Lorenzo Ugga

125 papers and 1.9k indexed citations i.

About

Lorenzo Ugga is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Neurology. According to data from OpenAlex, Lorenzo Ugga has authored 125 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Surgery and 27 papers in Neurology. Recurrent topics in Lorenzo Ugga’s work include Radiomics and Machine Learning in Medical Imaging (34 papers), Glioma Diagnosis and Treatment (16 papers) and Meningioma and schwannoma management (15 papers). Lorenzo Ugga is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (34 papers), Glioma Diagnosis and Treatment (16 papers) and Meningioma and schwannoma management (15 papers). Lorenzo Ugga collaborates with scholars based in Italy, United Kingdom and United States. Lorenzo Ugga's co-authors include Renato Cuocolo, Arnaldo Stanzione, Arturo Brunetti, Valeria Romeo, Teresa Perillo, Mario Petretta, Gaia Spadarella, Sirio Cocozza, Burak Koçak and Alessandra D’Amico and has published in prestigious journals such as Journal of Clinical Oncology, Neurology and Cancer Letters.

In The Last Decade

Co-authorship network of co-authors of Lorenzo Ugga i

Fields of papers citing papers by Lorenzo Ugga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lorenzo Ugga

Since Specialization
Citations

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