Marc Prentki

19.4k total citations · 5 hit papers
127 papers, 15.3k citations indexed

About

Marc Prentki is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Marc Prentki has authored 127 papers receiving a total of 15.3k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Surgery, 72 papers in Molecular Biology and 52 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Marc Prentki's work include Pancreatic function and diabetes (114 papers), Metabolism, Diabetes, and Cancer (57 papers) and Diet, Metabolism, and Disease (32 papers). Marc Prentki is often cited by papers focused on Pancreatic function and diabetes (114 papers), Metabolism, Diabetes, and Cancer (57 papers) and Diet, Metabolism, and Disease (32 papers). Marc Prentki collaborates with scholars based in Canada, United States and Switzerland. Marc Prentki's co-authors include Barbara E. Corkey, Christopher J. Nolan, Érik Joly, S.R. Murthy Madiraju, Jean Buteau, Raphaël Roduit, Jude T. Deeney, Franz M. Matschinsky, Neil B. Ruderman and Marie‐Line Peyot and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Marc Prentki

126 papers receiving 14.9k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Islet cell failure in type 2 diabetes

2006 1.3k citations Marc Prentki Journal of Clinical Investigation profile →
Isolation of INS-1-derived cell lines with robust ATP-sensitive K+ channel-dependent and -independent glucose-stimulated insulin secretion.

2000 760 citations Marc Prentki, Christopher B. Newgard et al. Diabetes profile →
AMPK, insulin resistance, and the metabolic syndrome

2013 695 citations Neil B. Ruderman, David Carling et al. Journal of Clinical Investigation profile →
Type 2 diabetes across generations: from pathophysiology to prevention and management

2011 680 citations Christopher J. Nolan, Marc Prentki et al. profile →
Metabolic Signaling in Fuel-Induced Insulin Secretion

2013 426 citations Marc Prentki, S.R. Murthy Madiraju et al. Cell Metabolism profile →

Peers

Countries citing papers authored by Marc Prentki

Since Specialization

Citations

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

Fields of papers citing papers by Marc Prentki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc Prentki. 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 Marc Prentki. The network helps show where Marc Prentki may publish in the future.

Co-authorship network of co-authors of Marc Prentki

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Suppression of adipocyte ABHD6 favors anti-inflammatory and adipogenic programs to preserve adipose tissue fitness in obesity 2025 ·Molecular Metabolism ·Pegah Poursharifi, Camille Attané, Isabelle Chénier, (unknown), Roxane Lussier, Anfal Al‐Mass, (unknown), (unknown), (unknown), Nicolas Flamand, Mohamed Abu‐Farha, Jehad Abubaker, (unknown), Ying Bai, Dongwei Zhang, Marie‐Line Peyot, André Tchernof, S.R. Murthy Madiraju, Marc Prentki	0
2	Dietary citrate acutely induces insulin resistance and markers of liver inflammation in mice 2021 ·The Journal of Nutritional Biochemistry ·(unknown), (unknown), (unknown), (unknown), (unknown), André Marette, (unknown), Manuella Lanzetti, Marie‐Line Peyot, (unknown), Marc Prentki, Patrícia Zancan, Mauro Sola‐Penna	12
3	Identification of the signals for glucose-induced insulin secretion in INS1 (832/13) β-cells using metformin-induced metabolic deceleration as a model 2017 ·Journal of Biological Chemistry ·Julien Lamontagne, Anfal Al‐Mass, Christopher J. Nolan, Barbara E. Corkey, S.R. Murthy Madiraju, Érik Joly, Marc Prentki	19
4	Metabolic fate of glucose and candidate signaling and excess-fuel detoxification pathways in pancreatic β-cells 2017 ·Journal of Biological Chemistry ·Yves Mugabo, Shangang Zhao, Julien Lamontagne, Anfal Al‐Mass, Marie‐Line Peyot, Barbara E. Corkey, Érik Joly, S.R. Murthy Madiraju, Marc Prentki	47
5	A beta cell ATGL-lipolysis/adipose tissue axis controls energy homeostasis and body weight via insulin secretion in mice 2016 ·Diabetologia ·Camille Attané, Marie‐Line Peyot, Roxane Lussier, Pegah Poursharifi, Shangang Zhao, Dongwei Zhang, (unknown), Marco Pineda, Shupei Wang, Olivier Dumortier, Neil B. Ruderman, Grant A. Mitchell, Brigitte Simons, S.R. Murthy Madiraju, Érik Joly, Marc Prentki	43
6	Differential Insulin Secretion of High-Fat Diet-Fed C57BL/6NN and C57BL/6NJ Mice: Implications of Mixed Genetic Background in Metabolic Studies 2016 ·PLoS ONE ·Camille Attané, Marie‐Line Peyot, Roxane Lussier, Dongwei Zhang, Érik Joly, S.R. Murthy Madiraju, Marc Prentki	25
7	α/β-Hydrolase Domain-6-Accessible Monoacylglycerol Controls Glucose-Stimulated Insulin Secretion 2014 ·Cell Metabolism ·Shangang Zhao, Yves Mugabo, José Iglesias, Li Xie, Viviane Delghingaro‐Augusto, Roxane Lussier, Marie‐Line Peyot, Érik Joly, Bouchra Taïb, Matthew A. Davis, (unknown), Abdelkarim Abousalham, Herbert Y. Gaisano, S.R. Murthy Madiraju, Marc Prentki	127
8	Metabolic Inflexibility Impairs Insulin Secretion and Results In MODY-like Diabetes in Triple FoxO-Deficient Mice 2014 ·Cell Metabolism ·Ja Young Kim-Muller, Shangang Zhao, Shekhar Srivastava, Yves Mugabo, Hye Lim Noh, Young‐Jung Kim, S.R. Murthy Madiraju, Anthony W. Ferrante, Edward Y. Skolnik, Marc Prentki, Domenico Accili	81
9	AMPK, insulin resistance, and the metabolic syndrome breakdown → 2013 ·Journal of Clinical Investigation ·Neil B. Ruderman, David Carling, Marc Prentki, José M. Cacicedo	695
10	PPARβ/δ affects pancreatic β cell mass and insulin secretion in mice 2012 ·Journal of Clinical Investigation ·José Iglesias, Sebastian Barg, David Vallois, Shawon Lahiri, (unknown), Akadiri Yessoufou, (unknown), Angela McDonald, Claire Bonal, Frank Reimann, Fiona M. Gribble, Marie-Bernard Debril, Daniel Metzger, Pierre Chambon, Pedro L. Herrera, Guy A. Rutter, Marc Prentki, Bernard Thorens, Walter Wahli	45
11	Glucolipotoxicity age-dependently impairs beta cell function in rats despite a marked increase in beta cell mass 2010 ·Diabetologia ·Ghislaine Fontès, Bader Zarrouki, Derek Hagman, Martin G. Latour, Meriem Semache, Violet Roskens, Patrick C. Moore, Marc Prentki, Christopher J. Rhodes, Thomas L. Jetton, Vincent Poitout	86
12	Islet beta cell failure in the 60% pancreatectomised obese hyperlipidaemic Zucker fatty rat: severe dysfunction with altered glycerolipid metabolism without steatosis or a falling beta cell mass 2009 ·Diabetologia ·Viviane Delghingaro‐Augusto, Christopher J. Nolan, Dhananjay Gupta, Thomas L. Jetton, Martin G. Latour, Mina Peshavaria, S.R. Murthy Madiraju, (unknown), Marie‐Line Peyot, Marc Prentki, Jack L. Leahy	46
13	Islet cell failure in type 2 diabetes breakdown → 2006 ·Journal of Clinical Investigation ·Marc Prentki	1321
14	Glucagon-like peptide-1 prevents beta cell glucolipotoxicity 2004 ·Diabetologia ·Erik C. Joly, Marc Prentki, (unknown), Wissal El-Assaad, Christopher J. Rhodes, Lynn Rosenberg	280
15	Hormone sensitive lipase is essential for glucose stimulated insulin secretion 2001 ·Diabetes ·Marc Prentki, (unknown), Raphaël Roduit, (unknown), (unknown), Pellegrino Masiello	1
16	Metabolic control of -cell function 2000 ·Seminars in Cell and Developmental Biology ·Jude T. Deeney, Marc Prentki, Barbara E. Corkey	120
17	Glucose Down-regulates the Expression of the Peroxisome Proliferator-activated Receptor-α Gene in the Pancreatic β-Cell 2000 ·Journal of Biological Chemistry ·Raphaël Roduit, (unknown), Frédéric Massé, Laura Segall, Enrique Roche, Christopher B. Newgard, Françoise Assimacopoulos‐Jeannet, Marc Prentki	138
18	Glucagon-like peptide-1 promotes DNA synthesis, activates phosphatidylinositol 3-kinase and increases transcription factor pancreatic and duodenal homeobox gene 1 (PDX-1) DNA binding activity in beta (INS-1)-cells 1999 ·Diabetologia ·Jean Buteau, Raphaël Roduit, (unknown), Marc Prentki	342
19	Molecular or Pharmacologic Perturbation of the Link between Glucose and Lipid Metabolism Is without Effect on Glucose-stimulated Insulin Secretion 1998 ·Journal of Biological Chemistry ·Peter A. Antinozzi, Laura Segall, Marc Prentki, Julie McGarry, Christopher B. Newgard	126
20	Inositol 1,4,5-trisphosphate mobilizes intracellular Ca2+ from permeabilized insulin-secreting cells 1984 ·Biochemical Journal ·Trevor J. Biden, Marc Prentki, Robin F. Irvine, M J Berridge, Claes B. Wollheim	172

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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