Rosa Di Micco

48 papers and 566 indexed citations i.

About

Rosa Di Micco is a scholar working on Surgery, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Rosa Di Micco has authored 48 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 18 papers in Cancer Research and 17 papers in Pathology and Forensic Medicine. Recurrent topics in Rosa Di Micco’s work include Breast Cancer Treatment Studies (18 papers), Breast Lesions and Carcinomas (15 papers) and Breast Implant and Reconstruction (15 papers). Rosa Di Micco is often cited by papers focused on Breast Cancer Treatment Studies (18 papers), Breast Lesions and Carcinomas (15 papers) and Breast Implant and Reconstruction (15 papers). Rosa Di Micco collaborates with scholars based in Italy, United Kingdom and Switzerland. Rosa Di Micco's co-authors include Rachel O’Connell, Jennifer Rusby, Pietro Forestieri, Peter Barry, Oreste ­Gentilini, Komel Khabra, Anna M. Kirby, Vincenzo Pilone, Emanuela Esposito and Nicola Roche and has published in prestigious journals such as PLoS ONE, Cancer Research and British journal of surgery.

In The Last Decade

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

Fields of papers citing papers by Rosa Di Micco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rosa Di Micco

Since Specialization
Citations

This map shows the geographic impact of Rosa Di Micco'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 Micco 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 Micco 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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