Hervé Minoux

1.1k total citations
15 papers, 728 citations indexed

About

Hervé Minoux is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Hervé Minoux has authored 15 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Materials Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Hervé Minoux's work include Protein Structure and Dynamics (8 papers), Machine Learning in Materials Science (4 papers) and Computational Drug Discovery Methods (4 papers). Hervé Minoux is often cited by papers focused on Protein Structure and Dynamics (8 papers), Machine Learning in Materials Science (4 papers) and Computational Drug Discovery Methods (4 papers). Hervé Minoux collaborates with scholars based in France, United States and Germany. Hervé Minoux's co-authors include Brian N. Dominy, Charles L. Brooks, Romano T. Kroemer, Shensi Shen, Maria Chiara Maiuri, Oliver Kepp, Guido Kroemer, Marc Bianciotto, Isabelle Martins and Mickaël Michaud and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Hervé Minoux

14 papers receiving 722 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hervé Minoux France	9	460	218	192	106	63	15	728
Matteo Tiberti Denmark	20	698 1.5×	90 0.4×	194 1.0×	77 0.7×	70 1.1×	43	919
Ana Negri Spain	18	649 1.4×	65 0.3×	68 0.4×	116 1.1×	119 1.9×	31	1.1k
Najeeb Halabi Qatar	12	732 1.6×	72 0.3×	100 0.5×	62 0.6×	118 1.9×	25	1.1k
Iván Cornella‐Taracido United States	14	355 0.8×	61 0.3×	90 0.5×	44 0.4×	70 1.1×	20	714
Lizhe Zhu China	18	615 1.3×	33 0.2×	252 1.3×	61 0.6×	63 1.0×	48	967
Joseph E. Coyle United States	12	787 1.7×	126 0.6×	87 0.5×	151 1.4×	61 1.0×	13	1.1k
She Zhang United States	13	465 1.0×	47 0.2×	92 0.5×	68 0.6×	43 0.7×	21	769
Robert H. Newman United States	18	839 1.8×	50 0.2×	86 0.4×	43 0.4×	126 2.0×	57	1.2k
Hadar Benyamini Israel	19	997 2.2×	51 0.2×	354 1.8×	78 0.7×	102 1.6×	40	1.4k
Xingcheng Lin United States	16	645 1.4×	44 0.2×	100 0.5×	72 0.7×	81 1.3×	41	853

Countries citing papers authored by Hervé Minoux

Since Specialization

Citations

This map shows the geographic impact of Hervé Minoux'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 Hervé Minoux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hervé Minoux more than expected).

Fields of papers citing papers by Hervé Minoux

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hervé Minoux. 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 Hervé Minoux. The network helps show where Hervé Minoux may publish in the future.

Co-authorship network of co-authors of Hervé Minoux

This figure shows the co-authorship network connecting the top 25 collaborators of Hervé Minoux. A scholar is included among the top collaborators of Hervé Minoux 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 Hervé Minoux. Hervé Minoux is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Rapisarda, Chiara, et al.. (2025). Finding antibodies in cryo-EM maps with CrAI. Bioinformatics. 41(5).

Bianciotto, Marc, et al.. (2023). Autoencoders for dimensionality reduction in molecular dynamics: Collective variable dimension, biasing, and transition states. The Journal of Chemical Physics. 159(2). 8 indexed citations

Bianciotto, Marc, Lionel Colliandre, Kun Mi, et al.. (2023). AI4DR: Development and implementation of an annotation system for high-throughput dose-response experiments. SHILAP Revista de lepidopterología. 3. 100063–100063. 1 indexed citations

Jäger, Sven, et al.. (2023). Surface ID: a geometry-aware system for protein molecular surface comparison. Bioinformatics. 39(4). 6 indexed citations

Minoux, Hervé, et al.. (2022). Isometric Stratified Ensembles: A Partial and Incremental Adaptive Applicability Domain and Consensus-Based Classification Strategy for Highly Imbalanced Data Sets with Application to Colloidal Aggregation. Journal of Chemical Information and Modeling. 62(8). 1849–1862. 8 indexed citations

Bianciotto, Marc, Paraskevi Gkeka, Daria B. Kokh, Rebecca C. Wade, & Hervé Minoux. (2021). Contact Map Fingerprints of Protein–Ligand Unbinding Trajectories Reveal Mechanisms Determining Residence Times Computed from Scaled Molecular Dynamics. Journal of Chemical Theory and Computation. 17(10). 6522–6535. 13 indexed citations

Gkeka, Paraskevi, Gabriel Stoltz, Amir Barati Farimani, et al.. (2020). Machine learning force fields and coarse-grained variables in molecular\n dynamics: application to materials and biological systems. arXiv (Cornell University). 138 indexed citations

Bianciotto, Marc, et al.. (2020). Protein loops with multiple meta‐stable conformations: A challenge for sampling and scoring methods. Proteins Structure Function and Bioinformatics. 89(2). 218–231. 4 indexed citations

Langevin, Maxime, Hervé Minoux, Maximilien Levesque, & Marc Bianciotto. (2020). Scaffold-Constrained Molecular Generation. Journal of Chemical Information and Modeling. 60(12). 5637–5646. 46 indexed citations

10.

Bianciotto, Marc, et al.. (2018). Conformational changes in antibody Fab fragments upon binding and their consequences on the performance of docking algorithms. Immunology Letters. 200. 5–15. 8 indexed citations

11.

Robinson, Daniel P., Thomas Bertrand, Jean‐Christophe Carry, et al.. (2016). Differential Water Thermodynamics Determine PI3K-Beta/Delta Selectivity for Solvent-Exposed Ligand Modifications. Journal of Chemical Information and Modeling. 56(5). 886–894. 29 indexed citations

12.

Shen, Shensi, Mireia Niso‐Santano, Sandy Adjemian, et al.. (2012). Cytoplasmic STAT3 Represses Autophagy by Inhibiting PKR Activity. Molecular Cell. 48(5). 667–680. 219 indexed citations

13.

Kroemer, Romano T., et al.. (2012). Engineering Protein Therapeutics: Predictive Performances of a Structure-Based Virtual Affinity Maturation Protocol. Journal of Chemical Information and Modeling. 52(8). 2204–2214. 6 indexed citations

14.

Shen, Shensi, Oliver Kepp, Mickaël Michaud, et al.. (2011). Association and dissociation of autophagy, apoptosis and necrosis by systematic chemical study. Oncogene. 30(45). 4544–4556. 126 indexed citations

15.

Dominy, Brian N., Hervé Minoux, & Charles L. Brooks. (2004). An electrostatic basis for the stability of thermophilic proteins. Proteins Structure Function and Bioinformatics. 57(1). 128–141. 116 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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