Nicola Sicolo
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Surgery top 10%
- Epidemiology
- Co-authors
- Pietro MaffeiRoberto VettorGiovanni FederspilJan D. MarshallJürgen Κ. NaggertChiara MartiniGayle B. CollinSebastian Beck
- Topics
- Pituitary Gland Disorders and Treatments (18 papers)Growth Hormone and Insulin-like Growth Factors (12 papers)Neuroendocrine Tumor Research Advances (9 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Nicola Sicolo
65 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Genetics 536
- Endocrinology, Diabetes and Metabolism 454
- Molecular Biology 369
- Surgery 294
- Epidemiology 160
Countries citing papers authored by Nicola Sicolo
This map shows the geographic impact of Nicola Sicolo'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 Nicola Sicolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicola Sicolo more than expected).
Fields of papers citing papers by Nicola Sicolo
This network shows the impact of papers produced by Nicola Sicolo. 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 Nicola Sicolo. The network helps show where Nicola Sicolo may publish in the future.
Co-authorship network of co-authors of Nicola Sicolo
This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Sicolo. A scholar is included among the top collaborators of Nicola Sicolo 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 Nicola Sicolo. Nicola Sicolo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 6 | |
| 3 | 42 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 39 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 49 | |
| 10 | 12 | |
| 11 | 10 | |
| 12 | 18 | |
| 13 | 50 | |
| 14 | 19 | |
| 15 | 19 | |
| 16 | INCREASED MUSCULAR PHOSPHOLIPASE-A2 ACTIVITY IN DIABETIC RATS | 7 |
| 17 | 2 | |
| 18 | Possible involvement of endogenous opioids in beta-cell hyperresponsiveness in human obesity. | 4 |
| 19 | 1 | |
| 20 | Medical treatment of endogenous organic hyperinsulinism. | 4 |
About Nicola Sicolo
Nicola Sicolo is a scholar working on Endocrinology, Diabetes and Metabolism, Gastroenterology and Reproductive Medicine, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (18 papers), Growth Hormone and Insulin-like Growth Factors (12 papers) and Neuroendocrine Tumor Research Advances (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (454 citations), Genetics (536 citations) and Reproductive Medicine (118 citations). Nicola Sicolo has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Pietro Maffei, Roberto Vettor, Giovanni Federspil, Jan D. Marshall, Jürgen Κ. Naggert, Chiara Martini, Gayle B. Collin, Sebastian Beck, Patsy M. Nishina and Isabelle Russell‐Eggitt. Their work appears in journals such as Nature Genetics, 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.