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
-
- Immunotherapy and Immune Responses 5
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 3
- Reproductive System and Pregnancy 1
- Immune Response and Inflammation 1
- Immune cells in cancer 1
- Phagocytosis and Immune Regulation 1
- Oncology 2
- Cancer Immunotherapy and Biomarkers 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)Chang Moon (1 shared paper)Daniel J. Puleston (1 shared paper)Julie Mussard (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)Nature Communications (1 paper)Nature reviews. Immunology (1 paper)Clinical & Translational Immunology (1 paper)Genome biology (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Raphaël Mattiuz
8 papers receiving 322 citations
Raphaël Mattiuz's Hit Papers
Peers
Comparison fields: 5 of 46
- Immunology 226
- Oncology 105
- Molecular Biology 90
- Biological Psychiatry 3
- Gastroenterology 4
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 | 144 | |
| 2 | Dendritic cell maturation in cancer Hit paper breakdown → | 2025 | 53 |
| 3 | 2021 | 42 | |
| 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, Infectious Diseases, Organic Chemistry and Surgery, having authored 8 papers that have together received 325 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Cancer Immunotherapy and Biomarkers (1 paper), Reproductive System and Pregnancy (1 paper), Immune Response and Inflammation (1 paper), Immune cells in cancer (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Immunology (226 citations), Oncology (105 citations), Molecular Biology (90 citations), Biological Psychiatry (3 citations) and Gastroenterology (4 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, Chang Moon, Daniel J. Puleston, Julie Mussard, Gilles Bessou and Amélien Sanlaville. Their work appears in journals such as Frontiers in Immunology, Nature Communications, Nature reviews. Immunology, Clinical & Translational Immunology and Genome biology.
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.