Alexandre Beautrait
Impact in
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- Neuropeptides and Animal Physiology
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- Computational Drug Discovery Methods
Papers in
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- Receptor Mechanisms and Signaling 8
- Protein Structure and Dynamics 5
- Protein Kinase Regulation and GTPase Signaling 3
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- Computational Drug Discovery Methods 7
- Co-authors
- Michel Bouvier (7 shared papers)Stéphane A. Laporte (4 shared papers)Brandon Zimmerman (2 shared papers)Emanuel Escher (1 shared paper)Audrey Claing (2 shared papers)Sylvain Armando (3 shared papers)Yoon Namkung (3 shared papers)Philippe P. Roux (2 shared papers)
- Journals
- Journal of Molecular Modeling (3 papers)Scientific Reports (2 papers)Nature Communications (2 papers)Methods (1 paper)Science Signaling (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Alexandre Beautrait
18 papers receiving 579 citations
Peers
Comparison fields: 5 of 74
- Cellular and Molecular Neuroscience 186
- Computational Theory and Mathematics 129
- Molecular Biology 473
- Cell Biology 50
- Endocrine and Autonomic Systems 16
Countries citing papers authored by Alexandre Beautrait
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 122 | |
| 2 | 2012 | 118 | |
| 3 | 2023 | 69 | |
| 4 | 2015 | 40 | |
| 5 | 2018 | 35 | |
| 6 | 2015 | 34 | |
| 7 | 2014 | 29 | |
| 8 | 2022 | 23 | |
| 9 | 2019 | 19 | |
| 10 | 2008 | 18 | |
| 11 | 2008 | 16 | |
| 12 | 2016 | 15 | |
| 13 | 2006 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2023 | 7 | |
| 16 | 2008 | 7 | |
| 17 | 2020 | 5 | |
| 18 | 2004 | 5 |
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 18 papers that have together received 584 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), Neuropeptides and Animal Physiology (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Enzyme Structure and Function (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (186 citations), Computational Theory and Mathematics (129 citations), Molecular Biology (473 citations), Cell Biology (50 citations) and Endocrine and Autonomic Systems (16 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, Emanuel Escher, Audrey Claing, Sylvain Armando, Yoon Namkung, Philippe P. Roux, Justine S. Paradis and Jérémie Vendôme. Their work appears in journals such as Journal of Molecular Modeling, Scientific Reports, Nature Communications, Methods and Science Signaling.
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.