Mauro Fà

45 papers and 3.5k indexed citations i.

About

Mauro Fà is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Mauro Fà has authored 45 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cellular and Molecular Neuroscience, 17 papers in Molecular Biology and 17 papers in Physiology. Recurrent topics in Mauro Fà’s work include Neuroscience and Neuropharmacology Research (27 papers), Alzheimer's disease research and treatments (15 papers) and Neurotransmitter Receptor Influence on Behavior (12 papers). Mauro Fà is often cited by papers focused on Neuroscience and Neuropharmacology Research (27 papers), Alzheimer's disease research and treatments (15 papers) and Neurotransmitter Receptor Influence on Behavior (12 papers). Mauro Fà collaborates with scholars based in Italy, United States and Canada. Mauro Fà's co-authors include Ottavio Arancio, Daniela Puzzo, Agnieszka Staniszewski, Gian Luigi Gessa, Agostino Palmeri, Lucia Privitera, Elena Leznik, Francesco Marrosu, Maria Stefania Mascia and Maria Antonietta Casu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Mauro Fà i

Fields of papers citing papers by Mauro Fà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mauro Fà

Since Specialization
Citations

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