Didier Rognan
Impact in
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods
- Molecular Biology top 0.5%
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- Chemical Synthesis and Analysis
Papers in
-
- Computational Drug Discovery Methods 63
-
- Protein Structure and Dynamics 33
- Receptor Mechanisms and Signaling 26
- Chemical Synthesis and Analysis 23
- Co-authors
- Esther KellenbergerGerd FolkersCaterina BissantzGilles MarcouJérémy DesaphyPascal MüllerJordi RodrigoGuillaume Bret
- Journals
- Journal of Chemical Information and Modeling (23 papers)Journal of Medicinal Chemistry (18 papers)Journal of Biological Chemistry (13 papers)Proteins Structure Function and Bioinformatics (9 papers)Journal of Computer-Aided Molecular Design (7 papers)
- Partner nations
- FranceSwitzerlandGermany
In The Last Decade
Didier Rognan
173 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Computational Theory and Mathematics 3.8k
- Molecular Biology 6.3k
- Cellular and Molecular Neuroscience 1.0k
- Pharmacology 910
- Organic Chemistry 1.2k
Countries citing papers authored by Didier Rognan
This map shows the geographic impact of Didier Rognan'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 Didier Rognan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didier Rognan more than expected).
Fields of papers citing papers by Didier Rognan
This network shows the impact of papers produced by Didier Rognan. 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 Didier Rognan. The network helps show where Didier Rognan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Didier Rognan, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 4 | |
| 6 | 2022 | 20 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 108 | |
| 11 | 2021 | 47 | |
| 12 | 2021 | 17 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 142 | |
| 15 | 2020 | 19 | |
| 16 | 2019 | 27 | |
| 17 | 2019 | 36 | |
| 18 | 2019 | 5 | |
| 19 | 2018 | 25 | |
| 20 | 2016 | 13 |
About Didier Rognan
Didier Rognan is a scholar working on Computational Theory and Mathematics, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology and Cellular and Molecular Neuroscience, having authored 173 papers that have together received 8.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (63 papers), Protein Structure and Dynamics (33 papers), Monoclonal and Polyclonal Antibodies Research (31 papers), Receptor Mechanisms and Signaling (26 papers), Chemical Synthesis and Analysis (23 papers), Immunotherapy and Immune Responses (18 papers), T-cell and B-cell Immunology (17 papers) and Microbial Natural Products and Biosynthesis (16 papers). The work is most often cited by research in Computational Theory and Mathematics (3.8k citations), Molecular Biology (6.3k citations), Cellular and Molecular Neuroscience (1.0k citations), Pharmacology (910 citations) and Organic Chemistry (1.2k citations). Didier Rognan has collaborated with scholars based in France, Switzerland and Germany. Frequent co-authors include Esther Kellenberger, Gerd Folkers, Caterina Bissantz, Gilles Marcou, Jérémy Desaphy, Pascal Müller, Jordi Rodrigo, Guillaume Bret, Chris de Graaf and Martial Ruat. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, Journal of Biological Chemistry, Proteins Structure Function and Bioinformatics and Journal of Computer-Aided Molecular Design.
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.