Alan S. Perelson

71.3k citations
521 papers · 46.5k indexed · 16 hit papers · h-index 104

Impact in

Papers in

Alan S. Perelson

515 papers receiving 44.8k citations

Hit Papers

Persistent HIV-1 replication is associated with lower antiretroviral drug concentrations in lymphatic tissues 2014 · 503 citations
503197920261994201010002.0k3.0k

Peers

Alan S. Perelson
Comparison fields: 5 of 214
  • Virology 19.7k
  • Modeling and Simulation 4.5k
  • Hepatology 7.5k
  • Infectious Diseases 14.4k
  • Immunology 12.3k
Replace David D. Ho with:
David D. Ho United States
Albert D. M. E. Osterhaus Netherlands
Edward C. Holmes Australia
Sebastian Bonhoeffer Switzerland
Alessandro Sette United States
Oliver G. Pybus United Kingdom
Avidan U. Neumann Israel
Donald S. Burke United States
Roy M. Anderson United Kingdom
Kwok‐Yung Yuen Hong Kong
Alan S. Perelson relative to David D. Ho United States David D. Ho's profile →
Citations per field
00.5×4.8×
David D. Ho · 1×
Citations per year

Countries citing papers authored by Alan S. Perelson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Alan S. Perelson Line = papers co-authored together Alan S. Perelson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202252
2 20222
3 202133
4 202124
5 202110
6 202120
7 20218
8 202020
9 201960
10 201920
11 201835
12 201841
13 201813
14 201724
15 201312
16 2012169
17 201221
18 200758
19 1997283
20
Cell surface dynamics : concepts and models
198459

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.

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