Gaetana Cerbone
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 5%
- Molecular Biology
- Epidemiology
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Gaetano LombardiAnnamaria ColaoPaolo MarzulloDiego FeroneCarolina Di SommaRosario PivonelloStefano SpieziaAntongiulio Faggiano
- Topics
- Pituitary Gland Disorders and Treatments (18 papers)Growth Hormone and Insulin-like Growth Factors (16 papers)Adrenal and Paraganglionic Tumors (6 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismThe Journal of UrologyGastrointestinal Endoscopy
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Gaetana Cerbone
38 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 1.6k
- Surgery 605
- Molecular Biology 309
- Epidemiology 229
- Cardiology and Cardiovascular Medicine 188
Countries citing papers authored by Gaetana Cerbone
This map shows the geographic impact of Gaetana Cerbone'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 Gaetana Cerbone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaetana Cerbone more than expected).
Fields of papers citing papers by Gaetana Cerbone
This network shows the impact of papers produced by Gaetana Cerbone. 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 Gaetana Cerbone. The network helps show where Gaetana Cerbone may publish in the future.
Co-authorship network of co-authors of Gaetana Cerbone
This figure shows the co-authorship network connecting the top 25 collaborators of Gaetana Cerbone. A scholar is included among the top collaborators of Gaetana Cerbone 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 Gaetana Cerbone. Gaetana Cerbone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 44 | |
| 3 | 53 | |
| 4 | 35 | |
| 5 | 15 | |
| 6 | 39 | |
| 7 | 46 | |
| 8 | 71 | |
| 9 | 89 | |
| 10 | 62 | |
| 11 | 46 | |
| 12 | 172 | |
| 13 | 67 | |
| 14 | 17 | |
| 15 | 34 | |
| 16 | 70 | |
| 17 | 25 | |
| 18 | 118 | |
| 19 | 9 | |
| 20 | 5 |
About Gaetana Cerbone
Gaetana Cerbone is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Behavioral Neuroscience, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (18 papers), Growth Hormone and Insulin-like Growth Factors (16 papers) and Adrenal and Paraganglionic Tumors (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Surgery (605 citations) and Genetics (96 citations). Gaetana Cerbone has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Gaetano Lombardi, Annamaria Colao, Paolo Marzullo, Diego Ferone, Carolina Di Somma, Rosario Pivonello, Stefano Spiezia, Antongiulio Faggiano, Bartolomeo Merola and M Siciliani. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Urology and Gastrointestinal Endoscopy.
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.