Patrizia Rosa

74 papers and 5.7k indexed citations i.

About

Patrizia Rosa is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Patrizia Rosa has authored 74 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 36 papers in Cell Biology and 17 papers in Cellular and Molecular Neuroscience. Recurrent topics in Patrizia Rosa’s work include Cellular transport and secretion (30 papers), Lipid Membrane Structure and Behavior (17 papers) and Growth Hormone and Insulin-like Growth Factors (8 papers). Patrizia Rosa is often cited by papers focused on Cellular transport and secretion (30 papers), Lipid Membrane Structure and Behavior (17 papers) and Growth Hormone and Insulin-like Growth Factors (8 papers). Patrizia Rosa collaborates with scholars based in Italy, Germany and United States. Patrizia Rosa's co-authors include Wieland Β. Huttner, H. Gerdes, A Zanini, Elena Taverna, Annette Hille, Claudia Verderio, Michela Matteoli, Maria P. Abbracchio, Maura Francolini and Federico Calegari and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Journal of Cell Biology.

In The Last Decade

Co-authorship network of co-authors of Patrizia Rosa i

Fields of papers citing papers by Patrizia Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Patrizia Rosa

Since Specialization
Citations

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