Rosa Di Noto

59 total papers · 1.6k total citations
43 papers, 1.1k citations indexed

About

Rosa Di Noto is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Rosa Di Noto has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 15 papers in Molecular Biology and 15 papers in Hematology. 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 (7 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 (7 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, Felicetto Ferrara, Catia Lo Pardo, Francesco Salvatore, Ettore Mariano Schiavone, Piernicola Boccuni, Ciro Manzo, Marica Gemei 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

Rosa Di Noto

42 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rosa Di Noto 517 376 210 207 149 43 1.1k
Alexandra E. Irvine 825 1.6× 335 0.9× 216 1.0× 288 1.4× 47 0.3× 46 1.3k
Aaron R. Ellison 286 0.6× 263 0.7× 257 1.2× 111 0.5× 86 0.6× 27 1.1k
Lap-Ping Chung 424 0.8× 233 0.6× 585 2.8× 297 1.4× 41 0.3× 27 1.4k
Dominik Schneidawind 425 0.8× 515 1.4× 602 2.9× 299 1.4× 35 0.2× 57 1.2k
Charlotte Guldborg Nyvold 362 0.7× 531 1.4× 98 0.5× 165 0.8× 36 0.2× 73 977
Catherine Maillard 440 0.9× 190 0.5× 209 1.0× 329 1.6× 43 0.3× 28 1.4k
Amiel G. Cooper 505 1.0× 238 0.6× 269 1.3× 208 1.0× 24 0.2× 50 1.3k
Kim Orchard 582 1.1× 695 1.8× 246 1.2× 401 1.9× 20 0.1× 71 1.4k
Mark KuKuruga 213 0.4× 172 0.5× 359 1.7× 188 0.9× 33 0.2× 40 917
Charles H. Packman 284 0.5× 358 1.0× 303 1.4× 228 1.1× 14 0.1× 39 1.3k

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Di Noto. A scholar is included among the top collaborators of Rosa Di Noto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rosa Di Noto. Rosa Di Noto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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