A. Pecile
Impact in
- Small Animals top 2%
- Veterinary Medicine and Surgery
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in ⓘ
-
- Receptor Mechanisms and Signaling 11
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- Growth Hormone and Insulin-like Growth Factors 20
- Co-authors
- D. Groppetti (36 shared papers)C. Netti (37 shared papers)F. Guidobono (29 shared papers)V. Sibilia (27 shared papers)V.R. Olgiati (8 shared papers)Sergio Solbes Ferri (2 shared papers)P. C. Braga (1 shared paper)V. Bronzo (10 shared papers)
- Journals
- Theriogenology (7 papers)Cellular and Molecular Life Sciences (7 papers)Inflammation Research (6 papers)Journal of Endocrinology (6 papers)Animal Reproduction Science (5 papers)
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
A. Pecile
116 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 116
- Small Animals 235
- Behavioral Neuroscience 112
- Endocrine and Autonomic Systems 181
- Cellular and Molecular Neuroscience 422
- Equine 34
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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1975 | 138 | |
| 2 | 1991 | 99 | |
| 3 | 1997 | 69 | |
| 4 | 2010 | 63 | |
| 5 | 1981 | 46 | |
| 6 | 1989 | 43 | |
| 7 | 2010 | 40 | |
| 8 | 2011 | 38 | |
| 9 | 1974 | 37 | |
| 10 | 1966 | 37 | |
| 11 | 2012 | 35 | |
| 12 | 1961 | 32 | |
| 13 | 2015 | 30 | |
| 14 | 1986 | 30 | |
| 15 | 1984 | 30 | |
| 16 | 1998 | 29 | |
| 17 | 1988 | 28 | |
| 18 | 2017 | 27 | |
| 19 | 1965 | 27 | |
| 20 | 2014 | 26 |
About A. Pecile
A. Pecile is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Small Animals and Cellular and Molecular Neuroscience, having authored 125 papers that have together received 1.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (20 papers), Neuropeptides and Animal Physiology (16 papers), Receptor Mechanisms and Signaling (11 papers), Veterinary Medicine and Surgery (11 papers), Mast cells and histamine (10 papers), Pain Mechanisms and Treatments (9 papers), Stress Responses and Cortisol (9 papers) and Regulation of Appetite and Obesity (8 papers). The work is most often cited by research in Small Animals (235 citations), Behavioral Neuroscience (112 citations), Endocrine and Autonomic Systems (181 citations), Cellular and Molecular Neuroscience (422 citations) and Equine (34 citations). A. Pecile has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include D. Groppetti, C. Netti, F. Guidobono, V. Sibilia, V.R. Olgiati, Sergio Solbes Ferri, P. C. Braga, V. Bronzo, Francesca Pagani and L. Martini. Their work appears in journals such as Theriogenology, Cellular and Molecular Life Sciences, Inflammation Research, Journal of Endocrinology and Animal Reproduction Science.
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.