Stefano Berto
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- Circadian rhythm and melatonin
Papers in
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- Neurotransmitter Receptor Influence on Behavior 6
- Genetics 11
- Genetics and Neurodevelopmental Disorders 7
- Co-authors
- Geneviève Konopka (19 shared papers)Noriyoshi Usui (7 shared papers)Connor Douglas (5 shared papers)Sean J. Morrison (1 shared paper)Stefano Comazzetto (1 shared paper)Zhiyu Zhao (1 shared paper)Ashwinikumar Kulkarni (3 shared papers)Elise C. Jeffery (1 shared paper)
- Journals
- Nature Communications (5 papers)Cell Reports (3 papers)Molecular Psychiatry (3 papers)eLife (3 papers)Science Advances (2 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Stefano Berto
48 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 95
- Developmental Neuroscience 119
- Endocrine and Autonomic Systems 81
- Genetics 254
- Hematology 111
- Cellular and Molecular Neuroscience 117
Countries citing papers authored by Stefano Berto
This map shows the geographic impact of Stefano Berto'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 Stefano Berto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Berto more than expected).
Fields of papers citing papers by Stefano Berto
This network shows the impact of papers produced by Stefano Berto. 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 Stefano Berto. The network helps show where Stefano Berto may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefano Berto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 147 | |
| 2 | 2022 | 140 | |
| 3 | 2016 | 139 | |
| 4 | 2021 | 118 | |
| 5 | 2019 | 77 | |
| 6 | 2021 | 75 | |
| 7 | 2021 | 69 | |
| 8 | 2016 | 60 | |
| 9 | 2011 | 56 | |
| 10 | 2019 | 56 | |
| 11 | 2022 | 49 | |
| 12 | 2020 | 47 | |
| 13 | 2019 | 46 | |
| 14 | 2014 | 43 | |
| 15 | 2021 | 40 | |
| 16 | 2023 | 31 | |
| 17 | 2020 | 29 | |
| 18 | 2022 | 29 | |
| 19 | 2024 | 27 | |
| 20 | 2020 | 24 |
About Stefano Berto
Stefano Berto is a scholar working on Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Cognitive Neuroscience and Behavioral Neuroscience, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (7 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Single-cell and spatial transcriptomics (4 papers), T-cell and B-cell Immunology (3 papers), Bioinformatics and Genomic Networks (3 papers), Autism Spectrum Disorder Research (3 papers), Schizophrenia research and treatment (2 papers) and Circadian rhythm and melatonin (2 papers). The work is most often cited by research in Developmental Neuroscience (119 citations), Endocrine and Autonomic Systems (81 citations), Genetics (254 citations), Hematology (111 citations) and Cellular and Molecular Neuroscience (117 citations). Stefano Berto has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Geneviève Konopka, Noriyoshi Usui, Connor Douglas, Sean J. Morrison, Stefano Comazzetto, Zhiyu Zhao, Ashwinikumar Kulkarni, Elise C. Jeffery, Malea M. Murphy and Bradley Charles Lega. Their work appears in journals such as Nature Communications, Cell Reports, Molecular Psychiatry, eLife and Science Advances.
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.