Silvia Penco

917 total citations
35 papers, 564 citations indexed

About

Silvia Penco is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Silvia Penco has authored 35 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Cancer Research and 8 papers in Artificial Intelligence. Recurrent topics in Silvia Penco's work include Radiomics and Machine Learning in Medical Imaging (18 papers), MRI in cancer diagnosis (15 papers) and Breast Cancer Treatment Studies (9 papers). Silvia Penco is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), MRI in cancer diagnosis (15 papers) and Breast Cancer Treatment Studies (9 papers). Silvia Penco collaborates with scholars based in Italy, United Kingdom and Switzerland. Silvia Penco's co-authors include Enrico Cassano, Filippo Pesapane, Anna Rotili, Anna Carla Bozzini, Luca Nicosia, Antuono Latronico, Giorgio Maria Agazzi, Massimo Bellomi, Valeria Dominelli and Marta Cremonesi and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Roentgenology and Breast Cancer Research and Treatment.

In The Last Decade

Silvia Penco

32 papers receiving 549 citations

Peers

Silvia Penco

RNMI

PFM

PRM

Lonie R. Salkowski United States

Beatriu Reig United States

Anna Rotili Italy

Belinda Curpen Canada

Andrea Arieno United Kingdom

Mengsu Xiao China

Su Min Ha South Korea

Daly Avendaño Italy

Elżbieta Łuczyńska Poland

David Spak United States

Lonie R. Salkowski United States

Silvia Penco

245 ×0.8

RNMI

155 ×0.9

93 ×0.6

157 ×1.3

PFM

105 ×1.0

PRM

Citations per year, relative to Silvia Penco Silvia Penco (= 1×) peers Lonie R. Salkowski

Countries citing papers authored by Silvia Penco

Since Specialization

Citations

This map shows the geographic impact of Silvia Penco'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 Silvia Penco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Penco more than expected).

Fields of papers citing papers by Silvia Penco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Penco. 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 Silvia Penco. The network helps show where Silvia Penco may publish in the future.

Co-authorship network of co-authors of Silvia Penco

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

All Works

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20 of 20 papers shown

Pesapane, Filippo, Silvia Penco, Dario Monzani, et al.. (2026). Should AI results be disclosed in mammography reports? A randomised survey study of patient responses to concordant and discordant interpretations. European Radiology.

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.

Pesapane, Filippo, Anna Rotili, Valeria Dominelli, et al.. (2024). Retrospective study on the strength of magnetic resonance signs for predicting breast implant rupture: assessing the impact of radiologist expertise at a breast cancer referral center. La radiologia medica. 129(12). 1802–1811. 1 indexed citations

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

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

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

Rotili, Anna, Filippo Pesapane, Silvia Penco, et al.. (2023). An Unenhanced Breast MRI Protocol Based on Diffusion-Weighted Imaging: A Retrospective Single-Center Study on High-Risk Population for Breast Cancer. Diagnostics. 13(12). 1996–1996. 3 indexed citations

Pesapane, Filippo, Anna Rotili, Luca Nicosia, et al.. (2023). Disparities in Breast Cancer Diagnostics: How Radiologists Can Level the Inequalities. Cancers. 16(1). 130–130. 10 indexed citations

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

10.

Pesapane, Filippo, Giorgio Maria Agazzi, Anna Rotili, et al.. (2022). Prediction of the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer Patients With MRI-Radiomics: A Systematic Review and Meta-analysis. Current Problems in Cancer. 46(5). 100883–100883. 30 indexed citations

11.

Pesapane, Filippo, Chiara Trentin, Federica Ferrari, et al.. (2022). Mammography in 2022, from Computer-Aided Detection to Artificial Intelligence Applications. SHILAP Revista de lepidopterología. 49(11). 3 indexed citations

12.

Farante, Gabriel, Antonio Toesca, Francesca Magnoni, et al.. (2021). Advances and controversies in management of breast ductal carcinoma in situ (DCIS). European Journal of Surgical Oncology. 48(4). 736–741. 19 indexed citations

13.

Rotili, Anna, Rubina Manuela Trimboli, Silvia Penco, et al.. (2020). Double reading of diffusion-weighted magnetic resonance imaging for breast cancer detection. Breast Cancer Research and Treatment. 180(1). 111–120. 33 indexed citations

14.

Pesapane, Filippo, Matteo B. Suter, Anna Rotili, et al.. (2020). Will traditional biopsy be substituted by radiomics and liquid biopsy for breast cancer diagnosis and characterisation?. Medical Oncology. 37(4). 29–29. 49 indexed citations

15.

Penco, Silvia, Anna Rotili, Filippo Pesapane, et al.. (2020). MRI-guided vacuum-assisted breast biopsy: experience of a single tertiary referral cancer centre and prospects for the future. Medical Oncology. 37(5). 36–36. 12 indexed citations

16.

Suter, Matteo B., Filippo Pesapane, Giorgio Maria Agazzi, et al.. (2020). Diagnostic accuracy of contrast-enhanced spectral mammography for breast lesions: A systematic review and meta-analysis. The Breast. 53. 8–17. 51 indexed citations

17.

Latronico, Antuono, Luca Nicosia, Francesca Abbate, et al.. (2017). Atypical ductal hyperplasia: Our experience in the management and long term clinical follow-up in 71 patients. The Breast. 37. 1–5. 23 indexed citations

18.

Maisonneuve, Patrick, Simona Menna, Silvia Penco, et al.. (2014). Underestimation rate of lobular intraepithelial neoplasia in vacuum-assisted breast biopsy. European Radiology. 24(7). 1651–1658. 17 indexed citations

19.

Orsi, Franco, Silvia Penco, Guido Bonomo, et al.. (2007). Treatment of Ureterointestinal Anastomotic Strictures by Diathermal or Cryoplastic Dilatation. CardioVascular and Interventional Radiology. 30(5). 943–949. 8 indexed citations

20.

Orsi, Franco, et al.. (2004). Percutaneous placement of peritoneal port-catheter in oncologic patients. European Radiology. 14(11). 2020–2024. 7 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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