Massimo Calabrese

102 papers and 2.2k indexed citations i.

About

Massimo Calabrese is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Massimo Calabrese has authored 102 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Pulmonary and Respiratory Medicine and 25 papers in Artificial Intelligence. Recurrent topics in Massimo Calabrese’s work include Digital Radiography and Breast Imaging (26 papers), AI in cancer detection (25 papers) and Breast Lesions and Carcinomas (24 papers). Massimo Calabrese is often cited by papers focused on Digital Radiography and Breast Imaging (26 papers), AI in cancer detection (25 papers) and Breast Lesions and Carcinomas (24 papers). Massimo Calabrese collaborates with scholars based in Italy, Australia and United Kingdom. Massimo Calabrese's co-authors include Alberto Tagliafico, Nehmat Houssami, Francesca Valdora, Federica Rossi, Bianca Bignotti, Francesco Monetti, Alessio Signori, Giulio Tagliafico, Giovanna Mariscotti and Carlo Martinoli and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Radiology.

In The Last Decade

Co-authorship network of co-authors of Massimo Calabrese i

Fields of papers citing papers by Massimo Calabrese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Calabrese

Since Specialization
Citations

This map shows the geographic impact of Massimo Calabrese'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 Massimo Calabrese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Calabrese 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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2025