Stefano Berto
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Biological Psychiatry top 5%
Papers in
-
- Single-cell and spatial transcriptomics 6
- Genomics and Chromatin Dynamics 6
- Epigenetics and DNA Methylation 5
-
- Neural dynamics and brain function 4
- Co-authors
- Geneviève Konopka (23 shared papers)Noriyoshi Usui (9 shared papers)Connor Douglas (6 shared papers)Todd M. Preuss (4 shared papers)Stefano Comazzetto (1 shared paper)Sean J. Morrison (1 shared paper)Malea M. Murphy (1 shared paper)Elise Jeffery (1 shared paper)
- Journals
- Neuron (3 papers)Molecular Psychiatry (3 papers)Nature Communications (3 papers)eLife (3 papers)Translational Psychiatry (2 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Stefano Berto
44 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 107
- Developmental Neuroscience 119
- Biological Psychiatry 64
- Endocrine and Autonomic Systems 94
- Neurology 108
- Cognitive Neuroscience 239
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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 136 | |
| 2 | 2016 | 126 | |
| 3 | 2021 | 98 | |
| 4 | 2015 | 92 | |
| 5 | 2015 | 75 | |
| 6 | 2019 | 69 | |
| 7 | 2021 | 66 | |
| 8 | 2021 | 63 | |
| 9 | 2011 | 56 | |
| 10 | 2016 | 50 | |
| 11 | 2019 | 48 | |
| 12 | 2019 | 42 | |
| 13 | 2014 | 40 | |
| 14 | 2020 | 38 | |
| 15 | 2021 | 35 | |
| 16 | 2020 | 26 | |
| 17 | 2022 | 26 | |
| 18 | 2023 | 25 | |
| 19 | 2017 | 23 | |
| 20 | 2021 | 22 |
About Stefano Berto
Stefano Berto is a scholar working on Molecular Biology, Cognitive Neuroscience, Physiology, Genetics and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (7 papers), Single-cell and spatial transcriptomics (6 papers), Genomics and Chromatin Dynamics (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Epigenetics and DNA Methylation (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neural dynamics and brain function (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (119 citations), Biological Psychiatry (64 citations), Endocrine and Autonomic Systems (94 citations), Neurology (108 citations) and Cognitive Neuroscience (239 citations). Stefano Berto has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Geneviève Konopka, Noriyoshi Usui, Connor Douglas, Todd M. Preuss, Stefano Comazzetto, Sean J. Morrison, Malea M. Murphy, Elise Jeffery, Zhiyu Zhao and Ashwinikumar Kulkarni. Their work appears in journals such as Neuron, Molecular Psychiatry, Nature Communications, eLife and Translational Psychiatry.
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.