Fabio Marazzi

46 papers and 341 indexed citations i.

About

Fabio Marazzi is a scholar working on Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fabio Marazzi has authored 46 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cancer Research, 18 papers in Oncology and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fabio Marazzi’s work include Breast Cancer Treatment Studies (18 papers), Breast Lesions and Carcinomas (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Fabio Marazzi is often cited by papers focused on Breast Cancer Treatment Studies (18 papers), Breast Lesions and Carcinomas (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Fabio Marazzi collaborates with scholars based in Italy, France and Spain. Fabio Marazzi's co-authors include Vincenzo Valentini, Valeria Masiello, Luca Tagliaferri, Gianluca Franceschini, Valentina Lancellotta, Bruno Fionda, Maria Antonietta Gambacorta, Riccardo Masetti, Giuseppe Colloca and Giampaolo Tortora and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Annals of Oncology.

In The Last Decade

Co-authorship network of co-authors of Fabio Marazzi i

Fields of papers citing papers by Fabio Marazzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabio Marazzi

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025