Rosaria Bassi

83 papers and 2.4k indexed citations i.

About

Rosaria Bassi is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Rosaria Bassi has authored 83 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 26 papers in Cell Biology and 22 papers in Physiology. Recurrent topics in Rosaria Bassi’s work include Sphingolipid Metabolism and Signaling (41 papers), Lipid Membrane Structure and Behavior (22 papers) and Glycosylation and Glycoproteins Research (20 papers). Rosaria Bassi is often cited by papers focused on Sphingolipid Metabolism and Signaling (41 papers), Lipid Membrane Structure and Behavior (22 papers) and Glycosylation and Glycoproteins Research (20 papers). Rosaria Bassi collaborates with scholars based in Italy, United States and United Kingdom. Rosaria Bassi's co-authors include Laura Riboni, Guido Tettamanti, Paola Viani, Alessandro Prinetti, Paola Giussani, Sandro Sonnino, Viviana Anelli, Massimo Aureli, Michael Marber and Nicoletta Loberto and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical Journal.

In The Last Decade

Co-authorship network of co-authors of Rosaria Bassi i

Fields of papers citing papers by Rosaria Bassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rosaria Bassi

Since Specialization
Citations

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