University of Pavia

54.6k papers and 1.5M indexed citations

About

In recent decades, authors affiliated with University of Pavia have published 54.6k papers, which have received a total of 1.5M indexed citations. Scholars at this organization have produced 8.2k papers in Molecular Biology, 5.0k papers in Electrical and Electronic Engineering and 4.0k papers in Surgery on the topics of Analog and Mixed-Signal Circuit Design (698 papers), Photonic and Optical Devices (685 papers) and Neuroscience and Neuropharmacology Research (612 papers). Their work is cited by papers focused on Molecular Biology (286.3k citations), Electrical and Electronic Engineering (105.4k citations) and Surgery (103.7k citations). Authors at University of Pavia collaborate with scholars in Italy, United States and United Kingdom and have published in prestigious journals including Nature, Science and New England Journal of Medicine. Some of University of Pavia's most productive authors include Emilio Perucca, Peter J. Schwartz, Maurizio Fagnoni, Franco Brezzi, Silvia G. Priori, Luigi Fabbrizzi, Angelo Albini, Davide Ravelli, Mario Cazzola and Maria Daglia.

In The Last Decade

University of Pavia

51.1k papers receiving 1.5M citations

Countries citing scholars working at University of Pavia

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at University of Pavia. 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 papers produced at University of Pavia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites University of Pavia more than expected).

Fields of papers published by authors at University of Pavia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with University of Pavia at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with University of Pavia at the time of their publication.

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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2026