G. Querci della Rovere

32 papers and 1.4k indexed citations i.

About

G. Querci della Rovere is a scholar working on Cancer Research, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, G. Querci della Rovere has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cancer Research, 19 papers in Surgery and 16 papers in Pathology and Forensic Medicine. Recurrent topics in G. Querci della Rovere’s work include Breast Cancer Treatment Studies (19 papers), Breast Lesions and Carcinomas (15 papers) and Breast Implant and Reconstruction (13 papers). G. Querci della Rovere is often cited by papers focused on Breast Cancer Treatment Studies (19 papers), Breast Lesions and Carcinomas (15 papers) and Breast Implant and Reconstruction (13 papers). G. Querci della Rovere collaborates with scholars based in United Kingdom, Italy and United States. G. Querci della Rovere's co-authors include G Westbury, M W Kissin, Douglas F. Easton, John R. Benson, I. R. Daniels, Giuseppe Catanuto, Maurizio Bruno Nava, S. Ashley, Angela Pennati and Fiona MacNeill and has published in prestigious journals such as The Lancet, Cancer and The Lancet Oncology.

In The Last Decade

Co-authorship network of co-authors of G. Querci della Rovere i

Fields of papers citing papers by G. Querci della Rovere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Querci della Rovere. 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 G. Querci della Rovere. The network helps show where G. Querci della Rovere may publish in the future.

Countries citing papers authored by G. Querci della Rovere

Since Specialization
Citations

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