Grégory Aubert

2.2k total citations · 2 hit papers
16 papers, 1.6k citations indexed

About

Grégory Aubert is a scholar working on Physiology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Grégory Aubert has authored 16 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 6 papers in Molecular Biology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Grégory Aubert's work include Adipose Tissue and Metabolism (7 papers), Cardiovascular Function and Risk Factors (4 papers) and Diet and metabolism studies (4 papers). Grégory Aubert is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Cardiovascular Function and Risk Factors (4 papers) and Diet and metabolism studies (4 papers). Grégory Aubert collaborates with scholars based in United States, Switzerland and United Kingdom. Grégory Aubert's co-authors include Daniel P. Kelly, Rick B. Vega, François Pralong, Virginie Mansuy‐Aubert, Ling‐Ping Lai, Marcus Krüger, Ola J. Martin, Deborah M. Muoio, Peter A. Crawford and Julie L. Horton and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Grégory Aubert

16 papers receiving 1.6k citations

Hit Papers

The Failing Heart Relies on Ketone Bodies as a Fuel 2016 2026 2019 2022 2016 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grégory Aubert United States 11 590 566 554 308 174 16 1.6k
Xing-Ya Gao China 22 609 1.0× 401 0.7× 587 1.1× 177 0.6× 274 1.6× 44 1.5k
Jessica Durrant United States 14 468 0.8× 257 0.5× 421 0.8× 371 1.2× 79 0.5× 28 1.4k
Kalyani G. Bharadwaj United States 16 542 0.9× 501 0.9× 668 1.2× 321 1.0× 140 0.8× 18 1.5k
Mathias Hohl Germany 29 483 0.8× 832 1.5× 1.5k 2.7× 244 0.8× 173 1.0× 80 2.7k
Tetsuo Nakata Japan 24 311 0.5× 369 0.7× 622 1.1× 314 1.0× 177 1.0× 93 1.7k
Maria Luiza Morais Barreto‐Chaves Brazil 27 316 0.5× 751 1.3× 540 1.0× 642 2.1× 140 0.8× 94 1.9k
Maria Rosaria Tagliamonte Italy 21 522 0.9× 254 0.4× 378 0.7× 366 1.2× 264 1.5× 31 1.5k
Maurizio Ragni Italy 21 841 1.4× 795 1.4× 296 0.5× 259 0.8× 90 0.5× 44 2.0k
R. Clinton Webb United States 25 515 0.9× 509 0.9× 320 0.6× 294 1.0× 74 0.4× 64 1.5k
Xiao‐Lian Shi China 24 293 0.5× 669 1.2× 234 0.4× 150 0.5× 123 0.7× 48 1.6k

Countries citing papers authored by Grégory Aubert

Since Specialization
Citations

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

Fields of papers citing papers by Grégory Aubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grégory Aubert

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

All Works

16 of 16 papers shown
1.
Thomas, Celeste C., et al.. (2024). Polyamines mediate cellular energetics and lipid metabolism through mitochondrial respiration to facilitate virus replication. PLoS Pathogens. 20(11). e1012711–e1012711. 4 indexed citations
2.
Bonomo, Raiza, et al.. (2023). Fecal microbiome transplantation and tributyrin improves early cardiac dysfunction and modifies the BCAA metabolic pathway in a diet induced pre-HFpEF mouse model. Frontiers in Cardiovascular Medicine. 10. 1105581–1105581. 11 indexed citations
3.
4.
Talley, Sarah, Raiza Bonomo, Chaitanya K. Gavini, et al.. (2022). Monitoring of inflammation using novel biosensor mouse model reveals tissue- and sex-specific responses to Western diet. Disease Models & Mechanisms. 15(6). 5 indexed citations
5.
Gavini, Chaitanya K., et al.. (2021). Loss of C2 Domain Protein (C2CD5) Alters Hypothalamic Mitochondrial Trafficking, Structure, and Function. Neuroendocrinology. 112(4). 324–337. 3 indexed citations
6.
Gavini, Chaitanya K., Grégory Aubert, Raiza Bonomo, et al.. (2021). Vagal neuron expression of the microbiota-derived metabolite receptor, free fatty acid receptor (FFAR3), is necessary for normal feeding behavior. Molecular Metabolism. 54. 101350–101350. 63 indexed citations
7.
Bonomo, Raiza, Chaitanya K. Gavini, Elisa Bovo, et al.. (2020). Fecal transplantation and butyrate improve neuropathic pain, modify immune cell profile, and gene expression in the PNS of obese mice. Proceedings of the National Academy of Sciences. 117(42). 26482–26493. 76 indexed citations
8.
Smith, Eric D., Neal K. Lakdawala, Nikolaos Papoutsidakis, et al.. (2020). Desmoplakin Cardiomyopathy, a Fibrotic and Inflammatory Form of Cardiomyopathy Distinct From Typical Dilated or Arrhythmogenic Right Ventricular Cardiomyopathy. Circulation. 141(23). 1872–1884. 246 indexed citations breakdown →
9.
Aubert, Grégory, David Y. Barefield, Alexis R. Demonbreun, et al.. (2019). Deletion of Sulfonylurea Receptor 2 in the Adult Myocardium Enhances Cardiac Glucose Uptake and Is Cardioprotective. JACC Basic to Translational Science. 4(2). 251–268. 8 indexed citations
10.
Aubert, Grégory, Ola J. Martin, Julie L. Horton, et al.. (2016). The Failing Heart Relies on Ketone Bodies as a Fuel. Circulation. 133(8). 698–705. 549 indexed citations breakdown →
11.
Gerber, Alan, Cyril Esnault, Grégory Aubert, et al.. (2013). Blood-Borne Circadian Signal Stimulates Daily Oscillations in Actin Dynamics and SRF Activity. Cell. 152(3). 492–503. 117 indexed citations
12.
Mansuy‐Aubert, Virginie, Qiong Zhou, Xiangyang Xie, et al.. (2013). Imbalance between Neutrophil Elastase and its Inhibitor α1-Antitrypsin in Obesity Alters Insulin Sensitivity, Inflammation, and Energy Expenditure. Cell Metabolism. 17(4). 534–548. 192 indexed citations
13.
Aubert, Grégory, Rick B. Vega, & Daniel P. Kelly. (2012). Perturbations in the gene regulatory pathways controlling mitochondrial energy production in the failing heart. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1833(4). 840–847. 82 indexed citations
14.
Aubert, Grégory, et al.. (2010). The anorexigenic effects of metformin involve increases in hypothalamic leptin receptor expression. Metabolism. 60(3). 327–334. 75 indexed citations
15.
Aubert, Grégory, Michel Burnier, Abdul G. Dulloo, et al.. (2009). Neuroendocrine characterization and anorexigenic effects of telmisartan in diet- and glitazone-induced weight gain. Metabolism. 59(1). 25–32. 12 indexed citations
16.
Christ‐Crain, Mirjam, Blerina Kola, Francesca Lolli, et al.. (2008). AMP‐activated protein kinase mediates glucocorticoid‐ induced metabolic changes: a novel mechanism in Cushing's syndrome. The FASEB Journal. 22(6). 1672–1683. 136 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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