Danielle Robin

25 papers receiving 561 citations

Peers

Danielle Robin
Comparison fields: 5 of 65
  • Clinical Biochemistry 139
  • Biochemistry 91
  • Physiology 280
  • Endocrine and Autonomic Systems 38
  • Molecular Biology 316
Replace Stéphane Thumelin with:
Stéphane Thumelin France
B. R. Holloway United Kingdom
Carlos Robles-Valdés Mexico
Judith P. Milsom United Kingdom
F. D. W. Lukens United States
G E Mortimore United States
JULIA M. DUERDEN United Kingdom
Maite Martinez‐Uña Spain
Ayon Ibrahim United States
Anfal Al‐Mass Canada
Danielle Robin relative to Stéphane Thumelin France Stéphane Thumelin's profile →
Citations per field
00.5×1.5×2×2.4×
Stéphane Thumelin · 1×
Citations per year

Countries citing papers authored by Danielle Robin

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Robin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199954
2 199548
3 199447
4 199537
5 199136
6 199236
7 199435
8 199333
9 198630
10 198830
11 200029
12 199728
13 199825
14 199321
15 198119
16 198818
17
Glucocorticoids antagonize retinoic acid stimulation of PEPCK gene transcription in 3T3-F442A adipocytes.
199415
18 199912
19 199711
20 198911

About Danielle Robin

Danielle Robin is a scholar working on Physiology, Clinical Biochemistry, Cell Biology, Molecular Biology and Biochemistry, having authored 26 papers that have together received 593 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Metabolism and Genetic Disorders (9 papers), Diet and metabolism studies (9 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Mitochondrial Function and Pathology (4 papers), Muscle metabolism and nutrition (3 papers), Reproductive Biology and Fertility (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Clinical Biochemistry (139 citations), Biochemistry (91 citations), Physiology (280 citations), Endocrine and Autonomic Systems (38 citations) and Molecular Biology (316 citations). Danielle Robin has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Claude D. Forest, Pierre Robin, Jocelyne Antras‐Ferry, Sylvie Franckhauser, Jean Girard, Pascal Ferré, Jean‐François Decaux, Patti A. Quant, Martin D. Brand and D K Granner. Their work appears in journals such as European Journal of Biochemistry, Journal of Nutrition, Journal of Cellular Biochemistry, Biochemical Journal and Diabetes/Metabolism Research and Reviews.

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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