Pierre Ducrot
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis
Papers in
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- Phosphodiesterase function and regulation 3
- Receptor Mechanisms and Signaling 3
- Synthesis and bioactivity of alkaloids 3
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- Chemical synthesis and alkaloids 5
- Co-authors
- Karine Audouze (2 shared papers)Olivier Taboureau (2 shared papers)Jean A. Boutin (5 shared papers)Emmanuelle Lautié (1 shared paper)Olivier Russo (1 shared paper)Claude Thal (9 shared papers)Eric Raimbaud (2 shared papers)Jérémy Desaphy (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (5 papers)Tetrahedron (4 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Journal of Computer-Aided Molecular Design (3 papers)Journal of Medicinal Chemistry (3 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Pierre Ducrot
33 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 103
- Computational Theory and Mathematics 377
- Pharmacology 104
- Organic Chemistry 354
- Pharmacology 167
- Molecular Biology 716
Countries citing papers authored by Pierre Ducrot
This map shows the geographic impact of Pierre Ducrot'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 Pierre Ducrot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Ducrot more than expected).
Fields of papers citing papers by Pierre Ducrot
This network shows the impact of papers produced by Pierre Ducrot. 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 Pierre Ducrot. The network helps show where Pierre Ducrot may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Ducrot, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 272 | |
| 2 | 2020 | 168 | |
| 3 | 2013 | 130 | |
| 4 | 2000 | 102 | |
| 5 | 2000 | 83 | |
| 6 | 2016 | 80 | |
| 7 | 2005 | 64 | |
| 8 | 2022 | 45 | |
| 9 | 2000 | 36 | |
| 10 | 2017 | 35 | |
| 11 | 2013 | 32 | |
| 12 | 2004 | 32 | |
| 13 | 2004 | 28 | |
| 14 | 1995 | 25 | |
| 15 | 2000 | 25 | |
| 16 | 2006 | 24 | |
| 17 | 2016 | 24 | |
| 18 | 1996 | 22 | |
| 19 | 2009 | 20 | |
| 20 | 1998 | 20 |
About Pierre Ducrot
Pierre Ducrot is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Computational Theory and Mathematics and Materials Chemistry, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Chemical synthesis and alkaloids (5 papers), Microbial Natural Products and Biosynthesis (5 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Phosphodiesterase function and regulation (3 papers), Receptor Mechanisms and Signaling (3 papers), Enzyme Structure and Function (3 papers) and Synthesis and bioactivity of alkaloids (3 papers). The work is most often cited by research in Computational Theory and Mathematics (377 citations), Pharmacology (104 citations), Organic Chemistry (354 citations), Pharmacology (167 citations) and Molecular Biology (716 citations). Pierre Ducrot has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Karine Audouze, Olivier Taboureau, Jean A. Boutin, Emmanuelle Lautié, Olivier Russo, Claude Thal, Eric Raimbaud, Jérémy Desaphy, Didier Rognan and Michel Legraverend. Their work appears in journals such as Journal of Chemical Information and Modeling, Tetrahedron, Bioorganic & Medicinal Chemistry Letters, Journal of Computer-Aided Molecular Design and Journal of 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.