Manon Réau

686 total citations
11 papers, 318 citations indexed

About

Manon Réau is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Manon Réau has authored 11 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 8 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Manon Réau's work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (5 papers) and Estrogen and related hormone effects (3 papers). Manon Réau is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (5 papers) and Estrogen and related hormone effects (3 papers). Manon Réau collaborates with scholars based in France, Netherlands and Switzerland. Manon Réau's co-authors include Alexandre M. J. J. Bonvin, Li C. Xue, Nicolas Renaud, Matthieu Montès, Jean‐François Zagury, Nathalie Lagarde, Cunliang Geng, Lars Ridder, Sonja Georgievska and Francesco Ambrosetti and has published in prestigious journals such as Nature Communications, Bioinformatics and Journal of Medicinal Chemistry.

In The Last Decade

Manon Réau

11 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manon Réau France 8 209 163 69 26 23 11 318
Kristy A. Carpenter United States 7 199 1.0× 172 1.1× 59 0.9× 28 1.1× 23 1.0× 13 349
Sybilla Corbett United Kingdom 3 271 1.3× 261 1.6× 82 1.2× 16 0.6× 36 1.6× 5 486
Steven A. Combs United States 7 244 1.2× 85 0.5× 69 1.0× 12 0.5× 15 0.7× 11 327
Georg Hinselmann Germany 8 190 0.9× 224 1.4× 86 1.2× 28 1.1× 47 2.0× 17 324
Francisco Cedrón Spain 5 146 0.7× 190 1.2× 52 0.8× 53 2.0× 23 1.0× 18 384
Thamani Dahoun Switzerland 6 323 1.5× 256 1.6× 76 1.1× 29 1.1× 17 0.7× 6 565
Xiaochu Tong China 7 164 0.8× 185 1.1× 82 1.2× 18 0.7× 21 0.9× 14 293
Wan Xiang Shen China 8 288 1.4× 87 0.5× 65 0.9× 21 0.8× 22 1.0× 17 411
Shuting Jin China 14 507 2.4× 357 2.2× 139 2.0× 88 3.4× 23 1.0× 31 739
Tomasz Danel Poland 8 142 0.7× 191 1.2× 139 2.0× 32 1.2× 15 0.7× 16 304

Countries citing papers authored by Manon Réau

Since Specialization
Citations

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

Fields of papers citing papers by Manon Réau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manon Réau

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

All Works

11 of 11 papers shown
1.
Reys, Victor, Marco Giulini, Vlad Cojocaru, et al.. (2024). Integrative Modeling in the Age of Machine Learning: A Summary of HADDOCK Strategies in CAPRI Rounds 47–55. Proteins Structure Function and Bioinformatics. 1 indexed citations
2.
Réau, Manon, Nicolas Renaud, Li C. Xue, & Alexandre M. J. J. Bonvin. (2022). DeepRank-GNN: a graph neural network framework to learn patterns in protein–protein interfaces. Bioinformatics. 39(1). 97 indexed citations
3.
Réau, Manon, et al.. (2022). Review of in silico studies dedicated to the nuclear receptor family: Therapeutic prospects and toxicological concerns. Frontiers in Endocrinology. 13. 986016–986016. 7 indexed citations
4.
Renaud, Nicolas, Cunliang Geng, Sonja Georgievska, et al.. (2021). DeepRank: a deep learning framework for data mining 3D protein-protein interfaces. Nature Communications. 12(1). 7068–7068. 76 indexed citations
5.
Koukos, Panagiotis I., Manon Réau, & Alexandre M. J. J. Bonvin. (2021). Shape-Restrained Modeling of Protein–Small-Molecule Complexes with High Ambiguity Driven DOCKing. Journal of Chemical Information and Modeling. 61(9). 4807–4818. 12 indexed citations
6.
Petitjean, Michel, Leslie Regad, Quentin Bayard, et al.. (2019). High Impact: The Role of Promiscuous Binding Sites in Polypharmacology. Molecules. 24(14). 2529–2529. 7 indexed citations
7.
Réau, Manon, Nathalie Lagarde, Jean‐François Zagury, & Matthieu Montès. (2019). Hits Discovery on the Androgen Receptor: In Silico Approaches to Identify Agonist Compounds. Cells. 8(11). 1431–1431. 3 indexed citations
8.
Réau, Manon, Nathalie Lagarde, Jean‐François Zagury, & Matthieu Montès. (2018). Nuclear Receptors Database Including Negative Data (NR-DBIND): A Database Dedicated to Nuclear Receptors Binding Data Including Negative Data and Pharmacological Profile. Journal of Medicinal Chemistry. 62(6). 2894–2904. 18 indexed citations
9.
Réau, Manon, et al.. (2018). Decoys Selection in Benchmarking Datasets: Overview and Perspectives. Frontiers in Pharmacology. 9. 11–11. 79 indexed citations
10.
Réau, Manon, et al.. (2017). Predicting the affinity of Farnesoid X Receptor ligands through a hierarchical ranking protocol: a D3R Grand Challenge 2 case study. Journal of Computer-Aided Molecular Design. 32(1). 231–238. 12 indexed citations
11.
Lagarde, Nathalie, Charly Empereur‐mot, Vincent Laville, et al.. (2017). Discriminating Agonist from Antagonist Ligands of the Nuclear Receptors Using Different Chemoinformatics Approaches. Molecular Informatics. 36(10). 6 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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