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. 2022 Dec 31;18(1):2014733.
doi: 10.1080/21645515.2021.2014733. Epub 2022 Jan 11.

HIV-1 genetic diversity a challenge for AIDS vaccine development: a retrospective bibliometric analysis

Abdur Rashid  1   2 , Kang Li  2   3 , Yi Feng  2 , Tauseef Ahmad  4 , Yimam Getaneh  2 , Yueyang Yu  1   2 , Xiaoyan Hu  1   2 , Syed Hani Abidi  5 , Yiming Shao  1   2
Affiliations

HIV-1 genetic diversity a challenge for AIDS vaccine development: a retrospective bibliometric analysis

Abdur Rashid et al. Hum Vaccin Immunother. .

Abstract

Background: Despite recent advances in human immunodeficiency virus-1 (HIV-1) prevention, a fast, safe, and effective vaccine will probably be necessary to end the HIV/AIDS pandemic. This study was conducted to evaluate global research trends and map the key bibliometric indices in HIV-1 genetic diversity from 1998 to 2021.

Methods: A comprehensive online search was conducted in the Web of Science Core Collection database to retrieve published literature on HIV-1 genetic diversity. Key bibliometric indicators were calculated and evaluated using HistCiteTM, Bibliometrix: An R-tool, and VOSviewer software for windows.

Results: A total of 2,060 documents written by 9,201 authors and published in 250 journals were included in the final analysis. Year 2012 was the most productive year with 121 (5.87%) publications. The most prolific author was Shao Yiming (n = 74, 3.59%) from Chinese Center for Disease Control and Prevention. The United States of America was the highly contributing and influential country (n = 681, 33.05%). AIDS Research and Human Retroviruses was the most productive journal (n = 562, 27.2%). Network visualization shows that HIV-1 was the most widely used author keyword.

Conclusion: This study provides global research trends and detailed information on HIV-1 genetic diversity. The amount of scientific literature on HIV-1 genetic diversity research has rapidly increased in the last two decades. The maximum number of articles on HIV-1 genetic diversity was published in developed countries; therefore, a scientific research collaboration among researchers and institutes in low-income countries should be promoted and supported.

Keywords: HIV-1; Web of Science Core Collection; bibliometric analysis; genetic diversity; vaccine.

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Conflict of interest statement

No potential conflict of interest was reported by the author(s).

Figures

Figure 1.
Figure 1.
Annual distribution of publications on HIV-1 genetic diversity from 1998- May 15, 2021.
Figure 2.
Figure 2.
Top 10 most prolific authors’ in HIV-1 genetic diversity.
Figure 3.
Figure 3.
Top 10 journals annual distribution of publications on HIV-1 genetic diversity.
Figure 4.
Figure 4.
(a) Corresponding authors’ countries annual distribution of publications. (b) Mutual collaboration between the corresponding authors’ countries in HIV-1 genetic diversity research.
Figure 5.
Figure 5.
Coauthorship countries network visualization. Nine clusters between 50 coauthorship countries; Cluster 1 (Countries 14: Belgium, Bulgaria, Denmark, Finland, Greece, India, Israel, Italy, Luxembourg, Mexico, Netherlands, Romania, South Korea, Sweden; Cluster 2 (Countries 8: Burkina Faso, Cameroon, Cote Ivoire, Democratic Republic of Cango, France, Gabon, Republic of Cango, Senegal); Cluster 3 (Countries 6: England, Pakistan, Scotland, Uganda, USA, Zambia); Cluster 4 (Countries 6: Australia, Japan, Malaysia, China, Taiwan, Thailand); Cluster 5 (Countries 5: Angola, Argentina, Brazil, Peru, Portugal); Cluster 6 (Countries 4: Cuba, Russia, Spain, Switzerland); Cluster 7 (Countries 3: Canada, Iran, Kenya); Cluster 8 (Countries 3: Germany, South Africa, Tanzania); Cluster 9 (Countries 1: Nigeria).
Figure 6.
Figure 6.
(a) Author keywords co-occurrence network visualization. Eight clusters were formed; Cluster 1: (13 keywords) Cluster 2: (10 keywords), Cluster 3: (9 keywords), Cluster 4: (9 keywords), Cluster 5: (7 keywords), Cluster 6: (6 keywords), Cluster 7: (4 keywords), cluster 8: (4 keywords). (b) Authors’ keywords wordcloud visualization analysis.
Figure 7.
Figure 7.
Cited sources network visualization. Four clusters were formed; Cluster 1 (sources 66), Cluster 2 (sources 64), Cluster 3 (Sources 29), Cluster 4 (sources 19).
See this image and copyright information in PMC

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