Jérôme Baudry

5.4k citations
86 papers · 4.2k · 2 hit papers · h-index 32

Impact in

Papers in

Jérôme Baudry

82 papers receiving 4.1k citations

Jérôme Baudry's Hit Papers

Ensemble Docking in Drug Discovery 2018 · 347 citations
3470+6+12Years since publication200400600

Peers

Jérôme Baudry
Comparison fields: 5 of 157
  • Computational Theory and Mathematics 599
  • Molecular Biology 2.2k
  • Molecular Medicine 107
  • Atomic and Molecular Physics, and Optics 665
  • Cellular and Molecular Neuroscience 357
Replace Paul H. Axelsen with:
Paul H. Axelsen United States
Xi Cheng China
Vidyashankara Iyer United States
Eva Darian United States
Philip C. Biggin United Kingdom
Shan Zhong United States
Jens Erik Nielsen Ireland
Daniel R. Roe United States
Rossen Apostolov Sweden
Sarah Rauscher Canada
Jérôme Baudry relative to Paul H. Axelsen United States Paul H. Axelsen's profile →
Citations per field
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Paul H. Axelsen · 1×
Citations per year

Countries citing papers authored by Jérôme Baudry

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Jérôme Baudry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jérôme Baudry Line = papers co-authored together Jérôme Baudry links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Biasing reaction pathways with mechanical force
Hit paper breakdown →
2007721
2
Ensemble Docking in Drug Discovery
Hit paper breakdown →
2018347
3 2001304
4 2004261
5 2010204
6 2004182
7 2011101
8 201698
9 200097
10 201689
11 200382
12 200181
13 201976
14 201172
15 200070
16 200366
17 201365
18 200859
19 201456
20 201753

About Jérôme Baudry

Jérôme Baudry is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Materials Chemistry and Genetics, having authored 86 papers that have together received 4.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (29 papers), Computational Drug Discovery Methods (22 papers), Enzyme Structure and Function (10 papers), Receptor Mechanisms and Signaling (7 papers), Photosynthetic Processes and Mechanisms (7 papers), RNA and protein synthesis mechanisms (7 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Mass Spectrometry Techniques and Applications (6 papers). The work is most often cited by research in Computational Theory and Mathematics (599 citations), Molecular Biology (2.2k citations), Molecular Medicine (107 citations), Atomic and Molecular Physics, and Optics (665 citations) and Cellular and Molecular Neuroscience (357 citations). Jérôme Baudry has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Jeremy C. Smith, Scott R. White, Charles R. Hickenboth, Jeffrey S. Moore, Nancy R. Sottos, Scott R. Wilson, Klaus Schulten, Yinglong Miao, Mary A. Schuler and May R. Berenbaum. Their work appears in journals such as The Journal of Physical Chemistry B, Biophysical Journal, PLoS ONE, Journal of Computational Chemistry and Protein Engineering Design and Selection.

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.

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