Enrico Dainese

82 papers and 1.7k indexed citations i.

About

Enrico Dainese is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Enrico Dainese has authored 82 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 29 papers in Pharmacology and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Enrico Dainese’s work include Cannabis and Cannabinoid Research (28 papers), Pancreatic Islet Dysfunction and Regeneration (11 papers) and Diet, Metabolism, and Disease (9 papers). Enrico Dainese is often cited by papers focused on Cannabis and Cannabinoid Research (28 papers), Pancreatic Islet Dysfunction and Regeneration (11 papers) and Diet, Metabolism, and Disease (9 papers). Enrico Dainese collaborates with scholars based in Italy, Spain and Germany. Enrico Dainese's co-authors include Mauro Maccarrone, Sergio Oddi, Annalaura Sabatucci, Filomena Fezza, Cinzia Rapino, Clotilde B. Angelucci, Claudio D’Addario, Andrea Di Francesco, Valeria Gasperi and Mariano Beltramini and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Enrico Dainese i

Fields of papers citing papers by Enrico Dainese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Enrico Dainese

Since Specialization
Citations

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