Leonardo Fazio
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies 35
- Neural and Behavioral Psychology Studies 14
- Neural dynamics and brain function 9
- Biological Psychiatry top 5%
- Psychiatry and Mental health top 2%
- Schizophrenia research and treatment 16
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- Neurotransmitter Receptor Influence on Behavior 11
- Neuroscience and Neuropharmacology Research 8
- Behavioral Neuroscience top 5%
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- Receptor Mechanisms and Signaling 10
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- Genetic Associations and Epidemiology 7
- Co-authors
- Alessandro BertolinoGiuseppe BlasiRaffaella RomanoPaolo TaurisanoTeresa PopolizioGrazia CaforioAnnabella Di GiorgioAntonio Rampino
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Neuroscience (3 papers)PLoS ONE (7 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Leonardo Fazio
63 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 101
- Cognitive Neuroscience 1.1k
- Biological Psychiatry 101
- Psychiatry and Mental health 609
- Cellular and Molecular Neuroscience 557
- Behavioral Neuroscience 87
Countries citing papers authored by Leonardo Fazio
This map shows the geographic impact of Leonardo Fazio'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 Leonardo Fazio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo Fazio more than expected).
Fields of papers citing papers by Leonardo Fazio
This network shows the impact of papers produced by Leonardo Fazio. 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 Leonardo Fazio. The network helps show where Leonardo Fazio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leonardo Fazio, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 2 | |
| 8 | 2019 | 5 | |
| 9 | 2018 | 13 | |
| 10 | 2017 | 3 | |
| 11 | 2016 | 10 | |
| 12 | 2016 | 24 | |
| 13 | 2016 | 33 | |
| 14 | 2015 | 49 | |
| 15 | 2014 | 39 | |
| 16 | 2011 | 143 | |
| 17 | 2010 | 25 | |
| 18 | 2009 | 86 | |
| 19 | 2008 | 109 | |
| 20 | 2007 | 333 |
About Leonardo Fazio
Leonardo Fazio is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Experimental and Cognitive Psychology, having authored 66 papers that have together received 2.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (35 papers), Schizophrenia research and treatment (16 papers), Neural and Behavioral Psychology Studies (14 papers), Neurotransmitter Receptor Influence on Behavior (11 papers), Receptor Mechanisms and Signaling (10 papers), Neural dynamics and brain function (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Genetic Associations and Epidemiology (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Biological Psychiatry (101 citations) and Psychiatry and Mental health (609 citations). Leonardo Fazio has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Alessandro Bertolino, Giuseppe Blasi, Raffaella Romano, Paolo Taurisano, Teresa Popolizio, Grazia Caforio, Annabella Di Giorgio, Antonio Rampino, Barbara Gelao and Wolfgang Sadée. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.
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.