Filippo Pesapane
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education 16
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- Radiomics and Machine Learning in Medical Imaging 36
- MRI in cancer diagnosis 28
- Hepatology top 5%
- Artificial Intelligence top 2%
- AI in cancer detection 21
- Cancer Research top 10%
- Breast Cancer Treatment Studies 17
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- Digital Radiography and Breast Imaging 16
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- Breast Lesions and Carcinomas 13
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- Global Cancer Incidence and Screening 11
- Co-authors
- Francesco SardanelliMarina CodariEnrico CassanoAnna RotiliFrancesca PatellaGianpaolo CarrafielloSilvia PencoLuca Nicosia
- Journals
- SHILAP Revista de lepidopterología (6 papers)International Journal of Molecular Sciences (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Filippo Pesapane
112 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 145
- Health Informatics 585
- Radiology, Nuclear Medicine and Imaging 1.2k
- Hepatology 213
- Artificial Intelligence 535
- Cancer Research 214
Countries citing papers authored by Filippo Pesapane
This map shows the geographic impact of Filippo Pesapane'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 Pesapane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo Pesapane more than expected).
Fields of papers citing papers by Filippo Pesapane
This network shows the impact of papers produced by Filippo Pesapane. 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 Pesapane. The network helps show where Filippo Pesapane may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Filippo Pesapane, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 12 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 15 | |
| 13 | 2023 | 15 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 18 | |
| 16 | 2023 | 40 | |
| 17 | 2022 | 8 | |
| 18 | 2021 | 16 | |
| 19 | 2019 | 13 | |
| 20 | 2019 | 8 |
About Filippo Pesapane
Filippo Pesapane is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 121 papers that have together received 2.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (36 papers), MRI in cancer diagnosis (28 papers), AI in cancer detection (21 papers), Breast Cancer Treatment Studies (17 papers), Digital Radiography and Breast Imaging (16 papers), Artificial Intelligence in Healthcare and Education (16 papers), Breast Lesions and Carcinomas (13 papers) and Global Cancer Incidence and Screening (11 papers). The work is most often cited by research in Health Informatics (585 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Hepatology (213 citations). Filippo Pesapane has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Francesco Sardanelli, Marina Codari, Enrico Cassano, Anna Rotili, Francesca Patella, Gianpaolo Carrafiello, Silvia Penco, Luca Nicosia, Anna Maria Ierardi and Anna Carla Bozzini. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Human Molecular Genetics.
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.