Ginevra Danti

53 papers and 619 indexed citations i.

About

Ginevra Danti is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Oncology. According to data from OpenAlex, Ginevra Danti has authored 53 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Surgery and 19 papers in Oncology. Recurrent topics in Ginevra Danti’s work include Radiomics and Machine Learning in Medical Imaging (13 papers), Neuroendocrine Tumor Research Advances (8 papers) and Radiation Dose and Imaging (7 papers). Ginevra Danti is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), Neuroendocrine Tumor Research Advances (8 papers) and Radiation Dose and Imaging (7 papers). Ginevra Danti collaborates with scholars based in Italy, United States and Slovenia. Ginevra Danti's co-authors include Vittorio Miele, Diletta Cozzi, Silvia Pradella, Vincenza Granata, Giulia Grazzini, Roberta Fusco, Luca Brunese, Roberta Grassi, Edoardo Cavigli and Federica De Muzio and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Cancers and Journal of Clinical Medicine.

In The Last Decade

Co-authorship network of co-authors of Ginevra Danti i

Fields of papers citing papers by Ginevra Danti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ginevra Danti

Since Specialization
Citations

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