Daniela Rizzi

15 papers and 542 indexed citations i.

About

Daniela Rizzi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Daniela Rizzi has authored 15 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 5 papers in Physiology. Recurrent topics in Daniela Rizzi’s work include Neuropeptides and Animal Physiology (14 papers), Receptor Mechanisms and Signaling (14 papers) and Pain Mechanisms and Treatments (5 papers). Daniela Rizzi is often cited by papers focused on Neuropeptides and Animal Physiology (14 papers), Receptor Mechanisms and Signaling (14 papers) and Pain Mechanisms and Treatments (5 papers). Daniela Rizzi collaborates with scholars based in Italy, United Kingdom and United States. Daniela Rizzi's co-authors include Remo Guerrini, D. Regoli, Severo Salvadori, Anna Rizzi, Girolamo Calò, Raffaella Bigoni, Giuliano Marzola, David G. Lambert, Michele Morari and Matteo Marti and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and British Journal of Pharmacology.

In The Last Decade

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

Fields of papers citing papers by Daniela Rizzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Rizzi

Since Specialization
Citations

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