Francesca Di Rosa

46 papers and 3.9k indexed citations i.

About

Francesca Di Rosa is a scholar working on Immunology, Oncology and Hematology. According to data from OpenAlex, Francesca Di Rosa has authored 46 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Immunology, 8 papers in Oncology and 4 papers in Hematology. Recurrent topics in Francesca Di Rosa’s work include T-cell and B-cell Immunology (33 papers), Immune Cell Function and Interaction (31 papers) and Immunotherapy and Immune Responses (30 papers). Francesca Di Rosa is often cited by papers focused on T-cell and B-cell Immunology (33 papers), Immune Cell Function and Interaction (31 papers) and Immunotherapy and Immune Responses (30 papers). Francesca Di Rosa collaborates with scholars based in Italy, United States and United Kingdom. Francesca Di Rosa's co-authors include Polly Matzinger, J P Ridge, Angela Santoni, Reinhard Pabst, Barbara Serafini, Francesca Aloisi, Ambra Natalini, M. Epstein, Alan Sher and Sandra Columba‐Cabezas and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and Blood.

In The Last Decade

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

Fields of papers citing papers by Francesca Di Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesca Di Rosa

Since Specialization
Citations

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