James Keck
Impact in
- Virology top 1%
- Poxvirus research and outbreaks
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies
Papers in
- Oncology 36
- CAR-T cell therapy research 17
- Co-authors
- Stephen A. Stohlman (8 shared papers)Bernard Moss (9 shared papers)Shinji Makino (6 shared papers)Michael A. Brehm (16 shared papers)Carl J. Baldick (2 shared papers)Michael M. C. Lai (5 shared papers)Leonard D. Shultz (18 shared papers)Dale L. Greiner (14 shared papers)
- Journals
- Cancer Research (13 papers)Journal of Virology (13 papers)Journal of Clinical Oncology (7 papers)Blood (5 papers)The Journal of Immunology (4 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
James Keck
95 papers receiving 3.3k citations
James Keck's Hit Papers
Peers
Comparison fields: 5 of 103
- Virology 493
- Animal Science and Zoology 807
- Infectious Diseases 1.1k
- Oncology 688
- Immunology 497
Countries citing papers authored by James Keck
This map shows the geographic impact of James Keck'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 James Keck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Keck more than expected).
Fields of papers citing papers by James Keck
This network shows the impact of papers produced by James Keck. 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 James Keck. The network helps show where James Keck may publish in the future.
Co-authors
The 25 scholars most cited alongside James Keck, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 250 | |
| 2 | 2017 | 234 | |
| 3 | Humanized mouse models for immuno-oncology research Hit paper breakdown → | 2023 | 212 |
| 4 | 1985 | 181 | |
| 5 | 1990 | 166 | |
| 6 | 1996 | 162 | |
| 7 | 1988 | 158 | |
| 8 | 1988 | 156 | |
| 9 | 1990 | 132 | |
| 10 | 1991 | 103 | |
| 11 | 1988 | 100 | |
| 12 | 2018 | 85 | |
| 13 | 2019 | 78 | |
| 14 | 1992 | 73 | |
| 15 | 1988 | 73 | |
| 16 | 1990 | 67 | |
| 17 | 2016 | 65 | |
| 18 | 1987 | 60 | |
| 19 | 2009 | 54 | |
| 20 | 1988 | 52 |
About James Keck
James Keck is a scholar working on Oncology, Molecular Biology, Immunology, Infectious Diseases and Genetics, having authored 100 papers that have together received 3.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (17 papers), Viral gastroenteritis research and epidemiology (17 papers), Virus-based gene therapy research (15 papers), Animal Virus Infections Studies (13 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Cancer Research and Treatments (11 papers), Immunotherapy and Immune Responses (11 papers) and Immune Cell Function and Interaction (10 papers). The work is most often cited by research in Virology (493 citations), Animal Science and Zoology (807 citations), Infectious Diseases (1.1k citations), Oncology (688 citations) and Immunology (497 citations). James Keck has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Stephen A. Stohlman, Bernard Moss, Shinji Makino, Michael A. Brehm, Carl J. Baldick, Michael M. C. Lai, Leonard D. Shultz, Dale L. Greiner, S Makino and M M Lai. Their work appears in journals such as Cancer Research, Journal of Virology, Journal of Clinical Oncology, Blood 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.