Thomas C. Caffrey
Impact in
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
- Immunology top 10%
- Galectins and Cancer Biology
- Immunotherapy and Immune Responses
Papers in
-
- Cancer Research and Treatments 3
- Oncology 12
- Pancreatic and Hepatic Oncology Research 8
- Co-authors
- Michael A. HollingsworthKeith R. JohnsonDavid R. MackPankaj K. SinghPrakash RadhakrishnanMargaret J. WheelockShinichi KitajimaDavid J. Thomas
- Journals
- Clinical Cancer Research (3 papers)Molecular Cancer Therapeutics (2 papers)Toxicology (2 papers)Cancer Immunology Immunotherapy (2 papers)Cancers (2 papers)
- Partner nations
- United StatesPortugalJapan
In The Last Decade
Thomas C. Caffrey
34 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 87
- Oncology 507
- Immunology 375
- Cancer Research 263
- Molecular Biology 1000
- Cell Biology 160
Countries citing papers authored by Thomas C. Caffrey
This map shows the geographic impact of Thomas C. Caffrey'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 C. Caffrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas C. Caffrey more than expected).
Fields of papers citing papers by Thomas C. Caffrey
This network shows the impact of papers produced by Thomas C. Caffrey. 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 C. Caffrey. The network helps show where Thomas C. Caffrey may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas C. Caffrey, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 11 | |
| 4 | 2020 | 16 | |
| 5 | 2019 | 44 | |
| 6 | 2019 | 18 | |
| 7 | 2019 | 33 | |
| 8 | 2019 | 37 | |
| 9 | 2017 | 20 | |
| 10 | 2016 | 14 | |
| 11 | 2014 | 29 | |
| 12 | 2012 | 29 | |
| 13 | 2011 | 71 | |
| 14 | 2008 | 17 | |
| 15 | 2003 | 144 | |
| 16 | 1997 | 12 | |
| 17 | Expression of three UDP-N-acetyl-alpha-D-galactosamine:polypeptide GalNAc N-acetylgalactosaminyltransferases in adenocarcinoma cell lines. | 1997 | 57 |
| 18 | 1994 | 123 | |
| 19 | 1991 | 11 | |
| 20 | 1991 | 44 |
About Thomas C. Caffrey
Thomas C. Caffrey is a scholar working on Biotechnology, Oncology, Cancer Research, Immunology and Molecular Biology, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (18 papers), Pancreatic and Hepatic Oncology Research (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Carbohydrate Chemistry and Synthesis (3 papers), Cancer Research and Treatments (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Immunotherapy and Immune Responses (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Oncology (507 citations), Immunology (375 citations), Cancer Research (263 citations), Molecular Biology (1000 citations) and Cell Biology (160 citations). Thomas C. Caffrey has collaborated with scholars based in United States, Portugal and Japan. Frequent co-authors include Michael A. Hollingsworth, Keith R. Johnson, David R. Mack, Pankaj K. Singh, Prakash Radhakrishnan, Margaret J. Wheelock, Shinichi Kitajima, David J. Thomas, Benjamin Swanson and Michelle E. Lewallen. Their work appears in journals such as Clinical Cancer Research, Molecular Cancer Therapeutics, Toxicology, Cancer Immunology Immunotherapy and Cancers.
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.