Mario Cannataro

168 papers and 2.5k indexed citations i.

About

Mario Cannataro is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mario Cannataro has authored 168 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 28 papers in Artificial Intelligence and 27 papers in Computer Networks and Communications. Recurrent topics in Mario Cannataro’s work include Bioinformatics and Genomic Networks (70 papers), Gene expression and cancer classification (37 papers) and Scientific Computing and Data Management (18 papers). Mario Cannataro is often cited by papers focused on Bioinformatics and Genomic Networks (70 papers), Gene expression and cancer classification (37 papers) and Scientific Computing and Data Management (18 papers). Mario Cannataro collaborates with scholars based in Italy, United States and Spain. Mario Cannataro's co-authors include Pietro Hiram Guzzi, Pierangelo Veltri, Giuseppe Agapito, Domenico Talia, Marianna Milano, Barbara Calabrese, Marco Mina, Pierfrancesco Tassone, Maria Teresa Di Martino and Chiara Zucco and has published in prestigious journals such as Bioinformatics, PLoS ONE and Cancer Research.

In The Last Decade

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

Fields of papers citing papers by Mario Cannataro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Cannataro

Since Specialization
Citations

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