Michael W. Cho
- Virology top 0.5%
- HIV Research and Treatment 27
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 6
- HIV/AIDS drug development and treatment 5
- Immunology top 5%
- Immune Cell Function and Interaction 17
- T-cell and B-cell Immunology 6
- Animal Science and Zoology top 5%
- Epidemiology top 10%
- Herpesvirus Infections and Treatments 4
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- Monoclonal and Polyclonal Antibodies Research 7
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- vaccines and immunoinformatics approaches 4
- Co-authors
- Dong P. HanMalcolm A. MartinAlicia Buckler‐WhiteMyung K. LeeRobert A. OgertWilliam A. RossAdam Penn‐NicholsonTatsuhiko Igarashi
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Michael W. Cho
36 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 83
- Virology 1.1k
- Infectious Diseases 815
- Immunology 715
- Animal Science and Zoology 122
- Epidemiology 355
Countries citing papers authored by Michael W. Cho
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 9 | |
| 2 | 2021 | 39 | |
| 3 | 2017 | 9 | |
| 4 | 2016 | 9 | |
| 5 | 2016 | 17 | |
| 6 | 2015 | 6 | |
| 7 | 2014 | 15 | |
| 8 | 2014 | 6 | |
| 9 | 2011 | 32 | |
| 10 | 2010 | 22 | |
| 11 | 2010 | 32 | |
| 12 | 2007 | 15 | |
| 13 | 2006 | 162 | |
| 14 | 2004 | 56 | |
| 15 | 2002 | 49 | |
| 16 | 2001 | 20 | |
| 17 | 2000 | 18 | |
| 18 | 2000 | 14 | |
| 19 | 1999 | 441 | |
| 20 | 1999 | 25 |
About Michael W. Cho
Michael W. Cho is a scholar working on Virology, Immunology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 36 papers that have together received 1.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (27 papers), Immune Cell Function and Interaction (17 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), T-cell and B-cell Immunology (6 papers), HIV/AIDS drug development and treatment (5 papers), vaccines and immunoinformatics approaches (4 papers) and Herpesvirus Infections and Treatments (4 papers). The work is most often cited by research in Virology (1.1k citations), Infectious Diseases (815 citations), Immunology (715 citations), Animal Science and Zoology (122 citations) and Epidemiology (355 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, Myung K. Lee, Robert A. Ogert, William A. Ross, Adam Penn‐Nicholson, Tatsuhiko Igarashi, Ronald L. Willey and Riri Shibata. Their work appears in journals such as Journal of Virology, 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.