Rosa Di Noto

43 papers and 1.2k indexed citations i.

About

Rosa Di Noto is a scholar working on Immunology, Hematology and Molecular Biology. According to data from OpenAlex, Rosa Di Noto has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 15 papers in Hematology and 14 papers in Molecular Biology. Recurrent topics in Rosa Di Noto’s work include Acute Myeloid Leukemia Research (14 papers), Retinoids in leukemia and cellular processes (9 papers) and Cancer Cells and Metastasis (8 papers). Rosa Di Noto is often cited by papers focused on Acute Myeloid Leukemia Research (14 papers), Retinoids in leukemia and cellular processes (9 papers) and Cancer Cells and Metastasis (8 papers). Rosa Di Noto collaborates with scholars based in Italy, United States and Belgium. Rosa Di Noto's co-authors include Luigi Del Vecchio, Peppino Mirabelli, Francesco Salvatore, Catia Lo Pardo, Felicetto Ferrara, Ettore Mariano Schiavone, Piernicola Boccuni, Marica Gemei, Ciro Manzo and Bruno Rotoli and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Co-authorship network of co-authors of Rosa Di Noto i

Fields of papers citing papers by Rosa Di Noto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosa Di Noto. 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 Rosa Di Noto. The network helps show where Rosa Di Noto may publish in the future.

Countries citing papers authored by Rosa Di Noto

Since Specialization
Citations

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