Filippo Pesapane

3.8k total citations
121 papers, 2.3k citations indexed

About

Filippo Pesapane is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Filippo Pesapane has authored 121 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Radiology, Nuclear Medicine and Imaging, 37 papers in Pulmonary and Respiratory Medicine and 22 papers in Artificial Intelligence. Recurrent topics in Filippo Pesapane's work include Radiomics and Machine Learning in Medical Imaging (36 papers), MRI in cancer diagnosis (28 papers) and AI in cancer detection (21 papers). Filippo Pesapane is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (36 papers), MRI in cancer diagnosis (28 papers) and AI in cancer detection (21 papers). Filippo Pesapane collaborates with scholars based in Italy, United Kingdom and United States. Filippo Pesapane's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Human Molecular Genetics.

In The Last Decade

Filippo Pesapane

112 papers receiving 2.3k citations

Peers

Filippo Pesapane
Lucian Beer Austria
Marc Kohli United States
Garry Choy United States
Christopher Abbosh United Kingdom
Benjamin H. Kann United States
Kaustav Bera United States
Rivka R. Colen United States
Lucian Beer Austria
Filippo Pesapane
Citations per year, relative to Filippo Pesapane Filippo Pesapane (= 1×) peers Lucian Beer

Countries citing papers authored by Filippo Pesapane

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Filippo Pesapane

This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Pesapane. A scholar is included among the top collaborators of Filippo Pesapane 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 Filippo Pesapane. Filippo Pesapane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Pesapane, Filippo & Francesco Sardanelli. (2025). Keeping AI in medicine and radiology within the framework of scientific method: measuring to close the epistemic gap. Insights into Imaging. 16(1). 287–287.
3.
Lisa, Andrea, Luca Nicosia, Anna Carla Bozzini, et al.. (2025). Radiological Insights into Acellular Dermal Matrix Integration in Post-Mastectomy Breast Reconstruction: Implications for Cancer Patient Management. Cancers. 17(6). 933–933. 1 indexed citations
4.
Nicosia, Luca, Aurora Gaeta, Sara Raimondi, et al.. (2025). Preliminary Evaluation of Radiomics in Contrast-Enhanced Mammography for Prognostic Prediction of Breast Cancer. Cancers. 17(12). 1926–1926.
5.
Pesapane, Filippo, Luca Nicosia, Anna Rotili, et al.. (2025). Contrast Agents in Breast MRI: State of the Art and Future Perspectives. Biomedicines. 13(4). 829–829.
6.
Nicosia, Luca, Massimo Venturini, Federico Fontana, et al.. (2024). Contrast-enhanced mammography BI-RADS: a case-based approach to radiology reporting. Insights into Imaging. 15(1). 37–37. 10 indexed citations
7.
Nicosia, Luca, Luciano Inácio Mariano, Antuono Latronico, et al.. (2024). Exploring non-surgical alternatives for low to intermediate-grade in situ ductal carcinoma of the breast using vacuum-assisted excision: the VACIS protocol. Frontiers in Medicine. 11. 1467738–1467738.
8.
Nicosia, Luca, Samuele Frassoni, Vincenzo Bagnardi, et al.. (2024). Influence of Breast Density and Menopausal Status on Background Parenchymal Enhancement in Contrast-Enhanced Mammography: Insights from a Retrospective Analysis. Cancers. 17(1). 11–11. 2 indexed citations
9.
Magnoni, Francesca, Giovanni Corso, Patrick Maisonneuve, et al.. (2024). Comparison of long-term outcome between clinically high risk lobular versus ductal breast cancer: a propensity score matched study. EClinicalMedicine. 71. 102552–102552. 5 indexed citations
10.
Pesapane, Filippo, Renato Cuocolo, & Francesco Sardanelli. (2024). The Picasso’s skepticism on computer science and the dawn of generative AI: questions after the answers to keep “machines-in-the-loop”. European Radiology Experimental. 8(1). 81–81. 12 indexed citations
11.
Nicosia, Luca, Anna Carla Bozzini, Filippo Pesapane, et al.. (2023). Contrast-Enhanced Spectral Mammography in the Evaluation of Breast Microcalcifications: Controversies and Diagnostic Management. Healthcare. 11(4). 511–511. 9 indexed citations
12.
Pesapane, Filippo, Chiara Trentin, Federica Ferrari, et al.. (2023). Deep learning performance for detection and classification of microcalcifications on mammography. European Radiology Experimental. 7(1). 69–69. 15 indexed citations
13.
Nicosia, Luca, Anna Carla Bozzini, Filippo Pesapane, et al.. (2023). Breast Digital Tomosynthesis versus Contrast-Enhanced Mammography: Comparison of Diagnostic Application and Radiation Dose in a Screening Setting. Cancers. 15(9). 2413–2413. 15 indexed citations
14.
Pesapane, Filippo, Luciano Inácio Mariano, Francesca Magnoni, et al.. (2023). Future Directions in the Assessment of Axillary Lymph Nodes in Patients with Breast Cancer. Medicina. 59(9). 1544–1544. 6 indexed citations
15.
Pesapane, Filippo, P. De Marco, Serena Carriero, et al.. (2023). Advancements in Standardizing Radiological Reports: A Comprehensive Review. Medicina. 59(9). 1679–1679. 18 indexed citations
16.
Pesapane, Filippo, P. De Marco, Luca Nicosia, et al.. (2023). How Radiomics Can Improve Breast Cancer Diagnosis and Treatment. Journal of Clinical Medicine. 12(4). 1372–1372. 40 indexed citations
17.
Nicosia, Luca, Anna Carla Bozzini, Silvia Penco, et al.. (2022). A Model to Predict Upstaging to Invasive Carcinoma in Patients Preoperatively Diagnosed with Low-Grade Ductal Carcinoma In Situ of the Breast. Cancers. 14(2). 370–370. 8 indexed citations
18.
Pesapane, Filippo, Giorgio Maria Agazzi, Marina Codari, et al.. (2021). Comparison of Sensitivity and Specificity of Biparametric versus Multiparametric Prostate MRI in the Detection of Prostate Cancer in 431 Men with Elevated Prostate-Specific Antigen Levels. Diagnostics. 11(7). 1223–1223. 16 indexed citations
19.
Ierardi, Anna Maria, Mario Petrillo, Enrico Maria Fumarola, et al.. (2019). Percutaneous microwave ablation of uterine fibroids: correlation between shrinkage and trend symptoms. Minimally Invasive Therapy & Allied Technologies. 30(1). 33–39. 13 indexed citations
20.
Patella, Francesca, Filippo Pesapane, Enrico Maria Fumarola, et al.. (2019). Assessment of The Response of Hepatocellular Carcinoma To Interventional Radiology Treatments. Future Oncology. 15(15). 1791–1804. 8 indexed citations

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.

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