High-Cited Papers in Global COVID-19 Vaccine Research (original) (raw)

Abstract

Background and Aim: The coronavirus disease 2019 (COVID-19) virus pandemic is still ravaging the world with its ongoing resurgence and continuous mutation, suggesting the need for continuous research on safe and effective novel vaccines. Presently several types of vaccines have been developed and emerged in the global market to control COVID-19 virus. Consequently, the knowledge and information on COVID-19 have been expanding at a high level. Researchers need to gain relevant knowledge regarding the different vaccines; however scattered information makes this process time-consuming and laborious. The present study aimed to evaluate the characteristics and trends in global COVID-19 vaccine high-cited literature using bibliometric and visualizations methods and offer some directions and suggestions for future research. Methodology: Studies published between December 2019 and 22 Nov 2022 on COVID-19 vaccines were retrieved from the Scopus database. From the 16026 studies retrieved, 406 were identified as high-cited papers (HCPs) having received 100 or more citations. From the 406 HCPs, information about publications outputs, countries, institutions, journals, keywords, and citation counts was identified. Data analysis and visualization were conducted using Microsoft Excel, VOSViewer and Bibliometrix R software. Results: The 406 global HCPs on COVID-19 vaccines research were identified in Scopus database since Dec 2019 till 30 Nov 2022 using a search strategy, which received 123614 citations, averaging 304.17 citations per publication (CPP). An external funding was received by 53.20% (216 publications), which were cited 76107 times (with an average of 352.35 CPP). The 7086 authors from 694 organizations affiliated to 76 countries and publishing in 121 journals were involved in global COVID-19 vaccine research. The most productive countries were USA (n=213), U.K (n=91), China (n=36) and Germany (n=35). The most impactful countries in terms of citations per paper (CPP) and relative citation index (RCI) were South Africa

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References (32)

  1. WHO. COVID-19 vaccines [cited 2.2.23]. Available from: https://www.who.int/team s/regulation-prequalification/eul/COVID-19.
  2. WHO. Coronavirus (COVID-19) Dashboard; Jan 23 2023. Available from: https://co vid19.who.int/ [cited 5.4.2023].
  3. Noe A, Ewer K. Chapter 8. Vaccines against SARS-CoV-2. In: Developments in Immunology, vaccinology and Methods in Vaccine Research edited by Rebecca Ashfield et al. Academic Press; 2022. p. 201-22. doi: 10.1016/B978-0-323-91146-7. 00001-9.
  4. Yap C, Ali A, Prabhakar A, Prabhakar A, Pal A, Lim YY, et al. Comprehensive literature review on COVID-19 vaccines and role of SARS-CoV-2 variants in the pandemic. Ther Adv Vaccines Immunother. 2021;9:25151355211059791. doi: 10.1177/25151355211
  5. WHO. The COVID-19 vaccine tracker and landscape; 2023. Available from: h ttps://www.who.int/publications/m/item/draft-landscape-of-COVID-19-candidate-v accines [cited 5.4.2023].
  6. WHO. The different types of COVID-19 vaccines; Jan 12 2021. Available from: ht tps://www.who.int/news-room/feature-stories/detail/the-race-for-a-COVID-19- vaccine-explained [cited 5.4.2023].
  7. Sarirete A. A Bibliometric Analysis of COVID-19 Vaccines and Sentiment Analysis. Procedia Comput Sci. 2021;194:280-7. doi: 10.1016/j.procs.2021.10.083, PMID 35013686.
  8. Srivastava PR. Intellectual structure and publication pattern in Journal of Global Information Management: A bibliometric analysis during 2002-2020. J Glob Inf Manag. 2021;29(4):1-31.
  9. Tchuente D, Nyawa S, Wamba SF. COVID-19 Vaccine Global Information Management Through Bibliometrics. J Glob Inf Manag. 2022;29(6):1-22. doi: 10.4018/JGIM.294578.
  10. Yi K, Xu JG, Yang KL, Zhang X, Ma L, You T, et al. The top-100 most cited articles of biomarkers in congenital heart disease: A bibliometric analysis. Ann Palliat Med. 2022;11(5):1700-13. doi: 10.21037/apm-21-2422, PMID 35016519.
  11. Shah SM, Ahmad T, Chen S, Yuting G, Liu X, Yuan Y. A bibliometric analysis of the one hundred most cited studies in psychosomatic research. Psychother Psychosom. 2021;90(6):425-30. doi: 10.1159/000516185, PMID 33957635.
  12. Wohlin C. An Analysis of the most cited articles in software engineering journals - 1999. Inf Softw Technol. 2005;47(15):957-64. doi: 10.1016/j.infsof.2005.09.002.
  13. Fardi A, Kodonas K, Gogos C, Economides N. Top-cited articles in endodontic journals. J Endod. 2011;37(9):1183-90. doi: 10.1016/j.joen.2011.05.037, PMID 21846531.
  14. Gupta BM, Dhawan SM, Mueen Ahmed KK, Mamdapur GM. Global research on COVID-19 disease: A scientific assessment of publications during 2020-21. Int J Med Public Health. 2021;11(2):76-84. doi: 10.5530/ijmedph.2021.2.14.
  15. Zyoud SH, Al-Jabi SW. Mapping the situation of research on coronavirus disease-19 (COVID-19): a preliminary bibliometric analysis during the early stage of the outbreak. BMC Infect Dis. 2020;20(1):561. doi: 10.1186/s12879-020-05293-z, PMID 32738881.
  16. Chahrour M, Assi S, Bejjani M, Nasrallah AA, Salhab H, Fares M, et al. A Bibliometric Analysis of COVID-19 Research Activity: a Call for Increased Output. Cureus. 2020;12(3):e7357. doi: 10.7759/cureus.7357, PMID 32328369.
  17. Yu Y, Li Y, Zhang Z, Gu Z, Zhong H, Zha Q,et al. A bibliometric analysis using VOSviewer of publications on COVID-19. Ann Transl Med. 2020;8(13):816. doi: 10.21037/atm-20 -4235, PMID 32793661.
  18. Lou J, Tian SJ, Niu SM, Kang XQ, Lian HX, Zhang LX, et al.. Coronavirus disease 2019: a bibliometric analysis and review. Eur Rev Med Pharmacol Sci. 2020;24(6):3411-21. doi: 10.26355/eurrev_202003_20712. PMID 32271460.
  19. Mao X, Guo L, Fu P, Xiang C. The status and trends of coronavirus research: A global bibliometric and visualized analysis. Medicine. 2020;99(22):e20137. doi: 10.1097/MD .0000000000020137, PMID 32481379.
  20. Tao Z, Zhou S, Yao R, Wen K, Da W, Meng Y, et al. COVID-19 will stimulate a new coronavirus research breakthrough: A 20-year bibliometric analysis. Ann Transl Med. 2020;8(8):528. doi: 10.21037/atm.2020.04.26, PMID 32411751.
  21. Zhai F, Zhai Y, Cong C, Song T, Xiang R, Feng T, et al. Research progress of coronavirus based on bibliometric analysis. Int J Environ Res Public Health. 2020;17(11):3766. doi: 10.3390/ijerph17113766, PMID 32466477.
  22. Zhou Y, Chen L. Twenty-year span of global coronavirus research trends: A bibliometric analysis. Int J Environ Res Public Health. 2020;17(9):3082. doi: 10.3390/ij erph17093082, PMID 32354181.
  23. Ahmad T, Murad MA, Baig M, Hui J. Research trends in COVID-19 vaccine: a bibliometric analysis. Hum Vaccin Immunother. 2021;17(8):2367-72. doi: 10.10 80/21645515.2021.1886806, PMID 33687303.
  24. Gan P, Pan X, Huang S, Xia H, Zhou X, Tang X. Current status of coronavirus disease 2019 vaccine research based on bibliometric analysis. Hum Vaccin Immunother. 2022;18(6):219766. DOI: 10.1080/21645515.2022.211976
  25. Wei WT, Wei CK, Wu CC. Trends in Research about COVID-19 Vaccine Documented through Bibliometric and Visualization Analysis. Healthcare (Basel). 2022;10(10):10101942. doi: 10.3390/healthcare10101942, PMID 36292389.
  26. Chen Y, Cheng L, Lian R, Song Z, Tian J. COVID-19 vaccine research focusses on safety, efficacy, immunoinformatics, and vaccine production and delivery: a bibliometric analysis based on VOSviewer. BioSci Trends. 2021;15(2):64-73. doi: 10.5582/bst.202
  27. Xu Z, Qu H, Ren Y, Gong Z, Ri HJ, Zhang F, et al. Update on the COVID-19 Vaccine Research Trends: a Bibliometric Analysis. Infect Drug Resist. 2021;14:4237-47. doi: 10 .2147/IDR.S335745, PMID 34703250.
  28. Noruzi A, Gholampour B, Gholampour S, Jafari S, Farshid R, Stanek A, et al. Current and Future Perspectives on the COVID-19 Vaccine: a Scientometric Review. J Clin Med. 2022;11(3):750. doi: 10.3390/jcm11030750, PMID 35160202.
  29. Alkan-Çeviker S, Öntürk H, Alıravcı ID, Sıddıkoğlu D. Trends of COVID-19 vaccines: international collaboration and visualized analysis. Infect Dis Clin Microbiol. 2021;3(3):129-36. doi: 10.36519/idcm.2021.70.
  30. Gupta B, Mueen Ahmed K. COVID-2019 Vaccine A Scientometric Assessment of Global Publications during 2020. J Young Pharm. 2022;14(1):37-45. doi: 10.5530/jy p.2022.14.8.
  31. Zeng D, Wang J, Xiao B, Zhang H, Ma X. A bibliometric visualization analysis on vaccine development of coronavirus disease 2019 (COVID-19). Vaccines. 2023;11(2):295. doi: 10.3390/vaccines11020295, PMID 36851173.
  32. Cite this article: Gupta BM, Ahmed KKM, Kappi MM, Bansal M, Bansal J. High-Cited Papers in Global COVID-19 Vaccine Research. Int. J. Pharm. Investigation. 2023;13(3):605-16.