Maurizio Prato

1.3k total papers · 87.1k total citations
876 papers, 64.6k citations indexed

About

Maurizio Prato is a scholar working on Materials Chemistry, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, Maurizio Prato has authored 876 papers receiving a total of 64.6k indexed citations (citations by other indexed papers that have themselves been cited), including 563 papers in Materials Chemistry, 338 papers in Organic Chemistry and 236 papers in Biomedical Engineering. Recurrent topics in Maurizio Prato's work include Carbon Nanotubes in Composites (266 papers), Fullerene Chemistry and Applications (252 papers) and Graphene research and applications (189 papers). Maurizio Prato is often cited by papers focused on Carbon Nanotubes in Composites (266 papers), Fullerene Chemistry and Applications (252 papers) and Graphene research and applications (189 papers). Maurizio Prato collaborates with scholars based in Italy, Spain and France. Maurizio Prato's co-authors include Alberto Bianco, Kostas Kostarelos, Dirk M. Guldi, Nikos Tagmatarchis, Michele Maggini, Dimitrios Tasis, Tatiana Da Ros, Gianfranco Scorrano, Ester Vázquez and Davide Pantarotto and has published in prestigious journals such as Nature, Science and Chemical Reviews.

In The Last Decade

Maurizio Prato

863 papers receiving 63.3k citations

Hit Papers

Chemistry of Carbon Nanot... 1993 2026 2004 2015 2006 1993 2000 2002 2003 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maurizio Prato 42.4k 21.3k 18.0k 12.4k 7.4k 876 64.6k
He Tian 45.1k 1.1× 10.2k 0.5× 18.7k 1.0× 15.6k 1.3× 9.2k 1.2× 986 70.0k
Bin Liu 45.2k 1.1× 28.2k 1.3× 8.2k 0.5× 16.5k 1.3× 15.3k 2.1× 1.1k 72.1k
Katsuhiko Ariga 26.7k 0.6× 11.4k 0.5× 10.2k 0.6× 15.4k 1.2× 9.2k 1.2× 966 54.6k
Yanli Zhao 34.3k 0.8× 16.4k 0.8× 10.2k 0.6× 11.1k 0.9× 7.5k 1.0× 777 57.0k
Yen Wei 24.5k 0.6× 22.1k 1.0× 10.8k 0.6× 9.7k 0.8× 5.3k 0.7× 1.2k 60.3k
Kwang S. Kim 37.7k 0.9× 16.1k 0.8× 8.3k 0.5× 24.8k 2.0× 6.8k 0.9× 856 76.2k
Jacky W. Y. Lam 80.9k 1.9× 24.7k 1.2× 25.7k 1.4× 26.4k 2.1× 13.1k 1.8× 825 98.2k
Helmuth Möhwald 23.7k 0.6× 13.7k 0.6× 12.2k 0.7× 11.0k 0.9× 11.4k 1.5× 920 63.4k
Frank Caruso 22.4k 0.5× 19.5k 0.9× 10.7k 0.6× 11.2k 0.9× 11.8k 1.6× 717 68.4k
Daoben Zhu 43.6k 1.0× 16.3k 0.8× 12.1k 0.7× 39.1k 3.1× 5.7k 0.8× 1.1k 83.5k

Countries citing papers authored by Maurizio Prato

Since Specialization
Citations

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

Fields of papers citing papers by Maurizio Prato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurizio Prato

This figure shows the co-authorship network connecting the top 25 collaborators of Maurizio Prato. A scholar is included among the top collaborators of Maurizio Prato based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maurizio Prato. Maurizio Prato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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