F. Mascilini
- Reproductive Medicine top 0.5%
- Ovarian cancer diagnosis and treatment 54
- Endometriosis Research and Treatment 25
- Obstetrics and Gynecology top 1%
- Endometrial and Cervical Cancer Treatments 38
- Uterine Myomas and Treatments 11
- Surgery top 10%
- Intraperitoneal and Appendiceal Malignancies 17
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- Radiomics and Machine Learning in Medical Imaging 5
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- Cancer Risks and Factors 6
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- Cervical Cancer and HPV Research 6
F. Mascilini
70 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 53
- Reproductive Medicine 828
- Obstetrics and Gynecology 610
- Surgery 314
- Radiology, Nuclear Medicine and Imaging 90
- Health Informatics 5
Countries citing papers authored by F. Mascilini
This map shows the geographic impact of F. Mascilini'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 F. Mascilini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Mascilini more than expected).
Fields of papers citing papers by F. Mascilini
This network shows the impact of papers produced by F. Mascilini. 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 F. Mascilini. The network helps show where F. Mascilini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside F. Mascilini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 12 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 2 | |
| 16 | 2020 | 12 | |
| 17 | 2020 | 49 | |
| 18 | 2019 | 10 | |
| 19 | 2017 | 25 | |
| 20 | 2016 | 54 |
About F. Mascilini
F. Mascilini is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Surgery, Critical Care and Intensive Care Medicine and Radiology, Nuclear Medicine and Imaging, having authored 77 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (54 papers), Endometrial and Cervical Cancer Treatments (38 papers), Endometriosis Research and Treatment (25 papers), Intraperitoneal and Appendiceal Malignancies (17 papers), Uterine Myomas and Treatments (11 papers), Cancer Risks and Factors (6 papers), Cervical Cancer and HPV Research (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Reproductive Medicine (828 citations), Obstetrics and Gynecology (610 citations), Surgery (314 citations), Radiology, Nuclear Medicine and Imaging (90 citations) and Health Informatics (5 citations). F. Mascilini has collaborated with scholars based in Italy, Sweden and Belgium. Frequent co-authors include A. C. Testa, Giovanni Scambia, Gabriella Ferrandina, D. Timmerman, F. Moro, C. Van Holsbeke, E. Epstein, A. Di Legge, L. Valentin and Gian Franco Zannoni. Their work appears in journals such as Ultrasound in Obstetrics and Gynecology, International Journal of Gynecological Cancer, Gynecologic Oncology, American Journal of Obstetrics and Gynecology and Journal of Ultrasound in Medicine.
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.