Kévin Bourcier
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
Papers in
-
- Sarcoma Diagnosis and Treatment 4
- Metastasis and carcinoma case studies 1
- Oncology 5
- Vascular Tumors and Angiosarcomas 2
- Co-authors
- Julien Adam (1 shared paper)Thierry de Baère (1 shared paper)Olivier Mir (1 shared paper)Lambros Tsélikas (1 shared paper)Charles Honoré (2 shared papers)Axel Le Cesne (2 shared papers)Svetlana Egorova (1 shared paper)Brian C. Healy (1 shared paper)
- Journals
- Annals of Oncology (2 papers)Nature Cancer (1 paper)CardioVascular and Interventional Radiology (1 paper)Neurology (1 paper)The Oncologist (1 paper)
- Partner nations
- FranceUnited States
In The Last Decade
Kévin Bourcier
11 papers receiving 705 citations
Kévin Bourcier's Hit Papers
Peers
Comparison fields: 5 of 52
- Oncology 346
- Immunology 265
- Pulmonary and Respiratory Medicine 143
- Pathology and Forensic Medicine 56
- Cancer Research 44
Countries citing papers authored by Kévin Bourcier
This map shows the geographic impact of Kévin Bourcier'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 Kévin Bourcier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kévin Bourcier more than expected).
Fields of papers citing papers by Kévin Bourcier
This network shows the impact of papers produced by Kévin Bourcier. 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 Kévin Bourcier. The network helps show where Kévin Bourcier may publish in the future.
Co-authors
The 25 scholars most cited alongside Kévin Bourcier, 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 | Mature tertiary lymphoid structures predict immune checkpoint inhibitor efficacy in solid tumors independently of PD-L1 expression Hit paper breakdown → | 2021 | 459 |
| 2 | 2019 | 88 | |
| 3 | 2008 | 87 | |
| 4 | 2022 | 41 | |
| 5 | 2022 | 12 | |
| 6 | 2018 | 9 | |
| 7 | 2018 | 7 | |
| 8 | 2019 | 6 | |
| 9 | 2020 | 6 | |
| 10 | 2023 | 2 | |
| 11 | 2021 | 1 |
About Kévin Bourcier
Kévin Bourcier is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Geriatrics and Gerontology, Occupational Therapy and Rheumatology, having authored 11 papers that have together received 718 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (4 papers), Vascular Tumors and Angiosarcomas (2 papers), Immune Cell Function and Interaction (1 paper), Healthcare Systems and Practices (1 paper), Metastasis and carcinoma case studies (1 paper), DNA Repair Mechanisms (1 paper), Soft tissue tumor case studies (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Oncology (346 citations), Immunology (265 citations), Pulmonary and Respiratory Medicine (143 citations), Pathology and Forensic Medicine (56 citations) and Cancer Research (44 citations). Kévin Bourcier has collaborated with scholars based in France and United States. Frequent co-authors include Julien Adam, Thierry de Baère, Olivier Mir, Lambros Tsélikas, Charles Honoré, Axel Le Cesne, Svetlana Egorova, Brian C. Healy, Howard Weiner and David A. Hafler. Their work appears in journals such as Annals of Oncology, Nature Cancer, CardioVascular and Interventional Radiology, Neurology and The Oncologist.
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.