Alberto M Pedroncelli
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 10%
- Epidemiology top 10%
- Molecular Biology
- Genetics
- Co-authors
- Maria FleseriuMônica R. GadelhaThierry BrueIlan ShimonG. PaganiMarcello D. BronsteinGérald RaverotMirtha Guitelman
- Topics
- Pituitary Gland Disorders and Treatments (49 papers)Growth Hormone and Insulin-like Growth Factors (27 papers)Adrenal Hormones and Disorders (24 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismThe Lancet Diabetes & EndocrinologyClinical Endocrinology
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Alberto M Pedroncelli
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 58
- Endocrinology, Diabetes and Metabolism 1.1k
- Surgery 480
- Epidemiology 256
- Molecular Biology 97
- Genetics 76
Countries citing papers authored by Alberto M Pedroncelli
This map shows the geographic impact of Alberto M Pedroncelli'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 Alberto M Pedroncelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto M Pedroncelli more than expected).
Fields of papers citing papers by Alberto M Pedroncelli
This network shows the impact of papers produced by Alberto M Pedroncelli. 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 Alberto M Pedroncelli. The network helps show where Alberto M Pedroncelli may publish in the future.
Co-authorship network of co-authors of Alberto M Pedroncelli
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto M Pedroncelli. A scholar is included among the top collaborators of Alberto M Pedroncelli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alberto M Pedroncelli. Alberto M Pedroncelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 25 | |
| 13 | 66 | |
| 14 | 40 | |
| 15 | 15 | |
| 16 | 284 | |
| 17 | 29 | |
| 18 | 15 | |
| 19 | 153 | |
| 20 | 10 |
About Alberto M Pedroncelli
Alberto M Pedroncelli is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (49 papers), Growth Hormone and Insulin-like Growth Factors (27 papers) and Adrenal Hormones and Disorders (24 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Surgery (480 citations) and Epidemiology (256 citations). Alberto M Pedroncelli has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Maria Fleseriu, Mônica R. Gadelha, Thierry Brue, Ilan Shimon, G. Pagani, Marcello D. Bronstein, Gérald Raverot, Mirtha Guitelman, Rosario Pivonello and M Montini. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The Lancet Diabetes & Endocrinology and Clinical Endocrinology.
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.