Silvia Penco

31 papers and 439 indexed citations i.

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 31 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Cancer Research and 7 papers in Artificial Intelligence. Recurrent topics in Silvia Penco’s work include Radiomics and Machine Learning in Medical Imaging (16 papers), MRI in cancer diagnosis (13 papers) and Breast Cancer Treatment Studies (9 papers). Silvia Penco is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (16 papers), MRI in cancer diagnosis (13 papers) and Breast Cancer Treatment Studies (9 papers). Silvia Penco collaborates with scholars based in Italy, United Kingdom and Malta. Silvia Penco's co-authors include Enrico Cassano, Filippo Pesapane, Anna Rotili, Anna Carla Bozzini, Luca Nicosia, Antuono Latronico, Massimo Bellomi, Giorgio Maria Agazzi, Valeria Dominelli and Matteo B. Suter and has published in prestigious journals such as American Journal of Roentgenology, Breast Cancer Research and Treatment and European Radiology.

In The Last Decade

Co-authorship network of co-authors of Silvia Penco i

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.

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).

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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