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Research Progress of Coronavirus Based on Bibliometric Analysis

Author

Listed:
  • Fei Zhai

    (School of Medical Equipment, Shenyang Pharmaceutical University, Shenyang 110016, China
    Liaoning Medical Big Data and Artificial Intelligence Engineering Technology Research Center, Shenyang 110016, China)

  • Yuxuan Zhai

    (School of Medical Equipment, Shenyang Pharmaceutical University, Shenyang 110016, China
    Liaoning Medical Big Data and Artificial Intelligence Engineering Technology Research Center, Shenyang 110016, China)

  • Chuang Cong

    (Shenyang Health Service and Administrative Law Enforcement Center, Shenyang 110031, China)

  • Tingyan Song

    (School of Medical Equipment, Shenyang Pharmaceutical University, Shenyang 110016, China)

  • Rongwu Xiang

    (School of Medical Equipment, Shenyang Pharmaceutical University, Shenyang 110016, China
    Liaoning Medical Big Data and Artificial Intelligence Engineering Technology Research Center, Shenyang 110016, China)

  • Tianyi Feng

    (School of Materials Science and Engineering, Tsinghua University, Beijing 100084, China)

  • Zhengxuan Liang

    (Pharmaceutical Materials Science and Engineering Laboratory, College of Pharmacy, University of Minnesota, Minneapolis, MN 55455, USA)

  • Ya Zeng

    (School of Pharmacy, Shenyang Pharmaceutical University, Shenyang 110016, China)

  • Jing Yang

    (School of Pharmacy, Shenyang Pharmaceutical University, Shenyang 110016, China)

  • Jie Yang

    (School of Pharmacy, Shenyang Pharmaceutical University, Shenyang 110016, China)

  • Jiankun Liang

    (School of Medical Equipment, Shenyang Pharmaceutical University, Shenyang 110016, China
    Liaoning Medical Big Data and Artificial Intelligence Engineering Technology Research Center, Shenyang 110016, China)

Abstract

Background: COVID-19 has become one of the most serious global epidemics in the 21st Century. This study aims to explore the distribution of research capabilities of countries, institutions, and researchers, and the hotspots and frontiers of coronavirus research in the past two decades. In it, references for funding support of urgent projects and international cooperation among research institutions are provided. Method: the Web of Science core collection database was used to retrieve the documents related to coronavirus published from 2003 to 2020. Citespace.5.6.R2, VOSviewer1.6.12, and Excel 2016 were used for bibliometric analysis. Results: 11,036 documents were retrieved, of which China and the United States have contributed the most coronavirus studies, Hong Kong University being the top contributor. Regarding journals, the Journal of Virology has contributed the most, while in terms of researchers, Yuen Kwok Yung has made the most contributions. The proportion of documents published by international cooperation has been rising for decades. Vaccines for SARS-CoV-2 are under development, and clinical trials of several drugs are ongoing. Conclusions: international cooperation is an important way to accelerate research progress and achieve success. Developing corresponding vaccines and drugs are the current hotspots and research directions.

Suggested Citation

  • Fei Zhai & Yuxuan Zhai & Chuang Cong & Tingyan Song & Rongwu Xiang & Tianyi Feng & Zhengxuan Liang & Ya Zeng & Jing Yang & Jie Yang & Jiankun Liang, 2020. "Research Progress of Coronavirus Based on Bibliometric Analysis," IJERPH, MDPI, vol. 17(11), pages 1-15, May.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:11:p:3766-:d:363126
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    References listed on IDEAS

    as
    1. Zhengting Wang & Yongdi Chen & Gaofeng Cai & Zhenggang Jiang & Kui Liu & Bin Chen & Jianmin Jiang & Hua Gu, 2016. "A Bibliometric Analysis of PubMed Literature on Middle East Respiratory Syndrome," IJERPH, MDPI, vol. 13(6), pages 1-9, June.
    2. Chaomei Chen & Loet Leydesdorff, 2014. "Patterns of connections and movements in dual-map overlays: A new method of publication portfolio analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(2), pages 334-351, February.
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    Cited by:

    1. Bote Qi & Shuting Jin & Hongsheng Qian & Yu Zou, 2020. "Bibliometric Analysis of Chronic Traumatic Encephalopathy Research from 1999 to 2019," IJERPH, MDPI, vol. 17(15), pages 1-15, July.
    2. Guangyue Wei, 2024. "The Features and Trends of the Economic Literature Related to COVID-19: A Bibliometric Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 15904-15930, December.

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