Raphaël Genolet
- Immunology top 5%
- T-cell and B-cell Immunology 13
- Immune Cell Function and Interaction 10
- Immunotherapy and Immune Responses 9
- Oncology top 10%
- CAR-T cell therapy research 6
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- vaccines and immunoinformatics approaches 4
- Single-cell and spatial transcriptomics 3
- RNA and protein synthesis mechanisms 3
- RNA Research and Splicing 3
- Physiology top 10%
- Co-authors
- George CoukosLiliane MichalikWalter WahliAlexandre HarariVincent ZoeteMarta A. S. PerezImmanuel F. LuescherCamilla Jandus
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Proceedings of the National Academy of Sciences (3 papers)The EMBO Journal (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- SwitzerlandUnited StatesAustria
In The Last Decade
Raphaël Genolet
25 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Immunology 605
- Oncology 352
- Cancer Research 117
- Molecular Biology 456
- Physiology 30
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 65 | |
| 6 | 2023 | 43 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 21 | |
| 9 | 2023 | 59 | |
| 10 | Disturbed mitochondrial dynamics in CD8+ TILs reinforce T cell exhaustionbreakdown → | 2020 | 370 |
| 11 | 2020 | 105 | |
| 12 | 2018 | 2 | |
| 13 | 2017 | 34 | |
| 14 | 2012 | 12 | |
| 15 | 2012 | 31 | |
| 16 | 2010 | 11 | |
| 17 | 2009 | 2 | |
| 18 | 2008 | 15 | |
| 19 | 2007 | 18 | |
| 20 | 2004 | 101 |
About Raphaël Genolet
Raphaël Genolet is a scholar working on Immunology, Oncology, Biophysics, Molecular Biology and Clinical Biochemistry, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (10 papers), Immunotherapy and Immune Responses (9 papers), CAR-T cell therapy research (6 papers), vaccines and immunoinformatics approaches (4 papers), Single-cell and spatial transcriptomics (3 papers), RNA and protein synthesis mechanisms (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Immunology (605 citations), Oncology (352 citations), Cancer Research (117 citations), Molecular Biology (456 citations) and Physiology (30 citations). Raphaël Genolet has collaborated with scholars based in Switzerland, United States and Austria. Frequent co-authors include George Coukos, Liliane Michalik, Walter Wahli, Alexandre Harari, Vincent Zoete, Marta A. S. Perez, Immanuel F. Luescher, Camilla Jandus, Ping‐Chih Ho and Wan-Chen Cheng. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal, Nucleic Acids Research, Nature Cancer and Clinical 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.