Tom Cox
Impact in
- Immunology top 1%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
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- NF-κB Signaling Pathways 2
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- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Co-authors
- Fred Ramsdell (4 shared papers)Roli Khattri (4 shared papers)Rudolph N. Peterson (1 shared paper)Marty T. Mortrud (1 shared paper)Steven F. Ziegler (1 shared paper)Mary E. Brunkow (1 shared paper)Deborah J. Kasprowicz (1 shared paper)Mark W. Appleby (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)Biochemical and Biophysical Research Communications (1 paper)PLoS ONE (1 paper)Nature Immunology (1 paper)Science Immunology (1 paper)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Tom Cox
8 papers receiving 2.7k citations
Tom Cox's Hit Papers
Peers
Comparison fields: 5 of 81
- Immunology 2.3k
- Oncology 346
- Transplantation 33
- Genetics 263
- Virology 36
Countries citing papers authored by Tom Cox
This map shows the geographic impact of Tom Cox'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 Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Cox more than expected).
Fields of papers citing papers by Tom Cox
This network shows the impact of papers produced by Tom Cox. 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 Cox. The network helps show where Tom Cox may publish in the future.
Co-authors
The 24 scholars most cited alongside Tom Cox, 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 | An essential role for Scurfin in CD4+CD25+ T regulatory cells Hit paper breakdown → | 2003 | 2435 |
| 2 | 2001 | 134 | |
| 3 | 2021 | 129 | |
| 4 | 2013 | 38 | |
| 5 | 1989 | 35 | |
| 6 | Pillars Article: An Essential Role for Scurfin in CD4+CD25+ T Regulatory Cells. Nat. Immunol. 2003. 4: 337-342. | 2017 | 28 |
| 7 | 1989 | 11 | |
| 8 | 2017 | 4 |
About Tom Cox
Tom Cox is a scholar working on Cancer Research, Immunology, Gastroenterology, Reproductive Medicine and Neurology, having authored 8 papers that have together received 2.8k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), RNA Interference and Gene Delivery (1 paper), Preterm Birth and Chorioamnionitis (1 paper), Lipid Membrane Structure and Behavior (1 paper), Sperm and Testicular Function (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Immunology (2.3k citations), Oncology (346 citations), Transplantation (33 citations), Genetics (263 citations) and Virology (36 citations). Tom Cox has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Fred Ramsdell, Roli Khattri, Rudolph N. Peterson, Marty T. Mortrud, Steven F. Ziegler, Mary E. Brunkow, Deborah J. Kasprowicz, Mark W. Appleby, Masatoshi Saito and Suhas G. Kallapur. Their work appears in journals such as The Journal of Immunology, Biochemical and Biophysical Research Communications, PLoS ONE, Nature Immunology and Science 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.