Fabrizia Gelardi

27 papers and 441 indexed citations i.

About

Fabrizia Gelardi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Fabrizia Gelardi has authored 27 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 8 papers in Oncology. Recurrent topics in Fabrizia Gelardi’s work include Radiomics and Machine Learning in Medical Imaging (10 papers), Radiopharmaceutical Chemistry and Applications (6 papers) and Peptidase Inhibition and Analysis (5 papers). Fabrizia Gelardi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Radiopharmaceutical Chemistry and Applications (6 papers) and Peptidase Inhibition and Analysis (5 papers). Fabrizia Gelardi collaborates with scholars based in Italy, Spain and The Netherlands. Fabrizia Gelardi's co-authors include Martina Sollini, Arturo Chiti, Margarita Kirienko, Michele Ciccarelli, Alessio Aghemo, Paola Morelli, Maurizio Cecconi, Noemi Gozzi, Francesco Fiz and Silvia Morbelli and has published in prestigious journals such as The Journal of Urology, Theranostics and Journal of Nuclear Medicine.

In The Last Decade

Co-authorship network of co-authors of Fabrizia Gelardi i

Fields of papers citing papers by Fabrizia Gelardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabrizia Gelardi

Since Specialization
Citations

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