Danielle Carmignac

47 papers receiving 2.5k citations

Peers

Danielle Carmignac
Comparison fields: 5 of 109
  • Aging 299
  • Endocrine and Autonomic Systems 484
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Behavioral Neuroscience 96
  • Physiology 547
Replace Iain C. A. F. Robinson with:
Iain C. A. F. Robinson United Kingdom
A. Bartke United States
Melanie Clements United Kingdom
Patricia Leneuve France
Michael D. Conkright United States
Manuel Ros Spain
Lêda S. Felicio United States
Michael G. Rosenfeld United States
Shannon E. Mullican United States
Chijen R. Lin United States
Danielle Carmignac relative to Iain C. A. F. Robinson United Kingdom Iain C. A. F. Robinson's profile →
Citations per field
00.5×1.5×
Iain C. A. F. Robinson · 1×
Citations per year

Countries citing papers authored by Danielle Carmignac

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Carmignac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007448
2 2008254
3 2004253
4 2005141
5 1995107
6 2012106
7 200398
8 200977
9 199075
10 199675
11 201071
12 201064
13 200062
14 201061
15 200351
16 199348
17 199244
18 200542
19 201440
20 199839

About Danielle Carmignac

Danielle Carmignac is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Surgery, Genetics and Endocrine and Autonomic Systems, having authored 47 papers that have together received 2.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (24 papers), Pancreatic function and diabetes (8 papers), Lipid metabolism and disorders (6 papers), Diet and metabolism studies (5 papers), Regulation of Appetite and Obesity (5 papers), Stress Responses and Cortisol (4 papers), Plant nutrient uptake and metabolism (3 papers) and Hypothalamic control of reproductive hormones (3 papers). The work is most often cited by research in Aging (299 citations), Endocrine and Autonomic Systems (484 citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Behavioral Neuroscience (96 citations) and Physiology (547 citations). Danielle Carmignac has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Iain C. A. F. Robinson, Iain C.A.F. Robinson, Patrice Mollard, I. C. A. F. Robinson, Britt G. Gabrielsson, Silvia Brunelli, Paul Q. Thomas, Robin Lovell‐Badge, Karine Rizzoti and D Flavell. Their work appears in journals such as Endocrinology, Histochemistry and Cell Biology, Neuroendocrinology, Proceedings of the National Academy of Sciences and The Journal of Immunology.

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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