A. Pecile
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
- Small Animals top 1%
- Veterinary Medicine and Surgery
Papers in
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- Veterinary Medicine and Surgery 11
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- Growth Hormone and Insulin-like Growth Factors 20
- Co-authors
- D. Groppetti (36 shared papers)Carmela Netti (38 shared papers)FRANCESCA GUIDOBONO (31 shared papers)V.R. Olgiati (8 shared papers)V. Sibilia (28 shared papers)Sergio Solbes Ferri (2 shared papers)P. C. Braga (1 shared paper)L. Martini (9 shared papers)
- Journals
- Cellular and Molecular Life Sciences (7 papers)Theriogenology (7 papers)Journal of Endocrinology (6 papers)Inflammation Research (6 papers)Veterinary Sciences (5 papers)
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
A. Pecile
122 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 112
- Behavioral Neuroscience 120
- Small Animals 244
- Endocrine and Autonomic Systems 195
- Cellular and Molecular Neuroscience 420
- Equine 31
Countries citing papers authored by A. Pecile
This map shows the geographic impact of A. 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 A. Pecile with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Pecile more than expected).
Fields of papers citing papers by A. Pecile
This network shows the impact of papers produced by A. 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 A. Pecile. The network helps show where A. Pecile may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Pecile, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1975 | 154 | |
| 2 | 1991 | 107 | |
| 3 | 1997 | 69 | |
| 4 | 2010 | 66 | |
| 5 | 1989 | 49 | |
| 6 | 1981 | 48 | |
| 7 | 1966 | 44 | |
| 8 | 2010 | 43 | |
| 9 | 2011 | 43 | |
| 10 | 1974 | 39 | |
| 11 | 2012 | 38 | |
| 12 | 1965 | 37 | |
| 13 | 1959 | 36 | |
| 14 | 1961 | 36 | |
| 15 | 1998 | 35 | |
| 16 | 1986 | 32 | |
| 17 | 1988 | 29 | |
| 18 | 2015 | 29 | |
| 19 | 2014 | 28 | |
| 20 | 2017 | 27 |
About A. Pecile
A. Pecile is a scholar working on Small Animals, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Reproductive Medicine and Cellular and Molecular Neuroscience, having authored 131 papers that have together received 1.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (20 papers), Neuropeptides and Animal Physiology (17 papers), Receptor Mechanisms and Signaling (12 papers), Veterinary Medicine and Surgery (11 papers), Mast cells and histamine (10 papers), Stress Responses and Cortisol (9 papers), Regulation of Appetite and Obesity (9 papers) and Pain Mechanisms and Treatments (8 papers). The work is most often cited by research in Behavioral Neuroscience (120 citations), Small Animals (244 citations), Endocrine and Autonomic Systems (195 citations), Cellular and Molecular Neuroscience (420 citations) and Equine (31 citations). A. Pecile has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include D. Groppetti, Carmela Netti, FRANCESCA GUIDOBONO, V.R. Olgiati, V. Sibilia, Sergio Solbes Ferri, P. C. Braga, L. Martini, V. Bronzo and Maria Luisa Sotgiu. Their work appears in journals such as Cellular and Molecular Life Sciences, Theriogenology, Journal of Endocrinology, Inflammation Research and Veterinary Sciences.
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.