Thomas J. Sayers
- Immunology top 0.5%
- Immune Cell Function and Interaction 35
- Immunotherapy and Immune Responses 26
- T-cell and B-cell Immunology 17
- Oncology top 1%
- CAR-T cell therapy research 14
- Cancer-related Molecular Pathways 7
- Hematology top 2%
- Cancer Research top 5%
- Molecular Biology top 5%
- Cell death mechanisms and regulation 26
- Ubiquitin and proteasome pathways 9
-
- Phytochemicals and Medicinal Plants 7
- Co-authors
- William J. MurphyAlan D. BrooksMark J. SmythJohn R. OrtaldoRobert H. WiltroutDennis D. TaubC R CarterAnatoli Malyguine
- Cited by
- ImmunologyOncologyHematology
- Journals
- The Journal of Immunology (25 papers)Cancer Immunology Immunotherapy (6 papers)Journal of Leukocyte Biology (5 papers)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Thomas J. Sayers
104 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 158
- Immunology 3.1k
- Oncology 1.7k
- Hematology 619
- Cancer Research 506
- Molecular Biology 2.2k
Countries citing papers authored by Thomas J. Sayers
This map shows the geographic impact of Thomas J. Sayers'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 Thomas J. Sayers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas J. Sayers more than expected).
Fields of papers citing papers by Thomas J. Sayers
This network shows the impact of papers produced by Thomas J. Sayers. 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 Thomas J. Sayers. The network helps show where Thomas J. Sayers may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas J. Sayers, 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 | 12 | |
| 2 | 2015 | 23 | |
| 3 | 2015 | 15 | |
| 4 | 2014 | 20 | |
| 5 | 2012 | 27 | |
| 6 | 2010 | 54 | |
| 7 | 2009 | 38 | |
| 8 | 2006 | 30 | |
| 9 | 2004 | 165 | |
| 10 | 2004 | 32 | |
| 11 | 2003 | 27 | |
| 12 | 2003 | 84 | |
| 13 | 2002 | 111 | |
| 14 | 2001 | 77 | |
| 15 | 2000 | 61 | |
| 16 | 1994 | 27 | |
| 17 | 1993 | 52 | |
| 18 | 1993 | 38 | |
| 19 | 1990 | 17 | |
| 20 | 1989 | 5 |
About Thomas J. Sayers
Thomas J. Sayers is a scholar working on Immunology, Oncology, Complementary and alternative medicine, Hematology and Molecular Biology, having authored 104 papers that have together received 5.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (35 papers), Cell death mechanisms and regulation (26 papers), Immunotherapy and Immune Responses (26 papers), T-cell and B-cell Immunology (17 papers), CAR-T cell therapy research (14 papers), Ubiquitin and proteasome pathways (9 papers), Cancer-related Molecular Pathways (7 papers) and Phytochemicals and Medicinal Plants (7 papers). The work is most often cited by research in Immunology (3.1k citations), Oncology (1.7k citations), Hematology (619 citations), Cancer Research (506 citations) and Molecular Biology (2.2k citations). Thomas J. Sayers has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include William J. Murphy, Alan D. Brooks, Mark J. Smyth, John R. Ortaldo, Robert H. Wiltrout, Dennis D. Taub, C R Carter, Anatoli Malyguine, Naoko Seki and Curtis J. Henrich. Their work appears in journals such as The Journal of Immunology, Cancer Immunology Immunotherapy, Journal of Leukocyte Biology, Immunology Letters and Cancer Research.
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.