Federica Buonocore
- Molecular Biology
- Genetics
- Endocrinology, Diabetes and Metabolism top 10%
- Reproductive Medicine
- Urology top 10%
- Co-authors
- John C. AchermannJenifer P. SuntharalinghamAndrew DuncanIgnacio del ValleSinead McGlacken‐ByrneSarah E. HoeyRobert J. WilliamsVictoria J. Hammond
- Topics
- Sexual Differentiation and Disorders (8 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers)Adrenal Hormones and Disorders (6 papers)
- Partner nations
- United KingdomIndiaTürkiye
In The Last Decade
Federica Buonocore
20 papers receiving 346 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 227
- Genetics 151
- Endocrinology, Diabetes and Metabolism 139
- Reproductive Medicine 40
- Urology 38
Countries citing papers authored by Federica Buonocore
This map shows the geographic impact of Federica Buonocore'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 Federica Buonocore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Buonocore more than expected).
Fields of papers citing papers by Federica Buonocore
This network shows the impact of papers produced by Federica Buonocore. 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 Federica Buonocore. The network helps show where Federica Buonocore may publish in the future.
Co-authorship network of co-authors of Federica Buonocore
This figure shows the co-authorship network connecting the top 25 collaborators of Federica Buonocore. A scholar is included among the top collaborators of Federica Buonocore 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 Federica Buonocore. Federica Buonocore 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 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 10 | |
| 12 | 4 | |
| 13 | 23 | |
| 14 | 2 | |
| 15 | 50 | |
| 16 | 12 | |
| 17 | 1 | |
| 18 | 128 | |
| 19 | 1 | |
| 20 | 28 |
About Federica Buonocore
Federica Buonocore is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 24 papers that have together received 352 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (8 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers) and Adrenal Hormones and Disorders (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (139 citations), Urology (38 citations) and Genetics (151 citations). Federica Buonocore has collaborated with scholars based in United Kingdom, India and Türkiye. Frequent co-authors include John C. Achermann, Jenifer P. Suntharalingham, Andrew Duncan, Ignacio del Valle, Sinead McGlacken‐Byrne, Sarah E. Hoey, Robert J. Williams, Victoria J. Hammond, Michael S. Perkinton and Louise Metherell. Their work appears in journals such as Nature Communications, 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.