Gilberto E. Bestetti

27 papers receiving 463 citations

Peers

Gilberto E. Bestetti
Comparison fields: 5 of 57
  • Equine 48
  • Behavioral Neuroscience 98
  • Endocrine and Autonomic Systems 149
  • Endocrinology, Diabetes and Metabolism 172
  • Reproductive Medicine 74
Replace V. G. Foglia with:
V. G. Foglia Argentina
Annemarie König Germany
Gregory B. Thomas Australia
F Boudouresque France
Luis Lima Spain
Agnieszka Stępień Poland
Muneki Sakakura Japan
YOSHIHIKO AMENOMORI United States
Winfried G. Rossmanith Germany
K Pierzchała Poland
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Citations per field
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Citations per year

Countries citing papers authored by Gilberto E. Bestetti

Since Specialization
Citations

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

Fields of papers citing papers by Gilberto E. Bestetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gilberto E. Bestetti. 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 Gilberto E. Bestetti. The network helps show where Gilberto E. Bestetti may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990125
2 198566
3 199054
4 199344
5 199528
6 199322
7 198718
8 198916
9 199114
10 199411
11 199410
12 199110
13 19858
14 19927
15 19926
16 19896
17 19896
18 19895
19 19914
20 20094

About Gilberto E. Bestetti

Gilberto E. Bestetti is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Reproductive Medicine and Physiology, having authored 27 papers that have together received 482 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (12 papers), Growth Hormone and Insulin-like Growth Factors (10 papers), Stress Responses and Cortisol (10 papers), Hypothalamic control of reproductive hormones (8 papers), Birth, Development, and Health (3 papers), Adipose Tissue and Metabolism (3 papers), Biochemical effects in animals (3 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Equine (48 citations), Behavioral Neuroscience (98 citations), Endocrine and Autonomic Systems (149 citations), Endocrinology, Diabetes and Metabolism (172 citations) and Reproductive Medicine (74 citations). Gilberto E. Bestetti has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include G. L. Rossi, B. Jeanrenaud, Francesca Abramo, Vittorio Locatelli, Eugenio E. Müller, Felice Tirone, Marianne J. Reymond, Ursula Junker, R. Straub and Andrea Boari. Their work appears in journals such as Diabetes, Endocrinology, Journal of Comparative Pathology, Brain Research and Journal of Nutrition.

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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