Anton Dobrin
Impact in
- Oncology top 5%
- 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 9
- CAR-T cell therapy research 9
-
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 4
- Co-authors
- Michel Sadelain (9 shared papers)Zeguo Zhao (5 shared papers)Mohamad Hamieh (4 shared papers)Annalisa Cabriolu (3 shared papers)Justin Eyquem (3 shared papers)Judith Feucht (3 shared papers)Jie Sun (2 shared papers)Josef Leibold (2 shared papers)
- Journals
- Nature (3 papers)Cancer Discovery (1 paper)Nature Medicine (1 paper)Atherosclerosis Supplements (1 paper)Blood (1 paper)
- Partner nations
- United StatesChinaSlovakia
In The Last Decade
Anton Dobrin
11 papers receiving 1.0k citations
Anton Dobrin's Hit Papers
Peers
Comparison fields: 5 of 51
- Oncology 885
- Immunology 393
- Genetics 234
- Biomedical Engineering 346
- Molecular Biology 360
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 | 451 |
| 2 | Calibration of CAR activation potential directs alternative T cell fates and therapeutic potency Hit paper breakdown → | 2018 | 373 |
| 3 | 2023 | 90 | |
| 4 | 2023 | 53 | |
| 5 | 2017 | 35 | |
| 6 | 2015 | 17 | |
| 7 | 2024 | 11 | |
| 8 | 2025 | 8 | |
| 9 | 2022 | 1 | |
| 10 | 2006 | 1 | |
| 11 | 2018 | 1 | |
| 12 | 2025 | 0 |
About Anton Dobrin
Anton Dobrin is a scholar working on Oncology, Immunology, Molecular Biology, Electrical and Electronic Engineering and Physiology, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (9 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (4 papers), CRISPR and Genetic Engineering (2 papers), Silicon Carbide Semiconductor Technologies (2 papers), Virus-based gene therapy research (1 paper), Protein Degradation and Inhibitors (1 paper) and Advancements in Semiconductor Devices and Circuit Design (1 paper). The work is most often cited by research in Oncology (885 citations), Immunology (393 citations), Genetics (234 citations), Biomedical Engineering (346 citations) and Molecular Biology (360 citations). Anton Dobrin has collaborated with scholars based in United States, China and Slovakia. Frequent co-authors include Michel Sadelain, Zeguo Zhao, Mohamad Hamieh, Annalisa Cabriolu, Justin Eyquem, Judith Feucht, Jie Sun, Josef Leibold, Yu-Jui Ho and Jorge Mansilla‐Soto. Their work appears in journals such as Nature, Cancer Discovery, Nature Medicine, Atherosclerosis Supplements 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.