Luisa Di Paola

70 papers and 1.7k indexed citations i.

About

Luisa Di Paola is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, Luisa Di Paola has authored 70 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 15 papers in Computational Theory and Mathematics and 9 papers in Biomedical Engineering. Recurrent topics in Luisa Di Paola’s work include Protein Structure and Dynamics (18 papers), Computational Drug Discovery Methods (15 papers) and Bioinformatics and Genomic Networks (10 papers). Luisa Di Paola is often cited by papers focused on Protein Structure and Dynamics (18 papers), Computational Drug Discovery Methods (15 papers) and Bioinformatics and Genomic Networks (10 papers). Luisa Di Paola collaborates with scholars based in Italy, United States and Iran. Luisa Di Paola's co-authors include Alessandro Giuliani, Micol De Ruvo, Paola Paci, Daniele Santoni, Marcello De Falco, Gennady M. Verkhivker, Luigi Marrelli, Vincenzo Piemonte, Gabriella Caruso and Chiara Bianca Maria Platania and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Reviews and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Luisa Di Paola i

Fields of papers citing papers by Luisa Di Paola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luisa Di Paola. 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 Luisa Di Paola. The network helps show where Luisa Di Paola may publish in the future.

Countries citing papers authored by Luisa Di Paola

Since Specialization
Citations

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