Stéphane Huet
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
Papers in
- Immunology 15
- T-cell and B-cell Immunology 12
- Immune Cell Function and Interaction 10
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- TGF-β signaling in diseases 6
- Co-authors
- Jean‐Michel Gauthier (3 shared papers)Hervé Groux (3 shared papers)Anne‐Charlotte de Gouville (5 shared papers)Pierre Bédossa (2 shared papers)Nathalie Bâ (2 shared papers)Michel Vidaud (2 shared papers)Delphine Dargère (2 shared papers)Valérie Paradis (2 shared papers)
- Journals
- The Journal of Immunology (4 papers)Blood (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Journal of Medicinal Chemistry (2 papers)Hepatology (2 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Stéphane Huet
41 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 109
- Hepatology 358
- Immunology and Allergy 249
- Immunology 573
- Epidemiology 514
- Molecular Biology 1.1k
Countries citing papers authored by Stéphane Huet
This map shows the geographic impact of Stéphane Huet'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 Stéphane Huet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Huet more than expected).
Fields of papers citing papers by Stéphane Huet
This network shows the impact of papers produced by Stéphane Huet. 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 Stéphane Huet. The network helps show where Stéphane Huet may publish in the future.
Co-authors
The 25 scholars most cited alongside Stéphane Huet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 447 | |
| 2 | 1989 | 299 | |
| 3 | 1999 | 288 | |
| 4 | 2004 | 171 | |
| 5 | 1999 | 158 | |
| 6 | 2005 | 146 | |
| 7 | 2010 | 107 | |
| 8 | 1986 | 96 | |
| 9 | 1989 | 93 | |
| 10 | 1990 | 92 | |
| 11 | 2006 | 88 | |
| 12 | 1989 | 75 | |
| 13 | 2009 | 71 | |
| 14 | 2009 | 65 | |
| 15 | 1992 | 55 | |
| 16 | 2007 | 32 | |
| 17 | 1991 | 29 | |
| 18 | 2008 | 28 | |
| 19 | 1990 | 26 | |
| 20 | 2006 | 25 |
About Stéphane Huet
Stéphane Huet is a scholar working on Immunology, Molecular Biology, Artificial Intelligence, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 2.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (10 papers), Topic Modeling (6 papers), TGF-β signaling in diseases (6 papers), Speech and dialogue systems (4 papers), Natural Language Processing Techniques (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Liver physiology and pathology (3 papers). The work is most often cited by research in Hepatology (358 citations), Immunology and Allergy (249 citations), Immunology (573 citations), Epidemiology (514 citations) and Molecular Biology (1.1k citations). Stéphane Huet has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Jean‐Michel Gauthier, Hervé Groux, Anne‐Charlotte de Gouville, Pierre Bédossa, Nathalie Bâ, Michel Vidaud, Delphine Dargère, Valérie Paradis, Anne Bernard and Sylviane Dennler. Their work appears in journals such as The Journal of Immunology, Blood, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry and Hepatology.
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.