Geneviève Tavernier

5.1k total citations · 1 hit paper
52 papers, 3.6k citations indexed

About

Geneviève Tavernier is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Geneviève Tavernier has authored 52 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Physiology, 20 papers in Molecular Biology and 14 papers in Epidemiology. Recurrent topics in Geneviève Tavernier's work include Adipose Tissue and Metabolism (30 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers) and Lipid metabolism and biosynthesis (10 papers). Geneviève Tavernier is often cited by papers focused on Adipose Tissue and Metabolism (30 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers) and Lipid metabolism and biosynthesis (10 papers). Geneviève Tavernier collaborates with scholars based in France, United States and Canada. Geneviève Tavernier's co-authors include Dominique Langin, Bruce M. Spiegelman, Wenli Yang, Patrick Seale, Shingo Kajimura, Marc Uldry, Sherry Chin, Hervé Le Marec, Charles Gauthier and Claire Tiraby and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Geneviève Tavernier

51 papers receiving 3.6k citations

Hit Papers

Transcriptional Control of Brown Fat Determination by PRDM16 2007 2026 2013 2019 2007 250 500 750
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.

  1. Transcriptional Control of Brown Fat Determination by PRDM16
    2007 951 citations Patrick Seale, Shingo Kajimura et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geneviève Tavernier France 27 2.4k 1.4k 1.1k 726 605 52 3.6k
Robert A. Koza United States 28 2.7k 1.1× 1.5k 1.1× 1.1k 1.0× 420 0.6× 399 0.7× 51 3.9k
Tore Bengtsson Sweden 30 2.8k 1.2× 1.2k 0.9× 1.1k 0.9× 611 0.8× 255 0.4× 74 3.8k
Sandra Kleiner United States 18 2.6k 1.1× 1.9k 1.3× 1.2k 1.1× 588 0.8× 265 0.4× 27 4.1k
Sherry Chin United States 11 4.2k 1.7× 2.9k 2.1× 1.7k 1.6× 916 1.3× 512 0.8× 12 5.8k
Mengle Shao United States 32 2.1k 0.9× 1.1k 0.8× 1.7k 1.5× 543 0.7× 221 0.4× 52 3.5k
Mariëtte R. Boon Netherlands 35 2.5k 1.0× 773 0.5× 1.1k 1.0× 788 1.1× 254 0.4× 112 3.7k
Trey Coleman United States 30 1.6k 0.6× 2.0k 1.4× 955 0.9× 455 0.6× 481 0.8× 42 4.0k
John J. Lehman United States 14 2.8k 1.2× 3.6k 2.6× 612 0.5× 1.6k 2.2× 361 0.6× 17 5.1k
Jacques Robidoux United States 21 1.5k 0.6× 942 0.7× 735 0.7× 265 0.4× 248 0.4× 33 2.5k
Rolando B. Ceddia Canada 31 2.0k 0.8× 1.3k 0.9× 1.1k 1.0× 278 0.4× 239 0.4× 72 3.4k

Countries citing papers authored by Geneviève Tavernier

Since Specialization
Citations

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

Fields of papers citing papers by Geneviève Tavernier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geneviève Tavernier

This figure shows the co-authorship network connecting the top 25 collaborators of Geneviève Tavernier. A scholar is included among the top collaborators of Geneviève Tavernier 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 Geneviève Tavernier. Geneviève Tavernier 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.
Duparc, Thibaut, Guillaume Combes, Diane Beuzelin, et al.. (2024). P2Y13 receptor deficiency favors adipose tissue lipolysis and worsens insulin resistance and fatty liver disease. JCI Insight. 9(8).
2.
Buléon, Marie, Marie Marquès, Laurent Monbrun, et al.. (2024). Common mouse models of chronic kidney disease are not associated with cachexia. Communications Biology. 7(1). 346–346. 5 indexed citations
3.
Croyal, Mikaël, Laurent Monbrun, Ellen E. Blaak, et al.. (2024). The adipocyte apolipoprotein M is negatively associated with inflammation. Journal of Lipid Research. 65(10). 100648–100648. 2 indexed citations
4.
Tavernier, Geneviève, et al.. (2020). Vanadium-dependent activation of glucose transport in adipocytes by catecholamines is not mediatedviaadrenoceptor stimulation or monoamine oxidase activity. World Journal of Diabetes. 11(12). 622–643. 6 indexed citations
5.
Barquissau, Valentin, Diane Beuzelin, Didier F. Pisani, et al.. (2016). White-to-brite conversion in human adipocytes promotes metabolic reprogramming towards fatty acid anabolic and catabolic pathways. Molecular Metabolism. 5(5). 352–365. 108 indexed citations
6.
Caspar‐Bauguil, Sylvie, C. Kolditz, Corinne Lefort, et al.. (2015). Fatty acids from fat cell lipolysis do not activate an inflammatory response but are stored as triacylglycerols in adipose tissue macrophages. Diabetologia. 58(11). 2627–2636. 32 indexed citations
7.
Vila, Isabelle K., Pierre-Marie Badin, Marie-Adeline Marqués, et al.. (2014). Immune Cell Toll-like Receptor 4 Mediates the Development of Obesity- and Endotoxemia-Associated Adipose Tissue Fibrosis. Cell Reports. 7(4). 1116–1129. 120 indexed citations
8.
Badin, Pierre-Marie, Maarten Coonen, Katie Louche, et al.. (2012). Regulation of skeletal muscle lipolysis and oxidative metabolism by the co-lipase CGI-58. Journal of Lipid Research. 53(5). 839–848. 43 indexed citations
9.
Girousse, Amandine, Geneviève Tavernier, Claire Tiraby, et al.. (2009). Transcription of the human uncoupling protein 3 gene is governed by a complex interplay between the promoter and intronic sequences. Diabetologia. 52(8). 1638–1646. 7 indexed citations
10.
Vanoverschelde, Jean‐Louis, Jean‐Luc Balligand, Belaïd Sekkali, et al.. (2007). Cardiomyocyte-specific overexpression of beta3-adrenoceptors attenuates the hypertrophic response to catecholamines in vivo. Circulation. 116(16). 148–148. 30 indexed citations
11.
Mazzucotelli, Anne, Nathalie Viguerie, Claire Tiraby, et al.. (2007). The Transcriptional Coactivator Peroxisome Proliferator-Activated Receptor (PPAR)[gamma] Coactivator-1[alpha] and the Nuclear Receptor PPAR[alpha] Control the Expression of Glycerol Kinase and Metabolism Genes Independently of PPAR[gamma] Activation in Human White Adipocytes. Université Pierre et Marie CURIE (UPMC). 1 indexed citations
12.
Tiraby, Claire, Geneviève Tavernier, Frédéric Capel, et al.. (2007). Resistance to high-fat-diet-induced obesity and sexual dimorphism in the metabolic responses of transgenic mice with moderate uncoupling protein 3 overexpression in glycolytic skeletal muscles. Diabetologia. 50(10). 2190–2199. 44 indexed citations
13.
Seale, Patrick, Shingo Kajimura, Wenli Yang, et al.. (2007). Transcriptional Control of Brown Fat Determination by PRDM16. Cell Metabolism. 6(1). 38–54. 951 indexed citations breakdown →
14.
Tavernier, Geneviève, Juan Antonio Rojas‐Contreras, Aline Mairal, et al.. (2004). The Testicular Form of Hormone-sensitive Lipase HSLtes Confers Rescue of Male Infertility in HSL-deficient Mice. Journal of Biological Chemistry. 279(41). 42875–42880. 26 indexed citations
15.
Lucas, Stéphanie, Geneviève Tavernier, Claire Tiraby, Aline Mairal, & Dominique Langin. (2003). Expression of human hormone-sensitive lipase in white adipose tissue of transgenic mice increases lipase activity but does not enhance in vitro lipolysis. Journal of Lipid Research. 44(1). 154–163. 34 indexed citations
16.
Blaise, Régis, Thierry Guillaudeux, Geneviève Tavernier, et al.. (2001). Testis Hormone-sensitive Lipase Expression in Spermatids Is Governed by a Short Promoter in Transgenic Mice. Journal of Biological Chemistry. 276(7). 5109–5115. 27 indexed citations
17.
Langin, Dominique, Geneviève Tavernier, & Max Lafontan. (1995). Regulation of beta3‐adrenoceptor expression in white fat cells*. Fundamental and Clinical Pharmacology. 9(2). 97–106. 37 indexed citations
18.
Damase‐Michel, Christine, et al.. (1993). Effects of clonidine, dihydralazine and splanchnic nerve stimulation on the release of neuropeptide Y, MET-enkephalin and catecholamines from dog adrenal medulla. Naunyn-Schmiedeberg s Archives of Pharmacology. 348(4). 379–84. 15 indexed citations
19.
Montastruc, P, et al.. (1992). Release of neuropeptide Y and noradrenaline during afferent nerve stimulation. European Journal of Pharmacology. 213(1). 159–162. 3 indexed citations
20.
Tavernier, Geneviève, et al.. (1992). [Differential regulation of the release of norepinephrine and neuropeptide Y].. PubMed. 85(8). 1137–40. 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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