Elvio De Fiori

38 papers and 718 indexed citations i.

About

Elvio De Fiori is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Elvio De Fiori has authored 38 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 13 papers in Pulmonary and Respiratory Medicine and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Elvio De Fiori’s work include Thyroid Cancer Diagnosis and Treatment (12 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Elvio De Fiori is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (12 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Elvio De Fiori collaborates with scholars based in Italy, United States and Switzerland. Elvio De Fiori's co-authors include Massimo Bellomi, Giuseppe Pelosi, Ferruccio Fazio, Ugo Pastorino, Claudio Landoni, Maria Picchio, Peter Boyle, Cristiano Rampinelli, Mohssen Ansarin and Gioacchino Giugliano and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Cancer.

In The Last Decade

Co-authorship network of co-authors of Elvio De Fiori i

Fields of papers citing papers by Elvio De Fiori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elvio De Fiori. 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 Elvio De Fiori. The network helps show where Elvio De Fiori may publish in the future.

Countries citing papers authored by Elvio De Fiori

Since Specialization
Citations

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