Marie‐Line Peyot

52 papers and 2.9k indexed citations i.

About

Marie‐Line Peyot is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Marie‐Line Peyot has authored 52 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Surgery, 22 papers in Molecular Biology and 21 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Marie‐Line Peyot’s work include Pancreatic Islet Dysfunction and Regeneration (33 papers), Adipose Tissue and Metabolism (19 papers) and Metabolism, Diabetes, and Cancer (16 papers). Marie‐Line Peyot is often cited by papers focused on Pancreatic Islet Dysfunction and Regeneration (33 papers), Adipose Tissue and Metabolism (19 papers) and Metabolism, Diabetes, and Cancer (16 papers). Marie‐Line Peyot collaborates with scholars based in Canada, United States and Australia. Marie‐Line Peyot's 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 Lawrence Rosenberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Co-authorship network of co-authors of Marie‐Line Peyot i

Fields of papers citing papers by Marie‐Line Peyot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Marie‐Line Peyot

Since Specialization
Citations

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).

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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