Mathieu Bonmort
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Immune cells in cancer
- Phagocytosis and Immune Regulation
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Immunology 10
- Immune Cell Function and Interaction 10
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 8
- Immune Response and Inflammation 1
- Immune cells in cancer 1
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- Lymphoma Diagnosis and Treatment 1
- Co-authors
- Evelyn Ullrich (10 shared papers)laurence ZITVOGEL (10 shared papers)Grégoire Mignot (10 shared papers)Nathalie Chaput (9 shared papers)Guido Kroemer (3 shared papers)Cédric Menard (3 shared papers)Silvano Sozzani (2 shared papers)Magali Terme (3 shared papers)
- Journals
- The Journal of Immunology (2 papers)Cancer Research (2 papers)Cytokine & Growth Factor Reviews (1 paper)Biochimie (1 paper)Nature Medicine (1 paper)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Mathieu Bonmort
11 papers receiving 620 citations
Peers
Comparison fields: 5 of 56
- Immunology 526
- Oncology 150
- Hematology 41
- Biotechnology 16
- Biological Psychiatry 4
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 | 2006 | 336 | |
| 2 | 2007 | 71 | |
| 3 | 2008 | 41 | |
| 4 | 2008 | 40 | |
| 5 | 2008 | 40 | |
| 6 | 2008 | 34 | |
| 7 | 2007 | 27 | |
| 8 | 2009 | 25 | |
| 9 | 2007 | 19 | |
| 10 | 2008 | 3 | |
| 11 | 2008 | 1 |
About Mathieu Bonmort
Mathieu Bonmort is a scholar working on Immunology, Pathology and Forensic Medicine, Biomedical Engineering, Molecular Biology and Insect Science, having authored 11 papers that have together received 637 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (8 papers), Angiogenesis and VEGF in Cancer (1 paper), Nanoplatforms for cancer theranostics (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Immune Response and Inflammation (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Immunology (526 citations), Oncology (150 citations), Hematology (41 citations), Biotechnology (16 citations) and Biological Psychiatry (4 citations). Mathieu Bonmort has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Evelyn Ullrich, laurence ZITVOGEL, Grégoire Mignot, Nathalie Chaput, Guido Kroemer, Cédric Menard, Silvano Sozzani, Magali Terme, Daniela Bosisio and Silvia Bulfone Paus. Their work appears in journals such as The Journal of Immunology, Cancer Research, Cytokine & Growth Factor Reviews, Biochimie and Nature Medicine.
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.