Danielle Naville

3.8k citations
84 papers · 3.0k · h-index 31

Impact in

Papers in

Danielle Naville

84 papers receiving 2.9k citations

Peers

Danielle Naville
Comparison fields: 5 of 108
  • Endocrine and Autonomic Systems 555
  • Endocrinology, Diabetes and Metabolism 999
  • Behavioral Neuroscience 167
  • Health, Toxicology and Mutagenesis 384
  • Nutrition and Dietetics 394
Replace Martine Bégeot with:
Martine Bégeot France
Marı́a Jesús Obregón Spain
Tetsuya Tagami Japan
Michael M. Kaplan United States
Karen K. Ryan United States
Marcia Hiriart Mexico
V. Sibilia Italy
Hans van Toor Netherlands
Koshi Hashimoto Japan
Say Viengchareun France
Danielle Naville relative to Martine Bégeot France Martine Bégeot's profile →
Citations per field
00.5×3.7×
Martine Bégeot · 1×
Citations per year

Countries citing papers authored by Danielle Naville

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Naville

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005324
2 2000230
3 2011129
4 1994128
5 2003124
6 2009111
7 201796
8 198981
9 201873
10 199669
11 201360
12 198756
13 199054
14 198953
15 199451
16 199150
17 199049
18 199147
19 199447
20 199144

About Danielle Naville

Danielle Naville is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Endocrine and Autonomic Systems, Genetics and Cell Biology, having authored 84 papers that have together received 3.0k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (23 papers), Regulation of Appetite and Obesity (15 papers), Adrenal Hormones and Disorders (14 papers), Effects and risks of endocrine disrupting chemicals (14 papers), Adipose Tissue and Metabolism (13 papers), Receptor Mechanisms and Signaling (12 papers), Aldose Reductase and Taurine (10 papers) and Biochemical Analysis and Sensing Techniques (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (555 citations), Endocrinology, Diabetes and Metabolism (999 citations), Behavioral Neuroscience (167 citations), Health, Toxicology and Mutagenesis (384 citations) and Nutrition and Dietetics (394 citations). Danielle Naville has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Martine Bégeot, Hubert Vidal, Brigitte Le Magueresse‐Battistoni, J.M. Saez, J. Ian Mason, Pierre Chatelain, J.M. Saez, William E. Rainey, Armelle Penhoat and Philippe Durand. Their work appears in journals such as Molecular and Cellular Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Endocrinology, Endocrine Research and PLoS ONE.

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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