Mauro Fà

5.1k citations
48 papers · 3.8k · 1 hit paper · h-index 30

Impact in

Papers in

Mauro Fà

46 papers receiving 3.7k citations

Mauro Fà's Hit Papers

Picomolar Amyloid-β Positively Modulates Synaptic Plasticity and Memory in Hippocampus 2008 · 622 citations
6220+6+12Years since publication200400600

Peers

Mauro Fà
Comparison fields: 5 of 115
  • Cellular and Molecular Neuroscience 1.6k
  • Biological Psychiatry 159
  • Physiology 1.5k
  • Pharmacology 917
  • Neurology 373
Replace Gene G. Kinney with:
Gene G. Kinney United States
Hoau-Yan Wang United States
Tracey K. Murray United Kingdom
Grace E. Stutzmann United States
Edilio Borroni Switzerland
Kalpana Merchant United States
Ernesto Fedele Italy
Dieder Moechars Belgium
Luis G. Aguayo Chile
Agostino Palmeri Italy
Mauro Fà relative to Gene G. Kinney United States Gene G. Kinney's profile →
Citations per field
00.5×1.5×1.9×
Gene G. Kinney · 1×
Citations per year

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).

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.

Co-authors

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.

Border = papers with Mauro Fà Line = papers co-authored together Mauro Fà links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Picomolar Amyloid-β Positively Modulates Synaptic Plasticity and Memory in Hippocampus
Hit paper breakdown →
2008622
2 1995404
3 2010254
4 2009243
5 2018213
6 1998186
7 2003182
8 2008180
9 2017131
10 2004119
11 2015119
12 200584
13 201478
14 201275
15 201957
16 201056
17 201055
18 201650
19 200546
20 200742

About Mauro Fà

Mauro Fà is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 48 papers that have together received 3.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (23 papers), Alzheimer's disease research and treatments (14 papers), Cholinesterase and Neurodegenerative Diseases (9 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Cannabis and Cannabinoid Research (4 papers), Prenatal Substance Exposure Effects (3 papers), Receptor Mechanisms and Signaling (3 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Biological Psychiatry (159 citations), Physiology (1.5k citations), Pharmacology (917 citations) and Neurology (373 citations). Mauro Fà has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Ottavio Arancio, Daniela Puzzo, Agnieszka Staniszewski, Gian Luigi Gessa, Agostino Palmeri, Lucia Privitera, Elena Leznik, Francesco Marrosu, Giampaolo Mereu and Maria Stefania Mascia. Their work appears in journals such as Journal of Medicinal Chemistry, Alzheimer s & Dementia, Journal of Visualized Experiments, Journal of Alzheimer s Disease and Scientific Reports.

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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