Raphaël Mattiuz
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
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- Immunotherapy and Immune Responses 5
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 4
- Immune Response and Inflammation 1
- IL-33, ST2, and ILC Pathways 1
- Oncology 2
- CAR-T cell therapy research 1
- Co-authors
- Marc Dalod (3 shared papers)Karine Crozat (3 shared papers)Miriam Mérad (3 shared papers)Matthew D. Park (2 shared papers)Meriem Belabed (2 shared papers)Daniel J. Puleston (1 shared paper)Chang Moon (1 shared paper)Anissa Fries (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)Genome biology (1 paper)Nature reviews. Immunology (1 paper)Nature reviews. Cancer (1 paper)Clinical & Translational Immunology (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Raphaël Mattiuz
8 papers receiving 299 citations
Raphaël Mattiuz's Hit Papers
Peers
Comparison fields: 5 of 45
- Immunology 236
- Oncology 122
- Molecular Biology 92
- Biological Psychiatry 3
- Neurology 7
Countries citing papers authored by Raphaël Mattiuz
This map shows the geographic impact of Raphaël Mattiuz'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 Raphaël Mattiuz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Mattiuz more than expected).
Fields of papers citing papers by Raphaël Mattiuz
This network shows the impact of papers produced by Raphaël Mattiuz. 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 Raphaël Mattiuz. The network helps show where Raphaël Mattiuz may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël Mattiuz, 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 | 2019 | 141 | |
| 2 | 2021 | 38 | |
| 3 | Dendritic cell maturation in cancer Hit paper breakdown → | 2025 | 37 |
| 4 | 2018 | 31 | |
| 5 | 2017 | 27 | |
| 6 | 2020 | 17 | |
| 7 | 2023 | 10 | |
| 8 | 2021 | 1 |
About Raphaël Mattiuz
Raphaël Mattiuz is a scholar working on Immunology, Oncology, Molecular Biology, Pathology and Forensic Medicine and Infectious Diseases, having authored 8 papers that have together received 302 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Epigenetics and DNA Methylation (1 paper), CAR-T cell therapy research (1 paper), Immune Response and Inflammation (1 paper), IL-33, ST2, and ILC Pathways (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Immunology (236 citations), Oncology (122 citations), Molecular Biology (92 citations), Biological Psychiatry (3 citations) and Neurology (7 citations). Raphaël Mattiuz has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Marc Dalod, Karine Crozat, Miriam Mérad, Matthew D. Park, Meriem Belabed, Daniel J. Puleston, Chang Moon, Anissa Fries, Yannick O. Alexandre and Nathalie Bendriss‐Vermare. Their work appears in journals such as Frontiers in Immunology, Genome biology, Nature reviews. Immunology, Nature reviews. Cancer 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.