Virginie Prémel
Impact in
- Immunology top 0.5%
- 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 13
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 9
- Immunotherapy and Immune Responses 8
- IL-33, ST2, and ILC Pathways 2
- Co-authors
- Olivier Lantz (12 shared papers)Emmanuel Martin (5 shared papers)Claire Soudais (5 shared papers)Lionel Le Bourhis (4 shared papers)Mathilde Dusséaux (4 shared papers)Emmanuel Treiner (3 shared papers)Isabelle Péguillet (3 shared papers)Livine Duban (3 shared papers)
In The Last Decade
Virginie Prémel
13 papers receiving 2.7k citations
Virginie Prémel's Hit Papers
Peers
Comparison fields: 5 of 74
- Immunology 2.4k
- Virology 79
- Endocrinology 87
- Epidemiology 508
- Oncology 282
Countries citing papers authored by Virginie Prémel
This map shows the geographic impact of Virginie Prémel'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 Virginie Prémel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginie Prémel more than expected).
Fields of papers citing papers by Virginie Prémel
This network shows the impact of papers produced by Virginie Prémel. 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 Virginie Prémel. The network helps show where Virginie Prémel may publish in the future.
Co-authors
The 25 scholars most cited alongside Virginie Prémel, 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 | 2009 | 459 | |
| 4 | 2013 | 287 | |
| 5 | 2018 | 141 | |
| 6 | 2015 | 131 | |
| 7 | 2018 | 70 | |
| 8 | 2023 | 58 | |
| 9 | 2013 | 35 | |
| 10 | 2010 | 20 | |
| 11 | 2009 | 17 | |
| 12 | 2006 | 11 | |
| 13 | 2015 | 7 |
About Virginie Prémel
Virginie Prémel is a scholar working on Immunology, Epidemiology, Surgery, Molecular Biology and Endocrine and Autonomic Systems, having authored 13 papers that have together received 2.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (8 papers), IL-33, ST2, and ILC Pathways (2 papers), Circadian rhythm and melatonin (1 paper), Genital Health and Disease (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Immunology (2.4k citations), Virology (79 citations), Endocrinology (87 citations), Epidemiology (508 citations) and Oncology (282 citations). Virginie Prémel has collaborated with scholars based in France, Tunisia and Germany. Frequent co-authors include Olivier Lantz, Emmanuel Martin, Claire Soudais, Lionel Le Bourhis, Mathilde Dusséaux, Emmanuel Treiner, Isabelle Péguillet, Livine Duban, Maud Milder and Delphine Louis. Their work appears in journals such as The Journal of Immunology, Nature Communications, Clinical & Experimental Immunology, Nature Immunology and Journal of Clinical Investigation.
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.