Marie‐Line Peyot
- Surgery top 2%
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 1%
- Physiology top 5%
- Genetics top 5%
- Co-authors
- Marc PrentkiChristopher J. NolanÉrik JolyViviane Delghingaro‐AugustoS.R. Murthy MadirajuMurthy S.R. MadirajuJulien LamontagneRaphaël Roduit
- Topics
- Pancreatic function and diabetes (33 papers)Adipose Tissue and Metabolism (20 papers)Diet, Metabolism, and Disease (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Marie‐Line Peyot
52 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 116
- Surgery 1.6k
- Molecular Biology 1.3k
- Endocrinology, Diabetes and Metabolism 872
- Physiology 773
- Genetics 476
Countries citing papers authored by Marie‐Line Peyot
This map shows the geographic impact of Marie‐Line Peyot'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‐Line Peyot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie‐Line Peyot more than expected).
Fields of papers citing papers by Marie‐Line Peyot
This network shows the impact of papers produced by Marie‐Line Peyot. 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‐Line Peyot. The network helps show where Marie‐Line Peyot may publish in the future.
Co-authorship network of co-authors of Marie‐Line Peyot
This figure shows the co-authorship network connecting the top 25 collaborators of Marie‐Line Peyot. A scholar is included among the top collaborators of Marie‐Line Peyot 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‐Line Peyot. Marie‐Line Peyot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 12 | |
| 7 | 26 | |
| 8 | 27 | |
| 9 | 30 | |
| 10 | 51 | |
| 11 | 47 | |
| 12 | 43 | |
| 13 | 25 | |
| 14 | 22 | |
| 15 | 66 | |
| 16 | 127 | |
| 17 | 201 | |
| 18 | 135 | |
| 19 | 46 | |
| 20 | 51 |
About Marie‐Line Peyot
Marie‐Line Peyot is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Physiology, having authored 53 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (33 papers), Adipose Tissue and Metabolism (20 papers) and Diet, Metabolism, and Disease (16 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (872 citations), Biochemistry (290 citations) and Surgery (1.6k citations). Marie‐Line Peyot has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Marc Prentki, Christopher J. Nolan, Érik Joly, Viviane Delghingaro‐Augusto, S.R. Murthy Madiraju, Murthy S.R. Madiraju, Julien Lamontagne, Raphaël Roduit, Marc Prentki and Serge Hardy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.