Laurence Chaperot
Impact in
- Immunology top 0.5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- Dermatology top 0.5%
- Cutaneous lymphoproliferative disorders research
Papers in
- Immunology 75
- Immunotherapy and Immune Responses 66
- T-cell and B-cell Immunology 35
- Immune Cell Function and Interaction 34
- Immune Response and Inflammation 10
- Oncology 34
- CAR-T cell therapy research 28
- Cancer Immunotherapy and Biomarkers 8
- Co-authors
- Joël PlumasOlivier ManchesJean‐Paul MolensGabrielle LuiCaroline AspordMatthew W. KlinkerMichael F. DennyJeffrey B. Hodgin
- Journals
- Leukemia (7 papers)Frontiers in Immunology (6 papers)The Journal of Immunology (5 papers)Blood (5 papers)Clinical & Translational Immunology (4 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Laurence Chaperot
90 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Immunology 3.3k
- Dermatology 547
- Virology 236
- Genetics 463
- Oncology 1.1k
Countries citing papers authored by Laurence Chaperot
This map shows the geographic impact of Laurence Chaperot'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 Laurence Chaperot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurence Chaperot more than expected).
Fields of papers citing papers by Laurence Chaperot
This network shows the impact of papers produced by Laurence Chaperot. 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 Laurence Chaperot. The network helps show where Laurence Chaperot may publish in the future.
Co-authors
The 25 scholars most cited alongside Laurence Chaperot, 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 | 2024 | 2 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 15 | |
| 5 | 2022 | 9 | |
| 6 | 2019 | 17 | |
| 7 | 2017 | 1 | |
| 8 | 2016 | 43 | |
| 9 | 2016 | 21 | |
| 10 | 2011 | 18 | |
| 11 | 2011 | 1 | |
| 12 | 2010 | 29 | |
| 13 | 2010 | 0 | |
| 14 | 2010 | 25 | |
| 15 | 2008 | 6 | |
| 16 | 2006 | 206 | |
| 17 | 2004 | 8 | |
| 18 | 2003 | 17 | |
| 19 | 2003 | 26 | |
| 20 | 2000 | 6 |
About Laurence Chaperot
Laurence Chaperot is a scholar working on Immunology, Oncology, Dermatology, Biological Psychiatry and Behavioral Neuroscience, having authored 92 papers that have together received 4.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (66 papers), T-cell and B-cell Immunology (35 papers), Immune Cell Function and Interaction (34 papers), CAR-T cell therapy research (28 papers), Immune Response and Inflammation (10 papers), Cancer Immunotherapy and Biomarkers (8 papers), vaccines and immunoinformatics approaches (7 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Immunology (3.3k citations), Dermatology (547 citations), Virology (236 citations), Genetics (463 citations) and Oncology (1.1k citations). Laurence Chaperot has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Joël Plumas, Olivier Manches, Jean‐Paul Molens, Gabrielle Lui, Caroline Aspord, Matthew W. Klinker, Michael F. Denny, Jeffrey B. Hodgin, David J. Shealy and Srilakshmi Yalavarthi. Their work appears in journals such as Leukemia, Frontiers in Immunology, The Journal of Immunology, Blood and Clinical & Translational Immunology.
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.