C. Scarduelli
- Reproductive Medicine top 1%
- Public Health, Environmental and Occupational Health top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Obstetrics and Gynecology top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- G. RagniEdgardo SomiglianaLaura BenagliaLuigi FedeleAlessio PaffoniA. CoboAntonio CapalboGábor Vajta
- Topics
- Ovarian function and disorders (9 papers)Reproductive Biology and Fertility (8 papers)Pituitary Gland Disorders and Treatments (7 papers)
- Cited by
- Reproductive MedicineObstetrics and GynecologyPublic Health, Environmental and Occupational Health
In The Last Decade
C. Scarduelli
24 papers receiving 717 citations
Peers
Comparison fields: 5 of 55
- Reproductive Medicine 598
- Public Health, Environmental and Occupational Health 327
- Pediatrics, Perinatology and Child Health 192
- Obstetrics and Gynecology 177
- Endocrinology, Diabetes and Metabolism 120
Countries citing papers authored by C. Scarduelli
This map shows the geographic impact of C. Scarduelli'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 C. Scarduelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Scarduelli more than expected).
Fields of papers citing papers by C. Scarduelli
This network shows the impact of papers produced by C. Scarduelli. 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 C. Scarduelli. The network helps show where C. Scarduelli may publish in the future.
Co-authorship network of co-authors of C. Scarduelli
This figure shows the co-authorship network connecting the top 25 collaborators of C. Scarduelli. A scholar is included among the top collaborators of C. Scarduelli 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 C. Scarduelli. C. Scarduelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 178 | |
| 2 | 22 | |
| 3 | 74 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 54 | |
| 7 | 69 | |
| 8 | 111 | |
| 9 | 2 | |
| 10 | 42 | |
| 11 | 6 | |
| 12 | 14 | |
| 13 | 24 | |
| 14 | 29 | |
| 15 | 9 | |
| 16 | 4 | |
| 17 | 7 | |
| 18 | 7 | |
| 19 | 33 | |
| 20 | 19 |
About C. Scarduelli
C. Scarduelli is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 772 indexed citations. Recurring topics across this work include Ovarian function and disorders (9 papers), Reproductive Biology and Fertility (8 papers) and Pituitary Gland Disorders and Treatments (7 papers). The work is most often cited by research in Reproductive Medicine (598 citations), Obstetrics and Gynecology (177 citations) and Public Health, Environmental and Occupational Health (327 citations). C. Scarduelli has collaborated with scholars based in Italy, Spain and China. Frequent co-authors include G. Ragni, Edgardo Somigliana, Laura Benaglia, Luigi Fedele, Alessio Paffoni, A. Cobo, Antonio Capalbo, Gábor Vajta, Laura Rienzi and Filippo Maria Ubaldi. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Human Reproduction and Fertility and Sterility.
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.