Bertrand Perret

9.8k total citations · 2 hit papers
148 papers, 7.1k citations indexed

About

Bertrand Perret is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Bertrand Perret has authored 148 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 51 papers in Endocrinology, Diabetes and Metabolism and 33 papers in Surgery. Recurrent topics in Bertrand Perret's work include Diabetes, Cardiovascular Risks, and Lipoproteins (25 papers), ATP Synthase and ATPases Research (16 papers) and Liver Disease Diagnosis and Treatment (15 papers). Bertrand Perret is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (25 papers), ATP Synthase and ATPases Research (16 papers) and Liver Disease Diagnosis and Treatment (15 papers). Bertrand Perret collaborates with scholars based in France, Netherlands and Switzerland. Bertrand Perret's co-authors include Xavier Collet, Michel Record, Karine Laulagnier, Ronald Barbaras, Laurent O. Martinez, Caroline Subra, Jean‐Pierre Salles, Hugues Chap, Jean Ferrières and François Tercé and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Circulation.

In The Last Decade

Bertrand Perret

147 papers receiving 6.9k citations

Hit Papers

Exosomes account for vesicle-mediated transcellular trans... 2004 2026 2011 2018 2010 2004 100 200 300 400 500
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. Exosomes account for vesicle-mediated transcellular transport of activatable phospholipases and prostaglandins
    2010 527 citations Caroline Subra, David Grand et al. Journal of Lipid Research profile →
  2. Mast cell- and dendritic cell-derived exosomes display a specific lipid composition and an unusual membrane organization
    2004 514 citations Karine Laulagnier, Safouane M. Hamdi et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bertrand Perret France 43 3.5k 1.4k 1.2k 1.2k 995 148 7.1k
Maria B. Grant United States 55 5.4k 1.6× 1.0k 0.7× 940 0.8× 981 0.8× 920 0.9× 235 11.2k
Lawrence Chan United States 52 4.0k 1.1× 796 0.6× 1.8k 1.5× 1.1k 1.0× 1.5k 1.5× 125 9.5k
Krzysztof Reiss United States 49 4.9k 1.4× 1.2k 0.9× 692 0.6× 1.1k 0.9× 701 0.7× 158 8.0k
Dimitry A. Chistiakov Russia 44 3.1k 0.9× 1.3k 0.9× 1.1k 0.9× 563 0.5× 2.2k 2.2× 120 7.6k
Udo Seedorf Germany 42 2.7k 0.8× 658 0.5× 1.5k 1.2× 675 0.6× 329 0.3× 117 4.9k
Taiji Matsusaka Japan 43 2.9k 0.8× 652 0.5× 643 0.5× 1.1k 0.9× 1.3k 1.3× 124 7.4k
Martha Campbell‐Thompson United States 50 2.7k 0.8× 477 0.3× 2.7k 2.2× 2.0k 1.7× 947 1.0× 161 8.0k
Alain Vandewalle France 61 6.8k 1.9× 323 0.2× 1.3k 1.1× 1.4k 1.2× 1.5k 1.5× 220 11.4k
Bysani Chandrasekar United States 54 3.0k 0.9× 946 0.7× 985 0.8× 593 0.5× 1.7k 1.7× 142 8.0k
Rita De Vos Belgium 53 2.2k 0.6× 1.0k 0.7× 3.0k 2.5× 493 0.4× 808 0.8× 233 9.6k

Countries citing papers authored by Bertrand Perret

Since Specialization
Citations

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

Fields of papers citing papers by Bertrand Perret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bertrand Perret

This figure shows the co-authorship network connecting the top 25 collaborators of Bertrand Perret. A scholar is included among the top collaborators of Bertrand Perret 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 Bertrand Perret. Bertrand Perret 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.
Croyal, Mikaël, Jean‐Bernard Ruidavets, Marie Maraninchi, et al.. (2024). Identification of circulating apolipoprotein M as a new determinant of insulin sensitivity and relationship with adiponectin. International Journal of Obesity. 48(7). 973–980. 4 indexed citations
2.
Martinez, Laurent O., Yves Rolland, Souad Najib, et al.. (2023). Plasma Level of ATPase Inhibitory Factor 1 and Intrinsic Capacity in Community-Dwelling Older Adults: Prospective Data From the MAPT Study. The Journals of Gerontology Series A. 79(1). 1 indexed citations
3.
Duparc, Thibaut, et al.. (2021). The Multifaceted ATPase Inhibitory Factor 1 (IF1) in Energy Metabolism Reprogramming and Mitochondrial Dysfunction: A New Player in Age-Associated Disorders?. Antioxidants and Redox Signaling. 37(4-6). 370–393. 27 indexed citations
4.
Croyal, Mikaël, Thibaut Duparc, Guillaume Combes, et al.. (2019). Preeclampsia is associated with changes in the composition and dysfunction of high-density lipoproteins. Archives of Cardiovascular Diseases Supplements. 11(3). e354–e354. 4 indexed citations
5.
Ruidavets, Jean‐Bernard, Annelise Genoux, Guillaume Combes, et al.. (2018). Common p2y polymorphisms are associated with plasma inhibitory factor 1 and lipoprotein(a) concentrations, heart rate and body fat mass: The GENES study. Archives of cardiovascular diseases. 112(2). 124–134. 5 indexed citations
6.
Elbaz, Meyer, Julien Faccini, Vanina Bongard, et al.. (2016). High-density lipoprotein subclass profile and mortality in patients with coronary artery disease: Results from the GENES study. Archives of cardiovascular diseases. 109(11). 607–617. 7 indexed citations
7.
Ferrières, Jean, Annelise Genoux, Isabelle Gennero, et al.. (2016). 0084: Big data and LDL: heterozygous familial hypercholesterolemia is common in France. Archives of Cardiovascular Diseases Supplements. 8(1). 95–95. 1 indexed citations
8.
Ruidavets, Jean-Bernard, Vanina Bongard, Dorota Taraszkiewicz, et al.. (2013). Association of Hepatic Lipase -514T Allele with Coronary Artery Disease and Ankle-Brachial Index, Dependence on the Lipoprotein Phenotype: The GENES Study. PLoS ONE. 8(7). e67805–e67805. 6 indexed citations
9.
Esquirol, Yolande, et al.. (2012). Shiftwork and Higher Pancreatic Secretion: Early Detection of an Intermediate State of Insulin Resistance?. Chronobiology International. 29(9). 1258–1266. 25 indexed citations
10.
Ruidavets, J. B., G. Luc, Annelise Genoux, et al.. (2011). Effects of insulin-like growth factor 1 in preventing acute coronary syndromes: The PRIME study. Atherosclerosis. 218(2). 464–469. 42 indexed citations
11.
Subra, Caroline, David Grand, Karine Laulagnier, et al.. (2010). Exosomes account for vesicle-mediated transcellular transport of activatable phospholipases and prostaglandins. Journal of Lipid Research. 51(8). 2105–2120. 527 indexed citations breakdown →
12.
Vantourout, Pierre, Laurent O. Martinez, Bertrand Perret, et al.. (2010). F1-Adenosine Triphosphatase Displays Properties Characteristic of an Antigen Presentation Molecule for Vγ9Vδ2 T Cells. The Journal of Immunology. 184(12). 6920–6928. 48 indexed citations
13.
Vantourout, Pierre, Corinne Rolland, Frédéric Pont, et al.. (2009). Specific Requirements for Vγ9Vδ2 T Cell Stimulation by a Natural Adenylated Phosphoantigen. The Journal of Immunology. 183(6). 3848–3857. 53 indexed citations
14.
Esquirol, Yolande, et al.. (2009). Shift Work and Metabolic Syndrome: Respective Impacts of Job Strain, Physical Activity, and Dietary Rhythms. Chronobiology International. 26(3). 544–559. 259 indexed citations
15.
Mazereeuw‐Hautier, J., Sandra Grès, Clotilde Cariven, et al.. (2005). Production of Lysophosphatidic Acid in Blister Fluid: Involvement of a Lysophospholipase D Activity. Journal of Investigative Dermatology. 125(3). 421–427. 45 indexed citations
16.
Bonnet, É., Cyrille Delpierre, Agnès Sommet, et al.. (2005). Total Body Composition by DXA of 241 HIV-Negative Men and 162 HIV-Infected Men. Journal of Clinical Densitometry. 8(3). 287–292. 78 indexed citations
17.
Marques‐Vidal, Pedro, Vanina Bongard, Jean‐Bernard Ruidavets, et al.. (2003). Obesity and Alcohol Modulate the Effect of Apolipoprotein E Polymorphism on Lipids and Insulin. Obesity Research. 11(10). 1200–1206. 40 indexed citations
18.
Perret, Bertrand, et al.. (1995). La triglycéride lipase hépatique : structure, régulation, rôles métaboliques et implications physiopathologiques. Sang thrombose vaisseaux. 7(3). 165–173.
19.
Lespine, Anne, et al.. (1988). Accumulation of large VLDL in cyclophosphamide treated rabbits. Relationship with lipoprotein lipase deficiency. Biochemical and Biophysical Research Communications. 154(2). 633–640. 4 indexed citations
20.
Perret, Bertrand, S Lévy-Toledano, Monique Plantavid, et al.. (1983). Abnormal phospholipid organization in Bernard-Soulier platelets. Thrombosis Research. 31(4). 529–537. 17 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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