Alexandre Beautrait

870 total citations
18 papers, 584 citations indexed

About

Alexandre Beautrait is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Alexandre Beautrait has authored 18 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Alexandre Beautrait's work include Receptor Mechanisms and Signaling (8 papers), Computational Drug Discovery Methods (7 papers) and Protein Structure and Dynamics (5 papers). Alexandre Beautrait is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Computational Drug Discovery Methods (7 papers) and Protein Structure and Dynamics (5 papers). Alexandre Beautrait collaborates with scholars based in Canada, United States and France. Alexandre Beautrait's co-authors include Michel Bouvier, Stéphane A. Laporte, Brandon Zimmerman, Audrey Claing, Emanuel Escher, Yoon Namkung, Sylvain Armando, Philippe P. Roux, Justine S. Paradis and Jérémie Vendôme and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Alexandre Beautrait

18 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexandre Beautrait Canada 13 473 186 129 50 48 18 584
Ian L. Dale United Kingdom 16 455 1.0× 113 0.6× 60 0.5× 22 0.4× 40 0.8× 25 672
Kristoff T. Homan United States 17 755 1.6× 363 2.0× 68 0.5× 30 0.6× 28 0.6× 26 898
Bas Vroling Netherlands 14 842 1.8× 346 1.9× 192 1.5× 23 0.5× 39 0.8× 21 1.0k
Steve Rees United Kingdom 6 257 0.5× 97 0.5× 87 0.7× 20 0.4× 30 0.6× 9 495
Arina Hadziselimovic United States 13 728 1.5× 155 0.8× 67 0.5× 168 3.4× 89 1.9× 17 999
Rory Sleno Canada 11 424 0.9× 247 1.3× 28 0.2× 31 0.6× 32 0.7× 14 490
W. Darrell Capel United States 7 749 1.6× 409 2.2× 71 0.6× 56 1.1× 29 0.6× 7 807
Chidochangu P. Mpamhanga United Kingdom 8 438 0.9× 113 0.6× 158 1.2× 10 0.2× 59 1.2× 10 635
Brian J. Holleran Canada 14 327 0.7× 205 1.1× 68 0.5× 11 0.2× 82 1.7× 30 457
Kari Callaway United States 13 601 1.3× 86 0.5× 90 0.7× 75 1.5× 69 1.4× 13 803

Countries citing papers authored by Alexandre Beautrait

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre Beautrait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandre Beautrait

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

All Works

18 of 18 papers shown
1.
Chen, Wei, Steven V. Jerome, Mayako Michino, et al.. (2023). Enhancing Hit Discovery in Virtual Screening through Absolute Protein–Ligand Binding Free-Energy Calculations. Journal of Chemical Information and Modeling. 63(10). 3171–3185. 69 indexed citations
2.
Michino, Mayako, Alexandre Beautrait, Nicholas A. Boyles, et al.. (2023). Shape-Based Virtual Screening of a Billion-Compound Library Identifies Mycobacterial Lipoamide Dehydrogenase Inhibitors. SHILAP Revista de lepidopterología. 3(6). 507–515. 7 indexed citations
3.
Zhu, Kai, Alexandre Beautrait, Jérémie Vendôme, et al.. (2022). Induced-Fit Docking Enables Accurate Free Energy Perturbation Calculations in Homology Models. Journal of Chemical Theory and Computation. 18(9). 5710–5724. 23 indexed citations
4.
Schuetz, Doris A., Tomasz Maciej Stępniewski, Yoon Namkung, et al.. (2021). Discovery of a dual Ras and ARF6 inhibitor from a GPCR endocytosis screen. Nature Communications. 12(1). 4688–4688. 10 indexed citations
5.
Saha, Kusumika, Mireille Lambert, Hiroyuki Kobayashi, et al.. (2020). Beta-arrestins operate an on/off control switch for focal adhesion kinase activity. Cellular and Molecular Life Sciences. 77(24). 5259–5279. 5 indexed citations
6.
Beautrait, Alexandre, Gyanesh Sharma, A. Gorelik, et al.. (2019). Identification of Allosteric Inhibitors against Active Caspase-6. Scientific Reports. 9(1). 19 indexed citations
7.
Chaturvedi, Madhu, Justin Schilling, Alexandre Beautrait, et al.. (2018). Emerging Paradigm of Intracellular Targeting of G Protein-Coupled Receptors. Trends in Biochemical Sciences. 43(7). 533–546. 35 indexed citations
8.
Beautrait, Alexandre, Justine S. Paradis, Brandon Zimmerman, et al.. (2017). A new inhibitor of the β-arrestin/AP2 endocytic complex reveals interplay between GPCR internalization and signalling. Nature Communications. 8(1). 15054–15054. 122 indexed citations
9.
Lavallée, Jean-François, Marie Futter, Alexandre Beautrait, et al.. (2016). Identification of Polo-like kinase 1 interaction inhibitors using a novel cell-based assay. Scientific Reports. 6(1). 37581–37581. 15 indexed citations
10.
Namkung, Yoon, Sylvain Armando, Dominic Devost, et al.. (2015). Quantifying biased signaling in GPCRs using BRET-based biosensors. Methods. 92. 5–10. 34 indexed citations
11.
Paradis, Justine S., Jacob A. Galán, Alexandre Beautrait, et al.. (2015). Receptor sequestration in response to β-arrestin-2 phosphorylation by ERK1/2 governs steady-state levels of GPCR cell-surface expression. Proceedings of the National Academy of Sciences. 112(37). E5160–8. 40 indexed citations
12.
Beautrait, Alexandre, Kevin Michalski, Amber R. Cutter, et al.. (2014). Mapping the Putative G Protein-coupled Receptor (GPCR) Docking Site on GPCR Kinase 2. Journal of Biological Chemistry. 289(36). 25262–25275. 29 indexed citations
13.
Zimmerman, Brandon, Alexandre Beautrait, Emanuel Escher, et al.. (2012). Differential β-Arrestin–Dependent Conformational Signaling and Cellular Responses Revealed by Angiotensin Analogs. Science Signaling. 5(221). ra33–ra33. 118 indexed citations
14.
Beautrait, Alexandre, et al.. (2008). Induced fit in liver X receptor beta: A molecular dynamics‐based investigation. Proteins Structure Function and Bioinformatics. 72(3). 873–882. 7 indexed citations
15.
Beautrait, Alexandre, Vincent Leroux, Matthieu Chavent, et al.. (2008). Multiple-step virtual screening using VSM-G: overview and validation of fast geometrical matching enrichment. Journal of Molecular Modeling. 14(2). 135–148. 18 indexed citations
16.
Cai, Wensheng, et al.. (2008). SHEF: a vHTS geometrical filter using coefficients of spherical harmonic molecular surfaces. Journal of Molecular Modeling. 14(5). 393–401. 16 indexed citations
17.
Yamagishi, M. E. B., N. F. Martins, Goran Neshich, et al.. (2006). A fast surface-matching procedure for protein–ligand docking. Journal of Molecular Modeling. 12(6). 965–972. 12 indexed citations
18.
Bell, Fraser I., et al.. (2004). Do Natural Silks Make Good Engineering Materials?. MRS Proceedings. 823. 5 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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