Giulia Magni

41 papers and 1.3k indexed citations i.

About

Giulia Magni is a scholar working on Molecular Biology, Physiology and Physiology. According to data from OpenAlex, Giulia Magni has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Physiology and 9 papers in Physiology. Recurrent topics in Giulia Magni’s work include Adenosine and Purinergic Signaling (11 papers), Pain Mechanisms and Treatments (8 papers) and Pharmacological Receptor Mechanisms and Effects (5 papers). Giulia Magni is often cited by papers focused on Adenosine and Purinergic Signaling (11 papers), Pain Mechanisms and Treatments (8 papers) and Pharmacological Receptor Mechanisms and Effects (5 papers). Giulia Magni collaborates with scholars based in Italy, United States and The Netherlands. Giulia Magni's co-authors include Stefania Ceruti, R. C. von Borstel, Maria P. Abbracchio, Claudia Verderio, Silvio Sora, Giovanni Carlo Federico Villa, Matteo Zanardelli, Marco E. Bianchi, Luc Jasmin and Marta Boccazzi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Giulia Magni i

Fields of papers citing papers by Giulia Magni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Giulia Magni

Since Specialization
Citations

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