Sandhya Vasan
Impact in
- Virology top 2%
- HIV Research and Treatment
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS drug development and treatment
Papers in
- Virology 41
- HIV Research and Treatment 40
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- HIV/AIDS Research and Interventions 22
- HIV/AIDS drug development and treatment 8
- Co-authors
- Moriya Tsuji (5 shared papers)Xiangming Li (3 shared papers)David D. Ho (4 shared papers)Chi‐Huey Wong (2 shared papers)Douglass Wu (2 shared papers)Masakazu Fujio (1 shared paper)Masakazu Imamura (1 shared paper)Nelson L. Michael (12 shared papers)
- Journals
- AIDS (5 papers)JAIDS Journal of Acquired Immune Deficiency Syndromes (3 papers)PLoS Pathogens (3 papers)AIDS Research and Human Retroviruses (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesThailandNetherlands
In The Last Decade
Sandhya Vasan
56 papers receiving 988 citations
Peers
Comparison fields: 5 of 81
- Virology 390
- Infectious Diseases 405
- Immunology 447
- Modeling and Simulation 27
- Biotechnology 44
Countries citing papers authored by Sandhya Vasan
This map shows the geographic impact of Sandhya Vasan'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 Sandhya Vasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandhya Vasan more than expected).
Fields of papers citing papers by Sandhya Vasan
This network shows the impact of papers produced by Sandhya Vasan. 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 Sandhya Vasan. The network helps show where Sandhya Vasan may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandhya Vasan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 150 | |
| 2 | 2020 | 127 | |
| 3 | 2004 | 66 | |
| 4 | 2021 | 47 | |
| 5 | 2010 | 43 | |
| 6 | 2010 | 42 | |
| 7 | 2023 | 41 | |
| 8 | 2007 | 39 | |
| 9 | 2013 | 37 | |
| 10 | 2021 | 34 | |
| 11 | 2016 | 30 | |
| 12 | 2021 | 27 | |
| 13 | 2012 | 24 | |
| 14 | 2009 | 21 | |
| 15 | 2013 | 19 | |
| 16 | 2021 | 15 | |
| 17 | 2020 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2022 | 13 | |
| 20 | 2020 | 12 |
About Sandhya Vasan
Sandhya Vasan is a scholar working on Virology, Infectious Diseases, Immunology, Epidemiology and Emergency Medicine, having authored 60 papers that have together received 998 indexed citations. Recurring topics across this work include HIV Research and Treatment (40 papers), HIV/AIDS Research and Interventions (22 papers), Immune Cell Function and Interaction (18 papers), HIV/AIDS drug development and treatment (8 papers), T-cell and B-cell Immunology (7 papers), HIV, Drug Use, Sexual Risk (6 papers), HIV-related health complications and treatments (6 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Virology (390 citations), Infectious Diseases (405 citations), Immunology (447 citations), Modeling and Simulation (27 citations) and Biotechnology (44 citations). Sandhya Vasan has collaborated with scholars based in United States, Thailand and Netherlands. Frequent co-authors include Moriya Tsuji, Xiangming Li, David D. Ho, Chi‐Huey Wong, Douglass Wu, Masakazu Fujio, Masakazu Imamura, Nelson L. Michael, Denise C. Hsu and Martin Markowitz. Their work appears in journals such as AIDS, JAIDS Journal of Acquired Immune Deficiency Syndromes, PLoS Pathogens, AIDS Research and Human Retroviruses and PLoS ONE.
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.