Stéphane Depil
- Oncology top 1%
- CAR-T cell therapy research 13
- Viral-associated cancers and disorders 6
- Immunology top 1%
- Immunotherapy and Immune Responses 12
- Immune Cell Function and Interaction 12
- Molecular Biology top 5%
- Histone Deacetylase Inhibitors Research 10
- Protein Degradation and Inhibitors 9
- vaccines and immunoinformatics approaches 6
- Cancer Research top 5%
- Hematology top 5%
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- Lymphoma Diagnosis and Treatment 7
- Co-authors
- Philippe DuchâteauLaurent PoirotStephan A. GruppG J MuftiVincent AlcazerChristophe CauxJenny Valladeau‐GuilemondPaola Bonaventura
- Cited by
- OncologyImmunologyMolecular Biology
- Journals
- Cancer Research (8 papers)European Journal of Cancer (3 papers)Annals of Oncology (3 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Stéphane Depil
67 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Oncology 2.4k
- Immunology 1.6k
- Molecular Biology 1.7k
- Cancer Research 319
- Hematology 220
Countries citing papers authored by Stéphane Depil
This map shows the geographic impact of Stéphane Depil'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 Stéphane Depil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Depil more than expected).
Fields of papers citing papers by Stéphane Depil
This network shows the impact of papers produced by Stéphane Depil. 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 Stéphane Depil. The network helps show where Stéphane Depil may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stéphane Depil, 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 | 5 | |
| 2 | 2024 | 3 | |
| 3 | TCR-engineered T cell therapy in solid tumors: State of the art and perspectivesbreakdown → | 2023 | 223 |
| 4 | 2022 | 15 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 63 | |
| 7 | 2019 | 74 | |
| 8 | 2019 | 52 | |
| 9 | 2019 | 41 | |
| 10 | 2018 | 2 | |
| 11 | 2017 | 143 | |
| 12 | 2016 | 6 | |
| 13 | 2013 | 74 | |
| 14 | 2013 | 113 | |
| 15 | 2013 | 119 | |
| 16 | 2013 | 23 | |
| 17 | 2013 | 9 | |
| 18 | 2013 | 177 | |
| 19 | 2012 | 14 | |
| 20 | 2006 | 34 |
About Stéphane Depil
Stéphane Depil is a scholar working on Immunology, Oncology, Hematology, Molecular Biology and Pathology and Forensic Medicine, having authored 70 papers that have together received 4.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), Immunotherapy and Immune Responses (12 papers), Immune Cell Function and Interaction (12 papers), Histone Deacetylase Inhibitors Research (10 papers), Protein Degradation and Inhibitors (9 papers), Lymphoma Diagnosis and Treatment (7 papers), vaccines and immunoinformatics approaches (6 papers) and Viral-associated cancers and disorders (6 papers). The work is most often cited by research in Oncology (2.4k citations), Immunology (1.6k citations), Molecular Biology (1.7k citations), Cancer Research (319 citations) and Hematology (220 citations). Stéphane Depil has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Philippe Duchâteau, Laurent Poirot, Stephan A. Grupp, G J Mufti, Vincent Alcazer, Christophe Caux, Jenny Valladeau‐Guilemond, Paola Bonaventura, Sandrine Valsesia‐Wittmann and Tala Shekarian. Their work appears in journals such as Cancer Research, European Journal of Cancer, Annals of Oncology, Molecular Cancer Therapeutics and PLoS ONE.
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.