Gabriella Di Rosa

4 papers and 738 indexed citations i.

About

Gabriella Di Rosa is a scholar working on Epidemiology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gabriella Di Rosa has authored 4 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Epidemiology, 1 paper in Physiology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Gabriella Di Rosa’s work include Infant Health and Development (1 paper), Vitamin C and Antioxidants Research (1 paper) and Respiratory Support and Mechanisms (1 paper). Gabriella Di Rosa is often cited by papers focused on Infant Health and Development (1 paper), Vitamin C and Antioxidants Research (1 paper) and Respiratory Support and Mechanisms (1 paper). Gabriella Di Rosa collaborates with scholars based in Italy. Gabriella Di Rosa's co-authors include Eloisa Gitto, Gabriella D’Angelo, Teresa Arrigo, Antonio Gennaro Nicotera, Sara Manti, Lucia Marseglia, Lucia Marseglia and Serafina Perrone and has published in prestigious journals such as International Journal of Molecular Sciences and Pain Practice.

In The Last Decade

Co-authorship network of co-authors of Gabriella Di Rosa i

Fields of papers citing papers by Gabriella Di Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gabriella Di Rosa

Since Specialization
Citations

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