Marie-Claude Monnot

707 total citations
10 papers, 593 citations indexed

About

Marie-Claude Monnot is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Marie-Claude Monnot has authored 10 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Marie-Claude Monnot's work include Peroxisome Proliferator-Activated Receptors (5 papers), Drug Transport and Resistance Mechanisms (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). Marie-Claude Monnot is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (5 papers), Drug Transport and Resistance Mechanisms (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). Marie-Claude Monnot collaborates with scholars based in France, United States and Netherlands. Marie-Claude Monnot's co-authors include Philippe Besnard, Isabelle Niot, Thierry Pineau, Hélène Poirier, Valérie Petit, H. Poirier, Pascal Degrace, Walter Wahli, Timothy M. Willson and Olivier Braissant and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Journal of Nutrition.

In The Last Decade

Marie-Claude Monnot

10 papers receiving 587 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marie-Claude Monnot France 8 337 181 152 133 97 10 593
Victor A. Drover United States 12 406 1.2× 220 1.2× 301 2.0× 93 0.7× 175 1.8× 14 838
Jane R. Evans United States 8 260 0.8× 83 0.5× 141 0.9× 76 0.6× 81 0.8× 9 524
Jeltje R. Goudriaan Netherlands 7 242 0.7× 165 0.9× 113 0.7× 42 0.3× 40 0.4× 9 518
H. Carlier France 13 201 0.6× 152 0.8× 111 0.7× 229 1.7× 94 1.0× 42 540
Subha Arthur United States 14 235 0.7× 96 0.5× 95 0.6× 82 0.6× 58 0.6× 47 477
T Tange Japan 6 240 0.7× 216 1.2× 99 0.7× 375 2.8× 51 0.5× 13 637
Céline Gaudel France 12 441 1.3× 284 1.6× 84 0.6× 59 0.4× 30 0.3× 14 661
Véronique Touche France 10 333 1.0× 117 0.6× 270 1.8× 47 0.4× 132 1.4× 14 576
Alli M. Nuotio-Antar United States 11 145 0.4× 162 0.9× 138 0.9× 60 0.5× 37 0.4× 15 539
Mark Bouwens Netherlands 7 177 0.5× 190 1.0× 64 0.4× 200 1.5× 31 0.3× 9 537

Countries citing papers authored by Marie-Claude Monnot

Since Specialization
Citations

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

Fields of papers citing papers by Marie-Claude Monnot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie-Claude Monnot. 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-Claude Monnot. The network helps show where Marie-Claude Monnot may publish in the future.

Co-authorship network of co-authors of Marie-Claude Monnot

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

All Works

10 of 10 papers shown
1.
Tran, Thi Thu Trang, Hélène Poirier, Lionel C. Clément, et al.. (2011). Luminal Lipid Regulates CD36 Levels and Downstream Signaling to Stimulate Chylomicron Synthesis. Journal of Biological Chemistry. 286(28). 25201–25210. 109 indexed citations
2.
Zabala‐Letona, Amaia, Isabelle Niot, Fabienne Laugerette, et al.. (2011). CLA-Enriched Diet Containing t10,c12- CLA Alters Bile Acid Homeostasis and Increases the Risk of Cholelithiasis in Mice. Journal of Nutrition. 141(8). 1437–1444. 7 indexed citations
3.
Poirier, H., Fatiha Nassir, Valérie Petit, et al.. (2010). CD36 Displays Features of a Lipid-Sensor Involved in Chylomicron Processing in the Rodent Small Intestine. Atherosclerosis Supplements. 11(1). 82–83. 1 indexed citations
4.
Petit, Valérie, Laurent Arnould, Pascal G.P. Martin, et al.. (2006). Chronic high-fat diet affects intestinal fat absorption and postprandial triglyceride levels in the mouse. Journal of Lipid Research. 48(2). 278–287. 117 indexed citations
5.
6.
Zaghini, Isabelle, Jean‐François Landrier, Jacques Grober, et al.. (2002). Sterol Regulatory Element-binding Protein-1c Is Responsible for Cholesterol Regulation of Ileal Bile Acid-binding Protein Gene in Vivo. Journal of Biological Chemistry. 277(2). 1324–1331. 29 indexed citations
9.
Poirier, H., Isabelle Niot, Pascal Degrace, et al.. (1997). Fatty acid regulation of fatty acid-binding protein expression in the small intestine. American Journal of Physiology-Gastrointestinal and Liver Physiology. 273(2). G289–G295. 63 indexed citations
10.
Bernard, A, et al.. (1989). Effect of calcium and magnesium ions on the intestinal absorption of oleic acid in vitro. annales de biologie animale biochimie biophysique. 29(1). 63–73. 5 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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