Cédric Le May

5.1k total citations
97 papers, 3.9k citations indexed

About

Cédric Le May is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Cédric Le May has authored 97 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Surgery, 35 papers in Molecular Biology and 22 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Cédric Le May's work include Lipoproteins and Cardiovascular Health (37 papers), Cholesterol and Lipid Metabolism (14 papers) and Metabolism, Diabetes, and Cancer (11 papers). Cédric Le May is often cited by papers focused on Lipoproteins and Cardiovascular Health (37 papers), Cholesterol and Lipid Metabolism (14 papers) and Metabolism, Diabetes, and Cancer (11 papers). Cédric Le May collaborates with scholars based in France, United States and Canada. Cédric Le May's co-authors include Bertrand Cariou, Philippe Costet, Jean‐François Louet, Franck Mauvais‐Jarvis, Kenneth S. Korach, Michel Krempf, Cédric Langhi, Jean Girard, Evan R. Simpson and Min Hu 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

Cédric Le May

89 papers receiving 3.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cédric Le May France 33 2.0k 1.3k 1.0k 632 541 97 3.9k
Anath Shalev United States 36 1.6k 0.8× 2.7k 2.1× 817 0.8× 752 1.2× 826 1.5× 76 4.7k
In Kyu Lee South Korea 27 766 0.4× 1.3k 1.0× 680 0.7× 434 0.7× 476 0.9× 77 3.1k
Giulia Chiesa Italy 35 2.1k 1.1× 1.5k 1.2× 1.1k 1.1× 406 0.6× 302 0.6× 114 4.5k
Tomomi Fujisawa Japan 33 867 0.4× 1.0k 0.8× 986 1.0× 1.1k 1.7× 628 1.2× 169 3.9k
Marianne Böni‐Schnetzler Switzerland 38 1.5k 0.7× 1.6k 1.2× 1.4k 1.4× 1.1k 1.7× 816 1.5× 66 4.3k
Kimberly D. Kluckman United States 15 1.3k 0.7× 1.7k 1.3× 493 0.5× 771 1.2× 396 0.7× 17 4.5k
Akimitsu Takahashi Japan 31 1.4k 0.7× 1.7k 1.3× 623 0.6× 223 0.4× 647 1.2× 46 3.5k
Hadi Al‐Hasani Germany 38 959 0.5× 2.2k 1.7× 551 0.5× 486 0.8× 1.2k 2.2× 138 4.2k
Lisa R. Tannock United States 32 1.1k 0.5× 1.3k 0.9× 841 0.8× 235 0.4× 279 0.5× 81 3.4k
Jean-Paul Paı̈s de Barros France 34 983 0.5× 1.7k 1.3× 774 0.8× 197 0.3× 456 0.8× 123 3.7k

Countries citing papers authored by Cédric Le May

Since Specialization
Citations

This map shows the geographic impact of Cédric Le May'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 Cédric Le May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cédric Le May more than expected).

Fields of papers citing papers by Cédric Le May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cédric Le May. 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 Cédric Le May. The network helps show where Cédric Le May may publish in the future.

Co-authorship network of co-authors of Cédric Le May

This figure shows the co-authorship network connecting the top 25 collaborators of Cédric Le May. A scholar is included among the top collaborators of Cédric Le May 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 Cédric Le May. Cédric Le May is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Wargny, Matthieu, Mikaël Croyal, Cédric Le May, et al.. (2025). Lp(a) concentration and polymorphic size are not associated with new onset diabetes in individuals with prediabetes. Diabetes & Metabolism. 51(2). 101621–101621.
4.
May, Cédric Le, Simon Ducheix, Bertrand Cariou, & Antoine Rimbert. (2025). From Genetic Findings to new Intestinal Molecular Targets in Lipid Metabolism. Current Atherosclerosis Reports. 27(1). 26–26. 2 indexed citations
5.
Ayer, Audrey, Mikaël Croyal, Laurent Flet, et al.. (2024). PCSK9 inhibition protects mice from food allergy. Translational research. 272. 151–161.
6.
Wargny, Matthieu, Thomas Goronflot, Antoine Rimbert, et al.. (2024). Primary hypocholesterolemia is associated with an increased risk of hepatic complications in the general population. Journal of Hepatology. 80(6). 846–857. 3 indexed citations
7.
Ayer, Audrey, Stéphanie Billon‐Crossouard, Mikaël Croyal, et al.. (2023). Single‐anastomosis duodeno‐ileal bypass with sleeve gastrectomy improves lipid and glucose homeostasis in ob/ob mice. Obesity. 32(1). 91–106. 2 indexed citations
8.
Ayer, Audrey, et al.. (2023). Single-Anastomosis Duodeno-Ileal Bypass with Sleeve Gastrectomy Model in Mice. Journal of Visualized Experiments. 1 indexed citations
9.
May, Cédric Le, Mikaël Croyal, Edith Bigot‐Corbel, et al.. (2022). Effect of Parathyroidectomy on Metabolic Homeostasis in Primary Hyperparathyroidism. Journal of Clinical Medicine. 11(5). 1373–1373. 9 indexed citations
10.
Croyal, Mikaël, Matthieu Wargny, Kévin Chemello, et al.. (2022). Plasma apolipoprotein concentrations and incident diabetes in subjects with prediabetes. Cardiovascular Diabetology. 21(1). 21–21. 16 indexed citations
11.
Moreau, F., Aurélie Thedrez, Audrey Ayer, et al.. (2021). PCSK9 is not secreted from mature differentiated intestinal cells. Journal of Lipid Research. 62. 100096–100096. 6 indexed citations
12.
Ramin‐Mangata, Stéphane, Aurélie Thedrez, Brice Nativel, et al.. (2021). Effects of proprotein convertase subtilisin kexin type 9 modulation in human pancreatic beta cells function. Atherosclerosis. 326. 47–55. 20 indexed citations
13.
Cariou, Bertrand, Thomas Goronflot, Antoine Rimbert, et al.. (2020). Routine use of statins and increased COVID-19 related mortality in inpatients with type 2 diabetes: Results from the CORONADO study. Diabetes & Metabolism. 47(2). 101202–101202. 60 indexed citations
14.
Cariou, Bertrand, Thomas Goronflot, Antoine Rimbert, et al.. (2020). Routine use of statins and increased mortality related to COVID-19 in inpatients with type 2 diabetes: Results from the CORONADO study.. Diabetes & Metabolism. 101202. 10 indexed citations
15.
Ramin‐Mangata, Stéphane, Matthieu Wargny, Matthieu Pichelin, et al.. (2019). Circulating PCSK9 levels are not associated with the conversion to type 2 diabetes. Atherosclerosis. 293. 49–56. 17 indexed citations
16.
Wargny, Matthieu, Pierre‐Henri Ducluzeau, Jean‐Michel Petit, et al.. (2018). Circulating PCSK9 levels are not associated with the severity of hepatic steatosis and NASH in a high-risk population. Atherosclerosis. 278. 82–90. 32 indexed citations
17.
Mauvais‐Jarvis, Franck, et al.. (2017). The Role of Estrogens in Pancreatic Islet Physiopathology. Advances in experimental medicine and biology. 1043. 385–399. 27 indexed citations
18.
Wong, Winifred P.S., Joseph P. Tiano, Sylvia C. Hewitt, et al.. (2010). Extranuclear estrogen receptor-α stimulates NeuroD1 binding to the insulin promoter and favors insulin synthesis. Proceedings of the National Academy of Sciences. 107(29). 13057–13062. 106 indexed citations
19.
May, Cédric Le. (2008). La Droite Intellectuelle Québécoise et la Révolution Tranquille. British Journal of Canadian Studies. 21(1). 134. 4 indexed citations
20.
May, Cédric Le. (2008). Augustino and the Choir of Destruction. British Journal of Canadian Studies. 21(2). 319.

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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