Marie‐Soleil Gauthier
- Physiology top 5%
- Molecular Biology
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Co-authors
- Neil B. RudermanJosé M. CacicedoJ.-M. LavoieAsish K. SahaKarine CouturierJean-Marc LavoieCaroline M. ApovianNoyan Gokce
- Topics
- Metabolism, Diabetes, and Cancer (9 papers)Adipose Tissue and Metabolism (9 papers)Diet and metabolism studies (4 papers)
- Journals
- Journal of Biological ChemistryNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- CanadaUnited StatesSaudi Arabia
In The Last Decade
Marie‐Soleil Gauthier
36 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 103
- Physiology 722
- Molecular Biology 642
- Epidemiology 596
- Endocrinology, Diabetes and Metabolism 332
- Surgery 285
Countries citing papers authored by Marie‐Soleil Gauthier
This map shows the geographic impact of Marie‐Soleil Gauthier'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 Marie‐Soleil Gauthier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie‐Soleil Gauthier more than expected).
Fields of papers citing papers by Marie‐Soleil Gauthier
This network shows the impact of papers produced by Marie‐Soleil Gauthier. 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 Marie‐Soleil Gauthier. The network helps show where Marie‐Soleil Gauthier may publish in the future.
Co-authorship network of co-authors of Marie‐Soleil Gauthier
This figure shows the co-authorship network connecting the top 25 collaborators of Marie‐Soleil Gauthier. A scholar is included among the top collaborators of Marie‐Soleil Gauthier 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 Marie‐Soleil Gauthier. Marie‐Soleil Gauthier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 10 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 22 | |
| 10 | 10 | |
| 11 | 18 | |
| 12 | 179 | |
| 13 | 32 | |
| 14 | 118 | |
| 15 | 212 | |
| 16 | 18 | |
| 17 | 115 | |
| 18 | 97 | |
| 19 | 34 | |
| 20 | 1 |
About Marie‐Soleil Gauthier
Marie‐Soleil Gauthier is a scholar working on Physiology, Biochemistry and Molecular Biology, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (9 papers), Adipose Tissue and Metabolism (9 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Physiology (722 citations), Endocrinology, Diabetes and Metabolism (332 citations) and Geriatrics and Gerontology (71 citations). Marie‐Soleil Gauthier has collaborated with scholars based in Canada, United States and Saudi Arabia. Frequent co-authors include Neil B. Ruderman, José M. Cacicedo, J.-M. Lavoie, Asish K. Saha, Karine Couturier, Jean-Marc Lavoie, Caroline M. Apovian, Noyan Gokce, X. Julia Xu and Jean-Gilles Latour. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.
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.