Mark G. Lewis

44.3k citations
193 papers · 9.2k indexed · 5 hit papers · h-index 50

Impact in

  • Virology top 0.05%
    • HIV Research and Treatment
  • Immunology top 0.5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • HIV Research and Treatment 130
    • Immune Cell Function and Interaction 61
    • T-cell and B-cell Immunology 38
    • Immunotherapy and Immune Responses 33

Mark G. Lewis

190 papers receiving 8.9k citations

Hit Papers

Reduced pathogenicity of the SARS-CoV-2 omicron variant in hamsters 2022 · 119 citations
11919992026200820172505007501000

Peers

Mark G. Lewis
Comparison fields: 5 of 134
  • Virology 5.2k
  • Immunology 4.1k
  • Infectious Diseases 3.4k
  • Epidemiology 2.5k
  • Microbiology 244
Replace François Villinger with:
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Mark G. Lewis relative to François Villinger United States François Villinger's profile →
Citations per field
00.5×1.5×
François Villinger · 1×
Citations per year

Countries citing papers authored by Mark G. Lewis

Since Specialization
Citations

This map shows the geographic impact of Mark G. Lewis'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 Mark G. Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark G. Lewis more than expected).

Fields of papers citing papers by Mark G. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark G. Lewis. 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 Mark G. Lewis. The network helps show where Mark G. Lewis may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark G. Lewis, 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 Mark G. Lewis Line = papers co-authored together Mark G. Lewis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 202112
4 20203
5 201918
6 201844
7 2018116
8 2016211
9 201510
10 2011145
11 200575
12 200011
13 199481
14 19949
15 199425
16 199325
17 199349
18 199253
19 19926
20
Determination of mechanism of feline retroviral suppression of the feline immune system /
19831

About Mark G. Lewis

Mark G. Lewis is a scholar working on Virology, Immunology, Infectious Diseases, Epidemiology and Genetics, having authored 193 papers that have together received 9.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (130 papers), Immune Cell Function and Interaction (61 papers), T-cell and B-cell Immunology (38 papers), Immunotherapy and Immune Responses (33 papers), HIV/AIDS Research and Interventions (30 papers), Herpesvirus Infections and Treatments (26 papers), Virus-based gene therapy research (24 papers) and Cytomegalovirus and herpesvirus research (20 papers). The work is most often cited by research in Virology (5.2k citations), Immunology (4.1k citations), Infectious Diseases (3.4k citations), Epidemiology (2.5k citations) and Microbiology (244 citations). Mark G. Lewis has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Thomas C. VanCott, John R. Mascola, Deborah L. Birx, Hermann Katinger, Gabriela Stiegler, Sarah S. Frankel, Chris E. Hanson, Calvin B. Carpenter, Hanné Andersen and David C. Montefiori. Their work appears in journals such as Journal of Virology, AIDS Research and Human Retroviruses, Vaccine, PLoS ONE and AIDS.

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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