Alan S. Perelson
Impact in
- Virology top 0.01%
- HIV Research and Treatment
- Modeling and Simulation top 0.02%
Papers in
- Virology 194
- HIV Research and Treatment 194
- Hepatology 119
- Hepatitis C virus research 118
- Co-authors
- David D. HoMartin MarkowitzAvidan U. NeumannRuy M. RibeiroJohn M. LeonardRob J. de BoerPatrick W. NelsonHarel Dahari
- Journals
- Journal of Virology (40 papers)Journal of Theoretical Biology (40 papers)PLoS Computational Biology (31 papers)Proceedings of the National Academy of Sciences (31 papers)Mathematical Biosciences (17 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Alan S. Perelson
515 papers receiving 44.8k citations
Hit Papers
Peers
Comparison fields: 5 of 214
- Virology 19.7k
- Modeling and Simulation 4.5k
- Hepatology 7.5k
- Infectious Diseases 14.4k
- Immunology 12.3k
Countries citing papers authored by Alan S. Perelson
This map shows the geographic impact of Alan S. Perelson'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 Alan S. Perelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan S. Perelson more than expected).
Fields of papers citing papers by Alan S. Perelson
This network shows the impact of papers produced by Alan S. Perelson. 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 Alan S. Perelson. The network helps show where Alan S. Perelson may publish in the future.
Co-authors
The 25 scholars most cited alongside Alan S. Perelson, 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 | 2022 | 52 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 33 | |
| 4 | 2021 | 24 | |
| 5 | 2021 | 10 | |
| 6 | 2021 | 20 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 20 | |
| 9 | 2019 | 60 | |
| 10 | 2019 | 20 | |
| 11 | 2018 | 35 | |
| 12 | 2018 | 41 | |
| 13 | 2018 | 13 | |
| 14 | 2017 | 24 | |
| 15 | 2013 | 12 | |
| 16 | 2012 | 169 | |
| 17 | 2012 | 21 | |
| 18 | 2007 | 58 | |
| 19 | 1997 | 283 | |
| 20 | Cell surface dynamics : concepts and models | 1984 | 59 |
About Alan S. Perelson
Alan S. Perelson is a scholar working on Virology, Hepatology, Infectious Diseases, Immunology and Modeling and Simulation, having authored 521 papers that have together received 46.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (194 papers), Immune Cell Function and Interaction (121 papers), Hepatitis C virus research (118 papers), T-cell and B-cell Immunology (94 papers), HIV/AIDS Research and Interventions (92 papers), HIV/AIDS drug development and treatment (85 papers), Hepatitis B Virus Studies (81 papers) and Liver Disease Diagnosis and Treatment (60 papers). The work is most often cited by research in Virology (19.7k citations), Modeling and Simulation (4.5k citations), Hepatology (7.5k citations), Infectious Diseases (14.4k citations) and Immunology (12.3k citations). Alan S. Perelson has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include David D. Ho, Martin Markowitz, Avidan U. Neumann, Ruy M. Ribeiro, John M. Leonard, Rob J. de Boer, Patrick W. Nelson, Harel Dahari, Libin Rong and George Oster. Their work appears in journals such as Journal of Virology, Journal of Theoretical Biology, PLoS Computational Biology, Proceedings of the National Academy of Sciences and Mathematical Biosciences.
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.