Daniela Schenone

13 papers and 278 indexed citations i.

About

Daniela Schenone is a scholar working on Radiology, Nuclear Medicine and Imaging, Hematology and Oncology. According to data from OpenAlex, Daniela Schenone has authored 13 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Hematology and 3 papers in Oncology. Recurrent topics in Daniela Schenone’s work include Multiple Myeloma Research and Treatments (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Management of metastatic bone disease (2 papers). Daniela Schenone is often cited by papers focused on Multiple Myeloma Research and Treatments (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Management of metastatic bone disease (2 papers). Daniela Schenone collaborates with scholars based in Italy, Australia and Spain. Daniela Schenone's co-authors include Alberto Tagliafico, Michele Piana, Nehmat Houssami, Anna Maria Massone, Lucia Romani, Costanza Conti, Alida Dominietto, Cristina Campi, Federica Rossi and Liliana Belgioia and has published in prestigious journals such as Pattern Recognition, Applied Mathematics and Computation and Journal of Computational and Applied Mathematics.

In The Last Decade

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

Fields of papers citing papers by Daniela Schenone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Schenone

Since Specialization
Citations

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