Agnese Latorre

49 papers and 932 indexed citations i.

About

Agnese Latorre is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Agnese Latorre has authored 49 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 14 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Cancer Research. Recurrent topics in Agnese Latorre’s work include Cancer Treatment and Pharmacology (18 papers), Breast Cancer Treatment Studies (12 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Agnese Latorre is often cited by papers focused on Cancer Treatment and Pharmacology (18 papers), Breast Cancer Treatment Studies (12 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Agnese Latorre collaborates with scholars based in Italy, Türkiye and Australia. Agnese Latorre's co-authors include Vito Lorusso, Michele Guida, Vito Lorusso, Angelo Paradiso, M. De Lena, Anita Mangia, Francesco Schittulli, Annalisa Chiriatti, Stefania Tommasi and D. Sambiasi and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Agnese Latorre i

Fields of papers citing papers by Agnese Latorre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Agnese Latorre

Since Specialization
Citations

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