Christophe Fromont
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
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- Computational Drug Discovery Methods
Papers in
-
- Chemical Synthesis and Analysis 2
- RNA regulation and disease 2
-
- Synthesis and Catalytic Reactions 4
- Synthesis of heterocyclic compounds 3
- Co-authors
- Peter M. Fischer (4 shared papers)Heather P. Harding (2 shared papers)Yusuke Sekine (2 shared papers)David Ron (2 shared papers)Martin J. Drysdale (3 shared papers)Roderick E. Hubbard (3 shared papers)Brian Dymock (3 shared papers)Xavier Barril (3 shared papers)
- Journals
- Blood (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Chemical Communications (1 paper)Tetrahedron (1 paper)Science (1 paper)
- Partner nations
- United KingdomFrance
In The Last Decade
Christophe Fromont
17 papers receiving 985 citations
Peers
Comparison fields: 5 of 83
- Cell Biology 244
- Computational Theory and Mathematics 197
- Molecular Biology 661
- Biological Psychiatry 19
- Immunology 160
Countries citing papers authored by Christophe Fromont
This map shows the geographic impact of Christophe Fromont'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 Christophe Fromont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Fromont more than expected).
Fields of papers citing papers by Christophe Fromont
This network shows the impact of papers produced by Christophe Fromont. 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 Christophe Fromont. The network helps show where Christophe Fromont may publish in the future.
Co-authors
The 25 scholars most cited alongside Christophe Fromont, 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 | 2015 | 258 | |
| 2 | 2004 | 210 | |
| 3 | 2018 | 135 | |
| 4 | 2004 | 91 | |
| 5 | 1994 | 72 | |
| 6 | 2010 | 69 | |
| 7 | 2003 | 52 | |
| 8 | 2000 | 33 | |
| 9 | 1999 | 28 | |
| 10 | 1997 | 24 | |
| 11 | Functional study of residual T lymphocytes after specific elimination of alloreactive T cells by a specific anti-interleukin-2 receptor Bk chain immunotoxin. | 1993 | 17 |
| 12 | 2017 | 15 | |
| 13 | 1994 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 1997 | 3 | |
| 16 | 1997 | 1 | |
| 17 | 1994 | 1 |
About Christophe Fromont
Christophe Fromont is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Immunology and Computational Theory and Mathematics, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (4 papers), Synthesis and Catalytic Reactions (4 papers), Synthesis of heterocyclic compounds (3 papers), CAR-T cell therapy research (3 papers), Computational Drug Discovery Methods (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Chemical Synthesis and Analysis (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Cell Biology (244 citations), Computational Theory and Mathematics (197 citations), Molecular Biology (661 citations), Biological Psychiatry (19 citations) and Immunology (160 citations). Christophe Fromont has collaborated with scholars based in United Kingdom and France. Frequent co-authors include Peter M. Fischer, Heather P. Harding, Yusuke Sekine, David Ron, Martin J. Drysdale, Roderick E. Hubbard, Brian Dymock, Xavier Barril, A.E. Surgenor and Giovanna R. Mallucci. Their work appears in journals such as Blood, Bioorganic & Medicinal Chemistry Letters, Chemical Communications, Tetrahedron and Science.
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.