Mario Passalacqua

122 papers and 3.0k indexed citations i.

About

Mario Passalacqua is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Mario Passalacqua has authored 122 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 29 papers in Cell Biology and 27 papers in Physiology. Recurrent topics in Mario Passalacqua’s work include Protein Kinase Regulation and GTPase Signaling (19 papers), Erythrocyte Function and Pathophysiology (12 papers) and Cellular transport and secretion (11 papers). Mario Passalacqua is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (19 papers), Erythrocyte Function and Pathophysiology (12 papers) and Cellular transport and secretion (11 papers). Mario Passalacqua collaborates with scholars based in Italy, United States and Germany. Mario Passalacqua's co-authors include S. Pontremoli, Edon Melloni, Bianca Sparatore, Mauro Patrone, Marco Pedrazzi, E. Melloni, F. Salamino, Monica Averna, Chiara Cervetto and Roberta De Tullio and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Co-authorship network of co-authors of Mario Passalacqua i

Fields of papers citing papers by Mario Passalacqua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Passalacqua

Since Specialization
Citations

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