Paola Paci

97 papers and 3.7k indexed citations i.

About

Paola Paci is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Paola Paci has authored 97 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 24 papers in Cancer Research and 15 papers in Computational Theory and Mathematics. Recurrent topics in Paola Paci’s work include Bioinformatics and Genomic Networks (26 papers), Computational Drug Discovery Methods (15 papers) and MicroRNA in disease regulation (15 papers). Paola Paci is often cited by papers focused on Bioinformatics and Genomic Networks (26 papers), Computational Drug Discovery Methods (15 papers) and MicroRNA in disease regulation (15 papers). Paola Paci collaborates with scholars based in Italy, United States and Switzerland. Paola Paci's co-authors include Giulia Fiscon, Lorenzo Farina, Federica Conte, Teresa Colombo, Valerio Licursi, Daniele Santoni, Luisa Di Paola, Alessandro Giuliani, Giuseppe Macino and Micol De Ruvo and has published in prestigious journals such as Chemical Reviews, Physical Review Letters and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Paola Paci i

Fields of papers citing papers by Paola Paci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paola Paci

Since Specialization
Citations

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