Guillaume Postic

720 total citations
27 papers, 436 citations indexed

About

Guillaume Postic is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Guillaume Postic has authored 27 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 6 papers in Materials Chemistry and 5 papers in Genetics. Recurrent topics in Guillaume Postic's work include Protein Structure and Dynamics (16 papers), RNA and protein synthesis mechanisms (12 papers) and Enzyme Structure and Function (6 papers). Guillaume Postic is often cited by papers focused on Protein Structure and Dynamics (16 papers), RNA and protein synthesis mechanisms (12 papers) and Enzyme Structure and Function (6 papers). Guillaume Postic collaborates with scholars based in France, Czechia and Denmark. Guillaume Postic's co-authors include Jean‐Christophe Gelly, Alexandre G. de Brevern, Jérôme Gracy, L. Chiche, Undine Mechold, Antoine Danchin, Pierre Tufféry, Iharilalao Dubail, Alain Charbit and Fariza Tahi and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Guillaume Postic

26 papers receiving 435 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 Postic France 12 360 79 75 36 28 27 436
Chengdong Huang United States 14 426 1.2× 49 0.6× 102 1.4× 24 0.7× 51 1.8× 34 635
Julie L. Chaney United States 9 539 1.5× 113 1.4× 82 1.1× 47 1.3× 16 0.6× 11 649
Anthony Semesi Canada 12 337 0.9× 89 1.1× 84 1.1× 32 0.9× 11 0.4× 26 482
Saikat Chakrabarti India 13 423 1.2× 46 0.6× 49 0.7× 33 0.9× 12 0.4× 33 503
Kensey R. Amaya United States 8 466 1.3× 114 1.4× 49 0.7× 74 2.1× 30 1.1× 9 592
Michael Schantz Klausen Denmark 6 525 1.5× 102 1.3× 52 0.7× 32 0.9× 10 0.4× 7 636
Anna Gribun Canada 7 485 1.3× 86 1.1× 127 1.7× 17 0.5× 15 0.5× 8 569
Hookang Im South Korea 11 281 0.8× 95 1.2× 119 1.6× 48 1.3× 13 0.5× 17 449
Dariya K. Sydykova United States 6 395 1.1× 93 1.2× 73 1.0× 21 0.6× 18 0.6× 7 491
Phu Nguyen Le Minh Belgium 10 366 1.0× 128 1.6× 40 0.5× 50 1.4× 16 0.6× 11 474

Countries citing papers authored by Guillaume Postic

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume Postic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Postic

This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Postic. A scholar is included among the top collaborators of Guillaume Postic 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 Postic. Guillaume Postic 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.
Postic, Guillaume, et al.. (2025). Has AlphaFold 3 achieved success for RNA?. Acta Crystallographica Section D Structural Biology. 81(2). 49–62. 10 indexed citations
2.
Postic, Guillaume, et al.. (2024). RNAdvisor: a comprehensive benchmarking tool for the measure and prediction of RNA structural model quality. Briefings in Bioinformatics. 25(2). 7 indexed citations
3.
Postic, Guillaume, et al.. (2024). State-of-the-RNArt: benchmarking current methods for RNA 3D structure prediction. NAR Genomics and Bioinformatics. 6(2). lqae048–lqae048. 11 indexed citations
4.
Postic, Guillaume, et al.. (2024). RNA-TorsionBERT: leveraging language models for RNA 3D torsion angles prediction. Bioinformatics. 41(1). 2 indexed citations
5.
Postic, Guillaume, et al.. (2023). IRSOM2: a web server for predicting bifunctional RNAs. Nucleic Acids Research. 51(W1). W281–W288. 2 indexed citations
6.
Postic, Guillaume, Frédéric Adam, Thibaut Léger, et al.. (2023). Over‐expression of Dyrk1A affects bleeding by modulating plasma fibronectin and fibrinogen level in mice. Journal of Cellular and Molecular Medicine. 27(15). 2228–2238. 3 indexed citations
7.
Galochkina, Tatiana, et al.. (2022). SWORD2: hierarchical analysis of protein 3D structures. Nucleic Acids Research. 50(W1). W732–W738. 23 indexed citations
8.
Postic, Guillaume, Nathalie Janel, & Gautier Moroy. (2021). Representations of protein structure for exploring the conformational space: A speed–accuracy trade-off. Computational and Structural Biotechnology Journal. 19. 2618–2625. 2 indexed citations
9.
Postic, Guillaume, Nathalie Janel, Pierre Tufféry, & Gautier Moroy. (2020). An information gain-based approach for evaluating protein structure models. Computational and Structural Biotechnology Journal. 18. 2228–2236. 5 indexed citations
10.
Karami, Yasaman, Julien Rey, Guillaume Postic, et al.. (2019). DaReUS-Loop: a web server to model multiple loops in homology models. Nucleic Acids Research. 47(W1). W423–W428. 27 indexed citations
11.
Pathmanathan, Jananan S., et al.. (2018). TEF 2.0: a graph-based method for decomposing protein structures into closed loops. Journal of Biomolecular Structure and Dynamics. 37(16). 4140–4150.
12.
Postic, Guillaume, et al.. (2018). MyPMFs: a simple tool for creating statistical potentials to assess protein structural models. Biochimie. 151. 37–41. 3 indexed citations
13.
Postic, Guillaume, et al.. (2017). KNOTTIN: the database of inhibitor cystine knot scaffold after 10 years, toward a systematic structure modeling. Nucleic Acids Research. 46(D1). D454–D458. 79 indexed citations
14.
Postic, Guillaume, et al.. (2017). An ambiguity principle for assigning protein structural domains. Science Advances. 3(1). e1600552–e1600552. 31 indexed citations
15.
Postic, Guillaume, et al.. (2016). ORION: a web server for protein fold recognition and structure prediction using evolutionary hybrid profiles. Scientific Reports. 6(1). 28268–28268. 25 indexed citations
16.
Postic, Guillaume, et al.. (2015). Membrane positioning for high- and low-resolution protein structures through a binary classification approach. Protein Engineering Design and Selection. 29(3). 87–92. 11 indexed citations
17.
Postic, Guillaume, et al.. (2015). An empirical energy function for structural assessment of protein transmembrane domains. Biochimie. 115. 155–161. 14 indexed citations
18.
Postic, Guillaume, Iharilalao Dubail, Eric Frapy, et al.. (2012). Identification of a Novel Small RNA Modulating Francisella tularensis Pathogenicity. PLoS ONE. 7(7). e41999–e41999. 11 indexed citations
19.
Postic, Guillaume, Antoine Danchin, & Undine Mechold. (2011). Characterization of NrnA homologs from Mycobacterium tuberculosis and Mycoplasma pneumoniae. RNA. 18(1). 155–165. 38 indexed citations
20.
Postic, Guillaume, Eric Frapy, Marion Dupuis, et al.. (2010). Identification of small RNAs in Francisella tularensis. BMC Genomics. 11(1). 625–625. 22 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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