Michael Chevalier
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
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- Neuropeptides and Animal Physiology
Papers in
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- Gene Regulatory Network Analysis 7
- Receptor Mechanisms and Signaling 4
- Single-cell and spatial transcriptomics 3
- Microbial Metabolic Engineering and Bioproduction 2
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- Neuropeptides and Animal Physiology 2
- Co-authors
- Hana El‐Samad (10 shared papers)Mark von Zastrow (2 shared papers)Roger K. Sunahara (1 shared paper)Søren G. F. Rasmussen (1 shared paper)Roshanak Irannejad (1 shared paper)Jacob P. Mahoney (1 shared paper)Jan Steyaert (1 shared paper)Bo Huang (1 shared paper)
- Journals
- The Journal of Chemical Physics (4 papers)PLoS Computational Biology (2 papers)Cell Systems (2 papers)British Journal of Occupational Therapy (1 paper)PLoS Biology (1 paper)
- Partner nations
- United StatesItalyPuerto Rico
In The Last Decade
Michael Chevalier
15 papers receiving 1.1k citations
Michael Chevalier's Hit Papers
Peers
Comparison fields: 5 of 101
- Cell Biology 379
- Cellular and Molecular Neuroscience 327
- Molecular Biology 867
- Aging 14
- Biophysics 43
Countries citing papers authored by Michael Chevalier
This map shows the geographic impact of Michael Chevalier'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 Michael Chevalier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Chevalier more than expected).
Fields of papers citing papers by Michael Chevalier
This network shows the impact of papers produced by Michael Chevalier. 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 Michael Chevalier. The network helps show where Michael Chevalier may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Chevalier, 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 | Conformational biosensors reveal GPCR signalling from endosomes Hit paper breakdown → | 2013 | 608 |
| 2 | 2010 | 339 | |
| 3 | 2019 | 61 | |
| 4 | 2020 | 30 | |
| 5 | 2010 | 30 | |
| 6 | 2014 | 13 | |
| 7 | 2014 | 13 | |
| 8 | 2009 | 9 | |
| 9 | 2015 | 8 | |
| 10 | 2025 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2014 | 5 | |
| 13 | 2011 | 5 | |
| 14 | 2012 | 3 | |
| 15 | 1997 | 2 |
About Michael Chevalier
Michael Chevalier is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Biophysics and Biomedical Engineering, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (7 papers), Receptor Mechanisms and Signaling (4 papers), Single-cell and spatial transcriptomics (3 papers), Neuropeptides and Animal Physiology (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Molecular Communication and Nanonetworks (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Cell Biology (379 citations), Cellular and Molecular Neuroscience (327 citations), Molecular Biology (867 citations), Aging (14 citations) and Biophysics (43 citations). Michael Chevalier has collaborated with scholars based in United States, Italy and Puerto Rico. Frequent co-authors include Hana El‐Samad, Mark von Zastrow, Roger K. Sunahara, Søren G. F. Rasmussen, Roshanak Irannejad, Jacob P. Mahoney, Jan Steyaert, Bo Huang, Simon E. Vidal and Tomás Aragón. Their work appears in journals such as The Journal of Chemical Physics, PLoS Computational Biology, Cell Systems, British Journal of Occupational Therapy and PLoS Biology.
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.