Jérôme Baudry

5.4k total citations · 2 hit papers
82 papers, 4.0k citations indexed

About

Jérôme Baudry is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Jérôme Baudry has authored 82 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 22 papers in Computational Theory and Mathematics and 14 papers in Spectroscopy. Recurrent topics in Jérôme Baudry's work include Protein Structure and Dynamics (30 papers), Computational Drug Discovery Methods (22 papers) and Enzyme Structure and Function (11 papers). Jérôme Baudry is often cited by papers focused on Protein Structure and Dynamics (30 papers), Computational Drug Discovery Methods (22 papers) and Enzyme Structure and Function (11 papers). Jérôme Baudry collaborates with scholars based in United States, Germany and Czechia. Jérôme Baudry's co-authors include Jeremy C. Smith, Nancy R. Sottos, Scott R. White, Charles R. Hickenboth, Scott R. Wilson, Jeffrey S. Moore, Klaus Schulten, Yinglong Miao, May R. Berenbaum and Mary A. Schuler and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Jérôme Baudry

81 papers receiving 3.9k citations

Hit Papers

Biasing reaction pathways... 2007 2026 2013 2019 2007 2018 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jérôme Baudry 2.1k 642 628 551 353 82 4.0k
Vidyashankara Iyer 4.4k 2.1× 476 0.7× 530 0.8× 517 0.9× 647 1.8× 12 6.3k
Jiřı́ Vondrášek 2.2k 1.0× 691 1.1× 710 1.1× 429 0.8× 162 0.5× 129 4.1k
Sarah Rauscher 4.3k 2.0× 415 0.6× 941 1.5× 492 0.9× 437 1.2× 32 5.8k
J. Shim 3.2k 1.5× 723 1.1× 909 1.4× 790 1.4× 359 1.0× 3 5.6k
Philip C. Biggin 4.7k 2.2× 463 0.7× 613 1.0× 779 1.4× 1.2k 3.3× 170 6.3k
Grzegorz Nawrocki 3.7k 1.7× 384 0.6× 779 1.2× 456 0.8× 401 1.1× 17 5.1k
Jihyun Shim 3.0k 1.4× 537 0.8× 738 1.2× 374 0.7× 412 1.2× 18 4.2k
Rossen Apostolov 3.5k 1.6× 754 1.2× 1.1k 1.7× 531 1.0× 271 0.8× 7 6.1k
Eva Darian 3.4k 1.6× 765 1.2× 952 1.5× 822 1.5× 358 1.0× 10 5.9k
An‐Suei Yang 3.7k 1.7× 537 0.8× 1.1k 1.8× 348 0.6× 223 0.6× 88 5.3k

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-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

20 of 20 papers shown
1.
Baudry, Jérôme, et al.. (2023). Big Data analytics for improved prediction of ligand binding and conformational selection. Frontiers in Molecular Biosciences. 9. 953984–953984. 2 indexed citations
2.
Bensing, Barbara A., Rupesh Agarwal, Kemal Solakyildirim, et al.. (2022). Origins of glycan selectivity in streptococcal Siglec-like adhesins suggest mechanisms of receptor adaptation. Nature Communications. 13(1). 2753–2753. 9 indexed citations
3.
Kapoor, Karan, et al.. (2020). The carboxylation status of osteocalcin has important consequences for its structure and dynamics. Biochimica et Biophysica Acta (BBA) - General Subjects. 1865(3). 129809–129809. 12 indexed citations
4.
Pi, Min, Karan Kapoor, Rui-Song Ye, et al.. (2018). Computationally identified novel agonists for GPRC6A. PLoS ONE. 13(4). e0195980–e0195980. 16 indexed citations
5.
Amaro, Rommie E., Jérôme Baudry, John D. Chodera, et al.. (2018). Ensemble Docking in Drug Discovery. Biophysical Journal. 114(10). 2271–2278. 313 indexed citations breakdown →
6.
Baudry, Jérôme, et al.. (2017). Thermophilic Enzyme or Mesophilic Enzyme with Enhanced Thermostability: Can We Draw a Line?. The Journal of Physical Chemistry B. 121(29). 7086–7094. 3 indexed citations
8.
Dale, James B., Pierre R. Smeesters, Harry S. Courtney, et al.. (2016). Structure-based design of broadly protective group a streptococcal M protein-based vaccines. Vaccine. 35(1). 19–26. 32 indexed citations
9.
Berthelier, Valérie, et al.. (2015). Discovery of an Inhibitor of Z-Alpha1 Antitrypsin Polymerization. PLoS ONE. 10(5). e0126256–e0126256. 7 indexed citations
10.
Cashman, Derek J., Davi R. Ortega, Igor B. Zhulin, & Jérôme Baudry. (2013). Homology Modeling of the CheW Coupling Protein of the Chemotaxis Signaling Complex. PLoS ONE. 8(8). e70705–e70705. 4 indexed citations
11.
Miao, Yinglong, et al.. (2012). Coupled Flexibility Change in Cytochrome P450cam Substrate Binding Determined by Neutron Scattering, NMR, and Molecular Dynamics Simulation. Biophysical Journal. 103(10). 2167–2176. 24 indexed citations
12.
Hickenboth, Charles R., Jeffrey S. Moore, Scott R. White, et al.. (2007). Biasing reaction pathways with mechanical force. Nature. 446(7134). 423–427. 693 indexed citations breakdown →
13.
Tajkhorshid, Emad, et al.. (2004). Classical force field parameters for the heme prosthetic group of cytochrome c. Journal of Computational Chemistry. 25(13). 1613–1622. 178 indexed citations
14.
Baudry, Jérôme, et al.. (2003). Common active site architecture and binding strategy of four phenylpropanoid P450s from Arabidopsis thaliana as revealed by molecular modeling. Protein Engineering Design and Selection. 16(10). 721–731. 48 indexed citations
15.
Chaney, Michael O., Jérôme Baudry, Chera L. Esh, et al.. (2003). Aβ, aging, and Alzheimer's disease: A tale, models, and hypotheses. Neurological Research. 25(6). 581–589. 20 indexed citations
16.
Baudry, Jérôme, et al.. (2003). Molecular docking of substrates and inhibitors in the catalytic site of CYP6B1, an insect cytochrome P450 monooxygenase. Protein Engineering Design and Selection. 16(8). 577–587. 63 indexed citations
17.
Isralewitz, Barry, Jérôme Baudry, Justin Gullingsrud, Dorina Kosztin, & Klaus Schulten. (2001). Steered molecular dynamics investigations of protein function. Journal of Molecular Graphics and Modelling. 19(1). 13–25. 291 indexed citations
18.
Roher, Alex E., Jérôme Baudry, Michael O. Chaney, et al.. (2000). Oligomerization and fibril assembly of the amyloid-β protein. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1502(1). 31–43. 67 indexed citations
19.
Tajkhorshid, Emad, Jérôme Baudry, Klaus Schulten, & Sándor Suhai. (2000). Molecular Dynamics Study of the Nature and Origin of Retinal's Twisted Structure in Bacteriorhodopsin. Biophysical Journal. 78(2). 683–693. 95 indexed citations
20.
Baudry, Jérôme, Serge Crouzy, Benoît Roux, & Jeremy C. Smith. (1999). Simulation Analysis of the Retinal Conformational Equilibrium in Dark-Adapted Bacteriorhodopsin. Biophysical Journal. 76(4). 1909–1917. 31 indexed citations

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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