A. Pecile

2.1k citations
132 papers · 1.7k · h-index 23

Impact in

Papers in

A. Pecile

122 papers receiving 1.5k citations

Peers

A. Pecile
Comparison fields: 5 of 70
  • Small Animals 172
  • Cellular and Molecular Neuroscience 192
  • Endocrine and Autonomic Systems 67
  • Reproductive Medicine 86
  • Endocrinology, Diabetes and Metabolism 137
Replace Asunción López‐Calderón with:
Asunción López‐Calderón Spain
Pawel Antoni Kolodziejski Poland
Ana Isabel Martı́n Spain
Toshihiko KUMAZAWA Japan
M.A. Villanúa Spain
Roger D. Reidelberger United States
Marta S. Smith United States
Kari A. Mäkelä Finland
Mohit Kwatra India
Ricardo Lage Spain
A. Pecile relative to Asunción López‐Calderón Spain Asunción López‐Calderón's profile →
Citations per field
00.5×2×4×6×8×9.1×
Asunción López‐Calderón · 1×
Citations per year

Countries citing papers authored by A. Pecile

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with A. Pecile Line = papers co-authored together A. Pecile links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975150
2 1991106
3 199770
4 201065
5 198949
6 198148
7 201044
8 196643
9 201143
10 201239
11 197438
12 199836
13 195935
14 196535
15 196134
16 198631
17 198829
18 201428
19 201528
20 201728

About A. Pecile

A. Pecile is a scholar working on Small Animals, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Physiology, having authored 132 papers that have together received 1.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (18 papers), Neuropeptides and Animal Physiology (17 papers), Pain Mechanisms and Treatments (10 papers), Veterinary Pharmacology and Anesthesia (6 papers), Veterinary Oncology Research (6 papers), Hypothalamic control of reproductive hormones (5 papers), Bone health and osteoporosis research (5 papers) and Reproductive Physiology in Livestock (4 papers). The work is most often cited by research in Small Animals (172 citations), Cellular and Molecular Neuroscience (192 citations), Endocrine and Autonomic Systems (67 citations), Reproductive Medicine (86 citations) and Endocrinology, Diabetes and Metabolism (137 citations). A. Pecile has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include D. Groppetti, Carmela Netti, V.R. Olgiati, FRANCESCA GUIDOBONO, V. Sibilia, P. C. Braga, V. Bronzo, L. Martini, Fausto Cremonesi and Maria Luisa Sotgiu. Their work appears in journals such as Theriogenology, Cellular and Molecular Life Sciences, 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.

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