Didier Bagnol

2.5k citations
28 papers · 2.1k indexed · h-index 13

Didier Bagnol

27 papers receiving 2.1k citations

Peers

Didier Bagnol
Comparison fields: 5 of 83
  • Endocrine and Autonomic Systems 1.0k
  • Endocrinology, Diabetes and Metabolism 601
  • Nutrition and Dietetics 543
  • Cellular and Molecular Neuroscience 524
  • Gastroenterology 125
Replace Steven M. Simasko with:
Steven M. Simasko United States
Daisuke Kohno Japan
Clémence Blouet United Kingdom
Ellen E. Ladenheim United States
Mohammad Ghatei United Kingdom
Samantha M. Fortin United States
C. Jerome United States
J.K. Chang United States
Kimberly P. Kinzig United States
D.P. Figlewicz United States
Didier Bagnol relative to Steven M. Simasko United States Steven M. Simasko's profile →
Citations per field
00.5×4.6×
Steven M. Simasko · 1×
Citations per year

Countries citing papers authored by Didier Bagnol

Since Specialization
Citations

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

Fields of papers citing papers by Didier Bagnol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202112
2 20190
3 20183
4 2008270
5 200657
6 200538
7 200012
8 2000251
9 199951
10 19997
11 1999178
12 1999343
13 19984
14 19984
15 19975
16 199776
17 1997155
18 19959
19 19937
20 19935

About Didier Bagnol

Didier Bagnol is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Gastroenterology, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (15 papers), Receptor Mechanisms and Signaling (11 papers), Regulation of Appetite and Obesity (8 papers), Pancreatic function and diabetes (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Pain Mechanisms and Treatments (3 papers), Neuroendocrine regulation and behavior (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.0k citations), Endocrinology, Diabetes and Metabolism (601 citations) and Nutrition and Dietetics (543 citations). Didier Bagnol has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Stanley J. Watson, Huda Akil, Xin‐Yun Lu, Christopher B. Kaelin, Ira Gantz, Gregory S. Barsh, David A. D’Alessio, Randy J. Seeley, Stephen C. Woods and Darleen A. Sandoval. Their work appears in journals such as Journal of Neuroscience, Gastroenterology and Diabetes.

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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