Mario Valentino
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms 5
- Neurology top 5%
- Traumatic Brain Injury and Neurovascular Disturbances 5
- Biological Psychiatry top 10%
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- Neuroscience and Neuropharmacology Research 5
- Behavioral Neuroscience top 10%
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- Amino Acid Enzymes and Metabolism 8
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- Enzyme Catalysis and Immobilization 5
- Microbial Metabolic Engineering and Bioproduction 5
- Ion channel regulation and function 5
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- Neonatal and fetal brain pathology 5
- Co-authors
- Giuseppe Di GiovanniChristian ZammitRichard MuscatCharles R. GoodlettStefano SerraPeter J. MorganeOscar ResnickLoredano Pollegioni
- Partner nations
- MaltaItalyUnited Kingdom
In The Last Decade
Mario Valentino
41 papers receiving 782 citations
Peers
Comparison fields: 5 of 101
- Developmental Neuroscience 100
- Neurology 138
- Biological Psychiatry 33
- Cellular and Molecular Neuroscience 221
- Behavioral Neuroscience 38
Countries citing papers authored by Mario Valentino
This map shows the geographic impact of Mario Valentino'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 Mario Valentino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Valentino more than expected).
Fields of papers citing papers by Mario Valentino
This network shows the impact of papers produced by Mario Valentino. 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 Mario Valentino. The network helps show where Mario Valentino may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mario Valentino, 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 | 2022 | 4 | |
| 2 | 2021 | 3 | |
| 3 | 2021 | 13 | |
| 4 | 2019 | 18 | |
| 5 | 2018 | 58 | |
| 6 | 2017 | 24 | |
| 7 | Structure–function relationships in human d-amino acid oxidase variants corresponding to known SNPs Proteins and proteomics | 2015 | 1 |
| 8 | 2015 | 6 | |
| 9 | 2015 | 52 | |
| 10 | 2015 | 20 | |
| 11 | 2015 | 31 | |
| 12 | 2014 | 7 | |
| 13 | 2013 | 17 | |
| 14 | 2012 | 27 | |
| 15 | Lateral Habenula Contribution in Nicotine Addiction: Focus on Dopamine, GABA and Serotonin Interactions | 2011 | 6 |
| 16 | 2011 | 26 | |
| 17 | 2005 | 27 | |
| 18 | 2003 | 9 | |
| 19 | 2001 | 4 | |
| 20 | 1997 | 5 |
About Mario Valentino
Mario Valentino is a scholar working on Developmental Neuroscience, Biochemistry and Neurology, having authored 41 papers that have together received 795 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (8 papers), Enzyme Catalysis and Immobilization (5 papers), Neonatal and fetal brain pathology (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Ion channel regulation and function (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). The work is most often cited by research in Developmental Neuroscience (100 citations), Neurology (138 citations) and Biological Psychiatry (33 citations). Mario Valentino has collaborated with scholars based in Malta, Italy and United Kingdom. Frequent co-authors include Giuseppe Di Giovanni, Christian Zammit, Richard Muscat, Charles R. Goodlett, Stefano Serra, Peter J. Morgane, Oscar Resnick, Loredano Pollegioni, Mauro Pessia and Robert Fern. Their work appears in journals such as Nature Communications, Stroke and Annals of Neurology.
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.