Alexandre Beautrait

887 citations
19 papers · 624 · h-index 13

Impact in

Papers in

Alexandre Beautrait

18 papers receiving 616 citations

Peers

Alexandre Beautrait
Comparison fields: 5 of 71
  • Cellular and Molecular Neuroscience 191
  • Computational Theory and Mathematics 134
  • Molecular Biology 486
  • Cell Biology 55
  • Endocrine and Autonomic Systems 17
Replace Ian L. Dale with:
Ian L. Dale United Kingdom
Darlaine Pétrin Canada
W. Darrell Capel United States
Bas Vroling Netherlands
Jo‐Anne Baltos Australia
Cuiying Yi China
Joyce T. Coll United States
Viktoria Lukashova Canada
Steve Rees United Kingdom
Rory Sleno Canada
Alexandre Beautrait relative to Ian L. Dale United Kingdom Ian L. Dale's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Alexandre Beautrait, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alexandre Beautrait Line = papers co-authored together Alexandre Beautrait links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2012129
2 2017127
3 202375
4 201542
5 201837
6 201535
7 201432
8 202224
9 201920
10 200818
11 201617
12 200816
13 200613
14 202112
15 202310
16 20087
17 20205
18 20045
19 20260

About Alexandre Beautrait

Alexandre Beautrait is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Cell Biology and Spectroscopy, having authored 19 papers that have together received 624 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Neuropeptides and Animal Physiology (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (191 citations), Computational Theory and Mathematics (134 citations), Molecular Biology (486 citations), Cell Biology (55 citations) and Endocrine and Autonomic Systems (17 citations). Alexandre Beautrait has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Michel Bouvier, Stéphane A. Laporte, Brandon Zimmerman, Audrey Claing, Emanuel Escher, Yoon Namkung, Sylvain Armando, Justine S. Paradis, Philippe P. Roux and Jérémie Vendôme. Their work appears in journals such as Journal of Molecular Modeling, Scientific Reports, Nature Communications, Trends in Biochemical Sciences and ACS Medicinal Chemistry Letters.

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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