Francesca Di Leva

25 papers and 776 indexed citations i.

About

Francesca Di Leva is a scholar working on Molecular Biology, Sensory Systems and Neurology. According to data from OpenAlex, Francesca Di Leva has authored 25 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Sensory Systems and 5 papers in Neurology. Recurrent topics in Francesca Di Leva’s work include Hearing, Cochlea, Tinnitus, Genetics (8 papers), RNA Research and Splicing (5 papers) and Vestibular and auditory disorders (5 papers). Francesca Di Leva is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (8 papers), RNA Research and Splicing (5 papers) and Vestibular and auditory disorders (5 papers). Francesca Di Leva collaborates with scholars based in Italy, United States and Germany. Francesca Di Leva's co-authors include Ernesto Carafoli, Teuta Domi, Laura Fedrizzi, Dmitry Lim, Marisa Brini, Fabio Mammano, Saida Ortolano, Mario Bortolozzi, Lucia Schoderboeck and Ewald Gingl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Annals of the New York Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Francesca Di Leva i

Fields of papers citing papers by Francesca Di Leva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesca Di Leva

Since Specialization
Citations

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