Valeria Cuccarini

46 papers and 822 indexed citations i.

About

Valeria Cuccarini is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Valeria Cuccarini has authored 46 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Molecular Biology. Recurrent topics in Valeria Cuccarini’s work include Glioma Diagnosis and Treatment (18 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and MRI in cancer diagnosis (6 papers). Valeria Cuccarini is often cited by papers focused on Glioma Diagnosis and Treatment (18 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and MRI in cancer diagnosis (6 papers). Valeria Cuccarini collaborates with scholars based in Italy, United States and Switzerland. Valeria Cuccarini's co-authors include F Ottaviani, Pasquale Capaccio, Lorenzo Pignataro, Maria Grazia Bruzzone, Gaetano Finocchiaro, Bruno Mario Cesana, A Bottero, Domenico Aquino, Marica Eoli and Antonio Schindler and has published in prestigious journals such as Journal of Clinical Oncology, Brain Research and Radiology.

In The Last Decade

Co-authorship network of co-authors of Valeria Cuccarini i

Fields of papers citing papers by Valeria Cuccarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Valeria Cuccarini

Since Specialization
Citations

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