Marcel Fourcaudot

910 citations
22 papers · 592 · h-index 11

Impact in

Papers in

Marcel Fourcaudot

21 papers receiving 587 citations

Peers

Marcel Fourcaudot
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 160
  • Orthopedics and Sports Medicine 61
  • Physiology 121
  • Molecular Biology 312
  • Nephrology 29
Replace Weixia Jian with:
Weixia Jian China
Giuseppe Scavone Italy
Yongnan Fu China
Yasumi Shintani Japan
Wilson Mejía United States
Evangelia Kalaitzoglou United States
Masakazu Notsu Japan
Ji Hu China
Xiaoyang Lai China
Rebecca Stokes Australia
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Citations per field
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Citations per year

Countries citing papers authored by Marcel Fourcaudot

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Fourcaudot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marcel Fourcaudot, 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 Marcel Fourcaudot Line = papers co-authored together Marcel Fourcaudot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015103
2 201897
3 201777
4 201170
5 200647
6 202045
7 201435
8 202119
9 202018
10 201718
11 201513
12 201710
13 200810
14 201410
15 20227
16 20175
17 20223
18 20252
19 20241
20 20191

About Marcel Fourcaudot

Marcel Fourcaudot is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology and Physiology, having authored 22 papers that have together received 592 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (7 papers), Pancreatic function and diabetes (5 papers), Adipose Tissue and Metabolism (5 papers), Epigenetics and DNA Methylation (3 papers), Diabetes Treatment and Management (3 papers), Cancer-related gene regulation (3 papers), Diet and metabolism studies (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (160 citations), Orthopedics and Sports Medicine (61 citations), Physiology (121 citations), Molecular Biology (312 citations) and Nephrology (29 citations). Marcel Fourcaudot has collaborated with scholars based in United States, Finland and Ireland. Frequent co-authors include Luke Norton, Christopher P. Jenkinson, Chris E. Shannon, Deidre A. Winnier, Ralph A. DeFronzo, Sami Heikkinen, Nikhil Acharya, Devjit Tripathy, Chris Jenkinson and Franco Folli. Their work appears in journals such as Diabetes, The Journal of Clinical Endocrinology & Metabolism, Molecular Metabolism, American Journal of Physiology-Endocrinology and Metabolism and Diabetologia.

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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