Gabriella Risso

20 papers and 809 indexed citations i.

About

Gabriella Risso is a scholar working on Artificial Intelligence, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Gabriella Risso has authored 20 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Oncology and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Gabriella Risso’s work include AI in cancer detection (11 papers), Global Cancer Incidence and Screening (9 papers) and Breast Lesions and Carcinomas (7 papers). Gabriella Risso is often cited by papers focused on AI in cancer detection (11 papers), Global Cancer Incidence and Screening (9 papers) and Breast Lesions and Carcinomas (7 papers). Gabriella Risso collaborates with scholars based in Italy, Australia and United States. Gabriella Risso's co-authors include Stefano Ciatto, S Catarzi, Beniamino Brancato, Nehmat Houssami, Daniela Ambrogetti, Rita Bonardi, Simonetta Bianchi, Marco Rosselli Del Turco, E. Bassetti and Francesca Maria Carozzi and has published in prestigious journals such as Breast Cancer Research and Treatment, European Radiology and Free Radical Research.

In The Last Decade

Co-authorship network of co-authors of Gabriella Risso i

Fields of papers citing papers by Gabriella Risso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gabriella Risso

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025