Daniela Ambrogetti

43 papers and 1.2k indexed citations i.

About

Daniela Ambrogetti is a scholar working on Oncology, Pathology and Forensic Medicine and Artificial Intelligence. According to data from OpenAlex, Daniela Ambrogetti has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 17 papers in Pathology and Forensic Medicine and 14 papers in Artificial Intelligence. Recurrent topics in Daniela Ambrogetti’s work include Global Cancer Incidence and Screening (19 papers), Breast Lesions and Carcinomas (17 papers) and AI in cancer detection (14 papers). Daniela Ambrogetti is often cited by papers focused on Global Cancer Incidence and Screening (19 papers), Breast Lesions and Carcinomas (17 papers) and AI in cancer detection (14 papers). Daniela Ambrogetti collaborates with scholars based in Italy, Australia and United Kingdom. Daniela Ambrogetti's co-authors include Stefano Ciatto, Nehmat Houssami, Marco Rosselli Del Turco, S Catarzi, Gabriella Risso, Ian O. Ellis, Domenico Palli, D Morrone, Melania Assedi and Giovanna Masala and has published in prestigious journals such as PLoS ONE, Cancer and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Daniela Ambrogetti i

Fields of papers citing papers by Daniela Ambrogetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Ambrogetti

Since Specialization
Citations

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