Eric Raimbaud
Impact in
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- Computational Drug Discovery Methods
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- Enzyme Production and Characterization
Papers in ⓘ
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- Chemical Synthesis and Analysis 5
- Cancer therapeutics and mechanisms 3
- Machine Learning in Bioinformatics 2
- Protein Structure and Dynamics 2
- Biochemical and Structural Characterization 2
- Co-authors
- Pierre Ducrot (2 shared papers)Jérémy Desaphy (1 shared paper)Didier Rognan (1 shared paper)John A. Hickman (2 shared papers)Philippe Juin (1 shared paper)Olivier Geneste (1 shared paper)Alain Buléon (2 shared papers)Serge Pérez (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (4 papers)Journal of Chemical Information and Modeling (2 papers)Pharmaceutical Research (1 paper)ACS Medicinal Chemistry Letters (1 paper)Bioorganic & Medicinal Chemistry (1 paper)
- Partner nations
- FranceSwitzerlandMorocco
In The Last Decade
Eric Raimbaud
18 papers receiving 408 citations
Peers
Comparison fields: 5 of 72
- Computational Theory and Mathematics 117
- Biotechnology 37
- Organic Chemistry 121
- Molecular Biology 265
- Toxicology 9
Countries citing papers authored by Eric Raimbaud
This map shows the geographic impact of Eric Raimbaud'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 Eric Raimbaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Raimbaud more than expected).
Fields of papers citing papers by Eric Raimbaud
This network shows the impact of papers produced by Eric Raimbaud. 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 Eric Raimbaud. The network helps show where Eric Raimbaud may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Raimbaud, 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 | 2013 | 119 | |
| 2 | 2003 | 53 | |
| 3 | 2000 | 49 | |
| 4 | 1989 | 33 | |
| 5 | 2003 | 25 | |
| 6 | 2004 | 22 | |
| 7 | 1999 | 22 | |
| 8 | 1996 | 21 | |
| 9 | 1992 | 15 | |
| 10 | 2003 | 15 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 8 | |
| 13 | 1990 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 1996 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2003 | 2 | |
| 18 | 1999 | 1 |
About Eric Raimbaud
Eric Raimbaud is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Pharmacology and Genetics, having authored 18 papers that have together received 420 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (5 papers), Cancer therapeutics and mechanisms (3 papers), Machine Learning in Bioinformatics (2 papers), Computational Drug Discovery Methods (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Protein Structure and Dynamics (2 papers), Biochemical and Structural Characterization (2 papers) and Enzyme Production and Characterization (2 papers). The work is most often cited by research in Computational Theory and Mathematics (117 citations), Biotechnology (37 citations), Organic Chemistry (121 citations), Molecular Biology (265 citations) and Toxicology (9 citations). Eric Raimbaud has collaborated with scholars based in France, Switzerland and Morocco. Frequent co-authors include Pierre Ducrot, Jérémy Desaphy, Didier Rognan, John A. Hickman, Philippe Juin, Olivier Geneste, Alain Buléon, Serge Pérez, Solo Goldstein and Bernard Henrissat. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Pharmaceutical Research, ACS Medicinal Chemistry Letters and Bioorganic & Medicinal 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.