Tyler R. Simpson
- Immunology top 1%
- Oncology top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- James P. AllisonSergio A. QuezadaKarl S. PeggsHideo Yagita∥Welby Montalvo-OrtizJeffrey V. RavetchJake Y. HenryFubin Li
- Topics
- Immune Cell Function and Interaction (8 papers)Cancer Immunotherapy and Biomarkers (7 papers)T-cell and B-cell Immunology (6 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Tyler R. Simpson
14 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Immunology 2.0k
- Oncology 1.6k
- Molecular Biology 347
- Radiology, Nuclear Medicine and Imaging 169
- Pulmonary and Respiratory Medicine 123
Countries citing papers authored by Tyler R. Simpson
This map shows the geographic impact of Tyler R. Simpson'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 Tyler R. Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler R. Simpson more than expected).
Fields of papers citing papers by Tyler R. Simpson
This network shows the impact of papers produced by Tyler R. Simpson. 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 Tyler R. Simpson. The network helps show where Tyler R. Simpson may publish in the future.
Co-authorship network of co-authors of Tyler R. Simpson
This figure shows the co-authorship network connecting the top 25 collaborators of Tyler R. Simpson. A scholar is included among the top collaborators of Tyler R. Simpson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tyler R. Simpson. Tyler R. Simpson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 23 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 63 | |
| 9 | Cytotoxic T Lymphocyte Antigen-4 Blockade Enhances Antitumor Immunity by Stimulating Melanoma-Specific | 1 |
| 10 | Fc-dependent depletion of tumor-infiltrating regulatory T cells co-defines the efficacy of anti–CTLA-4 therapy against melanomabreakdown → | 1093 |
| 11 | 202 | |
| 12 | Tumor-reactive CD4+ T cells develop cytotoxic activity and eradicate large established melanoma after transfer into lymphopenic hostsbreakdown → | 635 |
| 13 | 174 | |
| 14 | 174 | |
| 15 | 109 |
About Tyler R. Simpson
Tyler R. Simpson is a scholar working on Immunology, Oncology and Fluid Flow and Transfer Processes, having authored 15 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Cancer Immunotherapy and Biomarkers (7 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Immunology (2.0k citations), Oncology (1.6k citations) and Biological Psychiatry (27 citations). Tyler R. Simpson has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include James P. Allison, Sergio A. Quezada, Karl S. Peggs, Hideo Yagita∥, Welby Montalvo-Ortiz, Jeffrey V. Ravetch, Jake Y. Henry, Fubin Li, Katharina Bergerhoff and Claire Roddie. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and Immunity.
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.