N. Scorpiglione
- Endocrinology, Diabetes and Metabolism top 10%
- Oncology
- Epidemiology
- Surgery
- Obstetrics and Gynecology top 10%
- Co-authors
- Antonio NicolucciFabrizio CarinciD. CavaliereM. Massi BenedettiGianni TognoniF CapaniMaurizio BelfiglioE. Mari
- Topics
- Global Cancer Incidence and Screening (3 papers)Diabetes Management and Education (3 papers)Breast Cancer Treatment Studies (3 papers)
- Partner nations
- ItalyEgyptUnited States
In The Last Decade
N. Scorpiglione
16 papers receiving 452 citations
Peers
Comparison fields: 5 of 75
- Endocrinology, Diabetes and Metabolism 168
- Oncology 96
- Epidemiology 94
- Surgery 78
- Obstetrics and Gynecology 73
Countries citing papers authored by N. Scorpiglione
This map shows the geographic impact of N. Scorpiglione'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 N. Scorpiglione with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Scorpiglione more than expected).
Fields of papers citing papers by N. Scorpiglione
This network shows the impact of papers produced by N. Scorpiglione. 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 N. Scorpiglione. The network helps show where N. Scorpiglione may publish in the future.
Co-authorship network of co-authors of N. Scorpiglione
This figure shows the co-authorship network connecting the top 25 collaborators of N. Scorpiglione. A scholar is included among the top collaborators of N. Scorpiglione 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 N. Scorpiglione. N. Scorpiglione is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 61 | |
| 2 | 20 | |
| 3 | 23 | |
| 4 | 82 | |
| 5 | 25 | |
| 6 | 17 | |
| 7 | 48 | |
| 8 | 99 | |
| 9 | 26 | |
| 10 | 24 | |
| 11 | [Geographic variability in the appropriateness of surgical treatment of breast carcinoma]. | 1 |
| 12 | 17 | |
| 13 | 16 | |
| 14 | 12 | |
| 15 | Is proper methodology associated with the use of a clinically relevant outcome measure? The case of randomized clinical trials on medical treatment of open-angle glaucoma. | 6 |
| 16 | Breast cancer surgery in 30 Italian general hospitals. | 7 |
About N. Scorpiglione
N. Scorpiglione is a scholar working on Anatomy, Endocrinology, Diabetes and Metabolism and Internal Medicine, having authored 16 papers that have together received 484 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (3 papers), Diabetes Management and Education (3 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (168 citations), Obstetrics and Gynecology (73 citations) and Internal Medicine (17 citations). N. Scorpiglione has collaborated with scholars based in Italy, Egypt and United States. Frequent co-authors include Antonio Nicolucci, Fabrizio Carinci, D. Cavaliere, M. Massi Benedetti, Gianni Tognoni, F Capani, Maurizio Belfiglio, E. Mari, A. Liberati and Chiara Cerletti. Their work appears in journals such as Diabetes Care, American Journal of Public Health and Journal of Clinical Epidemiology.
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.