Micol De Ruvo

About

Micol De Ruvo is a scholar working on Molecular Biology, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, Micol De Ruvo has authored 7 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 2 papers in Plant Science. Recurrent topics in Micol De Ruvo’s work include Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (4 papers) and Bioinformatics and Genomic Networks (2 papers). Micol De Ruvo is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (4 papers) and Bioinformatics and Genomic Networks (2 papers). Micol De Ruvo collaborates with scholars based in Italy, United Kingdom and United States. Micol De Ruvo's co-authors include Luisa Di Paola, Daniele Santoni, Paola Paci, Alessandro Giuliani, Verônica A. Grieneisen, Athanasius F. M. Marée, Elena Salvi, Philip N. Benfey, Ondřej Novák and Rosangela Sozzani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Reviews and Plant and Cell Physiology.

In The Last Decade

Co-authorship network of co-authors of Micol De Ruvo i

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Fields of papers citing papers by Micol De Ruvo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Micol De Ruvo. 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 Micol De Ruvo. The network helps show where Micol De Ruvo may publish in the future.

Countries citing papers authored by Micol De Ruvo

Since Specialization

Citations

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