Martine Collinet

524 citations
17 papers · 446 · h-index 11

Impact in

  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies
  • Biochemistry top 10%
    • Lipid metabolism and biosynthesis

Papers in

Martine Collinet

17 papers receiving 433 citations

Peers

Martine Collinet
Comparison fields: 5 of 70
  • Physiology 210
  • Biochemistry 49
  • Cancer Research 57
  • Molecular Biology 234
  • Endocrine and Autonomic Systems 22
Replace Vivian A. Paschoal with:
Vivian A. Paschoal United States
Weisheng Xie United States
Eliška Páleníčková Czechia
Céline Gaudel France
Daniel Fernández-Moreira Spain
Meiyi Zhou China
Marie-Hélène Grazide France
Kristen C. Cooke Australia
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Citations per field
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Citations per year

Countries citing papers authored by Martine Collinet

Since Specialization
Citations

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

Fields of papers citing papers by Martine Collinet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2010108
2 200896
3 200756
4 200538
5 199125
6 200723
7 199715
8 200715
9 201014
10 199912
11 198712
12 20109
13
[Regulation of insulin receptor expression and its gene].
19937
14 20166
15 19894
16 19984
17 20182

About Martine Collinet

Martine Collinet is a scholar working on Molecular Biology, Physiology, Biochemistry, Inorganic Chemistry and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 446 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (6 papers), Adipose Tissue and Metabolism (5 papers), Lipid metabolism and biosynthesis (3 papers), Vanadium and Halogenation Chemistry (3 papers), Neuropeptides and Animal Physiology (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Physiology (210 citations), Biochemistry (49 citations), Cancer Research (57 citations), Molecular Biology (234 citations) and Endocrine and Autonomic Systems (22 citations). Martine Collinet has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include Claude Forest, Chantal Benelli, Sylvie Bortoli, Jean‐Marc Blouin, Thomas Cadoudal, Graziella Penot, Emilie Distel, Sylvie Durant, Françoise Fouque and Pierre Laurent‐Puig. Their work appears in journals such as Biochimie, Endocrinology, Peptides, European Journal of Endocrinology and European Journal of Biochemistry.

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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