Nicolas Chuvin
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
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- vaccines and immunoinformatics approaches 3
- TGF-β signaling in diseases 2
- Ubiquitin and proteasome pathways 1
-
- Immunotherapy and Immune Responses 5
- Co-authors
- Stéphane Depil (6 shared papers)Estelle Baulu (1 shared paper)Jenny Valladeau‐Guilemond (3 shared papers)Audrey Page (1 shared paper)Laurent Bartholin (4 shared papers)Roxane M. Pommier (4 shared papers)Lindsay B. Alcaraz (2 shared papers)Ulrich Valcourt (4 shared papers)
- Journals
- Science Advances (2 papers)Scientific Reports (1 paper)European Journal of Cancer (1 paper)genesis (1 paper)American Journal of Hematology (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Nicolas Chuvin
10 papers receiving 571 citations
Nicolas Chuvin's Hit Papers
Peers
Comparison fields: 5 of 60
- Immunology 256
- Oncology 294
- Immunology and Allergy 23
- Molecular Biology 211
- Genetics 63
Countries citing papers authored by Nicolas Chuvin
This map shows the geographic impact of Nicolas Chuvin'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 Nicolas Chuvin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Chuvin more than expected).
Fields of papers citing papers by Nicolas Chuvin
This network shows the impact of papers produced by Nicolas Chuvin. 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 Nicolas Chuvin. The network helps show where Nicolas Chuvin may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Chuvin, 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 | TCR-engineered T cell therapy in solid tumors: State of the art and perspectives Hit paper breakdown → | 2023 | 253 |
| 2 | Development of NK cell-based cancer immunotherapies through receptor engineering Hit paper breakdown → | 2024 | 120 |
| 3 | 2014 | 71 | |
| 4 | 2022 | 66 | |
| 5 | 2015 | 32 | |
| 6 | 2022 | 17 | |
| 7 | 2021 | 8 | |
| 8 | 2022 | 4 | |
| 9 | 2020 | 3 | |
| 10 | 2020 | 3 |
About Nicolas Chuvin
Nicolas Chuvin is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Cancer Research, having authored 10 papers that have together received 577 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), vaccines and immunoinformatics approaches (3 papers), TGF-β signaling in diseases (2 papers), CAR-T cell therapy research (2 papers), Virus-based gene therapy research (2 papers), Ubiquitin and proteasome pathways (1 paper), Cancer Genomics and Diagnostics (1 paper) and Nanowire Synthesis and Applications (1 paper). The work is most often cited by research in Immunology (256 citations), Oncology (294 citations), Immunology and Allergy (23 citations), Molecular Biology (211 citations) and Genetics (63 citations). Nicolas Chuvin has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Stéphane Depil, Estelle Baulu, Jenny Valladeau‐Guilemond, Audrey Page, Laurent Bartholin, Roxane M. Pommier, Lindsay B. Alcaraz, Ulrich Valcourt, Stéphanie Sentis and Sylvie Martel. Their work appears in journals such as Science Advances, Scientific Reports, European Journal of Cancer, genesis and American Journal of Hematology.
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.