Mathieu Bonmort
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Phagocytosis and Immune Regulation
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
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- Immune Cell Function and Interaction 9
- Immunotherapy and Immune Responses 7
- T-cell and B-cell Immunology 7
- Immune Response and Inflammation 1
- Phagocytosis and Immune Regulation 1
- Immune cells in cancer 1
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- Angiogenesis and VEGF in Cancer 1
- Co-authors
- Grégoire Mignot (10 shared papers)Laurence Zitvogel (10 shared papers)Evelyn Ullrich (10 shared papers)Nathalie Chaput (9 shared papers)Guido Kroemer (3 shared papers)Cédric Menard (3 shared papers)Magali Terme (3 shared papers)Bénédikt Jacobs (2 shared papers)
- Journals
- The Journal of Immunology (2 papers)Cancer Research (2 papers)Clinical Immunology (1 paper)Current Opinion in Immunology (1 paper)Cytokine & Growth Factor Reviews (1 paper)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Mathieu Bonmort
10 papers receiving 277 citations
Peers
Comparison fields: 5 of 42
- Immunology 226
- Oncology 68
- Hematology 16
- Biological Psychiatry 2
- Biotechnology 7
Countries citing papers authored by Mathieu Bonmort
This map shows the geographic impact of Mathieu Bonmort'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 Mathieu Bonmort with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Bonmort more than expected).
Fields of papers citing papers by Mathieu Bonmort
This network shows the impact of papers produced by Mathieu Bonmort. 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 Mathieu Bonmort. The network helps show where Mathieu Bonmort may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Bonmort, 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 | 2007 | 69 | |
| 2 | 2008 | 39 | |
| 3 | 2008 | 39 | |
| 4 | 2008 | 35 | |
| 5 | 2008 | 33 | |
| 6 | 2007 | 28 | |
| 7 | 2009 | 23 | |
| 8 | 2007 | 19 | |
| 9 | 2008 | 4 | |
| 10 | 2008 | 1 |
About Mathieu Bonmort
Mathieu Bonmort is a scholar working on Immunology, Molecular Biology, Pathology and Forensic Medicine, Biomedical Engineering and Infectious Diseases, having authored 10 papers that have together received 290 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (7 papers), Angiogenesis and VEGF in Cancer (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Immune Response and Inflammation (1 paper), Phagocytosis and Immune Regulation (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Immunology (226 citations), Oncology (68 citations), Hematology (16 citations), Biological Psychiatry (2 citations) and Biotechnology (7 citations). Mathieu Bonmort has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Grégoire Mignot, Laurence Zitvogel, Evelyn Ullrich, Nathalie Chaput, Guido Kroemer, Cédric Menard, Magali Terme, Bénédikt Jacobs, Marc Dalod and Julien Taı̈eb. Their work appears in journals such as The Journal of Immunology, Cancer Research, Clinical Immunology, Current Opinion in Immunology and Cytokine & Growth Factor Reviews.
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.