Massimo Galia

134 papers and 3.2k indexed citations i.

About

Massimo Galia is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Massimo Galia has authored 134 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Radiology, Nuclear Medicine and Imaging, 41 papers in Surgery and 34 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Massimo Galia’s work include Hepatocellular Carcinoma Treatment and Prognosis (21 papers), MRI in cancer diagnosis (16 papers) and Cardiac Imaging and Diagnostics (16 papers). Massimo Galia is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (21 papers), MRI in cancer diagnosis (16 papers) and Cardiac Imaging and Diagnostics (16 papers). Massimo Galia collaborates with scholars based in Italy, The Netherlands and United States. Massimo Galia's co-authors include Massimo Midiri, Salvatore Vitabile, Aldo Galluzzo, Carla Giordano, Marco Calogero Amato, Angela Criscimanna, Roberto Lagalla, Domenico Albano, Tommaso Vincenzo Bartolotta and Ludovico La Grutta and has published in prestigious journals such as PLoS ONE, Diabetes Care and Annals of Surgery.

In The Last Decade

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

Fields of papers citing papers by Massimo Galia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Galia

Since Specialization
Citations

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