Mario Valentino
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Neurology top 5%
- Developmental Neuroscience top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Giuseppe Di GiovanniChristian ZammitRichard MuscatCharles R. GoodlettStefano SerraPeter J. MorganeOscar ResnickLoredano Pollegioni
- Topics
- Amino Acid Enzymes and Metabolism (8 papers)Enzyme Catalysis and Immobilization (5 papers)Neonatal and fetal brain pathology (5 papers)
- Partner nations
- MaltaItalyUnited Kingdom
In The Last Decade
Mario Valentino
41 papers receiving 782 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 281
- Cellular and Molecular Neuroscience 221
- Neurology 138
- Developmental Neuroscience 100
- Pediatrics, Perinatology and Child Health 95
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 of co-authors of Mario Valentino
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Valentino. A scholar is included among the top collaborators of Mario Valentino based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Valentino. Mario Valentino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 13 | |
| 4 | 18 | |
| 5 | 58 | |
| 6 | 24 | |
| 7 | Structure–function relationships in human d-amino acid oxidase variants corresponding to known SNPs Proteins and proteomics | 1 |
| 8 | 6 | |
| 9 | 52 | |
| 10 | 20 | |
| 11 | 31 | |
| 12 | 7 | |
| 13 | 17 | |
| 14 | 27 | |
| 15 | Lateral Habenula Contribution in Nicotine Addiction: Focus on Dopamine, GABA and Serotonin Interactions | 6 |
| 16 | 26 | |
| 17 | 27 | |
| 18 | 9 | |
| 19 | 4 | |
| 20 | 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) and Neonatal and fetal brain pathology (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.