Benoit Pasquier
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunodeficiency and Autoimmune Disorders
- Immunotherapy and Immune Responses
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
Papers in
- Immunology 10
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 3
- Immunodeficiency and Autoimmune Disorders 2
-
- Autophagy in Disease and Therapy 3
- Co-authors
- Sylvain Latour (3 shared papers)Marie‐Claude Fondanèche (2 shared papers)Geneviève de Saint Basile (2 shared papers)Nathalie Lambert (2 shared papers)Alain Fischer (2 shared papers)Renato C. Monteiro (4 shared papers)Pierre Launay (3 shared papers)Françoise Le Deist (2 shared papers)
In The Last Decade
Benoit Pasquier
13 papers receiving 2.2k citations
Benoit Pasquier's Hit Papers
Peers
Comparison fields: 5 of 95
- Immunology 1.2k
- Physiology 148
- Hematology 301
- Epidemiology 595
- Oncology 291
Countries citing papers authored by Benoit Pasquier
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
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-authors
The 25 scholars most cited alongside Benoit Pasquier, 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 | 2006 | 488 | |
| 2 | A highly potent and selective Vps34 inhibitor alters vesicle trafficking and autophagy Hit paper breakdown → | 2014 | 369 |
| 3 | 2005 | 279 | |
| 4 | 2005 | 278 | |
| 5 | 2015 | 267 | |
| 6 | 2018 | 154 | |
| 7 | 2015 | 141 | |
| 8 | 2001 | 111 | |
| 9 | 1999 | 70 | |
| 10 | 2006 | 26 | |
| 11 | 2004 | 24 | |
| 12 | 2016 | 17 | |
| 13 | 2022 | 2 |
About Benoit Pasquier
Benoit Pasquier is a scholar working on Immunology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Hematology and Molecular Biology, having authored 13 papers that have together received 2.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immunotherapy and Immune Responses (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Autophagy in Disease and Therapy (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Calcium signaling and nucleotide metabolism (2 papers). The work is most often cited by research in Immunology (1.2k citations), Physiology (148 citations), Hematology (301 citations), Epidemiology (595 citations) and Oncology (291 citations). Benoit Pasquier has collaborated with scholars based in France, Canada and Germany. Frequent co-authors include Sylvain Latour, Marie‐Claude Fondanèche, Geneviève de Saint Basile, Nathalie Lambert, Alain Fischer, Renato C. Monteiro, Pierre Launay, Françoise Le Deist, Frédéric Rieux‐Laucat and Pauline Soulas‐Sprauel. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Journal of Leukocyte Biology, Nature Communications and Journal of Biological Chemistry.
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.