Michael W. Cho

2.6k citations
40 papers · 2.1k · h-index 21

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
    • SARS-CoV-2 and COVID-19 Research
    • HIV/AIDS drug development and treatment
    • Viral gastroenteritis research and epidemiology

Papers in

    • HIV Research and Treatment 27
    • Immune Cell Function and Interaction 16
    • T-cell and B-cell Immunology 7

Michael W. Cho

39 papers receiving 2.0k citations

Peers

Michael W. Cho
Comparison fields: 5 of 84
  • Virology 1.1k
  • Infectious Diseases 897
  • Immunology 688
  • Animal Science and Zoology 175
  • Cardiology and Cardiovascular Medicine 256
Replace Wade Blair with:
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Jing Jin China
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Barbara S. Schnierle Germany
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Michael W. Cho relative to Wade Blair United States Wade Blair's profile →
Citations per field
00.5×3.1×
Wade Blair · 1×
Citations per year

Countries citing papers authored by Michael W. Cho

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael W. Cho. 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 Michael W. Cho. The network helps show where Michael W. Cho may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999441
2 1994260
3 2006165
4 1998132
5 2006115
6 2001106
7 2007103
8 200178
9 200963
10 200456
11 200851
12 200249
13 202139
14 200237
15 199133
16 201032
17 201132
18 199925
19 200024
20 201022

About Michael W. Cho

Michael W. Cho is a scholar working on Virology, Immunology, Infectious Diseases, Epidemiology and Molecular Biology, having authored 40 papers that have together received 2.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (27 papers), Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), HIV/AIDS drug development and treatment (5 papers), vaccines and immunoinformatics approaches (5 papers) and Herpesvirus Infections and Treatments (4 papers). The work is most often cited by research in Virology (1.1k citations), Infectious Diseases (897 citations), Immunology (688 citations), Animal Science and Zoology (175 citations) and Cardiology and Cardiovascular Medicine (256 citations). Michael W. Cho has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Dong P. Han, Malcolm A. Martin, Alicia Buckler‐White, Ellie Ehrenfeld, Myung K. Lee, William A. Ross, Robert A. Ogert, Adam Penn‐Nicholson, Tatsuhiko Igarashi and Kurt Bienz. Their work appears in journals such as Virology, Journal of Virology, PLoS ONE, Frontiers in Immunology and AIDS Research and Human Retroviruses.

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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