Sarà Uccella

34 papers and 308 indexed citations i.

About

Sarà Uccella is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology and Genetics. According to data from OpenAlex, Sarà Uccella has authored 34 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pediatrics, Perinatology and Child Health, 8 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Sarà Uccella’s work include Neonatal and fetal brain pathology (9 papers), Infant Development and Preterm Care (6 papers) and Neonatal Respiratory Health Research (6 papers). Sarà Uccella is often cited by papers focused on Neonatal and fetal brain pathology (9 papers), Infant Development and Preterm Care (6 papers) and Neonatal Respiratory Health Research (6 papers). Sarà Uccella collaborates with scholars based in Italy, Canada and France. Sarà Uccella's co-authors include Mariasavina Severino, Luca A. Ramenghi, Domenico Tortora, Andrea Rossi, Giovanni Morana, Alessandro Parodi, Lino Nobili, Elisa De Grandis, Mariya Malova and Thea Giacomini and has published in prestigious journals such as Science Advances, Nutrients and Bone.

In The Last Decade

Co-authorship network of co-authors of Sarà Uccella i

Fields of papers citing papers by Sarà Uccella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sarà Uccella

Since Specialization
Citations

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