Jérôme Baudry
- Molecular Biology top 5%
- Atomic and Molecular Physics, and Optics top 5%
- Materials Chemistry top 10%
- Computational Theory and Mathematics top 1%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Jeremy C. SmithNancy R. SottosScott R. WhiteScott R. WilsonJeffrey S. MooreCharles R. HickenbothKlaus SchultenYinglong Miao
- Topics
- Protein Structure and Dynamics (30 papers)Computational Drug Discovery Methods (22 papers)Enzyme Structure and Function (11 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Jérôme Baudry
81 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 2.1k
- Atomic and Molecular Physics, and Optics 642
- Materials Chemistry 628
- Computational Theory and Mathematics 551
- Cellular and Molecular Neuroscience 353
Countries citing papers authored by Jérôme Baudry
This map shows the geographic impact of Jérôme Baudry'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 Jérôme Baudry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Baudry more than expected).
Fields of papers citing papers by Jérôme Baudry
This network shows the impact of papers produced by Jérôme Baudry. 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 Jérôme Baudry. The network helps show where Jérôme Baudry may publish in the future.
Co-authorship network of co-authors of Jérôme Baudry
This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Baudry. A scholar is included among the top collaborators of Jérôme Baudry based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jérôme Baudry. Jérôme Baudry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 12 | |
| 4 | Ensemble Docking in Drug Discoverybreakdown → | 313 |
| 5 | 3 | |
| 6 | 35 | |
| 7 | 32 | |
| 8 | 7 | |
| 9 | 38 | |
| 10 | 4 | |
| 11 | 20 | |
| 12 | 41 | |
| 13 | Biasing reaction pathways with mechanical forcebreakdown → | 693 |
| 14 | 23 | |
| 15 | 178 | |
| 16 | 20 | |
| 17 | 48 | |
| 18 | 291 | |
| 19 | 67 | |
| 20 | 95 |
About Jérôme Baudry
Jérôme Baudry is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy, having authored 82 papers that have together received 4.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (30 papers), Computational Drug Discovery Methods (22 papers) and Enzyme Structure and Function (11 papers). The work is most often cited by research in Computational Theory and Mathematics (551 citations), Molecular Biology (2.1k citations) and Molecular Medicine (106 citations). Jérôme Baudry has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Jeremy C. Smith, Nancy R. Sottos, Scott R. White, Scott R. Wilson, Jeffrey S. Moore, Charles R. Hickenboth, Klaus Schulten, Yinglong Miao, May R. Berenbaum and Mary A. Schuler. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.