Creg J. Workman
- Immunology top 0.05%
- Immune Cell Function and Interaction 53
- T-cell and B-cell Immunology 39
- Immunotherapy and Immune Responses 22
- Immune Response and Inflammation 4
- Oncology top 0.2%
- Cancer Immunotherapy and Biomarkers 38
- CAR-T cell therapy research 15
- Biological Psychiatry top 5%
- Transplantation top 2%
- Virology top 2%
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- Diabetes and associated disorders 5
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Dario A.A. VignaliLauren W. CollisonKate M. VignaliYao WangTullia C. BrunoE. John WherryAndrea L. Szymczak-WorkmanKelli L. Boyd
- Partner nations
- United StatesJapanChina
In The Last Decade
Creg J. Workman
77 papers receiving 14.7k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Immunology 10.8k
- Oncology 6.2k
- Biological Psychiatry 142
- Transplantation 151
- Virology 227
Countries citing papers authored by Creg J. Workman
This map shows the geographic impact of Creg J. Workman'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 Creg J. Workman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Creg J. Workman more than expected).
Fields of papers citing papers by Creg J. Workman
This network shows the impact of papers produced by Creg J. Workman. 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 Creg J. Workman. The network helps show where Creg J. Workman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Creg J. Workman, 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 | 2024 | 6 | |
| 2 | Blockade of LAG-3 and PD-1 leads to co-expression of cytotoxic and exhaustion gene modules in CD8+ T cells to promote antitumor immunitybreakdown → | 2024 | 75 |
| 3 | 2023 | 37 | |
| 4 | 2023 | 16 | |
| 5 | 2022 | 70 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 71 | |
| 9 | 2022 | 127 | |
| 10 | 2021 | 33 | |
| 11 | 2021 | 60 | |
| 12 | 2021 | 9 | |
| 13 | 2020 | 59 | |
| 14 | 2017 | 120 | |
| 15 | 2012 | 34 | |
| 16 | 2009 | 54 | |
| 17 | 2009 | 226 | |
| 18 | 2007 | 212 | |
| 19 | 2005 | 60 | |
| 20 | 2002 | 305 |
About Creg J. Workman
Creg J. Workman is a scholar working on Immunology, Oncology and Sensory Systems, having authored 81 papers that have together received 14.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (53 papers), T-cell and B-cell Immunology (39 papers), Cancer Immunotherapy and Biomarkers (38 papers), Immunotherapy and Immune Responses (22 papers), CAR-T cell therapy research (15 papers), Diabetes and associated disorders (5 papers), Immune Response and Inflammation (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Immunology (10.8k citations), Oncology (6.2k citations) and Biological Psychiatry (142 citations). Creg J. Workman has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Dario A.A. Vignali, Lauren W. Collison, Kate M. Vignali, Yao Wang, Tullia C. Bruno, E. John Wherry, Andrea L. Szymczak-Workman, Kelli L. Boyd, Shawn D. Blackburn and W. Nicholas Haining. Their work appears in journals such as The Journal of Immunology, Nature Immunology, Immunity, Cell and European 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.