Mauro Fà
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- Neuroscience and Neuropharmacology Research 27
- Neurotransmitter Receptor Influence on Behavior 12
- Biological Psychiatry top 2%
- Physiology top 1%
- Alzheimer's disease research and treatments 15
- Pharmacology top 0.5%
- Cholinesterase and Neurodegenerative Diseases 9
- Cannabis and Cannabinoid Research 4
- Neurology top 2%
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- Receptor Mechanisms and Signaling 6
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- Calpain Protease Function and Regulation 3
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- Neural dynamics and brain function 3
- Co-authors
- Ottavio ArancioDaniela PuzzoAgnieszka StaniszewskiAgostino PalmeriGian Luigi GessaLucia PriviteraElena LeznikFrancesco Marrosu
- Journals
- Journal of Medicinal Chemistry (3 papers)Journal of Visualized Experiments (3 papers)Journal of Alzheimer s Disease (3 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Mauro Fà
45 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Cellular and Molecular Neuroscience 1.6k
- Biological Psychiatry 161
- Physiology 1.5k
- Pharmacology 944
- Neurology 401
Countries citing papers authored by Mauro Fà
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).
Fields of papers citing papers by Mauro Fà
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.
Co-authorship network
The 25 scholars most cited alongside Mauro Fà, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2020 | 36 | |
| 3 | 2019 | 51 | |
| 4 | 2017 | 127 | |
| 5 | 2015 | 31 | |
| 6 | 2015 | 11 | |
| 7 | 2015 | 116 | |
| 8 | 2010 | 55 | |
| 9 | 2010 | 16 | |
| 10 | 2008 | 176 | |
| 11 | Picomolar Amyloid-β Positively Modulates Synaptic Plasticity and Memory in Hippocampusbreakdown → | 2008 | 592 |
| 12 | 2007 | 42 | |
| 13 | 2006 | 14 | |
| 14 | 2005 | 41 | |
| 15 | 2005 | 77 | |
| 16 | 2004 | 26 | |
| 17 | 2003 | 32 | |
| 18 | 1997 | 27 | |
| 19 | 1997 | 34 | |
| 20 | 1995 | 379 |
About Mauro Fà
Mauro Fà is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry, Pharmacology, Physiology and Endocrine and Autonomic Systems, having authored 46 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (27 papers), Alzheimer's disease research and treatments (15 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Cholinesterase and Neurodegenerative Diseases (9 papers), Receptor Mechanisms and Signaling (6 papers), Cannabis and Cannabinoid Research (4 papers), Calpain Protease Function and Regulation (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Biological Psychiatry (161 citations), Physiology (1.5k citations), Pharmacology (944 citations) and Neurology (401 citations). Mauro Fà has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Ottavio Arancio, Daniela Puzzo, Agnieszka Staniszewski, Agostino Palmeri, Gian Luigi Gessa, Lucia Privitera, Elena Leznik, Francesco Marrosu, Giampaolo Mereu and Chiara M. Portas. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Visualized Experiments, Journal of Alzheimer s Disease, Scientific Reports and Journal of Clinical Investigation.
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.