Frederic Dadoun

27 papers receiving 782 citations

Peers

Frederic Dadoun
Comparison fields: 5 of 90
  • Behavioral Neuroscience 46
  • Endocrinology, Diabetes and Metabolism 169
  • Endocrine and Autonomic Systems 67
  • Cardiology and Cardiovascular Medicine 219
  • Physiology 221
Replace Evangelia D. Zapanti with:
Evangelia D. Zapanti Greece
G. Del Rió Italy
Laura Patton Italy
Jean R. Thuma United States
Ole Græsbøll Koldkjær Denmark
Lorenza Gagliardi Italy
Konstantinos Michalakis Greece
Michael Schaab Germany
Renato Pasquali Italy
S. D. Hsieh Japan
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Citations per field
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Citations per year

Countries citing papers authored by Frederic Dadoun

Since Specialization
Citations

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

Fields of papers citing papers by Frederic Dadoun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008148
2 201193
3 201168
4 200654
5 201350
6 200746
7 199844
8 200032
9 199931
10 199830
11 201829
12 199528
13 199626
14 201522
15 201721
16 201519
17 199818
18 199610
19 19997
20 20026

About Frederic Dadoun

Frederic Dadoun is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Endocrine and Autonomic Systems, Physiology and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 803 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Stress Responses and Cortisol (5 papers), Adrenal Hormones and Disorders (4 papers), Regulation of Appetite and Obesity (4 papers), Cardiovascular Disease and Adiposity (3 papers), Obesity, Physical Activity, Diet (3 papers), Electrolyte and hormonal disorders (3 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Behavioral Neuroscience (46 citations), Endocrinology, Diabetes and Metabolism (169 citations), Endocrine and Autonomic Systems (67 citations), Cardiology and Cardiovascular Medicine (219 citations) and Physiology (221 citations). Frederic Dadoun has collaborated with scholars based in France, Luxembourg and Switzerland. Frequent co-authors include Anne Dutour, Michel Grino, Marie‐Christine Alessi, Patrice Darmon, Charles Oliver, Hanen Samouda, Georges Léonetti, Marie‐Dominique Piercecchi‐Marti, Karine Clément and Alina Cristina Silaghi. Their work appears in journals such as Journal of Endocrinology, Pediatric Diabetes, Obesity, American Journal of Physiology-Endocrinology and Metabolism and Diabetes & Metabolism.

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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