Guillaume Launay

930 total citations
29 papers, 594 citations indexed

About

Guillaume Launay is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Guillaume Launay has authored 29 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Spectroscopy. Recurrent topics in Guillaume Launay's work include Protein Structure and Dynamics (10 papers), Advanced Proteomics Techniques and Applications (5 papers) and Computational Drug Discovery Methods (4 papers). Guillaume Launay is often cited by papers focused on Protein Structure and Dynamics (10 papers), Advanced Proteomics Techniques and Applications (5 papers) and Computational Drug Discovery Methods (4 papers). Guillaume Launay collaborates with scholars based in France, United Kingdom and Canada. Guillaume Launay's co-authors include Thomas Simonson, Sylvie Ricard‐Blum, J. Frédéric Bonnans, Romain Salza, Nicolas Thierry‐Mieg, Bernard Bonnard, Jean-François Gibrat, Emmanuel Trélat, Rafael C. Jiménez and Marine Dumousseau and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Guillaume Launay

27 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guillaume Launay France 14 386 107 42 39 38 29 594
Julia Koehler Leman United States 16 869 2.3× 148 1.4× 13 0.3× 49 1.3× 44 1.2× 25 1.1k
Amaurys Ávila Ibarra United Kingdom 10 405 1.0× 65 0.6× 4 0.1× 21 0.5× 61 1.6× 16 536
Stefan Richter Germany 12 367 1.0× 118 1.1× 1 0.0× 22 0.6× 21 0.6× 34 573
Fabian Fröhlich Germany 17 543 1.4× 97 0.9× 60 1.5× 12 0.3× 28 769
Leslie R. Grate United States 15 1.2k 3.0× 25 0.2× 2 0.0× 55 1.4× 61 1.6× 20 1.4k
Julie Bachmann Germany 10 491 1.3× 48 0.4× 3 0.1× 93 2.4× 32 0.8× 11 717
Barbara Brannetti Italy 11 899 2.3× 109 1.0× 6 0.1× 50 1.3× 142 3.7× 15 1.2k
Longyun Fang China 12 1.9k 4.9× 130 1.2× 10 0.2× 26 0.7× 25 0.7× 15 2.1k
Michael Ederer Germany 16 518 1.3× 61 0.6× 2 0.0× 48 1.2× 26 0.7× 43 768
Martin Schütz Germany 16 300 0.8× 5 0.0× 21 0.5× 53 1.4× 77 2.0× 39 944

Countries citing papers authored by Guillaume Launay

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume Launay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Launay

This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Launay. A scholar is included among the top collaborators of Guillaume Launay 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 Guillaume Launay. Guillaume Launay 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.
Gueguen, Erwan, et al.. (2021). Targeted-antibacterial-plasmids (TAPs) combining conjugation and CRISPR/Cas systems achieve strain-specific antibacterial activity. Nucleic Acids Research. 49(6). 3584–3598. 47 indexed citations
2.
Martin, Juliette, et al.. (2021). The Det.Belt Server: A Tool to Visualize and Estimate Amphipathic Solvent Belts around Membrane Proteins. Membranes. 11(7). 459–459. 3 indexed citations
3.
Launay, Guillaume, et al.. (2020). Evaluation of CONSRANK-Like Scoring Functions for Rescoring Ensembles of Protein–Protein Docking Poses. Frontiers in Molecular Biosciences. 7. 559005–559005. 5 indexed citations
4.
Souza, Kleber L.A., Guillaume Launay, Frédéric Delolme, et al.. (2019). A Scaffold- and Serum-Free Method to Mimic Human Stable Cartilage Validated by Secretome. Tissue Engineering Part A. 27(5-6). 311–327. 22 indexed citations
5.
Robert, Xavier, et al.. (2018). Identification and visualization of protein binding regions with the ArDock server. Nucleic Acids Research. 46(W1). W417–W422. 9 indexed citations
6.
Launay, Guillaume, et al.. (2017). Non-interacting proteins may resemble interacting proteins: prevalence and implications. Scientific Reports. 7(1). 40419–40419. 11 indexed citations
7.
Launay, Guillaume, et al.. (2016). Implication of Terminal Residues at Protein-Protein and Protein-DNA Interfaces. PLoS ONE. 11(9). e0162143–e0162143.
8.
Launay, Guillaume, et al.. (2014). MatrixDB, the extracellular matrix interaction database: updated content, a new navigator and expanded functionalities. Nucleic Acids Research. 43(D1). D321–D327. 92 indexed citations
9.
del‐Toro, Noemí, Marine Dumousseau, Sandra Orchard, et al.. (2013). A new reference implementation of the PSICQUIC web service. Nucleic Acids Research. 41(W1). W601–W606. 70 indexed citations
10.
García, Leyla, Gustavo A Salazar, José Villaveces, et al.. (2013). BioJS: an open source JavaScript framework for biological data visualization. Bioinformatics. 29(8). 1103–1104. 60 indexed citations
11.
Launay, Guillaume, et al.. (2013). Comparative analysis of Leishmania exoproteomes: Implication for host–pathogen interactions. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1834(12). 2653–2662. 7 indexed citations
12.
Launay, Guillaume, et al.. (2012). Automatic modeling of mammalian olfactory receptors and docking of odorants. Protein Engineering Design and Selection. 25(8). 377–386. 52 indexed citations
13.
Launay, Guillaume, et al.. (2012). Modeling of mammalian olfactory receptors and docking of odorants. Biophysical Reviews. 4(3). 255–269. 14 indexed citations
14.
Launay, Guillaume, et al.. (2011). Statistical Significance of Threading Scores. Journal of Computational Biology. 19(1). 13–29. 1 indexed citations
15.
Launay, Guillaume & Thomas Simonson. (2010). A large decoy set of protein–protein complexes produced by flexible docking. Journal of Computational Chemistry. 32(1). 106–120. 3 indexed citations
16.
Launay, Guillaume & Thomas Simonson. (2008). Homology modelling of protein-protein complexes: a simple method and its possibilities and limitations. BMC Bioinformatics. 9(1). 427–427. 36 indexed citations
17.
Launay, Guillaume, Raúl Méndez, Shoshana J. Wodak, & Thomas Simonson. (2007). Recognizing protein–protein interfaces with empirical potentials and reduced amino acid alphabets. BMC Bioinformatics. 8(1). 270–270. 16 indexed citations
18.
Bonnard, Bernard, et al.. (2003). Optimal Control with State Constraints and the Space Shuttle Re-entry Problem. Journal of Dynamical and Control Systems. 9(2). 155–199. 38 indexed citations
19.
Trélat, Emmanuel, Bernard Bonnard, & Guillaume Launay. (2001). The Transcendence Needed to Compute the Sphere and the Wave Front in Martinet SR-Geometry. Journal of Mathematical Sciences. 103(6). 686–708. 3 indexed citations
20.
Launay, Guillaume, et al.. (1997). The generic local structure of time-optimal synthesis with a target of codimension one in dimension greater than two. Journal of Dynamical and Control Systems. 3(2). 165–203. 8 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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