Mario De Rosa

319 papers and 11.5k indexed citations i.

About

Mario De Rosa is a scholar working on Molecular Biology, Cell Biology and Biotechnology. According to data from OpenAlex, Mario De Rosa has authored 319 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 191 papers in Molecular Biology, 41 papers in Cell Biology and 39 papers in Biotechnology. Recurrent topics in Mario De Rosa’s work include Enzyme Immobilization Techniques (40 papers), Proteoglycans and glycosaminoglycans research (39 papers) and Metabolic Engineering and Synthetic Biology (35 papers). Mario De Rosa is often cited by papers focused on Enzyme Immobilization Techniques (40 papers), Proteoglycans and glycosaminoglycans research (39 papers) and Metabolic Engineering and Synthetic Biology (35 papers). Mario De Rosa collaborates with scholars based in Italy, United Kingdom and Germany. Mario De Rosa's co-authors include Agata Gambacorta, Chiara Schiraldi, A. Gambacorta, J. D. Bu’Lock, Alessandra Gliozzi, Barbara Nicolaus, Donatella Cimini, Luigi Minale, Annalisa La Gatta and Isabella Di Lernia and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Co-authorship network of co-authors of Mario De Rosa i

Fields of papers citing papers by Mario De Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario De Rosa

Since Specialization
Citations

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