Jean‐Paul Riou

1.4k total citations
21 papers, 962 citations indexed

About

Jean‐Paul Riou is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Jean‐Paul Riou has authored 21 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Surgery. Recurrent topics in Jean‐Paul Riou's work include Metabolism, Diabetes, and Cancer (7 papers), Glycogen Storage Diseases and Myoclonus (4 papers) and Diet and metabolism studies (4 papers). Jean‐Paul Riou is often cited by papers focused on Metabolism, Diabetes, and Cancer (7 papers), Glycogen Storage Diseases and Myoclonus (4 papers) and Diet and metabolism studies (4 papers). Jean‐Paul Riou collaborates with scholars based in France, Switzerland and United States. Jean‐Paul Riou's co-authors include Martine Laville, Hubert Vidal, Fabrizio Andréelli, Nathalie Véga, Pierre‐Henri Ducluzeau, Karim Bouzakri, Marina Roques, Fitsum Guebre‐Egziabher, Philippe Gual and Y. Le Marchand‐Brustel and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and European Journal of Biochemistry.

In The Last Decade

Jean‐Paul Riou

21 papers receiving 938 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‐Paul Riou France 12 534 403 213 185 176 21 962
Erlo Lutz United States 6 478 0.9× 468 1.2× 292 1.4× 198 1.1× 287 1.6× 9 1.1k
Gemma L. MacIntosh Australia 6 474 0.9× 219 0.5× 149 0.7× 188 1.0× 207 1.2× 6 827
N. Moustaïd United States 16 507 0.9× 538 1.3× 237 1.1× 187 1.0× 300 1.7× 20 1.3k
Kelly R. Dietz United States 9 711 1.3× 447 1.1× 195 0.9× 221 1.2× 502 2.9× 25 1.3k
Angelica M. Ortegon United States 8 568 1.1× 331 0.8× 144 0.7× 114 0.6× 292 1.7× 8 1.0k
David Hauton United Kingdom 15 351 0.7× 238 0.6× 144 0.7× 105 0.6× 143 0.8× 33 853
Leela Goodspeed United States 16 318 0.6× 287 0.7× 167 0.8× 180 1.0× 401 2.3× 24 956
Bartłomiej Łukaszuk Poland 16 462 0.9× 283 0.7× 148 0.7× 142 0.8× 197 1.1× 49 789
Gregory O. Clark United States 7 229 0.4× 344 0.9× 196 0.9× 245 1.3× 239 1.4× 7 855
Alison B. Kohan United States 19 380 0.7× 248 0.6× 310 1.5× 339 1.8× 186 1.1× 34 1.1k

Countries citing papers authored by Jean‐Paul Riou

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Paul Riou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean‐Paul Riou

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Paul Riou. A scholar is included among the top collaborators of Jean‐Paul Riou 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‐Paul Riou. Jean‐Paul Riou 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.
Nozières, Cécile, Thomas Walter, Marie‐Odile Joly, et al.. (2012). A SDHB malignant paraganglioma with dramatic response to temozolomide–capecitabine. European Journal of Endocrinology. 166(6). 1107–1111. 18 indexed citations
2.
Rougemont, Alexis de, et al.. (2009). Atypical thyrotropin-secreting pituitary microadenoma revealed by severe osteoporosis in a young man. Journal of Bone and Mineral Metabolism. 27(4). 513–518. 4 indexed citations
3.
Moreau, Alain, Sylvie Erpeldinger, Patrick Imbert, et al.. (2009). Patient versus general practitioner perception of problems with treatment adherence in type 2 diabetes: From adherence to concordance. European Journal of General Practice. 15(3). 147–153. 24 indexed citations
4.
Cassier, Philippe A., et al.. (2008). Mifepristone for ectopic ACTH secretion in metastatic endocrine carcinomas: report of two cases.. European Journal of Endocrinology. 158(6). 935–938. 13 indexed citations
7.
Rome, Sophie, Karine Clément, Rémi Rabasa‐Lhoret, et al.. (2003). Microarray Profiling of Human Skeletal Muscle Reveals That Insulin Regulates ∼800 Genes during a Hyperinsulinemic Clamp. Journal of Biological Chemistry. 278(20). 18063–18068. 149 indexed citations
8.
Chambrier, C., Jean‐Philippe Bastard, Jennifer Rieusset, et al.. (2002). Eicosapentaenoic Acid Induces mRNA Expression of Peroxisome Proliferator‐Activated Receptor γ. Obesity Research. 10(6). 518–525. 116 indexed citations
9.
Cornu, Catherine, Patrick Ffrench, Michel Pugeat, et al.. (2000). Postmenopause hormone treatment in women with NIDDM or impaired glucose tolerance: the MEDIA randomized clinical trial. Maturitas. 37(2). 95–104. 13 indexed citations
10.
Laville, Martine, Vincent Rigalleau, Jean‐Paul Riou, & M. Beylot. (1995). Respective role of plasma nonesterified fatty acid oxidation and total lipid oxidation in lipid-induced insulin resistance. Metabolism. 44(5). 639–644. 36 indexed citations
11.
Pachiaudi, C., et al.. (1995). Differential Incorporation of <sup>13</sup>C Label from Dietary Glucose into Neutral Sugars of Rat Intestine Macromolecules. Annals of Nutrition and Metabolism. 39(3). 143–151. 4 indexed citations
12.
Tappy, Luc, Kevin J. Acheson, Sylvie Normand, et al.. (1994). Effects of glucose and amino acid infusion on glucose turnover in insulin-resistant obese and type II diabetic patients. Metabolism. 43(4). 428–434. 8 indexed citations
13.
Minassian, Carol, et al.. (1994). Glucose-6-Phosphatase Specificity after Membrane Solubilization by Detergent Treatment1. The Journal of Biochemistry. 116(6). 1336–1340. 6 indexed citations
14.
Mithieux, Gilles, et al.. (1993). Characteristics and specificity of the inhibition of liver glucose‐6‐phosphatase by arachidonic acid. European Journal of Biochemistry. 213(1). 461–466. 29 indexed citations
15.
Minassian, Carol, et al.. (1993). Glucose‐6‐phosphate phosphohydrolase of detergent‐treated liver microsomal membranes exhibits a specific kinetic behaviour towards glucose 6‐phosphate. European Journal of Biochemistry. 212(2). 335–338. 4 indexed citations
16.
Vidal, Hubert, Alain Géloën, Y Minaire, & Jean‐Paul Riou. (1993). Effect of growth hormone deficiency on hormonal control of hepatic glycogenolysis in hypophysectomized rat. Metabolism. 42(5). 631–637. 5 indexed citations
18.
Comte, Blandine, Hubert Vidal, Martine Laville, & Jean‐Paul Riou. (1990). Influence of thyroid hormones on gluconeogenesis from glycerol in rat hepatocytes: A dose-response study. Metabolism. 39(3). 259–263. 32 indexed citations
19.
Laville, Martine, Y. Khalfallah, Hubert Vidal, et al.. (1989). Influence de l'état thyroidien et du jeûne sur la pyruvate kinase de foie de rat. Nutrition Clinique et Métabolisme. 3(3). 139–145. 1 indexed citations
20.
Munari‐Silem, Yvonne, et al.. (1986). Cyclic AMP-dependent phosphorylation of high molecular mass proteins in pig thyroid cells. Molecular and Cellular Endocrinology. 44(3). 251–260. 7 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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