Darrell J. Irvine
Impact in
- Immunology top 0.05%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Biomaterials top 0.1%
- Nanoparticle-Based Drug Delivery
Papers in
- Immunology 181
- Immunotherapy and Immune Responses 139
- Immune Cell Function and Interaction 63
- T-cell and B-cell Immunology 52
- Virology 30
- HIV Research and Treatment 30
- Co-authors
- Eric L. DaneMark M. DavisJames J. MoonPaula T. HammondMatthias T. StephanMarco A. PurbhooYiran ZhengJin‐Wook Yoo
- Journals
- ACS Nano (12 papers)The Journal of Immunology (11 papers)Proceedings of the National Academy of Sciences (11 papers)Biomaterials (9 papers)Biomacromolecules (9 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Darrell J. Irvine
270 papers receiving 25.4k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Immunology 10.9k
- Biomaterials 3.9k
- Pharmaceutical Science 1.6k
- Virology 966
- Oncology 4.8k
Countries citing papers authored by Darrell J. Irvine
This map shows the geographic impact of Darrell J. Irvine'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 Darrell J. Irvine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darrell J. Irvine more than expected).
Fields of papers citing papers by Darrell J. Irvine
This network shows the impact of papers produced by Darrell J. Irvine. 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 Darrell J. Irvine. The network helps show where Darrell J. Irvine may publish in the future.
Co-authors
The 25 scholars most cited alongside Darrell J. Irvine, 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 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 36 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 47 | |
| 7 | 2022 | 34 | |
| 8 | The future of engineered immune cell therapies Hit paper breakdown → | 2022 | 124 |
| 9 | 2021 | 28 | |
| 10 | 2020 | 70 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 64 | |
| 13 | 2018 | 79 | |
| 14 | 2018 | 14 | |
| 15 | 2018 | 129 | |
| 16 | 2017 | 10 | |
| 17 | 2013 | 168 | |
| 18 | 2013 | 154 | |
| 19 | 2012 | 2 | |
| 20 | 2006 | 153 |
About Darrell J. Irvine
Darrell J. Irvine is a scholar working on Immunology, Virology, Pharmaceutical Science, Oncology and Surfaces, Coatings and Films, having authored 280 papers that have together received 25.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (139 papers), RNA Interference and Gene Delivery (63 papers), Immune Cell Function and Interaction (63 papers), T-cell and B-cell Immunology (52 papers), CAR-T cell therapy research (40 papers), Monoclonal and Polyclonal Antibodies Research (33 papers), HIV Research and Treatment (30 papers) and Cancer Immunotherapy and Biomarkers (19 papers). The work is most often cited by research in Immunology (10.9k citations), Biomaterials (3.9k citations), Pharmaceutical Science (1.6k citations), Virology (966 citations) and Oncology (4.8k citations). Darrell J. Irvine has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Eric L. Dane, Mark M. Davis, James J. Moon, Paula T. Hammond, Matthias T. Stephan, Marco A. Purbhoo, Yiran Zheng, Jin‐Wook Yoo, Samir Mitragotri and Dennis E. Discher. Their work appears in journals such as ACS Nano, The Journal of Immunology, Proceedings of the National Academy of Sciences, Biomaterials and Biomacromolecules.
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.