Anton Dobrin
Impact in
- Oncology top 2%
- CAR-T cell therapy research
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Oncology 11
- CAR-T cell therapy research 11
-
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 1
- Co-authors
- Michel Sadelain (9 shared papers)Zeguo Zhao (5 shared papers)Mohamad Hamieh (4 shared papers)Justin Eyquem (3 shared papers)Annalisa Cabriolu (3 shared papers)Judith Feucht (3 shared papers)Jie Sun (2 shared papers)Josef Leibold (2 shared papers)
- Journals
- Nature (3 papers)Molecular Therapy (1 paper)Nature Medicine (1 paper)The Journal of Immunology (1 paper)Blood (1 paper)
- Partner nations
- United StatesChinaSlovakia
In The Last Decade
Anton Dobrin
13 papers receiving 1.1k citations
Anton Dobrin's Hit Papers
Peers
Comparison fields: 5 of 52
- Oncology 948
- Immunology 380
- Genetics 224
- Biomedical Engineering 327
- Molecular Biology 350
Countries citing papers authored by Anton Dobrin
This map shows the geographic impact of Anton Dobrin'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 Anton Dobrin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton Dobrin more than expected).
Fields of papers citing papers by Anton Dobrin
This network shows the impact of papers produced by Anton Dobrin. 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 Anton Dobrin. The network helps show where Anton Dobrin may publish in the future.
Co-authors
The 25 scholars most cited alongside Anton Dobrin, 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 | CAR T cell trogocytosis and cooperative killing regulate tumour antigen escape Hit paper breakdown → | 2019 | 485 |
| 2 | Calibration of CAR activation potential directs alternative T cell fates and therapeutic potency Hit paper breakdown → | 2018 | 390 |
| 3 | 2023 | 98 | |
| 4 | 2023 | 55 | |
| 5 | 2024 | 42 | |
| 6 | 2017 | 36 | |
| 7 | 2015 | 19 | |
| 8 | 2024 | 12 | |
| 9 | 2025 | 12 | |
| 10 | 2018 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2006 | 1 | |
| 14 | 2025 | 0 |
About Anton Dobrin
Anton Dobrin is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Electrical and Electronic Engineering, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (4 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Silicon Carbide Semiconductor Technologies (2 papers), CRISPR and Genetic Engineering (2 papers), Virus-based gene therapy research (2 papers) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Oncology (948 citations), Immunology (380 citations), Genetics (224 citations), Biomedical Engineering (327 citations) and Molecular Biology (350 citations). Anton Dobrin has collaborated with scholars based in United States, China and Slovakia. Frequent co-authors include Michel Sadelain, Zeguo Zhao, Mohamad Hamieh, Justin Eyquem, Annalisa Cabriolu, Judith Feucht, Jie Sun, Josef Leibold, Yu-Jui Ho and Jorge Mansilla‐Soto. Their work appears in journals such as Nature, Molecular Therapy, Nature Medicine, The Journal of Immunology and Blood.
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.