Frédéric Picard

10.2k total citations · 6 hit papers
92 papers, 8.3k citations indexed

About

Frédéric Picard is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Frédéric Picard has authored 92 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Physiology, 29 papers in Molecular Biology and 22 papers in Epidemiology. Recurrent topics in Frédéric Picard's work include Adipose Tissue and Metabolism (33 papers), Adipokines, Inflammation, and Metabolic Diseases (16 papers) and Growth Hormone and Insulin-like Growth Factors (13 papers). Frédéric Picard is often cited by papers focused on Adipose Tissue and Metabolism (33 papers), Adipokines, Inflammation, and Metabolic Diseases (16 papers) and Growth Hormone and Insulin-like Growth Factors (13 papers). Frédéric Picard collaborates with scholars based in Canada, France and United States. Frédéric Picard's co-authors include Leonard Guarente, Johan Auwerx, Michael W. McBurney, Acharawan Topark‐Ngarm, Rita Machado de Oliveira, Thanaset Senawong, Mark Leid, Denis Richard, Yves Deshaies and Gordon A. Francis and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Frédéric Picard

89 papers receiving 8.1k citations

Hit Papers

Sirt1 promotes fat mobili... 2003 2026 2010 2018 2004 2004 2005 2005 2003 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Frédéric Picard 3.6k 3.5k 1.9k 1.7k 874 92 8.3k
Dudley W. Lamming 5.5k 1.5× 3.9k 1.1× 2.9k 1.5× 2.0k 1.2× 699 0.8× 97 11.9k
Kenneth Maiese 7.3k 2.0× 2.6k 0.7× 2.3k 1.2× 1.8k 1.0× 1.1k 1.2× 220 14.0k
Jonas T. Treebak 3.5k 1.0× 3.2k 0.9× 700 0.4× 765 0.4× 1.1k 1.3× 103 6.2k
Carles Cantó 7.4k 2.1× 6.3k 1.8× 5.9k 3.1× 3.4k 2.0× 814 0.9× 72 15.9k
Eduardo N. Chini 2.7k 0.8× 1.6k 0.5× 1.9k 1.0× 1.1k 0.6× 391 0.4× 144 7.9k
John C. Newman 3.0k 0.8× 3.6k 1.0× 601 0.3× 570 0.3× 333 0.4× 71 6.7k
Haim Cohen 5.6k 1.6× 4.2k 1.2× 6.4k 3.4× 2.7k 1.6× 435 0.5× 73 12.5k
Lili Zhang 2.3k 0.6× 1.9k 0.5× 2.0k 1.0× 959 0.6× 721 0.8× 115 6.3k
Praveen Ballabh 1.9k 0.5× 1.3k 0.4× 677 0.4× 887 0.5× 507 0.6× 81 7.8k
Zhidan Wu 11.7k 3.3× 11.0k 3.2× 1.6k 0.8× 3.7k 2.1× 1.2k 1.4× 55 18.1k

Countries citing papers authored by Frédéric Picard

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Picard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Picard

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Picard. A scholar is included among the top collaborators of Frédéric Picard 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 Frédéric Picard. Frédéric Picard 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.
Thériault, Veronique, et al.. (2025). Impact of bacterial inactivation methods on Caenorhabditis elegans feeding and healthspan. Scientific Reports. 15(1). 43686–43686.
2.
Alméras, Natalie, Isabelle Lemieux, Éric Larose, et al.. (2023). Plasma IGFBP-2 levels reveal heterogeneity in hepatic fat content in adults with excess visceral adiposity. Frontiers in Endocrinology. 14. 1222101–1222101.
3.
Blondin, Denis P., Søren Nielsen, Eline N. Kuipers, et al.. (2020). Human Brown Adipocyte Thermogenesis Is Driven by β2-AR Stimulation. Cell Metabolism. 32(2). 287–300.e7. 221 indexed citations breakdown →
4.
Carter, Sophie, et al.. (2018). Loss of Malat1 does not modify age- or diet-induced adipose tissue accretion and insulin resistance in mice. PLoS ONE. 13(5). e0196603–e0196603. 13 indexed citations
5.
Picard, Frédéric, Jérémy Niddam, Antoine De Runz, et al.. (2017). Intraoperative instillation of ropivacaine during the placement of sub-muscular cosmetic breast implants: Is there a clinical benefit?. Annales de Chirurgie Plastique Esthétique. 63(1). 20–24. 1 indexed citations
6.
Chechi, Kanta, Pierre Voisine, Patrick Mathieu, et al.. (2017). Functional characterization of the Ucp1-associated oxidative phenotype of human epicardial adipose tissue. Scientific Reports. 7(1). 15566–15566. 47 indexed citations
7.
Caron, Alexandre, Sébastien M. Labbé, Sophie Carter, et al.. (2017). Loss of UCP2 impairs cold-induced non-shivering thermogenesis by promoting a shift toward glucose utilization in brown adipose tissue. Biochimie. 134. 118–126. 29 indexed citations
8.
Picard, Frédéric, Barbara Hersant, Simone La Padula, & Jean‐Paul Meningaud. (2017). Platelet-rich plasma-enriched autologous fat graft in regenerative and aesthetic facial surgery: Technical note. Journal of Stomatology Oral and Maxillofacial Surgery. 118(4). 228–231. 26 indexed citations
9.
Li, Zhuo, Julie Martin, Paul Poirier, et al.. (2012). Upregulation of Plasma Insulin‐Like Growth Factor Binding Protein 2 Levels After Biliopancreatic Diversion in Humans. Obesity. 20(7). 1469–1473. 18 indexed citations
10.
Carter, Sophie, Stéphanie Miard, Zhuo Li, et al.. (2012). Sirt1 Inhibits Resistin Expression in Aortic Stenosis. PLoS ONE. 7(4). e35110–e35110. 19 indexed citations
11.
Richard, Denis, et al.. (2010). Effects of age and gender on Sirt 1 mRNA expressions in the hypothalamus of the mouse. Neuroscience Letters. 480(1). 1–3. 33 indexed citations
12.
Picard, Frédéric & Yves Deshaies. (2010). Physiology of BAT thermogenesis: a view from the chair. International Journal of Obesity. 34(S1). S34–S35. 1 indexed citations
13.
Picard, Frédéric, et al.. (2010). Modulation of IGFBP2 mRNA Expression in White Adipose Tissue upon Aging and Obesity. Hormone and Metabolic Research. 42(11). 787–791. 32 indexed citations
14.
Guarente, Leonard & Frédéric Picard. (2005). Calorie Restriction— the SIR2 Connection. Cell. 120(4). 473–482. 638 indexed citations breakdown →
15.
Picard, Frédéric, Martine Géhin, Jean‐Sébastien Annicotte, et al.. (2002). SRC-1 and TIF2 Control Energy Balance between White and Brown Adipose Tissues. Cell. 111(7). 931–941. 362 indexed citations
16.
Picard, Frédéric, Yves Deshaies, Pierre Samson, et al.. (2000). Effects of the estrogen antagonist EM-652.HCl on energy balance and lipid metabolism in ovariectomized rats. International Journal of Obesity. 24(7). 830–840. 62 indexed citations
17.
Picard, Frédéric, Yves Deshaies, Josée Lalonde, Pierre Samson, & Denis Richard. (2000). Topiramate Reduces Energy and Fat Gains in Lean (Fa/?) and Obese (fa/fa) Zucker Rats. Obesity Research. 8(9). 656–663. 109 indexed citations
18.
Picard, Frédéric, et al.. (1999). 31P NMR First Spectral Moment Study of the Partial Magnetic Orientation of Phospholipid Membranes. Biophysical Journal. 77(2). 888–902. 82 indexed citations
20.
Picard, Frédéric, et al.. (1997). Multinuclear solid‐state nmr spectroscopy of envelopes from virgin and explanted silicone breast prostheses: An exploratory study. Magnetic Resonance in Medicine. 37(1). 11–17. 13 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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