Virginie Prémel

3.6k total citations · 2 hit papers
13 papers, 2.6k citations indexed

About

Virginie Prémel is a scholar working on Immunology, Epidemiology and Surgery. According to data from OpenAlex, Virginie Prémel has authored 13 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 2 papers in Epidemiology and 1 paper in Surgery. Recurrent topics in Virginie Prémel's work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (9 papers) and Immunotherapy and Immune Responses (8 papers). Virginie Prémel is often cited by papers focused on Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (9 papers) and Immunotherapy and Immune Responses (8 papers). Virginie Prémel collaborates with scholars based in France, Tunisia and Belgium. Virginie Prémel's co-authors include Olivier Lantz, Claire Soudais, Emmanuel Martin, Lionel Le Bourhis, Mathilde Dusséaux, Emmanuel Treiner, Isabelle Péguillet, Livine Duban, Delphine Louis and Maud Milder and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Virginie Prémel

13 papers receiving 2.6k citations

Hit Papers

Human MAIT cells are xenobiotic-resistant, tissue-targete... 2010 2026 2015 2020 2010 2010 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Human MAIT cells are xenobiotic-resistant, tissue-targeted, CD161hi IL-17–secreting T cells
    2010 741 citations Mathilde Dusséaux, Emmanuel Martin et al. Blood profile →
  2. Antimicrobial activity of mucosal-associated invariant T cells
    2010 682 citations Lionel Le Bourhis, Emmanuel Martin et al. Nature Immunology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Virginie Prémel France 12 2.4k 571 304 208 178 13 2.6k
Mathilde Dusséaux France 13 1.9k 0.8× 530 0.9× 280 0.9× 213 1.0× 189 1.1× 15 2.3k
Isabelle Péguillet France 9 1.4k 0.6× 370 0.6× 244 0.8× 186 0.9× 133 0.7× 12 1.7k
Ayako Kurioka United Kingdom 16 1.5k 0.6× 447 0.8× 190 0.6× 140 0.7× 106 0.6× 20 1.7k
Emmanuel Treiner France 14 3.8k 1.6× 737 1.3× 575 1.9× 275 1.3× 209 1.2× 33 4.1k
Nicholas A. Gherardin Australia 16 1.9k 0.8× 358 0.6× 393 1.3× 250 1.2× 336 1.9× 29 2.3k
Christian B. Willberg United Kingdom 26 2.3k 1.0× 752 1.3× 298 1.0× 241 1.2× 328 1.8× 48 3.0k
Livine Duban France 9 2.5k 1.0× 495 0.9× 268 0.9× 844 4.1× 223 1.3× 9 3.1k
Deborah A. Lewinsohn United States 18 1.7k 0.7× 662 1.2× 342 1.1× 279 1.3× 456 2.6× 33 2.1k
Weitao Huang United States 13 2.0k 0.9× 492 0.9× 318 1.0× 286 1.4× 404 2.3× 16 2.7k
SangKon Oh United States 18 1.9k 0.8× 393 0.7× 337 1.1× 247 1.2× 210 1.2× 26 2.4k

Countries citing papers authored by Virginie Prémel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Virginie Prémel

This figure shows the co-authorship network connecting the top 25 collaborators of Virginie Prémel. A scholar is included among the top collaborators of Virginie Prémel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Virginie Prémel. Virginie Prémel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Darbois, Aurélie, Virginie Prémel, Ludovic Colombeau, et al.. (2023). Role of MR1-driven signals and amphiregulin on the recruitment and repair function of MAIT cells during skin wound healing. Immunity. 56(1). 78–92.e6. 56 indexed citations
2.
Alonso, Ruby, Héloïse Flament, Sébastien Lemoine, et al.. (2018). Induction of anergic or regulatory tumor-specific CD4+ T cells in the tumor-draining lymph node. Nature Communications. 9(1). 2113–2113. 70 indexed citations
3.
Salou, Marion, François Legoux, Jules Gilet, et al.. (2018). A common transcriptomic program acquired in the thymus defines tissue residency of MAIT and NKT subsets. The Journal of Experimental Medicine. 216(1). 133–151. 135 indexed citations
4.
Cui, Yue, Katarzyna Franciszkiewicz, Yvonne K. Mburu, et al.. (2015). Mucosal-associated invariant T cell–rich congenic mouse strain allows functional evaluation. Journal of Clinical Investigation. 125(11). 4171–4185. 131 indexed citations
5.
Flament, Héloïse, Ruby Alonso, Virginie Prémel, et al.. (2015). Modeling the Specific CD4+ T Cell Response against a Tumor Neoantigen. The Journal of Immunology. 194(7). 3501–3512. 7 indexed citations
6.
Bourhis, Lionel Le, Mathilde Dusséaux, Armelle Bohineust, et al.. (2013). MAIT Cells Detect and Efficiently Lyse Bacterially-Infected Epithelial Cells. PLoS Pathogens. 9(10). e1003681–e1003681. 282 indexed citations
7.
Guerri, Lucía, et al.. (2013). Analysis of APC Types Involved in CD4 Tolerance and Regulatory T Cell Generation Using Reaggregated Thymic Organ Cultures. The Journal of Immunology. 190(5). 2102–2110. 34 indexed citations
8.
Kitamura, Hiroshi, Christine Sedlik, Alexandra Jacquet, et al.. (2010). Long Peptide Vaccination Can Lead to Lethality through CD4+ T Cell-Mediated Cytokine Storm. The Journal of Immunology. 185(2). 892–901. 20 indexed citations
9.
Bourhis, Lionel Le, Emmanuel Martin, Isabelle Péguillet, et al.. (2010). Antimicrobial activity of mucosal-associated invariant T cells. Nature Immunology. 11(8). 701–708. 682 indexed citations breakdown →
10.
Dusséaux, Mathilde, Emmanuel Martin, Isabelle Péguillet, et al.. (2010). Human MAIT cells are xenobiotic-resistant, tissue-targeted, CD161hi IL-17–secreting T cells. Blood. 117(4). 1250–1259. 741 indexed citations breakdown →
11.
Martin, Emmanuel, Emmanuel Treiner, Livine Duban, et al.. (2009). Stepwise Development of MAIT Cells in Mouse and Human. PLoS Biology. 7(3). e1000054–e1000054. 451 indexed citations
12.
Bafounta, Marie-Lise, Christine Longvert, Virginie Prémel, et al.. (2009). Human papillomavirus 16-specific T cell responses in classic HPV-related vulvar intra-epithelial neoplasia. Determination of strongly immunogenic regions from E6 and E7 proteins. Clinical & Experimental Immunology. 159(1). 45–56. 17 indexed citations
13.
Joncker, Nathalie T., Julie Helft, Alexandra Jacquet, Virginie Prémel, & Olivier Lantz. (2006). Intratumor CD4 T-Cell Accumulation Requires Stronger Priming than for Expansion and Lymphokine Secretion. Cancer Research. 66(10). 5443–5451. 11 indexed citations

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.

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