Maurizio Di Bonito

81 papers and 1.9k indexed citations i.

About

Maurizio Di Bonito is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Maurizio Di Bonito has authored 81 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Oncology, 33 papers in Cancer Research and 30 papers in Molecular Biology. Recurrent topics in Maurizio Di Bonito’s work include Breast Cancer Treatment Studies (14 papers), MRI in cancer diagnosis (13 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Maurizio Di Bonito is often cited by papers focused on Breast Cancer Treatment Studies (14 papers), MRI in cancer diagnosis (13 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Maurizio Di Bonito collaborates with scholars based in Italy, Switzerland and United States. Maurizio Di Bonito's co-authors include Gerardo Botti, Monica Cantile, Francesca Collina, Michelino De Laurentiis, Margherita Cerrone, Giosuè Scognamiglio, Massimiliano D’Aiuto, Antonella Petrillo, Roberta Fusco and Renato Franco and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Maurizio Di Bonito i

Fields of papers citing papers by Maurizio Di Bonito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maurizio Di Bonito. 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 Maurizio Di Bonito. The network helps show where Maurizio Di Bonito may publish in the future.

Countries citing papers authored by Maurizio Di Bonito

Since Specialization
Citations

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