Ugo Perricone

38 papers and 505 indexed citations i.

About

Ugo Perricone is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Ugo Perricone has authored 38 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 21 papers in Computational Theory and Mathematics and 5 papers in Materials Chemistry. Recurrent topics in Ugo Perricone’s work include Computational Drug Discovery Methods (21 papers), Protein Structure and Dynamics (7 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Ugo Perricone is often cited by papers focused on Computational Drug Discovery Methods (21 papers), Protein Structure and Dynamics (7 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Ugo Perricone collaborates with scholars based in Italy, Austria and France. Ugo Perricone's co-authors include Anna Maria Almerico, Thierry Langer, Thomas Seidel, Marcus Wieder, Alessandro Padova, Marco Tutone, Antonino Lauria, Stefan Boresch, Annamaria Martorana and Stella Cascioferro and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Ugo Perricone i

Fields of papers citing papers by Ugo Perricone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ugo Perricone

Since Specialization
Citations

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