Mathilde Dusséaux
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Immune Response and Inflammation
- Virology top 5%
Papers in
- Immunology 10
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 6
- Immunotherapy and Immune Responses 3
- IL-33, ST2, and ILC Pathways 3
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- Hepatitis B Virus Studies 2
- Co-authors
- Olivier Lantz (5 shared papers)Emmanuel Martin (4 shared papers)Claire Soudais (4 shared papers)Lionel Le Bourhis (4 shared papers)Virginie Prémel (4 shared papers)Isabelle Péguillet (2 shared papers)Emmanuel Treiner (2 shared papers)Maud Milder (1 shared paper)
- Journals
- Nature Methods (1 paper)Trends in Immunology (1 paper)Blood Advances (1 paper)PLoS ONE (1 paper)Blood (1 paper)
- Partner nations
- FranceUnited StatesNetherlands
In The Last Decade
Mathilde Dusséaux
15 papers receiving 2.3k citations
Mathilde Dusséaux's Hit Papers
Peers
Comparison fields: 5 of 69
- Immunology 1.8k
- Virology 82
- Hepatology 120
- Epidemiology 476
- Endocrinology 68
Countries citing papers authored by Mathilde Dusséaux
This map shows the geographic impact of Mathilde Dusséaux'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 Mathilde Dusséaux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilde Dusséaux more than expected).
Fields of papers citing papers by Mathilde Dusséaux
This network shows the impact of papers produced by Mathilde Dusséaux. 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 Mathilde Dusséaux. The network helps show where Mathilde Dusséaux may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathilde Dusséaux, 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 | Human MAIT cells are xenobiotic-resistant, tissue-targeted, CD161hi IL-17–secreting T cells Hit paper breakdown → | 2010 | 759 |
| 2 | Antimicrobial activity of mucosal-associated invariant T cells Hit paper breakdown → | 2010 | 696 |
| 3 | 2013 | 287 | |
| 4 | 2011 | 161 | |
| 5 | 2018 | 79 | |
| 6 | 2022 | 61 | |
| 7 | 2015 | 61 | |
| 8 | 2017 | 58 | |
| 9 | 2017 | 38 | |
| 10 | 2019 | 25 | |
| 11 | 2009 | 24 | |
| 12 | 2010 | 20 | |
| 13 | 2024 | 15 | |
| 14 | 2010 | 13 | |
| 15 | 2014 | 3 |
About Mathilde Dusséaux
Mathilde Dusséaux is a scholar working on Immunology, Epidemiology, Molecular Biology, Oncology and Hematology, having authored 15 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Hepatitis B Virus Studies (2 papers), CAR-T cell therapy research (2 papers), Platelet Disorders and Treatments (2 papers) and Blood disorders and treatments (1 paper). The work is most often cited by research in Immunology (1.8k citations), Virology (82 citations), Hepatology (120 citations), Epidemiology (476 citations) and Endocrinology (68 citations). Mathilde Dusséaux has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Olivier Lantz, Emmanuel Martin, Claire Soudais, Lionel Le Bourhis, Virginie Prémel, Isabelle Péguillet, Emmanuel Treiner, Maud Milder, Delphine Louis and Delphine Robert. Their work appears in journals such as Nature Methods, Trends in Immunology, Blood Advances, PLoS ONE and Blood.
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.