Vimla Naicker
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- HIV/AIDS Research and Interventions 3
- HIV/AIDS drug development and treatment 1
- Virology 4
- HIV Research and Treatment 4
- Co-authors
- Linda‐Gail Bekker (1 shared paper)Glenda Gray (1 shared paper)Yunda Huang (1 shared paper)C Wendy Spearman (1 shared paper)Sheetal Kassim (1 shared paper)James G. Kublin (1 shared paper)Sufia S. Dadabhai (1 shared paper)Johnstone Kumwenda (1 shared paper)
- Journals
- New England Journal of Medicine (2 papers)JAMA Network Open (1 paper)Clinical Infectious Diseases (1 paper)Vaccine (1 paper)EClinicalMedicine (1 paper)
- Partner nations
- South AfricaUnited StatesBelgium
In The Last Decade
Vimla Naicker
12 papers receiving 668 citations
Vimla Naicker's Hit Papers
Peers
Comparison fields: 5 of 49
- Virology 197
- Infectious Diseases 426
- Modeling and Simulation 16
- Pharmaceutical Science 16
- Microbiology 10
Countries citing papers authored by Vimla Naicker
This map shows the geographic impact of Vimla Naicker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vimla Naicker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vimla Naicker more than expected).
Fields of papers citing papers by Vimla Naicker
This network shows the impact of papers produced by Vimla Naicker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vimla Naicker. The network helps show where Vimla Naicker may publish in the future.
Co-authors
The 19 scholars most cited alongside Vimla Naicker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Twice-Yearly Lenacapavir or Daily F/TAF for HIV Prevention in Cisgender Women Hit paper breakdown → | 2024 | 278 |
| 2 | Vaccine Efficacy of ALVAC-HIV and Bivalent Subtype C gp120–MF59 in Adults Hit paper breakdown → | 2021 | 187 |
| 3 | 2021 | 88 | |
| 4 | 2022 | 56 | |
| 5 | 2024 | 29 | |
| 6 | 2023 | 25 | |
| 7 | 2025 | 15 | |
| 8 | 2024 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 0 |
About Vimla Naicker
Vimla Naicker is a scholar working on Infectious Diseases, Virology, Microbiology, Epidemiology and Nuclear Energy and Engineering, having authored 13 papers that have together received 687 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), HIV Research and Treatment (4 papers), HIV/AIDS Research and Interventions (3 papers), HIV/AIDS drug development and treatment (1 paper), Reproductive tract infections research (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Virology (197 citations), Infectious Diseases (426 citations), Modeling and Simulation (16 citations), Pharmaceutical Science (16 citations) and Microbiology (10 citations). Vimla Naicker has collaborated with scholars based in South Africa, United States and Belgium. Frequent co-authors include Linda‐Gail Bekker, Glenda Gray, Yunda Huang, C Wendy Spearman, Sheetal Kassim, James G. Kublin, Sufia S. Dadabhai, Johnstone Kumwenda, Nicole A. Grunenberg and Jia Jin Kee. Their work appears in journals such as New England Journal of Medicine, JAMA Network Open, Clinical Infectious Diseases, Vaccine and EClinicalMedicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.