Benoit Pasquier

11.5k total citations · 1 hit paper
13 papers, 2.2k citations indexed

About

Benoit Pasquier is a scholar working on Immunology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Benoit Pasquier has authored 13 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 4 papers in Epidemiology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Benoit Pasquier's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Benoit Pasquier is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Benoit Pasquier collaborates with scholars based in France, Canada and United States. Benoit Pasquier's co-authors include Sylvain Latour, Geneviève de Saint Basile, Marie‐Claude Fondanèche, Nathalie Lambert, Alain Fischer, Renato C. Monteiro, Pierre Launay, Françoise Le Deist, Véronique Mateo and Frédéric Rieux‐Laucat and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Benoit Pasquier

13 papers receiving 2.2k citations

Hit Papers

A highly potent and selective Vps34 inhibitor alters vesi... 2014 2026 2018 2022 2014 100 200 300
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. A highly potent and selective Vps34 inhibitor alters vesicle trafficking and autophagy
    2014 356 citations Baptiste Ronan, Christine Dureuil et al. Nature Chemical Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoit Pasquier France 12 1.3k 648 617 319 316 13 2.2k
Laura M. Bartle United States 17 544 0.4× 892 1.4× 845 1.4× 530 1.7× 198 0.6× 27 2.2k
Michael J. Pinkoski United States 22 1.7k 1.3× 1.6k 2.5× 486 0.8× 630 2.0× 159 0.5× 38 3.1k
Nicolaas H. C. Brons Luxembourg 25 691 0.6× 701 1.1× 311 0.5× 566 1.8× 303 1.0× 56 2.1k
Linda Diehl Germany 25 1.6k 1.3× 587 0.9× 439 0.7× 641 2.0× 99 0.3× 49 2.5k
Héctor Martínez-Valdez United States 23 1.1k 0.9× 747 1.2× 142 0.2× 300 0.9× 169 0.5× 48 2.2k
Samuel J. Pirruccello United States 26 873 0.7× 665 1.0× 325 0.5× 495 1.6× 447 1.4× 79 2.4k
Gernot Stuhler Germany 25 2.1k 1.7× 1.1k 1.7× 233 0.4× 819 2.6× 589 1.9× 53 3.0k
Pierre Eid France 24 1.4k 1.2× 548 0.8× 434 0.7× 712 2.2× 62 0.2× 47 2.4k
Árpád Lányi Hungary 24 1.2k 1.0× 597 0.9× 178 0.3× 487 1.5× 291 0.9× 50 2.0k
Frédéric Coutant France 17 1.3k 1.0× 591 0.9× 429 0.7× 665 2.1× 47 0.1× 29 2.2k

Countries citing papers authored by Benoit Pasquier

Since Specialization
Citations

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

Fields of papers citing papers by Benoit Pasquier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoit Pasquier

This figure shows the co-authorship network connecting the top 25 collaborators of Benoit Pasquier. A scholar is included among the top collaborators of Benoit Pasquier 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 Benoit Pasquier. Benoit Pasquier 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.
Karpf, Léa, Coline Trichot, Maximilien Grandclaudon, et al.. (2022). A multivariate modeling framework to quantify immune checkpoint context-dependent stimulation on T cells. Cell Discovery. 8(1). 1–1. 1 indexed citations
2.
Tang-Huau, Tsing-Lee, Paul Gueguen, Christel Goudot, et al.. (2018). Human in vivo-generated monocyte-derived dendritic cells and macrophages cross-present antigens through a vacuolar pathway. Nature Communications. 9(1). 2570–2570. 151 indexed citations
3.
Michel, Marie‐Laure, Christelle Lenoir, Séverine Diem, et al.. (2016). SLAM‐associated protein favors the development of iNKT2 over iNKT17 cells. European Journal of Immunology. 46(9). 2162–2174. 17 indexed citations
4.
Pasquier, Benoit. (2015). Autophagy inhibitors. Cellular and Molecular Life Sciences. 73(5). 985–1001. 258 indexed citations
5.
Pasquier, Benoit. (2015). SAR405, a PIK3C3/Vps34 inhibitor that prevents autophagy and synergizes with MTOR inhibition in tumor cells. Autophagy. 11(4). 725–726. 137 indexed citations
6.
Ronan, Baptiste, Christine Dureuil, Laurence Durand, et al.. (2014). A highly potent and selective Vps34 inhibitor alters vesicle trafficking and autophagy. Nature Chemical Biology. 10(12). 1013–1019. 356 indexed citations breakdown →
7.
Eidenschenk, Céline, Emmanuelle Jouanguy, Alexandre Alcaïs, et al.. (2006). Familial NK Cell Deficiency Associated with Impaired IL-2- and IL-15-Dependent Survival of Lymphocytes. The Journal of Immunology. 177(12). 8835–8843. 26 indexed citations
8.
Rigaud, Stéphanie, Marie‐Claude Fondanèche, Nathalie Lambert, et al.. (2006). XIAP deficiency in humans causes an X-linked lymphoproliferative syndrome. Nature. 444(7115). 110–114. 481 indexed citations
9.
Pasquier, Benoit, Pierre Launay, Yutaka Kanamaru, et al.. (2005). Identification of FcαRI as an Inhibitory Receptor that Controls Inflammation. Immunity. 22(1). 31–42. 279 indexed citations
10.
Pasquier, Benoit, Yin Luo, Marie‐Claude Fondanèche, et al.. (2005). Defective NKT cell development in mice and humans lacking the adapter SAP, the X-linked lymphoproliferative syndrome gene product. The Journal of Experimental Medicine. 201(5). 695–701. 277 indexed citations
11.
Pasquier, Benoit, Yves Lepelletier, Cédric Baude, Olivier Hermine, & Renato C. Monteiro. (2004). Differential expression and function of IgA receptors (CD89 and CD71) during maturation of dendritic cells. Journal of Leukocyte Biology. 76(6). 1134–1141. 24 indexed citations
12.
Geissmann, Frédéric, Pierre Launay, Benoit Pasquier, et al.. (2001). A Subset of Human Dendritic Cells Expresses IgA Fc Receptor (CD89), Which Mediates Internalization and Activation Upon Cross-Linking by IgA Complexes. The Journal of Immunology. 166(1). 346–352. 111 indexed citations
13.
Launay, Pierre, et al.. (1999). Alternative Endocytic Pathway for Immunoglobulin A Fc Receptors (CD89) Depends on the Lack of FcRγ Association and Protects against Degradation of Bound Ligand. Journal of Biological Chemistry. 274(11). 7216–7225. 70 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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