Rosaria Polci

14 papers and 219 indexed citations i.

About

Rosaria Polci is a scholar working on Molecular Biology, Nephrology and Cell Biology. According to data from OpenAlex, Rosaria Polci has authored 14 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Nephrology and 3 papers in Cell Biology. Recurrent topics in Rosaria Polci’s work include Microtubule and mitosis dynamics (3 papers), Mitochondrial Function and Pathology (2 papers) and Renal Diseases and Glomerulopathies (2 papers). Rosaria Polci is often cited by papers focused on Microtubule and mitosis dynamics (3 papers), Mitochondrial Function and Pathology (2 papers) and Renal Diseases and Glomerulopathies (2 papers). Rosaria Polci collaborates with scholars based in Italy and United States. Rosaria Polci's co-authors include Yumay Chen, Daniel Riley, Phang‐Lang Chen, Aimin Peng, Paolo Menè, Sandro Feriozzi, Maria Gaczyńska, Paweł A. Osmulski, Randy Wei and Chi‐Fen Chen and has published in prestigious journals such as Cancer Research, Biochemical and Biophysical Research Communications and Molecular Cancer.

In The Last Decade

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

Fields of papers citing papers by Rosaria Polci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rosaria Polci

Since Specialization
Citations

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