Silvia Rivara

135 papers and 4.8k indexed citations i.

About

Silvia Rivara is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Pharmacology. According to data from OpenAlex, Silvia Rivara has authored 135 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 45 papers in Endocrine and Autonomic Systems and 39 papers in Pharmacology. Recurrent topics in Silvia Rivara’s work include Circadian rhythm and melatonin (43 papers), Cannabis and Cannabinoid Research (35 papers) and Receptor Mechanisms and Signaling (32 papers). Silvia Rivara is often cited by papers focused on Circadian rhythm and melatonin (43 papers), Cannabis and Cannabinoid Research (35 papers) and Receptor Mechanisms and Signaling (32 papers). Silvia Rivara collaborates with scholars based in Italy, United States and France. Silvia Rivara's co-authors include Marco Mor, Giorgio Tarzia, Alessio Lodola, Gilberto Spadoni, Daniele Piomelli, Annalida Bedini, Andrea Tontini, Andrea Duranti, Pier Vincenzo Plazzi and Daniele Pala and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Silvia Rivara i

Fields of papers citing papers by Silvia Rivara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Silvia Rivara

Since Specialization
Citations

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