Gian Pio Sorice
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Molecular Biology
- Physiology top 10%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Andrea GiaccariGiovanna MuscogiuriTeresa MezzaAlfredo PontecorviAnnamaria PriolettaC. CefaloFrancesca CintiSimona Moffa
- Topics
- Pancreatic function and diabetes (15 papers)Diabetes Treatment and Management (12 papers)Metabolism, Diabetes, and Cancer (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- ItalyUnited StatesDenmark
In The Last Decade
Gian Pio Sorice
45 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 101
- Endocrinology, Diabetes and Metabolism 683
- Surgery 520
- Molecular Biology 399
- Physiology 359
- Pathology and Forensic Medicine 337
Countries citing papers authored by Gian Pio Sorice
This map shows the geographic impact of Gian Pio Sorice'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 Gian Pio Sorice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gian Pio Sorice more than expected).
Fields of papers citing papers by Gian Pio Sorice
This network shows the impact of papers produced by Gian Pio Sorice. 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 Gian Pio Sorice. The network helps show where Gian Pio Sorice may publish in the future.
Co-authorship network of co-authors of Gian Pio Sorice
This figure shows the co-authorship network connecting the top 25 collaborators of Gian Pio Sorice. A scholar is included among the top collaborators of Gian Pio Sorice 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 Gian Pio Sorice. Gian Pio Sorice is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 58 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 16 | |
| 11 | 130 | |
| 12 | 79 | |
| 13 | 13 | |
| 14 | 40 | |
| 15 | Metabolic syndrome in transplant patients: an updating point of view. | 3 |
| 16 | 120 | |
| 17 | 1 | |
| 18 | 123 | |
| 19 | 10 | |
| 20 | 81 |
About Gian Pio Sorice
Gian Pio Sorice is a scholar working on Endocrinology, Diabetes and Metabolism, Transplantation and Physiology, having authored 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (15 papers), Diabetes Treatment and Management (12 papers) and Metabolism, Diabetes, and Cancer (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (683 citations), Pathology and Forensic Medicine (337 citations) and Physiology (359 citations). Gian Pio Sorice has collaborated with scholars based in Italy, United States and Denmark. Frequent co-authors include Andrea Giaccari, Giovanna Muscogiuri, Teresa Mezza, Alfredo Pontecorvi, Annamaria Prioletta, C. Cefalo, Francesca Cinti, Simona Moffa, Silvia Della Casa and Flavia Impronta. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.