Sébastien Jeay
- Oncology top 5%
- Cancer-related Molecular Pathways 19
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 4
- Cancer, Hypoxia, and Metabolism 4
- NF-κB Signaling Pathways 4
- Hepatology top 5%
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- Growth Hormone and Insulin-like Growth Factors 9
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer 5
- Microbial metabolism and enzyme function 3
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- Chronic Lymphocytic Leukemia Research 3
- Co-authors
- Gail E. SonensheinPaul A. KellyElena BaixerásStefania PianettiMarie-Catherine Postel-VinayPhilip C. TrackmanDavid LeggettJason E. Hill
- Cited by
- OncologyCancer ResearchHepatology
- Journals
- Cancer Research (12 papers)Endocrinology (5 papers)Bioorganic & Medicinal Chemistry Letters (4 papers)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Sébastien Jeay
45 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 86
- Oncology 631
- Cancer Research 320
- Hepatology 166
- Endocrinology, Diabetes and Metabolism 347
- Molecular Biology 1.1k
Countries citing papers authored by Sébastien Jeay
This map shows the geographic impact of Sébastien Jeay'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 Sébastien Jeay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sébastien Jeay more than expected).
Fields of papers citing papers by Sébastien Jeay
This network shows the impact of papers produced by Sébastien Jeay. 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 Sébastien Jeay. The network helps show where Sébastien Jeay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sébastien Jeay, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2021 | 25 | |
| 4 | 2016 | 24 | |
| 5 | 2016 | 13 | |
| 6 | 2016 | 25 | |
| 7 | 2016 | 7 | |
| 8 | 2016 | 50 | |
| 9 | 2011 | 41 | |
| 10 | 2010 | 274 | |
| 11 | 2008 | 59 | |
| 12 | ARQ 197, a highly selective small molecule inhibitor of c-Met, with selective antitumor properties in a broad spectrum of human cancer cells | 2007 | 17 |
| 13 | 2004 | 69 | |
| 14 | 2003 | 7 | |
| 15 | 2002 | 98 | |
| 16 | 2001 | 55 | |
| 17 | 2001 | 18 | |
| 18 | 2001 | 45 | |
| 19 | 2000 | 80 | |
| 20 | 2000 | 57 |
About Sébastien Jeay
Sébastien Jeay is a scholar working on Oncology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 46 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (19 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Cancer Genomics and Diagnostics (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), NF-κB Signaling Pathways (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Microbial metabolism and enzyme function (3 papers). The work is most often cited by research in Oncology (631 citations), Cancer Research (320 citations) and Hepatology (166 citations). Sébastien Jeay has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Gail E. Sonenshein, Paul A. Kelly, Elena Baixerás, Stefania Pianetti, Marie-Catherine Postel-Vinay, Philip C. Trackman, David Leggett, Jason E. Hill, Neru Munshi and Mark A. Ashwell. Their work appears in journals such as Cancer Research, Endocrinology, Bioorganic & Medicinal Chemistry Letters, ChemMedChem and Molecular Cancer Therapeutics.
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.