Filippo Fraggetta
- Health Informatics top 2%
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- Prostate Cancer Diagnosis and Treatment 37
- Prostate Cancer Treatment and Research 33
- Oncology top 5%
- Cancer Research top 5%
- Rheumatology top 5%
- Urologic and reproductive health conditions 11
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- AI in cancer detection 25
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- Radiomics and Machine Learning in Medical Imaging 22
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- Bladder and Urothelial Cancer Treatments 10
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- Molecular Biology Techniques and Applications 8
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- Ovarian cancer diagnosis and treatment 8
- Co-authors
- Pietro PepeGiuseppe PelosiMichele PennisiGiuseppe VialeFelice PasiniAntonio GaliaAngelica SonzogniEnrica Bresaola
- Journals
- Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (4 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Filippo Fraggetta
154 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 123
- Health Informatics 56
- Pulmonary and Respiratory Medicine 1.2k
- Oncology 844
- Cancer Research 406
- Rheumatology 305
Countries citing papers authored by Filippo Fraggetta
This map shows the geographic impact of Filippo Fraggetta'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 Filippo Fraggetta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo Fraggetta more than expected).
Fields of papers citing papers by Filippo Fraggetta
This network shows the impact of papers produced by Filippo Fraggetta. 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 Filippo Fraggetta. The network helps show where Filippo Fraggetta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Filippo Fraggetta, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 14 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 28 | |
| 13 | 2021 | 69 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 24 | |
| 16 | 2020 | 1 | |
| 17 | 2019 | 10 | |
| 18 | Solitary giant sarcomatoid carcinoma of the bladder. A case report. | 2011 | 2 |
| 19 | 2008 | 14 | |
| 20 | 2004 | 32 |
About Filippo Fraggetta
Filippo Fraggetta is a scholar working on Health Informatics, Pulmonary and Respiratory Medicine and Oncology, having authored 159 papers that have together received 2.9k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (37 papers), Prostate Cancer Treatment and Research (33 papers), AI in cancer detection (25 papers), Radiomics and Machine Learning in Medical Imaging (22 papers), Urologic and reproductive health conditions (11 papers), Bladder and Urothelial Cancer Treatments (10 papers), Molecular Biology Techniques and Applications (8 papers) and Ovarian cancer diagnosis and treatment (8 papers). The work is most often cited by research in Health Informatics (56 citations), Pulmonary and Respiratory Medicine (1.2k citations) and Oncology (844 citations). Filippo Fraggetta has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Pietro Pepe, Giuseppe Pelosi, Michele Pennisi, Giuseppe Viale, Felice Pasini, Antonio Galia, Angelica Sonzogni, Enrica Bresaola, Antonio Iannucci and Patrick Maisonneuve. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología 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.