Francesco Alfredo Zito

48 papers and 760 indexed citations i.

About

Francesco Alfredo Zito is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Francesco Alfredo Zito has authored 48 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Oncology and 9 papers in Surgery. Recurrent topics in Francesco Alfredo Zito’s work include AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Breast Cancer Treatment Studies (6 papers). Francesco Alfredo Zito is often cited by papers focused on AI in cancer detection (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Breast Cancer Treatment Studies (6 papers). Francesco Alfredo Zito collaborates with scholars based in Italy, India and United Kingdom. Francesco Alfredo Zito's co-authors include Anita Mangia, Stefania Tommasi, Angelo Paradiso, Girolamo Ranieri, Paolo Riccio, Rosanna Lacalamita, A. Fasano, Francesco Schittulli, P. Cavatorta and Concetta Saponaro and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Francesco Alfredo Zito i

Fields of papers citing papers by Francesco Alfredo Zito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco Alfredo Zito. 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 Francesco Alfredo Zito. The network helps show where Francesco Alfredo Zito may publish in the future.

Countries citing papers authored by Francesco Alfredo Zito

Since Specialization
Citations

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