Michael Tuen
Impact in
- Virology top 1%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Virology 28
- HIV Research and Treatment 27
- Immunology 23
- Immune Cell Function and Interaction 20
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 5
- Co-authors
- Catarina E. Hioe (23 shared papers)Maria Luisa Visciano (7 shared papers)Rajnish Kumar (6 shared papers)Peter Chien (7 shared papers)Yelina Alvarez (3 shared papers)James Arthos (2 shared papers)Miroslaw K. Górny (6 shared papers)Sandra Cohen (7 shared papers)
- Journals
- Journal of Virology (6 papers)Vaccine (3 papers)Virology (3 papers)Retrovirology (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesCameroonIndia
In The Last Decade
Michael Tuen
33 papers receiving 766 citations
Peers
Comparison fields: 5 of 64
- Virology 488
- Immunology 469
- Infectious Diseases 219
- Radiology, Nuclear Medicine and Imaging 97
- Epidemiology 134
Countries citing papers authored by Michael Tuen
This map shows the geographic impact of Michael Tuen'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 Tuen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Tuen more than expected).
Fields of papers citing papers by Michael Tuen
This network shows the impact of papers produced by Michael Tuen. 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 Tuen. The network helps show where Michael Tuen may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Tuen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 94 | |
| 2 | 2001 | 61 | |
| 3 | 2008 | 51 | |
| 4 | 2009 | 49 | |
| 5 | 2022 | 45 | |
| 6 | 2009 | 41 | |
| 7 | 2011 | 40 | |
| 8 | 2008 | 36 | |
| 9 | 2007 | 34 | |
| 10 | 2011 | 33 | |
| 11 | 2013 | 33 | |
| 12 | 2011 | 32 | |
| 13 | 2005 | 24 | |
| 14 | 2001 | 21 | |
| 15 | 2004 | 21 | |
| 16 | 2017 | 18 | |
| 17 | 2018 | 18 | |
| 18 | 2007 | 16 | |
| 19 | 2012 | 15 | |
| 20 | 2011 | 13 |
About Michael Tuen
Michael Tuen is a scholar working on Virology, Immunology, Infectious Diseases, Epidemiology and Molecular Biology, having authored 33 papers that have together received 773 indexed citations. Recurring topics across this work include HIV Research and Treatment (27 papers), Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (10 papers), HIV/AIDS drug development and treatment (6 papers), Immunotherapy and Immune Responses (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Herpesvirus Infections and Treatments (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Virology (488 citations), Immunology (469 citations), Infectious Diseases (219 citations), Radiology, Nuclear Medicine and Imaging (97 citations) and Epidemiology (134 citations). Michael Tuen has collaborated with scholars based in United States, Cameroon and India. Frequent co-authors include Catarina E. Hioe, Maria Luisa Visciano, Rajnish Kumar, Peter Chien, Yelina Alvarez, James Arthos, Miroslaw K. Górny, Sandra Cohen, Jianping Liu and Michael A. Poles. Their work appears in journals such as Journal of Virology, Vaccine, Virology, Retrovirology and The Journal of Immunology.
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.