Marco Calandri

48 papers and 772 indexed citations i.

About

Marco Calandri is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Marco Calandri has authored 48 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Hepatology, 19 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Surgery. Recurrent topics in Marco Calandri’s work include Hepatocellular Carcinoma Treatment and Prognosis (22 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and COVID-19 diagnosis using AI (7 papers). Marco Calandri is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (22 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and COVID-19 diagnosis using AI (7 papers). Marco Calandri collaborates with scholars based in Italy, United States and Austria. Marco Calandri's co-authors include Paolo Fonio, Andrea Veltri, Enzo Tartaglione, Marco Grangetto, Claudio Berzovini, Carlo Gazzera, Bruno C. Odisio, Steven Yevich, Marco Gatti and Laura Bergamasco and has published in prestigious journals such as British Journal of Cancer, British journal of surgery and International Journal of Environmental Research and Public Health.

In The Last Decade

Co-authorship network of co-authors of Marco Calandri i

Fields of papers citing papers by Marco Calandri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Calandri

Since Specialization
Citations

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