A bibliometric analysis of COVID-19 publications in neurology by using the visual mapping method

Zhang, Qian; Li, Jian; Weng, Ling

doi:10.3389/fpubh.2022.937008

Cited by 19 publications

(27 citation statements)

References 102 publications

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“…The cumulative time zones of the keywords were mapped using COOC, and Figure 9 shows the top 15 high-frequency keywords for 2020-2022. The graph provides an overall picture of changes in the study path (65)(66)(67)(68). The size of the circles next to the keywords represents the number of keyword occurrences.…”

Section: Emerging Trendsmentioning

confidence: 99%

The evolution of research on depression during COVID-19: A visual analysis using Co-Occurrence and VOSviewer

et al. 2022

Front. Public Health

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BackgroundThe COVID-19 pandemic has led to public health problems, including depression. There has been a significant increase in research on depression during the COVID-19 pandemic. However, little attention has been paid to the overall trend in this field based on bibliometric analyses.MethodsCo-Occurrence (COOC) and VOSviewer bibliometric methods were utilized to analyze depression in COVID-19 literature in the core collection of the Web of Science (WOS). The overall characteristics of depression during COVID-19 were summarized by analyzing the number of published studies, keywords, institutions, and countries.ResultsA total of 9,694 English original research articles and reviews on depression during COVID-19 were included in this study. The United States, China, and the United Kingdom were the countries with the largest number of publications and had close cooperation with each other. Research institutions in each country were dominated by universities, with the University of Toronto being the most productive institution in the world. The most frequently published author was Ligang Zhang. Visualization analysis showed that influencing factors, adverse effects, and coping strategies were hotspots for research.ConclusionThe results shed light on the burgeoning research on depression during COVID-19, particularly the relationship between depression and public health. In addition, future research on depression during COVID-19 should focus more on special groups and those at potential risk of depression in the general population, use more quantitative and qualitative studies combined with more attention to scale updates, and conduct longitudinal follow-ups of the outcomes of interventions. In conclusion, this study contributes to a more comprehensive view of the development of depression during COVID-19 and suggests a theoretical basis for future research on public health.

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Section: Emerging Trendsmentioning

confidence: 99%

The evolution of research on depression during COVID-19: A visual analysis using Co-Occurrence and VOSviewer

et al. 2022

Front. Public Health

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“…Third, citation counts were used as an important indicator to evaluate the quality, and the influence of publications is still controversial because the journal impact factor, H-index, mquotient, and authorship value also provide a good reference value (8). Fourth, we included only English publications in this survey.…”

Section: Limitationmentioning

confidence: 99%

“…Thus, it is important to find the key publications and understand the state-of-the-art techniques in this field. Bibliometric analysis is used to analyze the current status and frontier topics in this field (8)(9)(10). Previous studies explored the trend of animal models used for Alzheimer's disease (11) and scoliosis (12).…”

Section: Introductionmentioning

confidence: 99%

Animal model contributes to the development of intracranial aneurysm: A bibliometric analysis

Chen

Liu

et al. 2022

Front. Vet. Sci.

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IntroductionStudies on intracranial aneurysms (IAs) using animal models have evolved for decades. This study aimed to analyze major contributors and trends in IA-related animal research using bibliometric analysis.MethodsIA-related animal studies were retrieved from the Web of Science database. Microsoft Excel 2010, GraphPad Prism 6, VOSviewer, and CiteSpace were used to collect and analyze the characteristics of this field.ResultsA total of 273 publications were retrieved. All publications were published between 1976 and 2021, and the peak publication year is 2019. Rat model were used in most of the publications, followed by mice and rabbits. Japan (35.5%), the United States (30.0%), and China (20.1%) were the top three most prolific countries. Although China ranks third in the number of publications, it still lacks high-quality articles and influential institutions. Stroke was the most prolific journal that accepted publications related to IA research using animal models. Circulation has the highest impact factor with IA-related animal studies. Hashimoto N contributed the largest number of articles. Meng hui journal published the first and second highest cited publications. The keywords “subarachnoid hemorrhage,” “macrophage,” “rupture,” “mice,” “elastase,” “gene,” “protein,” “proliferation,” and “risk factors” might be a new trend for studying IA-related animal research.ConclusionsJapan and the Unites States contributed the most to IA–related animal studies, in terms of both researchers and institutions. Although China ranks third in terms of the number of publications, it should strengthen the quality of its publications. Researchers should pay attention to the latest progress of Stroke, Journal of Neurosurgery, Neurosurgery, and Circulation for their high-quality IA-related animal studies. Using animal IA models, especially mice, to investigate the molecular mechanisms of IA may be the frontier topic now and in future.

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“…Bibliometric analysis is a big data-based scientific mapping method used to investigate the key contributors (e.g., country, institution, author, and journal) and identify the collaborative network between them in a given field. Additionally, it can identify the main Frontier research topics ( Zhang et al, 2022a ; Zhang et al, 2022b ). Several tools, such as CiteSpace and VOSviewer, are popularly used for bibliometric analysis, primarily to explore the potential relationships between the published literatures and assess progress made in a particular field ( Zhang et al, 2022a ).…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, it can identify the main Frontier research topics ( Zhang et al, 2022a ; Zhang et al, 2022b ). Several tools, such as CiteSpace and VOSviewer, are popularly used for bibliometric analysis, primarily to explore the potential relationships between the published literatures and assess progress made in a particular field ( Zhang et al, 2022a ). Over the years, these two bibliometric tools have been widely used to predict hot topics and future research trends in several medical domains, such as cardiovascular diseases, ARDS, sepsis, host immune response, etc., ( Chen, 2006 ; Avcu et al, 2015 ; Perianes-Rodriguez et al, 2016 ; Yao et al, 2020 ; Ma et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Global trends and Frontier topics about vascular smooth muscle cells phenotype switch: A bibliometric analysis from 1999 to 2021

et al. 2022

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Objective: Vascular smooth muscle cell phenotype switch (VSMCPS) plays a significant role in vascular remodeling. This study aimed to conduct a bibliometric analysis and visualize the knowledge map of research on VSMCPS.Methods: We retrieved publications focusing on VSMCPS from the Web of Science Core Collection database (SCI-EXPANDED) from 1999 to 2021. Using bibliometric tools, VOSviewer and CiteSpace, we identified the most productive researchers, journals, institutions, and countries. At the same time, the trends, hot topics, and knowledge networks were analyzed and visualized.Results: A total of 2213 publications were included in this analysis. The number of annual publications in the VSMCPS field exhibited an upward trend and could be roughly divided into three phases. Until 2006, the most prolific authors were from the United States. As of 2008, the number of articles published in China increased dramatically to reach 126 papers in 2020. As of 2014, China was the most productive country in this field. The United States ranked first in the number of highly-influential authors, institutions, and literature from 1999 to 2022. Owens GK, Hata, Akiko, and Wen, jin-kun were the most prolific authors. Arteriosclerosis Thrombosis and Vascular Biology, Circulation Research, and Cardiovascular Research were the top-ranked journals in this field. “Vascular remodeling,” “atherosclerosis,” “neointima,” “hypertension”, and “inflammation” were the main researched topics. New diseases, new mechanisms, and new phenotype (e.g., micro RNA, macrophage-like-cell, hypoxia, autophagy, long noncoding RNA, oxidative stress, endoplasmic reticulum stress, senescence, aging, abdominal aortic aneurysm, and aortic dissection) represent the trending topics in recent years.Conclusion: This study systematically analyzed and visualized the knowledge map of VSMCPS over the past 2 decades. Our findings provide a comprehensive overview for scholars who want to understand current trends and new research frontiers in this area.

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A bibliometric analysis of COVID-19 publications in neurology by using the visual mapping method

Cited by 19 publications

References 102 publications

The evolution of research on depression during COVID-19: A visual analysis using Co-Occurrence and VOSviewer

The evolution of research on depression during COVID-19: A visual analysis using Co-Occurrence and VOSviewer

Animal model contributes to the development of intracranial aneurysm: A bibliometric analysis

Global trends and Frontier topics about vascular smooth muscle cells phenotype switch: A bibliometric analysis from 1999 to 2021

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