Paolo Uva

75 papers and 2.1k indexed citations i.

About

Paolo Uva is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Paolo Uva has authored 75 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 25 papers in Genetics and 16 papers in Cancer Research. Recurrent topics in Paolo Uva’s work include Insect and Arachnid Ecology and Behavior (10 papers), Plant and animal studies (10 papers) and Cell Adhesion Molecules Research (8 papers). Paolo Uva is often cited by papers focused on Insect and Arachnid Ecology and Behavior (10 papers), Plant and animal studies (10 papers) and Cell Adhesion Molecules Research (8 papers). Paolo Uva collaborates with scholars based in Italy, United States and France. Paolo Uva's co-authors include Anne‐Geneviève Bagnères, Silvia Pisanu, Vanessa Palmas, Aldo Manzin, Roberto Cusano, Veronica Madau, Sarah Vascellari, Fernanda Velluzzi, Andrea Loviselli and Andrea Deledda and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Paolo Uva i

Fields of papers citing papers by Paolo Uva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paolo Uva

Since Specialization
Citations

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