Federica Rizzi

46 papers and 2.4k indexed citations i.

About

Federica Rizzi is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Federica Rizzi has authored 46 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 18 papers in Molecular Biology and 9 papers in Cancer Research. Recurrent topics in Federica Rizzi’s work include Clusterin in disease pathology (22 papers), Cancer, Lipids, and Metabolism (9 papers) and Tea Polyphenols and Effects (9 papers). Federica Rizzi is often cited by papers focused on Clusterin in disease pathology (22 papers), Cancer, Lipids, and Metabolism (9 papers) and Tea Polyphenols and Effects (9 papers). Federica Rizzi collaborates with scholars based in Italy, United States and Germany. Federica Rizzi's co-authors include Saverio Bettuzzi, Arnaldo Corti, Maurizio Brausi, G. Peracchia, G. Castagnetti, Valeria Naponelli, Ileana Ramazzina, Aide Negri, Pietro Rocculi and Silvia Tappi and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Federica Rizzi i

Fields of papers citing papers by Federica Rizzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federica Rizzi. 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 Federica Rizzi. The network helps show where Federica Rizzi may publish in the future.

Countries citing papers authored by Federica Rizzi

Since Specialization
Citations

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