Gavin P. Dunn
Impact in
- Immunology top 0.1%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- interferon and immune responses
- Oncology top 0.1%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Co-authors
- Robert D. SchreiberLloyd J. OldAllen T. BruceHiroaki IkedaCatherine KoebelMark J. SmythRavindra UppaluriJ. Michael White
- Journals
- Neuro-Oncology (10 papers)Journal of Clinical Oncology (9 papers)Neurosurgical FOCUS (7 papers)Clinical Cancer Research (6 papers)Neuro-Oncology Advances (5 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Gavin P. Dunn
127 papers receiving 16.1k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Immunology 8.9k
- Oncology 8.4k
- Genetics 2.0k
- Cancer Research 1.9k
- Modeling and Simulation 294
Countries citing papers authored by Gavin P. Dunn
This map shows the geographic impact of Gavin P. Dunn'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 Gavin P. Dunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin P. Dunn more than expected).
Fields of papers citing papers by Gavin P. Dunn
This network shows the impact of papers produced by Gavin P. Dunn. 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 Gavin P. Dunn. The network helps show where Gavin P. Dunn may publish in the future.
Co-authors
The 25 scholars most cited alongside Gavin P. Dunn, 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 | 11 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 24 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 104 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 38 | |
| 10 | 2020 | 150 | |
| 11 | 2018 | 50 | |
| 12 | 2016 | 209 | |
| 13 | 2016 | 80 | |
| 14 | 2015 | 82 | |
| 15 | 2014 | 83 | |
| 16 | 2014 | 29 | |
| 17 | 2014 | 1 | |
| 18 | 2011 | 172 | |
| 19 | Type I interferon is selectively required by dendritic cells for immune rejection of tumors Hit paper breakdown → | 2011 | 864 |
| 20 | 2006 | 206 |
About Gavin P. Dunn
Gavin P. Dunn is a scholar working on Genetics, Oncology, Immunology, Cancer Research and Neurology, having authored 136 papers that have together received 16.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (50 papers), Cancer Immunotherapy and Biomarkers (41 papers), Immunotherapy and Immune Responses (32 papers), Cancer Genomics and Diagnostics (15 papers), CAR-T cell therapy research (12 papers), Brain Metastases and Treatment (11 papers), Immune Cell Function and Interaction (11 papers) and Meningioma and schwannoma management (11 papers). The work is most often cited by research in Immunology (8.9k citations), Oncology (8.4k citations), Genetics (2.0k citations), Cancer Research (1.9k citations) and Modeling and Simulation (294 citations). Gavin P. Dunn has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Robert D. Schreiber, Lloyd J. Old, Allen T. Bruce, Hiroaki Ikeda, Catherine Koebel, Mark J. Smyth, Ravindra Uppaluri, J. Michael White, Mark S. Diamond and Cora D. Arthur. Their work appears in journals such as Neuro-Oncology, Journal of Clinical Oncology, Neurosurgical FOCUS, Clinical Cancer Research and Neuro-Oncology Advances.
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.