Paolo Campioni

45 papers and 343 indexed citations i.

About

Paolo Campioni is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Paolo Campioni has authored 45 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 13 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Paolo Campioni’s work include Radiology practices and education (6 papers), COVID-19 diagnosis using AI (4 papers) and Medical Imaging and Pathology Studies (4 papers). Paolo Campioni is often cited by papers focused on Radiology practices and education (6 papers), COVID-19 diagnosis using AI (4 papers) and Medical Imaging and Pathology Studies (4 papers). Paolo Campioni collaborates with scholars based in Italy, United States and Peru. Paolo Campioni's co-authors include P Marano, Paolo Mannella, Carlo Manzoni, V Summaria, Anna Lia Valentini, Claudia Rendeli, E Salvaggio, Fabrizio Albarello, Vincenzo Schininà and A. Bertuzzi and has published in prestigious journals such as Spine, AJP Endocrinology and Metabolism and European Radiology.

In The Last Decade

Co-authorship network of co-authors of Paolo Campioni i

Fields of papers citing papers by Paolo Campioni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paolo Campioni

Since Specialization
Citations

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