Raphaël Genolet
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Immunology 25
- T-cell and B-cell Immunology 16
- Immunotherapy and Immune Responses 11
- Oncology 13
- Cancer Immunotherapy and Biomarkers 12
- CAR-T cell therapy research 5
- Co-authors
- George Coukos (8 shared papers)Alexandre Harari (12 shared papers)Walter Wahli (3 shared papers)Liliane Michalik (3 shared papers)Marta A. S. Perez (2 shared papers)Vincent Zoete (2 shared papers)Johanna Chiffelle (3 shared papers)Camilla Jandus (3 shared papers)
- Journals
- Nature Communications (3 papers)Proceedings of the National Academy of Sciences (3 papers)Science Translational Medicine (2 papers)Science Advances (2 papers)Nature Biotechnology (2 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Raphaël Genolet
40 papers receiving 2.5k citations
Raphaël Genolet's Hit Papers
Peers
Comparison fields: 5 of 96
- Immunology 1.1k
- Oncology 1k
- Reproductive Medicine 146
- Molecular Biology 567
- Cancer Research 117
Countries citing papers authored by Raphaël Genolet
This map shows the geographic impact of Raphaël Genolet'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 Raphaël Genolet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Genolet more than expected).
Fields of papers citing papers by Raphaël Genolet
This network shows the impact of papers produced by Raphaël Genolet. 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 Raphaël Genolet. The network helps show where Raphaël Genolet may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël Genolet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Disturbed mitochondrial dynamics in CD8+ TILs reinforce T cell exhaustion Hit paper breakdown → | 2020 | 462 |
| 2 | 2018 | 381 | |
| 3 | 2021 | 254 | |
| 4 | 2020 | 148 | |
| 5 | 2018 | 136 | |
| 6 | 2021 | 134 | |
| 7 | 2004 | 106 | |
| 8 | 2021 | 101 | |
| 9 | 2023 | 87 | |
| 10 | 2023 | 86 | |
| 11 | 2021 | 80 | |
| 12 | 2023 | 65 | |
| 13 | 2023 | 49 | |
| 14 | 2012 | 42 | |
| 15 | 2012 | 42 | |
| 16 | 2017 | 38 | |
| 17 | 2023 | 37 | |
| 18 | 2012 | 34 | |
| 19 | 2024 | 29 | |
| 20 | 2012 | 26 |
About Raphaël Genolet
Raphaël Genolet is a scholar working on Immunology, Oncology, Molecular Biology, Biomedical Engineering and Neurology, having authored 40 papers that have together received 2.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (16 papers), Cancer Immunotherapy and Biomarkers (12 papers), Immunotherapy and Immune Responses (11 papers), CAR-T cell therapy research (5 papers), RNA and protein synthesis mechanisms (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), vaccines and immunoinformatics approaches (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Immunology (1.1k citations), Oncology (1k citations), Reproductive Medicine (146 citations), Molecular Biology (567 citations) and Cancer Research (117 citations). Raphaël Genolet has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include George Coukos, Alexandre Harari, Walter Wahli, Liliane Michalik, Marta A. S. Perez, Vincent Zoete, Johanna Chiffelle, Camilla Jandus, Tung Hui Chao and Min Gao. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Science Translational Medicine, Science Advances and Nature Biotechnology.
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.