try to refine a bit more or try to think about it in a different way but that is always the first step. In the video that I make about finding a good topic we'll talk about it in a lot more depth but to start off with to introduce this is always the first step. So the second step is to identify a problem and this is what we like to call in as you know in research the gap in literature. So a problem slash gap in literature is the part of research that we that is missing. So when you do research in fact in order to graduate from a PhD you have to and this is one of the criteria you have to produce research it has to be in a thesis or in a in a published paper it has to be research it has to be a finding that is new something that we do not know before we did not know before your research right and that is the number one criteria for for actually getting a phd it is the fact that it has to be something new has to be something novel that you have discovered okay so you need to think about the gap in literature where is there a missing piece i understand this i understand that we know this we know that but what is there that we don't quite know and that is the bit that you are then going to try to identify during your research process right chosen a topic now we need to find the problem where is the missing information now in order to do this you need to have read a lot of papers around your topic. So that's why I said initially, you need to have had approval from your committee, from your tutor, your supervisor to say, right, that's okay. It's good for me to go there. Now you've got that topic that you're looking at. You then want to try to find the gap. Where are you going to slot in? What is it that you are going to provide in terms of knowledge? Now, the identifying a problem is actually quite an important and quite critical part of the research process it's almost impossible you to continue on with your research without having identified the problem because if you don't have a problem you don't know what it is you're looking at you don't know what methods you're using you don't know what your research question is going to be or your hypothesis so at this stage you have to have a very well-defined research problem and your question in order to continue on to the next steps so when i say research problem and we'll talk about this more in in the following video that i'm going to produce about it but when i talk about research problem it could be a number of different things so it could be that we understand or we have the knowledge of a certain situation but now you're comparing it to a different situation so it could be more theoretical where you're comparing two things to each other that haven't been compared before so that would be fine as long as what you have is something original or you may be trying to explore a specific relationship let's say for example in my case with my PhD I was looking at two different proteins and the relationship between them so that is one type of research that you can do as well and so just think about your topic and think about where the gap is in the literature you have to read a lot to be able to find this and a question I get a lot emailed to me and directed to me is about this problem so how do I find a problem like how do i find a gap in literature and it's almost impossible for me to to give you any answers because i have to have read all the papers within your topic in order to answer that question which is almost impossible so it's something that you have to do independently and you can always discuss with me you can discuss kind of trying to refine that question but for the most part you need to read around your subject yourself to get that question then step number three is to actually write down your research question now this is usually in the form maybe of a hypothesis or maybe it could be just a you know a standalone question so this is just you saying this is what i'm looking at so i'm looking at whether actin and myosin bind together to have an impact on the motility of the cortex like that is my question and then i'll have a hypothesis saying actin and myosin bind together and they do this so this is just my question and you're just following on from your problem so you've identified your topic you found the problem the gap in literature and then you write down what your question is so what it is exactly that you are looking for and this will be like your guiding star this will be the thing the question the statement that you have at the top you know at the top of your mind whenever you are looking at literature whenever you're writing a literature review whenever you speak to someone you have that question in mind and so that needs to be something that's really well defined it should also be really specific so it can't just be saying is obesity caused by i don't know fatty food i'm just giving a random example that is too vague is obesity in children in male in female different ages what fatty foods what like you need to be very very specific so specific that someone else should be able to pick up your research question and know what it is you're looking at they need to be able to know sort of what methods you're using is it qualitative or is it quantitative what type of research are you actually doing that should really be in the research question so a good research question is one where that is really well defined then step number four is to write a research design so this is where you're kind of creating a bit of a method a bit of a process within a process so you are now writing down and you're now thinking about how you're going to conduct this research so to follow this will be the research proposal but at this stage here you're just thinking about your research design so how are you going to get this research done what are the factors that you need to think about who are the people the participants that you may need are you doing a lab-based thing do you need cells are you you know what do you need humans do you need animals is it just a review paper so do you just need to think about researchers out there what kind of study are you going to conduct in order to find out the results and the answer to your question essentially the research design is a practical framework so it's giving laying out that frame for you in order to answer your research question. And here, it's more of a thinking process. It's more of a discussion. You might want to ask your supervisor, you might want to ask your tutor to talk about it. How are we going to get the answer to this question? And then to finish off the research process, you now want to write a research proposal. And I have a really good video about this, and I'll leave the link for it down below, where you are detailing all the steps for your research so you're detailing your the background of your research the literature review and you're justifying that there is a need for this research you then want to detail your methods your materials the aim your you know your timeline how long it's going to take you to do these things and then that document is what you take with you to your supervisor and say look this is my research proposal you might take it to a potential phd supervisor and say look this is what i've found and this is what i'm really interested in and here is the proposal and you have it all outlined there for you or it's a document that you're able to use in order to build upon your dissertation and so if you're writing an essay dissertation you are able to use that as well so with your research proposal you are detailing the context you are detailing the purpose the plan and your aims the whole process going from finding a topic finding a problem finding the research question defining the actual research and then now you're compiling all of that and you're putting it into a document called the research proposal and all of this information is in there someone should be able to pick that up see what you found find the review of the literature and say right this is a good study this is a good bit of research we are going to approve this and then you can go on and plan the rest of your research so i hope this video helped you summarizing the steps of the research process to begin with and as i mentioned i'm going to be doing each of these five steps as single videos so i can expand on them and i'll make it into a playlist so you're able to sort of follow up and click on the next couple videos but for now i hope this did help with thinking about the research process and thinking about maybe what stage you are at if you are at any of them if you do want further support you can contact me on thepagedoctor.com where i give support and we have a team of consultants top consultants and top editors that can support you through the process of writing your research proposal or even through the post process of thinking about how you're going to find a gap in literature how you're going to find you know your hypothesis and define that for you so don't forget to leave me a comment and let me know if this was helpful and don't forget to leave me a thumbs up and subscribe to see more from me and I'll see you in my next one. Bye.
On August 13, 2024, the publishers of the journal Insects notified authors of three papers selected to receive “Insects 2022 Best Paper Award” for research and review articles published in Insects from January 1 to December 31, 2022.
One of the winning papers was co-authored by Russanne Low, PhD, Institute for Global Environmental Strategies (IGES). Low is a member of the NASA Earth Science Education Collaborative (NESEC), a NASA Science Activation project, and science lead for the Global Learning & Observations to Benefit the Environment (GLOBE) Mosquito Habitat Mapper .
The paper – Integrating global citizen science platforms to enable next-generation surveillance of invasive and vector mosquitoes – was published as part of a special issue of Insects on Citizen Science Approaches to Vector Surveillance. It is in the top 5% of all research outputs scored by Altmetric, which is a high-level measure of the quality and quantity of online attention that it has received. The scoring algorithm takes various factors into account, such as the relative reach of the different sources of attention. The paper has been cited 23 times .
Papers were selected by the journal’s Award Committee according to the following criteria:
Each winner of the best paper award will receive CHF 500 and a chance to publish a paper free of charge in Insects in 2024 after peer review.
The paper is a result of a collaboration by IGES with University of South Florida, Woodrow Wilson International Center for Scholars, Universitat Pompeu Fabra, and iNaturalist.
Following is the full citation: Ryan M. Carney, Connor Mapes, Russanne D. Low, Alex Long, Anne Bowser, David Durieux, Karlene Rivera, Berj Dekramanjian, Frederic Bartumeus, Daniel Guerrero, Carrie E. Seltzer, Farhat Azam, Sriram Chellappan, John R. B. Palmer. Role of Insects in Human Society Citizen Science Approaches to Vector Surveillance. Insects 2022, 13(8), 675; https://doi.org/10.3390/insects13080675 - 27 Jul 2022
NESEC is supported by NASA under cooperative agreement award number NNX16AE28A and is part of NASA’s Science Activation Portfolio. Learn more about how Science Activation connects NASA science experts, real content, and experiences with community leaders to do science in ways that activate minds and promote deeper understanding of our world and beyond: https://science.nasa.gov/learn
The PREFIRE mission will help develop a more detailed understanding of how much heat the Arctic and Antarctica radiate into space and how this influences global climate. NASA’s newest climate mission has started collecting data on the amount of heat in the form of far-infrared radiation that the Arctic and Antarctic environments emit to space. […]
Read this story in English here. Tainaliz Marie Rodríguez Lugo respiró hondo, se ajustó la máscara de buceo y se sumergió en el océano, metiendo primero sus pies cubiertos por aletas. Tres semanas antes, Rodríguez Lugo no sabía nadar. Pero ahora, esta estudiante universitaria recopilaba datos sobre la calidad del agua y los arrecifes de […]
James Webb Space Telescope
Perseverance Rover
Parker Solar Probe
Journal of Health, Population and Nutrition volume 43 , Article number: 133 ( 2024 ) Cite this article
1 Altmetric
Metrics details
The objective of this study was to visually analyse global research trends and hotspots regarding the role of PM2.5 in ischemic stroke.
The Web of Science core collection database was used to search the literature on PM2.5 and ischemic stroke from 2006 to 2024. Visualization analysis was conducted using CiteSpace, VOSviewer, and an online bibliometric platform.
The analysis comprises 190 articles published between 2006 and 2024 by 1229 authors from 435 institutions in 39 countries, across 78 journals. Wellenius GA has the highest number of published and cited papers. China has the highest number of papers, while Canada has the highest citation frequency. Capital Medical University published the highest number of papers, and Harvard University had the highest citation frequency for a single paper. The study investigated the impact of PM2.5 on ischemic stroke in three phases. The first phase analysed hospitalisation rates for correlations. The second phase utilised large-scale multi-cohort data from around the world. The third phase involved studying global exposure risk through machine learning and model construction. Currently, there is limited research on the mechanisms involved, and further in-depth investigation is required.
This paper presents a bibliometric analysis of the research framework and hotspots concerning the effect of PM2.5 on ischemic stroke. The analysis aims to provide a comprehensive understanding of this field for researchers. It is expected that research on the effect of PM2.5 on ischemic stroke will remain an important research topic in the future.
Ischemic stroke is the leading cause of death and disability worldwide, posing a great threat to human health [ 1 ]. Air pollution is an individual risk factor for ischemic stroke independent of smoking, poor diet, and physical inactivity in the United States. Air pollution accounts for more than a quarter of the stroke burden. [ 2 ]. Airborne fine particulate matter (PM2.5, aerodynamic diameter < 2.5 μm) is the main component of air pollution. At present, a large number of studies have shown that air pollution are highly associated with an increased risk of ischemic stroke, especially PM2.5 [ 3 , 4 , 5 ]. Gu et al. found that for every 10 µg/ m 3 increase in the PM2.5 level in China, hospitalizations for acute cerebrovascular disease and Transient Ischemic Attacks increased by 0.20% and 0.33%, respectively [ 6 ]. Therefore, reducing air pollution and improving air quality are of great significance for reducing the incidence of ischemic stroke.
Bibliometric analysis is a widely used method for evaluating the quality and impact of academic research in various fields [ 7 , 8 , 9 , 10 ]. It presents the knowledge structure and research status of a field more intuitively through quantitative analysis of published literature, making it a faster and more accurate way to study trends and hotspots compared to systematic and wide-ranging reviews and other types of literature research. [ 11 , 12 , 13 ].
Research on the impact of global air pollution on human health has led to a gradual deepening of our understanding of the effect of air pollution on stroke. Specifically, research on the impact of PM2.5 on ischemic stroke has been ongoing for decades, resulting in significant developments and high-quality research results. To date, no bibliometric study has been conducted on the impact of PM2.5 on ischemic stroke to explore the distribution characteristics and trends in this research field. Therefore, this study aims to bibliometrically the relevant literature on the effect of PM2.5 on ischemic stroke, explore the current hotspots and possible future trends in this research field, identify potential research gaps, and provide an important reference for researchers and institutions in this field.
Data sources and search strategy.
The Web of Science (WOS) is an extensive, multidisciplinary database encompassing all high-impact scientific journals and distinguished indexes [ 14 , 15 , 16 ]. In comparison with Scopus or MEDLINE/PubMed, the literature measurement analysis facilitated by the WOS database can retrieve more comprehensive information [ 17 ]. A literature search using the Web Science Core (WoSCC) database on February 18, 2024. The articles were retrieved from January 1, 2000, to February 18, 2024.The search strategy employed was as follows:
(((((((((((((((((((((((TS=(Ischemic Strokes)) OR TS=(Stroke, Ischemic)) OR TS=(Ischaemic Stroke)) OR TS=(Ischaemic Strokes)) OR TS=(Stroke, Ischaemic)) OR TS=(Cryptogenic Ischemic Stroke)) OR TS=(Cryptogenic Ischemic Strokes)) OR TS=(Ischemic Stroke, Cryptogenic)) OR TS=(Stroke, Cryptogenic Ischemic)) OR TS=(Cryptogenic Stroke)) OR TS=(Cryptogenic Strokes)) OR TS=(Stroke, Cryptogenic)) OR TS=(Cryptogenic Embolism Stroke)) OR TS=(Cryptogenic Embolism Strokes))OR TS=(Embolism Stroke, Cryptogenic)) OR TS=(Stroke, Cryptogenic Embolism)) OR TS=(Wake-up Stroke)) OR TS=(Stroke, Wake-up)) OR TS=(Wake up Stroke)) OR TS=(Wake-up Strokes)) OR TS=(Acute Ischemic Stroke)) OR TS=(Acute Ischemic Strokes)) OR TS=(Ischemic Stroke, Acute)) OR TS=(Stroke, Acute Ischemic)
Step 1 AND Step 2, NOT TI = (“guideline” or “recommendation” or “consensus” or “case report” or “meta” or “review”), AND Language = English. A total of 308 relevant articles were searched.
After conducting an initial data search, two authors screened all manuscripts. Any discrepancies identified by the authors were then independently screened by a third author to ensure their relevance to the topic of this study. A total of 190 documents were retrieved and exported as ‘full records and citation references’ and ‘tabs separate files’ for further analysis.
The bibliometrics used in this study mainly include evaluation techniques and relational techniques [ 18 ]. Evaluation techniques are employed to assess the productivity and impact of scientific papers. These include the number of publications, which is used to assess productivity [ 19 ]; the number of citations, which is used to measure the impact of publications [ 20 ]; the h-index [ 21 ], which is used to measure the number of citations to “h” papers; the g-index, which is used to identify the largest number such that the top g articles receive at least g2 citations [ 22 ]; and the m-index, which takes into account the number of years since the article was published [ 23 ]. These techniques have been employed in the analysis of the PM2.5 effect on ischemic stroke, which has been conducted in collaboration with the most prolific authors and journals in this field. Concurrently, relational techniques are employed to investigate the co-occurrence of keywords and the co-citation of journals, with the generation of a visual graph. The term “co-citation” is used to describe the practice of multiple articles being cited jointly. The outcome of a keyword co-occurrence analysis is a network of topics and their interconnections. The content of a document is examined through the lens of a specific word, which can shed light on the relationship between concepts within a given field [ 24 ]. The higher the frequency of words, the stronger the conceptual connections [ 25 ].
The data in “tabs separate files” were imported into the bibliometric online analysis platform ( http://bibliometric.com ) to analyze the relationship between the collaborating countries/regions. CiteSpace [ 26 ] and VOSviewer [ 27 ], the two most commonly used visual tools analysis software in bibliometrics are mainly used to observe research hotspots and trends in a certain field and visualize them in graphical form [ 27 , 28 ]. We applied CiteSpace (version 6.2.R4) and VOSviewer (version 1.6.20) software to visualize bibliometric data. Imported in “full record and citation reference” format and collaborated on the filtered literature between countries/regions, co-authored and co-citation, co-occurrence, clustering and burst analysis. The PRISMA flowchart illustrates the methodology employed in this study, delineating the procedures undertaken for data acquisition, cleaning, and inclusion (Fig. 1 ) [ 23 , 29 ].
PRISMA flowchart
Following a rigorous process of literature cleaning, inclusion, and exclusion, a total of 308 literature sources were downloaded. These sources were then filtered to exclude early access literature, correction literature, editorial materials, conference abstracts, and conference proceedings. The final number of literature sources included for analysis was 190. The literature spanned the period from 2006 to 2024 and included 78 journals, 1229 authors, 435 institutions, and 39 countries. There were 5775 references cited.
Publication numbers.
The top 5 by number of publications by author, country, institution and journal, as well as by citations, are summarised in Table 1 . The top author by the number of publications and citations was Wellenius GA, with 8 publications and an average annual citation number of 88.875; this author focuses on the effect of duration of PM2.5 exposure on ischemic stroke and the relationship between air pollution exposure and ischemic stroke risk in women. The country with the most published studies was China with 106 publications and an average annual citation number of 37.831. Articles from the United States had the highest total number of citations and articles from Canada had the highest average number of citations at 106.077. Capital Medical University published the most articles, with a total of 16 articles, and the average citation of each article was 14.062. Harvard University had the highest average citations per article, which was 282.714. The Table 2 shows that the United States Department of Health and Human Services sponsored the highest number of articles in terms of funding sources. SCIENCE OF THE TOTAL ENVIRONMENT published the most articles, but the average single citation of ENVIRONMENTAL POLLUTION was the highest, which was 54.818.
By analyzing the number of papers published in a particular research field over the years and the countries in which they were published, we can determine the past development history of this field and the global attention to this field, and also predict the development prospects of this field.
The earliest study of PM2.5 on ischemic stroke was published by Paul J Villeneuve et al. in 2006 [ 30 ], and the number of publications has not increased significantly since then. A clear cut-off point was observed in 2014, and the number of published papers increased significantly thereafter (Fig. 2 ). The participation of countries and regions was an important factor affecting the number of papers published, and much of the contribution during this period was high-quality case-crossover analysis. In 2014, scholars in Taiwan published the first study on the effect of regional PM2.5 levels on ischemic stroke. Since then, the number of regional cooperation and broader studies has increased significantly. Subsequently, the length of PM2.5 exposure period, source methods, and different production scenarios were studied from multiple perspectives. The number of publications peaked in 2022. Therefore, the increase of multi-regional, multi-angle, multi-level research ideas and cooperation and exchange has greatly promoted the development of this research field.
Number of national publications per year
The United States had a large contribution to PM2.5 research. Four of the top five funding agencies were from the United States. Although the number of articles published in the United States was not the largest, the single cited number was the highest. Since 2013, China’s contribution to this field has become increasingly prominent, with the largest number of articles published in this field, and the National Natural Science Foundation of China has also funded the largest number of research projects in this field (Table 2 ). As a country with a large population and deeply affected by PM2.5, China has an extremely high prevalence of ischemic stroke. It has invested huge in this field and made outstanding contributions. It is believed that China will make greater contributions in this field in the future. China and the United States also have the most cooperation and exchanges in this field (Figure 3 ). The latest research results published by Wellenius GA in 2024 are cooperated with Chinese scholars [ 31 ], and there are many more such cooperation and exchanges.
Cooperation between countries
The Dual-Map Overlay shows the distribution of citation relationships between journals (Fig. 4 ). The citing literature is on the left side of the graph, and the cited literature is on the right side of the graph. The colored path between the two represents the citation relationship. Two main citation pathways were found, indicating that studies published in veterinary, animal and natural sciences were mainly cited by studies published in environmental sciences, toxicology and nutrition. Studies published in neurology, kinesiology, and ophthalmology journals are primarily cited by studies published in health, nursing, and medical journals.
Dual-Map Overlay
The top 5 cited articles included 1 Meta-analysis articles and 4 clinical articles (Table 3 ). Publication dates ranged from 2011 to 2020. The article with the highest number of citations, entitled “An Integrated Risk Function for Estimating the Global Burden of Disease Attributable to Ambient Fine Particulate Matter Exposure”, was published by Burnett, Richard T et al. in 2014 in ENVIRONMENTAL HEALTH PERSPECTIVES , with a total of 1272 citations. Available relative risk information from studies of ambient air pollution (AAP), second-hand tobacco smoke, household solid cooking fuels and active smoking (AS) was integrated to fitted the integrated exposure response (IER) model, which estimated the combined risks of exposure to multi-source PM2.5 [ 32 ]. The second and fifth cited articles are the studies on the risk of PM2.5 exposure published by Shah AS et al. and Lipsett MJ et al. These studies elucidate the risk of PM2.5 exposure in two distinct aspects: short-term exposure and long-term exposure, respectively [ 33 , 34 ]. Air pollution in China remains a significant concern, with a considerable body of scholarship dedicated to understanding the impact of PM2.5 on public health. A review of the literature reveals that the third and fourth most-cited articles pertain to the disease burden associated with PM2.5 in China [ 35 , 36 ].
Author co-citation network analysis.
Lotka’s law was used to determine the minimum number of co-citations. [ 37 ]. Fifty-seven authors met the criteria, with Pope Ca, Wellenius GA, and Tian YH being the top three co-cited authors. The authors were divided into three clusters (Fig. 5 ).
Co-citation author analysis Red : cluster1; Green : cluster2; Blue : cluster3
Professor Pope Ca from Brigham Young University has conducted comprehensive research on the multifaceted, multi-regional, and multi-level impact of PM2.5 on disease. His team has made a substantial contribution to the assessment of the global burden of disease caused by fine particulate matter. Wellenius, a professor at Boston University, has been engaged in research in the field of environmental and health sciences for an extended period. His contributions to the field include a significant impact on the understanding of the influence of PM2.5 on cardiovascular and cerebrovascular disease. His research has been based on a thorough examination of the local area of PM2.5, the duration of exposure, and the factors influencing the PM2.5 exposure. Professor Tian YH of Beijing University has conducted extensive research on the impact of PM2.5 in China. His studies have covered a vast area, encompassing up to 184 cities, and have focused on the effects of PM2.5 on ischemic cerebral apoplexy. The findings have been used to inform national policy.
If at least one article from both journals is cited in the cited article, two journals are considered to be cited simultaneously [ 38 ]. Seventy journals met the criteria, with ENVIRONMENTAL HEALTH PERSPECTIVES , STROKE , and ENVIRONMENT INTERNATIONAL being the top three cited journals (Fig. 6 ). The total number of citations for ENVIRONMENTAL HEALTH PERSPECTIVES was high, and the average number of citations per article was as high as 211.14.
Co-citation Jour analysis Red : cluster1; Green : cluster2; Blue : cluster3
Literature were cited analysis is a widely used to study the knowledge in certain areas framework method [ 39 ]. Figure 7 shows the literature co-citation network in the field of PM2.5 effect on ischemic stroke. In the figure, a node represents a document/article, while the connecting line between the two nodes represents the co-cited association between the two articles. The larger the node, the more citations an article has. The smaller the distance between two nodes, the higher the citation frequency of the literature.
Co-citation reference analysis Red : cluster1; Green : cluster2; Blue : cluster3
There were 24 literatures that met the criteria (Fig. 7 ), and the top 3 cited references were Brook Robert D et al. 2010, Wellenius GA et al. 2012, and Wellenius GA et al. 2005. Brook Robert D et al. conducted a review of the effects of particulate air pollution on cardiovascular disease and concluded that the longer the exposure to PM2.5, the greater the risk of cardiovascular mortality and that lower levels of PM2.5 were associated with lower cardiovascular mortality [ 40 ]. Wellenius GA et al. found that exposure to PM2.5, a level considered generally safe by the US Environmental Protection Agency’s, increased the risk of ischemic stroke within hours of exposure. This means that lower levels of PM2.5 are not safe [ 41 ]. Wellenius GA et al. in 2005 found that PM2.5 levels increased the risk of ischemic but not hemorrhagic stroke [ 42 ]. The above three articles reached the same conclusion from different perspectives: exposure to PM2.5 may increase the risk of ischemic stroke. This provides a solid basis for further research.
According to Lotka’s law, 88 keywords were included in the co-occurrence network analysis (Fig. 8 ). The co-occurrence network was divided into 6 clusters. A total of 10 bursts were identified, with the highest intensity being ‘hospital admissions’ (strength, 4.27), followed by ‘global burden’ (strength, 4.14). The last burst was “PM2.5” (strength, 3.89; Fig. 9 ). In order to better analyse the annual research hotspots and the overall trend of change in the research area, citespace was used to perform a timezone analysis of the keywords (Fig. 10 ). The whole graph was divided into several vertical blocks from 2006 to 2024, with an interval of one year. Each block had several nodes, and each node represented a keyword. The nodes are composed of one or more colours, and each colour represents a year. The colour in the outer circle of the node represents the closest to the present, and the width of the colour represents the popularity of the year. If the node is all red, it represents the central hot word. The connection between the nodes represents the connection between two keywords. As you can see from the figure, the study of PM2.5 and ischemic stroke only started in 2006, less than 20 years ago. From 2006 to 2008, a large number of studies on air pollution, ischemic stroke, cardiovascular disease, hospital admissions and exposure were carried out in this area and continue to this day. In 2022, PM2.5 became a central buzzword in the field. From 2011 to 2014, this field focused on the global health burden of PM2.5, using a large number of case-crossover analysis methods, and a large number of Chinese scholars began to pay attention to this field. From 2016 to 2018, this field began to focus on national and regional research, and there were a large number of studies on the effect of PM2.5 on ischemic stroke in China. At the same time, since 2016, this area has received more and more attention, reaching a peak in 2023. From 2018, more in-depth research will be conducted on PM2.5 as a risk factor, and attention to this area will become more popular. By 28 February 2024, the number of research articles in 2024 will have reached the level of the whole year 2014. Research on the effect of PM2.5 on ischemic stroke is expected to show an increasing trend in the future.
Co-Occurrence of key words Red : cluster1; Green : cluster2; Blue : cluster3; Yellow : cluster4; Purple: cluster5; Light blue: cluster6
Key words with the strongest citation bursts
Timezone of key words
Bibliometrics can help people understand the research focus, framework and trend of a certain field intuitively and comprehensively. PM2.5 has been widely studied as a risk factor for ischemic stroke, and reducing the level of PM2.5 can effectively reduce the occurrence of ischemic stroke. A summary of previous studies in this field has occasionally been reported, but there has been no bibliometric description of the literature in this field.
A bibliometric analysis of the study found that the most published author was Wellenius GA, who is affiliated with the Department of Environmental Health at the Boston University School of Public Health. The most cited article is a study by Burnett, Richard T et al., on risk estimation models for PM2.5 exposure. The research integrates the relative risk (RR) information of PM2.5 from different global scenarios and sources of different combustion types to construct and fit a sustainable and updated comprehensive exposure-response model, which can provide important reference for the regulation of PM2.5 32 . Air pollution from PM2.5 is a global problem that has caused a global health burden. In the early stage, almost all the studies on PM2.5 came from developed countries such as Europe and the United States. However, the worst affected areas of PM2.5 pollution are mainly in developing countries. However, the research in this field from developing countries starts very late, and there is a lack of primary epidemiological investigation. From Fig. 2 , we can find that the first study on China was reported in 2013, which was a study published by scholars in Taiwan on the relationship between PM2.5 level and hospitalization rate of ischemic stroke in Taipei City, Taiwan Province [ 43 ]. The initial study in this field was published in mainland China in 2014, although it was a Meta analysis [ 44 ]. This indicated that mainland China was also beginning to focus on the field. In India, another large developing country, the first study on PM2.5 within the country was not published until 2016 [ 45 ]. Furthermore, Burnett et al. not only included global PM2.5 data from various areas but also considered different sources of PM2.5 production, such as smoking, second-hand smoke, and household fuels. These sources are prevalent in daily life, which enhances the generalisation and wide application of the study’s conclusions. This also better illustrates the global PM2.5 exposure risk worldwide. At that time, the study by Burnett, Richard T et al. made a significant contribution to the global PM2.5 exposure problem and was undoubtedly a major achievement. A global integrated exposure-response risk assessment has been applied similarly, providing a crucial reference for policymakers in the field of global climate policy [ 46 , 47 , 48 ].
Co-citation analysis offers valuable insights into the structural characteristics of a research area. The authors were divided into three clusters based on their citations. Cluster 1 authors focused on studying the impact of PM2.5 levels on the risk of ischemic stroke in various regions of the world. Cluster 2 authors conducted a study on the relationship between PM2.5 levels and ischemic stroke risk in various regions of China. These researches included multiple perspectives on different exposure periods, surrounding environments, and different subtypes of ischemic stroke. Chen Gongbo et al. [ 49 ], Liang, Ruiming et al. [ 50 ] and Zhang, Yi et al. [ 51 ] conducted studies on the effects of long-term and short-term exposure to PM2.5 on the risk of ischemic stroke. They concluded that PM2.5 is associated with a high risk of ischemic stroke, regardless of the duration of exposure. Furthermore, studies have been conducted on the various components of PM2.5. Zhang et al. [ 51 ] discovered that exposure to NH4 + was linked to the highest risk of ischemic stroke, while polycyclic aromatic hydrocarbons (PHS) were primarily associated with ischemic stroke. NH4 + originated mainly from residential and agricultural emissions, while PHS mainly came from automobiles and other related fuel combustion [ 52 , 53 ]. Many of these studies are based on large, multi-city samples, Tian Y et al. conducted a study based on data from the National Urban Workers’ Basic Medical Insurance database, which recorded 8,834,533 patients hospitalized for cardiovascular reasons in 184 cities in China from 1 January 2014 to 31 December 2017. The study found that short-term exposure to PM2.5 was associated with increased hospital admissions for all major cardiovascular diseases except hemorrhagic stroke in China. This association was observed even when exposure levels did not exceed current regulatory limit [ 54 ], Cai M et al. found that exposure to PM2.5 was highly associated with a high risk of ischemic stroke recurrence in China, based on data from more than 1 million stroke patients [ 55 ]. The authors of Cluster 3 focus on risk assessment and model construction related to PM2.5. This provides a reference for preventing and treating PM2.5 exposure in the future.
The top 3 cited references were Brook Robert D et al. 2010 [ 40 ], Wellenius GA et al. 2012 [ 41 ], and Wellenius GA et al. 2005 [ 42 ]. The papers represent early and pioneering research in the field, providing a solid theoretical foundation for subsequent studies. The journals in which they were published are of high quality and widely accepted by researchers. The authors are also leading scientists in the field, and their research results are significantly forward-looking and instructive. The co-cited articles were divided into three categories. Cluster 1 was constructed around Wellenius GA et al. 2012 and Wellenius GA et al. 2005. These studies mainly demonstrated that PM2.5 contributes to the risk of ischemic stroke. Cluster 2 was constructed around Brook Robert D et al. In 2010, multiple cohorts and large sample data further confirmed that PM2.5 increases the risk of ischemic stroke. Cluster 3, as analysed by Tian Yh et al. in 2018, provides insight into the development trend and pattern of ischemic stroke caused by PM2.5 from a time series perspective.
To gain a better understanding of the dynamic developmental changes and patterns in the field, this study utilized Citespace for burst word analysis and Timezone analysis. The findings indicate that between 2006–2016, the field primarily focused on the relationship between air pollution and hospital admissions. The study found that air pollution significantly affected cardiovascular disease admissions, and when ischemic stroke was included in the study of cardiovascular disease. Between 2013 and 2017, researchers increasingly focused on the significant role of particulate matter in air pollution, including the effect of PM2.5 levels on ischemic stroke. The buzzwords during this period were ‘hospital admissions’ and ‘cardiovascular disease’. Between 2017 and 2020, scholars in the field shifted their focus towards the worldwide impact of air pollution. This period also saw a significant increase in the number of articles published in the field, with many developing countries joining the research efforts. The term ‘global burden’ was coined to describe this phenomenon. Since then, researchers have subdivided air pollution into different types, with PM2.5 receiving significant attention as a risk factor. This focus began with the explosion in 2022, which saw a peak in publications on the topic. In recent years, advancements in research methods have enabled researchers to conduct large-scale exposure risk assessments around the world regarding PM2.5 as a risk factor. This has provided valuable insights for the development of global climate policies. Therefore, the key terms for 2020–2024 are “PM2.5”, “risk factor”, and “modelling”.
This bibliometric study examines the impact of PM2.5 on ischemic stroke and serves as a valuable reference for those interested in this field. However, there are some limitations to consider. Firstly, the study only includes research articles, excluding conferences, letters, and articles in non-English languages, which limits the scope of the articles included. Secondly, the search was restricted to the WoSCC database. The WoSCC database covers most research articles, but it is challenging to guarantee the inclusion of all articles in the field. Despite these limitations, they do not affect the broad applicability of the findings of this study. The analyses are based on real-world data, and the results are reliable. They reflect the structural characteristics and dynamics of the field and are valuable for a comprehensive understanding of the field. Additionally, they are highly informative for the study of future trends in the field. There is a significant amount of high-quality evidence from clinical studies, epidemiological investigations, and large-sample model construction regarding the effect of PM2.5 on ischemic stroke. However, the mechanism behind this effect remains unclear and requires further research in the future.
The study of the effects of PM2.5 on ischemic stroke is a relevant and attractive field. Environmentalists, neurologists, and other professionals will continue to advance this field. In recent years, the addition of computationalists and meteorologists has led to the development of models and the use of meteorological satellite remote sensing. Bibliometrics analyses the research framework and hotspots of PM2.5’s impact on ischemic stroke, which is a significant driver of ischemic stroke. The model construction, based on large samples and multiple cohorts, effectively assessed the global exposure risk of PM2.5. This provides an important reference for the development of global climate change response strategies and helps researchers to have a more comprehensive understanding of the field, providing ideas for future research.
No datasets were generated or analysed during the current study.
Airborne fine particulate matter aerodynamic diameter < 2.5 μm
Web Science Core
Polycyclic aromatic hydrocarbons
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We thank all study participants and data collectors for their participation and. cooperation. We also thank the Cerebrovascular Disease Center of Gansu Provincial. Hospital for their comprehensive cooperation and data support. We would like to. Thank the Key Laboratory of Cerebrovascular Disease of Gansu Province, China. (20JR10RA431), the Scientific Research Foundation of Gansu Provincial Hospital, China (Key Discipline Project) (2019 − 395), and Inhalable fine particulate matter. Promotes the activation of DAPKI/ERK pathway in brain tissue and its effect on. Ischemic stroke /ZX-62000001-2023-457.
This study was funded by the Key Laboratory of Cerebrovascular Disease of Gansu Province, China (20JR10RA431),the Scientific Research Foundation of Gansu Provincial Hospital, China (Key Discipline Project) (2019 − 395) and Inhalable fine particulate matter promotes the activation of DAPKI/ERK pathway in brain tissue and its effect on ischemic stroke /ZX-62000001-2023-457. There were no roles in study design, data collection, analysis, decision to publish, or manuscript preparation.
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Cerebrovascular Disease Department, Gansu Provincial Hospital, No.204 West Donggang Road, Lanzhou, 730000, Gansu Province, China
Qian Liu & HeCheng Chen
Key Laboratory of Cerebrovascular Disease of Gansu Province, Gansu Provincial Hospital, Lanzhou, Gansu, China
The First Clinical Medical College of Lanzhou University, Lanzhou, China
Shijie Yang
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Qian Liu: conception, methodology, software, data collection, writing - original manuscript. Shijie Yang: methodology, software, data collection. Chen He Cheng: writing - revision, editing and financial support.
Correspondence to HeCheng Chen .
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The authors declare no competing interests.
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Liu, Q., Yang, S. & Chen, H. Global trends and hotspots in the study of the effects of PM2.5 on ischemic stroke. J Health Popul Nutr 43 , 133 (2024). https://doi.org/10.1186/s41043-024-00622-3
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Received : 16 June 2024
Accepted : 14 August 2024
Published : 28 August 2024
DOI : https://doi.org/10.1186/s41043-024-00622-3
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