T. Magot

1.3k total citations
55 papers, 1.1k citations indexed

About

T. Magot is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, T. Magot has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 25 papers in Endocrinology, Diabetes and Metabolism and 17 papers in Molecular Biology. Recurrent topics in T. Magot's work include Lipoproteins and Cardiovascular Health (19 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers) and Cholesterol and Lipid Metabolism (18 papers). T. Magot is often cited by papers focused on Lipoproteins and Cardiovascular Health (19 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers) and Cholesterol and Lipid Metabolism (18 papers). T. Magot collaborates with scholars based in France, Belgium and Switzerland. T. Magot's co-authors include Khadija Ouguerram, Michel Krempf, Patrick Nguyen, Cyrille Maugeais, Yassine Zaïr, Claude L. Malmendier, F Chevallier, R. Frénais, Maud Chétiveaux and C. Lutton and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Hepatology.

In The Last Decade

T. Magot

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Magot France 17 590 424 306 214 188 55 1.1k
Christian Lallemant France 21 703 1.2× 730 1.7× 417 1.4× 253 1.2× 156 0.8× 43 1.4k
Annie M. Bérard France 18 645 1.1× 428 1.0× 444 1.5× 206 1.0× 149 0.8× 45 1.4k
Yassine Zaïr France 20 762 1.3× 487 1.1× 445 1.5× 202 0.9× 373 2.0× 34 1.5k
L.M. Scheek Netherlands 19 359 0.6× 429 1.0× 232 0.8× 129 0.6× 147 0.8× 24 887
Yoshisuke Maruhama Japan 12 585 1.0× 583 1.4× 248 0.8× 166 0.8× 132 0.7× 52 1.1k
Bernhard Föger Austria 22 784 1.3× 750 1.8× 377 1.2× 202 0.9× 206 1.1× 52 1.6k
Miek C. Jong Netherlands 15 451 0.8× 462 1.1× 477 1.6× 208 1.0× 254 1.4× 17 1.3k
S. Martini Italy 14 449 0.8× 297 0.7× 162 0.5× 146 0.7× 122 0.6× 27 912
Claude L. Malmendier Belgium 18 432 0.7× 380 0.9× 303 1.0× 138 0.6× 143 0.8× 69 976
Natalie Fournier France 23 862 1.5× 568 1.3× 424 1.4× 241 1.1× 166 0.9× 53 1.5k

Countries citing papers authored by T. Magot

Since Specialization
Citations

This map shows the geographic impact of T. Magot'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 T. Magot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Magot more than expected).

Fields of papers citing papers by T. Magot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Magot

This figure shows the co-authorship network connecting the top 25 collaborators of T. Magot. A scholar is included among the top collaborators of T. Magot 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 T. Magot. T. Magot 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
1.
Leray, Véronique, Hassan Nazih, Olivier Gauthier, et al.. (2015). Nicotinic Acid Accelerates HDL Cholesteryl Ester Turnover in Obese Insulin-Resistant Dogs. PLoS ONE. 10(9). e0136934–e0136934. 3 indexed citations
2.
3.
Serisier, Samuel, Constance Gayet, Véronique Leray, et al.. (2008). Hypertriglyceridaemic insulin‐resistant obese dog model: effects of high‐fat diet depending on age. Journal of Animal Physiology and Animal Nutrition. 92(4). 419–425. 13 indexed citations
4.
Serisier, Samuel, et al.. (2007). Effects of green tea on insulin sensitivity, lipid profile and expression of PPARα and PPARγ and their target genes in obese dogs. British Journal Of Nutrition. 99(6). 1208–1216. 70 indexed citations
5.
Serisier, Samuel, Michel Krempf, Brigitte Siliart, et al.. (2006). Atorvastatin Increases Intestinal Cholesterol Absorption in Dogs. Journal of Nutrition. 136(7). 2034S–2036S. 6 indexed citations
6.
Serisier, Samuel, et al.. (2006). Fenofibrate Lowers Lipid Parameters in Obese Dogs. Journal of Nutrition. 136(7). 2037S–2040S. 10 indexed citations
7.
Briand, François, T. Magot, Michel Krempf, Patrick Nguyen, & Khadija Ouguerram. (2006). Effects of atorvastatin on high‐density lipoprotein apolipoprotein A‐I metabolism in dogs. European Journal of Clinical Investigation. 36(4). 224–230. 14 indexed citations
8.
Briand, François, et al.. (2004). Metabolism of cholesterol ester of apolipoprotein B100‐containing lipoproteins in dogs: evidence for disregarding cholesterol ester transfer. European Journal of Clinical Investigation. 34(8). 527–534. 10 indexed citations
9.
Ouguerram, Khadija, Patrick Nguyen, Michel Krempf, et al.. (2004). Selective uptake of high density lipoproteins cholesteryl ester in the dog, a species lacking in cholesteryl ester transfer protein activity. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 138(4). 339–345. 11 indexed citations
10.
Nguyen, Patrick, et al.. (2003). Lipoproteins abnormalities in obese insulin-resistant dogs. Metabolism. 52(5). 559–564. 59 indexed citations
11.
Ouguerram, Khadija, T. Magot, Yassine Zaïr, et al.. (2003). Effect of Atorvastatin on Apolipoprotein B100 Containing Lipoprotein Metabolism in Type-2 Diabetes. Journal of Pharmacology and Experimental Therapeutics. 306(1). 332–337. 37 indexed citations
12.
Ouguerram, Khadija, et al.. (2002). A new labeling approach using stable isotopes to study in vivo plasma cholesterol metabolism in humans. Metabolism. 51(1). 5–11. 38 indexed citations
13.
Frénais, R., Hassan Nazih, Khadija Ouguerram, et al.. (2001). In VivoEvidence for the Role of Lipoprotein Lipase Activity in the Regulation of Apolipoprotein AI Metabolism: A Kinetic Study in Control Subjects and Patients with Type II Diabetes Mellitus1. The Journal of Clinical Endocrinology & Metabolism. 86(5). 1962–1967. 37 indexed citations
14.
Ouguerram, Khadija, T. Magot, & C. Lutton. (1996). Metabolism of plasma lipoproteins in the genetically hypercholesterolemic rat (RICO). Metabolism. 45(1). 4–11. 5 indexed citations
15.
Poupon, Renée E., Khadija Ouguerram, Yves Chrétien, et al.. (1993). Cholesterol-lowering effect of ursodeoxycholic acid in patients with primary biliary cirrhosis. Hepatology. 17(4). 577–582. 58 indexed citations
16.
Magot, T., et al.. (1992). Metabolism of intestinal triglyceride-rich lipoproteins in the genetically hypercholesterolemic rat (RICO). Atherosclerosis. 93(3). 201–208. 5 indexed citations
17.
Magot, T., et al.. (1991). In vivo effect of simvastatin on lipoprotein cholesteryl ester metabolism in normocholesterolemic volunteers. Clinica Chimica Acta. 196(1). 59–68. 9 indexed citations
18.
Lutton, C., Khadija Ouguerram, M. Sauvage, & T. Magot. (1990). Turnover of [14C] sucrose HDL and uptake by organs in the normal or genetically hypercholesterolemic (RICO) rat using a constant infusion method. annales de biologie animale biochimie biophysique. 30(1). 97–101. 5 indexed citations
19.
Lutton, C., et al.. (1990). Critical analysis of the use of 14C-acetate for measuring in vivo rat cholesterol synthesis. annales de biologie animale biochimie biophysique. 30(1). 71–84. 18 indexed citations
20.

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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