Sabrina Chiloiro
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 10%
- Epidemiology top 10%
- Genetics top 5%
- Molecular Biology
- Co-authors
- Laura De MarinisAntonella GiampietroAntonio BianchiAlfredo PontecorviTommaso TartaglioneCarmelo AnileAndrea GiustinaGuido Rindi
- Topics
- Pituitary Gland Disorders and Treatments (74 papers)Growth Hormone and Insulin-like Growth Factors (42 papers)Adrenal and Paraganglionic Tumors (21 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismInternational Journal of Molecular SciencesTrends in Endocrinology and Metabolism
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Sabrina Chiloiro
81 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 81
- Endocrinology, Diabetes and Metabolism 985
- Surgery 374
- Epidemiology 255
- Genetics 229
- Molecular Biology 159
Countries citing papers authored by Sabrina Chiloiro
This map shows the geographic impact of Sabrina Chiloiro'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 Sabrina Chiloiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabrina Chiloiro more than expected).
Fields of papers citing papers by Sabrina Chiloiro
This network shows the impact of papers produced by Sabrina Chiloiro. 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 Sabrina Chiloiro. The network helps show where Sabrina Chiloiro may publish in the future.
Co-authorship network of co-authors of Sabrina Chiloiro
This figure shows the co-authorship network connecting the top 25 collaborators of Sabrina Chiloiro. A scholar is included among the top collaborators of Sabrina Chiloiro 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 Sabrina Chiloiro. Sabrina Chiloiro 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 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 13 | |
| 14 | 25 | |
| 15 | 12 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | 17 | |
| 19 | 19 | |
| 20 | 59 |
About Sabrina Chiloiro
Sabrina Chiloiro is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Neurology, having authored 93 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (74 papers), Growth Hormone and Insulin-like Growth Factors (42 papers) and Adrenal and Paraganglionic Tumors (21 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (985 citations), Genetics (229 citations) and Neurology (157 citations). Sabrina Chiloiro has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Laura De Marinis, Antonella Giampietro, Antonio Bianchi, Alfredo Pontecorvi, Tommaso Tartaglione, Carmelo Anile, Andrea Giustina, Guido Rindi, Marilda Mormando and Francesco Doglietto. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Molecular Sciences and Trends in Endocrinology and 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.