Gaëtan Després

543 total citations
8 papers, 320 citations indexed

About

Gaëtan Després is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Gaëtan Després has authored 8 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Surgery. Recurrent topics in Gaëtan Després's work include Genetic Neurodegenerative Diseases (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Mitochondrial Function and Pathology (2 papers). Gaëtan Després is often cited by papers focused on Genetic Neurodegenerative Diseases (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Mitochondrial Function and Pathology (2 papers). Gaëtan Després collaborates with scholars based in France, Slovakia and Portugal. Gaëtan Després's co-authors include Antonin Lamazière, Nathalie Cartier, Sandrine Bétuing, Jocelyne Caboche, Sandro Alves, Nicolas Heck, Anabelle Planques, Patrick Aubourg, Susanne Bolte and Amélie Hu and has published in prestigious journals such as Brain, Nutrients and Acta Neuropathologica.

In The Last Decade

Gaëtan Després

8 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaëtan Després France 5 196 114 113 42 39 8 320
Amélie Hu Germany 4 194 1.0× 71 0.6× 122 1.1× 38 0.9× 17 0.4× 6 280
Jonathan van Eyll Belgium 9 289 1.5× 98 0.9× 69 0.6× 32 0.8× 13 0.3× 14 434
Odetta Antico United Kingdom 7 200 1.0× 21 0.2× 39 0.3× 92 2.2× 22 0.6× 14 320
Dana Krämer Italy 7 226 1.2× 20 0.2× 70 0.6× 47 1.1× 21 0.5× 9 419
Roger Willian de Lábio Brazil 12 238 1.2× 70 0.6× 28 0.2× 131 3.1× 12 0.3× 29 430
Patricia Mármol Sweden 6 203 1.0× 42 0.4× 72 0.6× 84 2.0× 13 0.3× 8 322
Man Ying Wong United States 6 78 0.4× 33 0.3× 42 0.4× 90 2.1× 13 0.3× 9 228
H. Greg Polites United States 8 182 0.9× 94 0.8× 106 0.9× 45 1.1× 77 2.0× 10 373
Nicolás Santander Chile 11 77 0.4× 34 0.3× 36 0.3× 29 0.7× 12 0.3× 19 337
M. Li United States 6 185 0.9× 21 0.2× 131 1.2× 41 1.0× 38 1.0× 7 413

Countries citing papers authored by Gaëtan Després

Since Specialization
Citations

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

Fields of papers citing papers by Gaëtan Després

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaëtan Després

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

All Works

8 of 8 papers shown
1.
Audouard, Emilie, Béatrix Gillet-Legrand, Serena Stanga, et al.. (2024). Modulation of Brain Cholesterol Metabolism through CYP46A1 Overexpression for Rett Syndrome. Pharmaceutics. 16(6). 756–756. 1 indexed citations
2.
Frajerman, Ariel, Boris Chaumette, Dominique Farabos, et al.. (2023). Membrane Lipids in Ultra-High-Risk Patients: Potential Predictive Biomarkers of Conversion to Psychosis. Nutrients. 15(9). 2215–2215. 4 indexed citations
3.
Shillito, Bruce, Dominique Farabos, Gaëtan Després, et al.. (2020). Lipidome variations of deep-sea vent shrimps according to acclimation pressure: A homeoviscous response?. Deep Sea Research Part I Oceanographic Research Papers. 161. 103285–103285. 16 indexed citations
4.
Serhan, Nizar, Pierre‐Luc Mouchel, Philippe de Médina, et al.. (2020). Dendrogenin A Synergizes with Cytarabine to Kill Acute Myeloid Leukemia Cells In Vitro and In Vivo. Cancers. 12(7). 1725–1725. 16 indexed citations
5.
Nóbrega, Clévio, Liliana Mendonça, Adriana Marcelo, et al.. (2019). Restoring brain cholesterol turnover improves autophagy and has therapeutic potential in mouse models of spinocerebellar ataxia. Acta Neuropathologica. 138(5). 837–858. 57 indexed citations
6.
Kacher, Radhia, Antonin Lamazière, Nicolas Heck, et al.. (2019). CYP46A1 gene therapy deciphers the role of brain cholesterol metabolism in Huntington’s disease. Brain. 142(8). 2432–2450. 78 indexed citations
7.
Alves, Sandro, Kristin Michaelsen‐Preusse, Mickaël Audrain, et al.. (2018). O5‐06‐04: AAV‐CYP46A1 BRAIN DELIVERY MITIGATES ALZHEIMER'S DISEASE: FROM MOUSE MODELS TO NON‐HUMAN PRIMATES. Alzheimer s & Dementia. 14(7S_Part_31). 1 indexed citations
8.
Alves, Sandro, Antonin Lamazière, Anabelle Planques, et al.. (2016). CYP46A1, the rate-limiting enzyme for cholesterol degradation, is neuroprotective in Huntington’s disease. Brain. 139(3). 953–970. 147 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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