Jean‐Michel Petit

4.7k total citations
117 papers, 3.1k citations indexed

About

Jean‐Michel Petit is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery. According to data from OpenAlex, Jean‐Michel Petit has authored 117 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Endocrinology, Diabetes and Metabolism, 47 papers in Epidemiology and 30 papers in Surgery. Recurrent topics in Jean‐Michel Petit's work include Liver Disease Diagnosis and Treatment (31 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers) and Diabetes Treatment and Management (14 papers). Jean‐Michel Petit is often cited by papers focused on Liver Disease Diagnosis and Treatment (31 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers) and Diabetes Treatment and Management (14 papers). Jean‐Michel Petit collaborates with scholars based in France, United Kingdom and Belgium. Jean‐Michel Petit's co-authors include Bruno Vergès, Laurence Duvillard, Patrick Hillon, Benjamin Bouillet, Jean–Pierre Cercueil, Romaric Loffroy, Damien Denimal, Boris Guiu, Serge Aho and David Masson and has published in prestigious journals such as PLoS ONE, Hepatology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Jean‐Michel Petit

110 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean‐Michel Petit France 31 1.4k 1.2k 757 635 513 117 3.1k
Takaomi Kessoku Japan 28 1.9k 1.4× 769 0.7× 618 0.8× 935 1.5× 687 1.3× 126 3.1k
Teru Kumagi Japan 31 1.6k 1.1× 449 0.4× 920 1.2× 1.2k 2.0× 315 0.6× 181 3.2k
Rajarshi Banerjee United Kingdom 32 2.2k 1.6× 603 0.5× 515 0.7× 1.1k 1.8× 340 0.7× 99 4.1k
Ricki Bettencourt United States 36 4.0k 2.9× 1.5k 1.3× 622 0.8× 2.0k 3.1× 835 1.6× 77 5.0k
Kento Imajo Japan 40 4.2k 3.1× 1.5k 1.3× 821 1.1× 2.3k 3.7× 720 1.4× 142 5.1k
Heather Patton United States 24 2.9k 2.1× 575 0.5× 731 1.0× 2.3k 3.6× 223 0.4× 55 3.8k
Minoru Yamakado Japan 33 927 0.7× 619 0.5× 358 0.5× 223 0.4× 960 1.9× 128 3.5k
P. Michielsen Belgium 34 2.1k 1.6× 392 0.3× 662 0.9× 1.5k 2.4× 472 0.9× 219 4.0k
Anna Licata Italy 35 2.0k 1.5× 348 0.3× 743 1.0× 1.6k 2.6× 386 0.8× 159 4.1k
Antonio Picardi Italy 28 1.1k 0.8× 556 0.5× 452 0.6× 642 1.0× 348 0.7× 133 2.5k

Countries citing papers authored by Jean‐Michel Petit

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Michel Petit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Michel Petit. 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 Jean‐Michel Petit. The network helps show where Jean‐Michel Petit may publish in the future.

Co-authorship network of co-authors of Jean‐Michel Petit

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Michel Petit. A scholar is included among the top collaborators of Jean‐Michel Petit 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 Jean‐Michel Petit. Jean‐Michel Petit 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.
Petit, Jean‐Michel, et al.. (2023). NAFLD et NASH au cours du diabète : données épidémiologiques, cliniques et pronostiques. Médecine des Maladies Métaboliques. 17(3). 248–252.
3.
Chauvet‐Gélinier, Jean‐Christophe, Adrien Roussot, Bruno Vergès, et al.. (2022). Hospitalizations for Anorexia Nervosa during the COVID-19 Pandemic in France: A Nationwide Population-Based Study. Journal of Clinical Medicine. 11(16). 4787–4787. 10 indexed citations
5.
Vergès, Bruno, Alexia Rouland, Benjamin Bouillet, et al.. (2021). Liraglutide reduces plasma PCSK9 in patients with type 2 diabetes not treated with statins. Diabetes & Metabolism. 48(2). 101284–101284. 7 indexed citations
6.
Vergès, Bruno, Jean‐Michel Petit, Isabelle Simoneau, et al.. (2021). Fewer Type A personality traits in type 2 diabetes patients with diabetic foot ulcer. Diabetes & Metabolism. 47(6). 101245–101245. 4 indexed citations
7.
Vergès, Bruno, Laurence Duvillard, Jean-Paul Paı̈s de Barros, et al.. (2021). Liraglutide Increases the Catabolism of Apolipoprotein B100–Containing Lipoproteins in Patients With Type 2 Diabetes and Reduces Proprotein Convertase Subtilisin/Kexin Type 9 Expression. Diabetes Care. 44(4). 1027–1037. 32 indexed citations
8.
Rouland, Alexia, et al.. (2021). Successful Control of Hypoglycemia with Pasireotide LAR in a Patient with Inappropriate Insulin Secretion. Clinical Pharmacology Advances and Applications. Volume 13. 33–37. 3 indexed citations
9.
Goueslard, Karine, Fabrice Jollant, Jean‐Michel Petit, & Catherine Quantin. (2021). Self-harm hospitalization following bariatric surgery in adolescents and young adults. Clinical Nutrition. 41(1). 238–245. 6 indexed citations
10.
Chauvet‐Gélinier, Jean‐Christophe, Adrien Roussot, Jonathan Cottenet, et al.. (2019). Depression and obesity, data from a national administrative database study: Geographic evidence for an epidemiological overlap. PLoS ONE. 14(1). e0210507–e0210507. 29 indexed citations
11.
Bouillet, Benjamin, Thomas Gautier, Béatrice Terriat, et al.. (2019). CETP activity is not associated with carotid intima-media thickness in patients with poorly controlled type 2 diabetes. Acta Diabetologica. 56(7). 749–754. 3 indexed citations
12.
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
14.
Bouillet, Benjamin, Thomas Gautier, Serge Aho, et al.. (2016). Plasma apolipoprotein C1 concentration is associated with plasma triglyceride concentration, but not visceral fat, in patients with type 2 diabetes. Diabetes & Metabolism. 42(4). 263–266. 13 indexed citations
15.
Denimal, Damien, Jean-Paul Paı̈s de Barros, Jean‐Michel Petit, et al.. (2015). Significant abnormalities of the HDL phosphosphingolipidome in type 1 diabetes despite normal HDL cholesterol concentration. Atherosclerosis. 241(2). 752–760. 48 indexed citations
16.
Hillon, Patrick, Boris Guiu, Jean‐Didier Vincent, & Jean‐Michel Petit. (2010). Obesity, type 2 diabetes and risk of digestive cancer. Gastroentérologie Clinique et Biologique. 34(10). 529–533. 32 indexed citations
17.
Duvillard, Laurence, Guillaume Dautin, E Florentin, et al.. (2009). Increased Apolipoprotein AI Production Rate and Redistribution of High-Density Lipoprotein Size Induced by Estrogen plus Progestin as Oral Contraceptive. The Journal of Clinical Endocrinology & Metabolism. 94(12). 4891–4897. 9 indexed citations
19.
Losay, J, et al.. (1981). [Diagnosis and localization of ventricular septal defects by two-dimensional echocardiography. 50 cases].. PubMed. 74(9). 1001–9. 1 indexed citations
20.
Marcelle, R & Jean‐Michel Petit. (1965). Effets des aérosols d’acétylcholine, d’atropine et de dibenzheptropine sur les résistances dynamiques pulmonaires de sujets sains. International Archives of Allergy and Immunology. 26(2). 105–112. 2 indexed citations

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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