Marie Marquès

774 total citations
10 papers, 439 citations indexed

About

Marie Marquès is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Marie Marquès has authored 10 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cell Biology. Recurrent topics in Marie Marquès's work include Adipose Tissue and Metabolism (6 papers), Diet and metabolism studies (4 papers) and Muscle metabolism and nutrition (3 papers). Marie Marquès is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Diet and metabolism studies (4 papers) and Muscle metabolism and nutrition (3 papers). Marie Marquès collaborates with scholars based in France, Czechia and Denmark. Marie Marquès's co-authors include M Berlan, Max Lafontan, Cédric Moro, Coralie Sengenès, Claire Thalamas, Jean Galitzky, Jean‐Michel Sénard, G Franke, Friedrich C. Luft and Fred C.G.J. Sweep and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and American Journal of Clinical Nutrition.

In The Last Decade

Marie Marquès

10 papers receiving 436 citations

Peers

Marie Marquès

PHYSI

CCM

SURGE

EPIDE

Kazuhiro Hongyo Japan

Julia M. Kannenberg Germany

Daniela Cavallotti Italy

Petteri Rinne Finland

Fumiko Nagatomo Japan

Lauren Howitt Australia

Denisse Valladares-Ide Chile

Robert V. Musci United States

Valerio Gobbo Italy

Mi-Seon Shin South Korea

Kazuhiro Hongyo Japan

Marie Marquès

131 ×0.7

PHYSI

119 ×0.8

CCM

141 ×1.1

75 ×1.1

SURGE

36 ×0.5

EPIDE

Citations per year, relative to Marie Marquès Marie Marquès (= 1×) peers Kazuhiro Hongyo

Countries citing papers authored by Marie Marquès

Since Specialization

Citations

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

Fields of papers citing papers by Marie Marquès

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Marquès

This figure shows the co-authorship network connecting the top 25 collaborators of Marie Marquès. A scholar is included among the top collaborators of Marie Marquès 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 Marie Marquès. Marie Marquès is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

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

Monbrun, Laurent, Marie Marquès, Nathalie Viguerie, et al.. (2024). GDF15 is dispensable for the insulin-sensitizing effects of chronic exercise. Cell Reports. 43(8). 114577–114577. 4 indexed citations

Contreras, Xavier, Sylvie Monferran, Virginie Bourlier, et al.. (2023). Adipose tissue is a source of regenerative cells that augment the repair of skeletal muscle after injury. Nature Communications. 14(1). 80–80. 48 indexed citations

Zemdegs, Juliane, Hugo Martin, Hiranya Pintana, et al.. (2019). Metformin Promotes Anxiolytic and Antidepressant-Like Responses in Insulin-Resistant Mice by Decreasing Circulating Branched-Chain Amino Acids. Journal of Neuroscience. 39(30). 5935–5948. 109 indexed citations

Šiklová, Michaela, Sylvie Caspar‐Bauguil, Jérôme Carayol, et al.. (2018). Apolipoprotein M: a novel adipokine decreasing with obesity and upregulated by calorie restriction. American Journal of Clinical Nutrition. 109(6). 1499–1510. 33 indexed citations

Koppo, Katrien, Michaela Šiklová, Eva Klimčáková, et al.. (2011). Catecholamine and insulin control of lipolysis in subcutaneous adipose tissue during long-term diet-induced weight loss in obese women. American Journal of Physiology-Endocrinology and Metabolism. 302(2). E226–E232. 12 indexed citations

Koppo, Katrien, Dominique Larrouy, Marie Marquès, et al.. (2010). Lipid mobilization in subcutaneous adipose tissue during exercise in lean and obese humans. Roles of insulin and natriuretic peptides. American Journal of Physiology-Endocrinology and Metabolism. 299(2). E258–E265. 24 indexed citations

Birkenfeld, Andreas L., Michael Boschmann, Cédric Moro, et al.. (2008). Atrial Natriuretic Peptide Induces Postprandial Lipid Oxidation in Humans. Diabetes. 57(12). 3199–3204. 110 indexed citations

Polák, J., Cédric Moro, J. Hejnova, et al.. (2007). Acute exposure to long-chain fatty acids impairs α2-adrenergic receptor-mediated antilipolysis in human adipose tissue. Journal of Lipid Research. 48(10). 2236–2246. 8 indexed citations

10.

Galitzky, Jean, Coralie Sengenès, Claire Thalamas, et al.. (2001). The lipid-mobilizing effect of atrial natriuretic peptide is unrelated to sympathetic nervous system activation or obesity in young men. Journal of Lipid Research. 42(4). 536–544. 86 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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