Daniela Sorriento

82 papers and 3.0k indexed citations i.

About

Daniela Sorriento is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniela Sorriento has authored 82 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 25 papers in Physiology and 20 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniela Sorriento’s work include Receptor Mechanisms and Signaling (17 papers), Protein Kinase Regulation and GTPase Signaling (12 papers) and Mitochondrial Function and Pathology (9 papers). Daniela Sorriento is often cited by papers focused on Receptor Mechanisms and Signaling (17 papers), Protein Kinase Regulation and GTPase Signaling (12 papers) and Mitochondrial Function and Pathology (9 papers). Daniela Sorriento collaborates with scholars based in Italy, United States and Germany. Daniela Sorriento's co-authors include Guido Iaccarino, Bruno Trimarco, Gaetano Santulli, Antonella Fiordelisi, Enrico Coscioni, Michele Ciccarelli, Carmine Del Giudice, Ersilia Cipolletta, A. Anastasio and Prisco Piscitelli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Daniela Sorriento i

Fields of papers citing papers by Daniela Sorriento

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Sorriento

Since Specialization
Citations

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