Florence Tilloy

2.9k total citations · 1 hit paper
9 papers, 2.3k citations indexed

About

Florence Tilloy is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Florence Tilloy has authored 9 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 4 papers in Oncology and 1 paper in Epidemiology. Recurrent topics in Florence Tilloy's work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (8 papers) and CAR-T cell therapy research (3 papers). Florence Tilloy is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (8 papers) and CAR-T cell therapy research (3 papers). Florence Tilloy collaborates with scholars based in France and United States. Florence Tilloy's co-authors include Olivier Lantz, Emmanuel Treiner, Livine Duban, Seiamak Bahram, Pierre Affaticati, Mirjana Radosavljevic, Susan Gilfillan, Albert Bendelac, Corinne Garcia and Henri de la Salle and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Florence Tilloy

9 papers receiving 2.3k citations

Hit Papers

Selection of evolutionarily conserved mucosal-associated ... 2003 2026 2010 2018 2003 250 500 750
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. Selection of evolutionarily conserved mucosal-associated invariant T cells by MR1
    2003 850 citations Emmanuel Treiner, Livine Duban et al. Nature profile →

Peers

Florence Tilloy
Jens Zerrahn Germany
Greta E. Weiss United States
Marielle C. Gold United States
Todd C. Becker United States
Oliver Egeter Germany
Sophie Sierro United Kingdom
Theresa A. Banks United States
Melissa Linehan United States
Olga Azocar France
Jürgen Podlech Germany
Jens Zerrahn Germany
Florence Tilloy
Citations per year, relative to Florence Tilloy Florence Tilloy (= 1×) peers Jens Zerrahn

Countries citing papers authored by Florence Tilloy

Since Specialization
Citations

This map shows the geographic impact of Florence Tilloy'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 Florence Tilloy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florence Tilloy more than expected).

Fields of papers citing papers by Florence Tilloy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florence Tilloy. 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 Florence Tilloy. The network helps show where Florence Tilloy may publish in the future.

Co-authorship network of co-authors of Florence Tilloy

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Tilloy. A scholar is included among the top collaborators of Florence Tilloy 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 Florence Tilloy. Florence Tilloy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
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
2.
Treiner, Emmanuel, Livine Duban, Seiamak Bahram, et al.. (2003). Selection of evolutionarily conserved mucosal-associated invariant T cells by MR1. Nature. 422(6928). 164–169. 850 indexed citations breakdown →
3.
Treiner, Emmanuel, Livine Duban, Seiamak Bahram, et al.. (2003). addendum: Selection of evolutionarily conserved mucosal-associated invariant T cells by MR1. Nature. 423(6943). 1018–1018. 11 indexed citations
4.
Scanga, Charles A., Júlio Aliberti, Dragana Janković, et al.. (2002). Cutting Edge: MyD88 Is Required for Resistance to Toxoplasma gondii Infection and Regulates Parasite-Induced IL-12 Production by Dendritic Cells. The Journal of Immunology. 168(12). 5997–6001. 389 indexed citations
5.
Tilloy, Florence, James P. Di Santo, Albert Bendelac, & Olivier Lantz. (1999). Thymic dependence of invariant Vα14+ Natural Killer-T cell development. European Journal of Immunology. 29(10). 3313–3318. 57 indexed citations
6.
Tilloy, Florence, Emmanuel Treiner, Se‐Ho Park, et al.. (1999). An Invariant T Cell Receptor α Chain Defines a Novel TAP-independent Major Histocompatibility Complex Class Ib–restricted α/β T Cell Subpopulation in Mammals. The Journal of Experimental Medicine. 189(12). 1907–1921. 478 indexed citations
7.
Tilloy, Florence, James P. Di Santo, Albert Bendelac, & Olivier Lantz. (1999). Thymic dependence of invariant Vα14+ Natural Killer-T cell development. European Journal of Immunology. 29(10). 3313–3318. 1 indexed citations
8.
9.
Oukka, Mohammed, et al.. (1995). The J alpha segment contributes to the affinity of V beta 6+ cells for vSAG-7 (Mls-1a) presented by I-A molecules.. PubMed. 84(4). 609–18. 2 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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