Stéphane Gesta

6.7k citations
52 papers · 5.3k · 3 hit papers · h-index 23

Impact in

Papers in

    • Coenzyme Q10 studies and effects 8
    • ATP Synthase and ATPases Research 5
    • Mitochondrial Function and Pathology 5
    • Adipose Tissue and Metabolism 16

Stéphane Gesta

45 papers receiving 5.2k citations

Stéphane Gesta's Hit Papers

Beneficial Effects of Subcutaneous Fat Transplantation on Metabolism 2008 · 565 citations
5650+7+14Years since publication2505007501000

Peers

Stéphane Gesta
Comparison fields: 5 of 115
  • Geriatrics and Gerontology 323
  • Physiology 2.4k
  • Aging 102
  • Epidemiology 1.7k
  • Pharmacology 716
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Citations per field
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Citations per year

Countries citing papers authored by Stéphane Gesta

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Gesta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stéphane Gesta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stéphane Gesta Line = papers co-authored together Stéphane Gesta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Developmental Origin of Fat: Tracking Obesity to Its Source
Hit paper breakdown →
20071151
2
Apelin, a Newly Identified Adipokine Up-Regulated by Insulin and Obesity
Hit paper breakdown →
2005724
3
Beneficial Effects of Subcutaneous Fat Transplantation on Metabolism
Hit paper breakdown →
2008565
4 2006477
5 2007396
6 2012248
7 2008233
8 2003200
9 2006182
10 2010143
11 2007122
12 2003121
13 2009109
14 200779
15 200478
16 201173
17 200262
18 201159
19 200359
20 202245

About Stéphane Gesta

Stéphane Gesta is a scholar working on Molecular Biology, Physiology, Epidemiology, Cancer Research and Genetics, having authored 52 papers that have together received 5.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (16 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Cancer, Hypoxia, and Metabolism (9 papers), Coenzyme Q10 studies and effects (8 papers), ATP Synthase and ATPases Research (5 papers), Mitochondrial Function and Pathology (5 papers), Glioma Diagnosis and Treatment (5 papers) and Lipid metabolism and biosynthesis (4 papers). The work is most often cited by research in Geriatrics and Gerontology (323 citations), Physiology (2.4k citations), Aging (102 citations), Epidemiology (1.7k citations) and Pharmacology (716 citations). Stéphane Gesta has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include C. Ronald Kahn, Yu‐Hua Tseng, Yuji Yamamoto, Thien T. Tran, Jérémie Boucher, Enxuan Jing, Philippe Valet, Jean Sébastien Saulnier‐Blache, Matthias Blüher and Danièle Daviaud. Their work appears in journals such as Cancer Research, Proceedings of the National Academy of Sciences, Diabetes, Cell Metabolism and The FASEB Journal.

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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