Tom Ketas
Impact in
- Virology top 0.5%
- 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 10
- HIV Research and Treatment 10
-
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 1
- Co-authors
- John P. Moore (9 shared papers)Alexandra Trkola (8 shared papers)Cynthia J. Gordon (2 shared papers)Jamie D. Matthews (2 shared papers)Robin J. Shattock (1 shared paper)Dennis R. Burton (1 shared paper)Per Johan Klasse (1 shared paper)Jennifer Jones (1 shared paper)
- Journals
- Journal of Virology (5 papers)Nature Medicine (1 paper)Journal of Clinical Investigation (1 paper)AIDS Research and Human Retroviruses (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesSwitzerlandPoland
In The Last Decade
Tom Ketas
10 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 67
- Virology 1.2k
- Immunology 705
- Infectious Diseases 599
- Microbiology 86
- Radiology, Nuclear Medicine and Imaging 155
Countries citing papers authored by Tom Ketas
This map shows the geographic impact of Tom Ketas'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 Tom Ketas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Ketas more than expected).
Fields of papers citing papers by Tom Ketas
This network shows the impact of papers produced by Tom Ketas. 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 Tom Ketas. The network helps show where Tom Ketas may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Ketas, 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 | 2003 | 375 | |
| 2 | 2002 | 249 | |
| 3 | 1999 | 197 | |
| 4 | 2003 | 179 | |
| 5 | 1998 | 141 | |
| 6 | 1999 | 135 | |
| 7 | 1999 | 94 | |
| 8 | 2000 | 65 | |
| 9 | 2004 | 36 | |
| 10 | 2001 | 14 |
About Tom Ketas
Tom Ketas is a scholar working on Virology, Immunology, Infectious Diseases, Epidemiology and Microbiology, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), Immune Cell Function and Interaction (7 papers), HIV/AIDS drug development and treatment (5 papers), HIV/AIDS Research and Interventions (3 papers), Reproductive tract infections research (1 paper), Virology and Viral Diseases (1 paper), Herpesvirus Infections and Treatments (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Virology (1.2k citations), Immunology (705 citations), Infectious Diseases (599 citations), Microbiology (86 citations) and Radiology, Nuclear Medicine and Imaging (155 citations). Tom Ketas has collaborated with scholars based in United States, Switzerland and Poland. Frequent co-authors include John P. Moore, Alexandra Trkola, Cynthia J. Gordon, Jamie D. Matthews, Robin J. Shattock, Dennis R. Burton, Per Johan Klasse, Jennifer Jones, Preston A. Marx and Melissa Pope. Their work appears in journals such as Journal of Virology, Nature Medicine, Journal of Clinical Investigation, AIDS Research and Human Retroviruses and Proceedings of the National Academy of Sciences.
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.