Jason Plotkin
Impact in
- Oncology top 2%
- CAR-T cell therapy research
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Oncology 7
- CAR-T cell therapy research 6
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- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 1
- Co-authors
- Michel Sadelain (6 shared papers)Isabelle Rivière (2 shared papers)Maud Condomines (3 shared papers)Gertrude Gunset (3 shared papers)Maiko Matsushita (1 shared paper)Sjoukje J. C. van der Stegen (2 shared papers)Christopher C. Kloss (1 shared paper)Fabiana Perna (2 shared papers)
- Journals
- The Journal of Immunology (2 papers)Molecular Therapy (2 papers)Cancer Cell (1 paper)Science Translational Medicine (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Jason Plotkin
8 papers receiving 2.2k citations
Jason Plotkin's Hit Papers
Peers
Comparison fields: 5 of 73
- Oncology 1.8k
- Immunology 794
- Genetics 491
- Biomedical Engineering 569
- Molecular Biology 611
Countries citing papers authored by Jason Plotkin
This map shows the geographic impact of Jason Plotkin'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 Jason Plotkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Plotkin more than expected).
Fields of papers citing papers by Jason Plotkin
This network shows the impact of papers produced by Jason Plotkin. 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 Jason Plotkin. The network helps show where Jason Plotkin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason Plotkin, 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 | Structural Design of Engineered Costimulation Determines Tumor Rejection Kinetics and Persistence of CAR T Cells Hit paper breakdown → | 2015 | 720 |
| 2 | Regional delivery of mesothelin-targeted CAR T cell therapy generates potent and long-lasting CD4-dependent tumor immunity Hit paper breakdown → | 2014 | 494 |
| 3 | 2009 | 476 | |
| 4 | 2003 | 193 | |
| 5 | 2005 | 188 | |
| 6 | 2016 | 82 | |
| 7 | 2015 | 59 | |
| 8 | 2004 | 48 | |
| 9 | 2015 | 0 |
About Jason Plotkin
Jason Plotkin is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Epidemiology, having authored 9 papers that have together received 2.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (1 paper), Ubiquitin and proteasome pathways (1 paper), Silicon Carbide Semiconductor Technologies (1 paper), Autophagy in Disease and Therapy (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Oncology (1.8k citations), Immunology (794 citations), Genetics (491 citations), Biomedical Engineering (569 citations) and Molecular Biology (611 citations). Jason Plotkin has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Michel Sadelain, Isabelle Rivière, Maud Condomines, Gertrude Gunset, Maiko Matsushita, Sjoukje J. C. van der Stegen, Christopher C. Kloss, Fabiana Perna, Zeguo Zhao and Prasad S. Adusumilli. Their work appears in journals such as The Journal of Immunology, Molecular Therapy, Cancer Cell, Science Translational Medicine and Cancer Research.
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.