Antonio Pecile

23 papers receiving 539 citations

Peers

Antonio Pecile
Comparison fields: 5 of 74
  • Behavioral Neuroscience 77
  • Endocrine and Autonomic Systems 117
  • Cellular and Molecular Neuroscience 330
  • Anesthesiology and Pain Medicine 43
  • Endocrinology, Diabetes and Metabolism 128
Replace Teréz Bagoly with:
Teréz Bagoly Hungary
Emery Zimmermann United States
T.W. Smith United Kingdom
Raúl M. Muñoz Spain
Xuehong Cao United States
Nobuharu Yamaguchi Canada
I. Angel France
T. Hedner Sweden
Koichiro Takasaki Japan
Michael L. Mangiapane United States
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Citations per year

Countries citing papers authored by Antonio Pecile

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Pecile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Antonio Pecile, 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 Antonio Pecile Line = papers co-authored together Antonio Pecile links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978131
2 1983113
3 198072
4 196854
5 197953
6 197033
7 198227
8 196619
9 200214
10 198714
11 197113
12 199213
13 198311
14 19669
15
Bone regulatory factors : morphology, biochemistry, physiology, and pharmacology
19908
16
Hormonal steroids : biochemistry, pharmacology, and therapeutics : proceedings of the first International Congress on Hormonal Steroids
19648
17 19908
18 20005
19
Growth hormone : proceedings of the First International Symposium, Milan, Italy, September 11-13, 1967
19683
20 20082

About Antonio Pecile

Antonio Pecile is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Behavioral Neuroscience, Cellular and Molecular Neuroscience and Physiology, having authored 24 papers that have together received 613 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Neuropeptides and Animal Physiology (6 papers), Regulation of Appetite and Obesity (5 papers), Neuroendocrine regulation and behavior (4 papers), Stress Responses and Cortisol (4 papers), Pain Mechanisms and Treatments (3 papers), Diet and metabolism studies (3 papers) and Mast cells and histamine (2 papers). The work is most often cited by research in Behavioral Neuroscience (77 citations), Endocrine and Autonomic Systems (117 citations), Cellular and Molecular Neuroscience (330 citations), Anesthesiology and Pain Medicine (43 citations) and Endocrinology, Diabetes and Metabolism (128 citations). Antonio Pecile has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include V.R. Olgiati, Carmela Netti, FRANCESCA GUIDOBONO, Eugenio E. Müller, Angela Santagostino, Sergio Solbes Ferri, P. C. Braga, Roberto Ceserani, Mario Colombo and Benedetto de Bernard. Their work appears in journals such as Endocrinology, Neuroendocrinology, Life Sciences, Brain Research and Neuroreport.

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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