Maria Bertuzzi
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
Papers in
- Cell Biology 11
- Zebrafish Biomedical Research Applications 11
-
- Congenital heart defects research 2
- Single-cell and spatial transcriptomics 1
- Co-authors
- Konstantinos Ampatzis (5 shared papers)Abdeljabbar El Manira (8 shared papers)Weipang Chang (2 shared papers)Laurence D. Picton (5 shared papers)Jianren Song (2 shared papers)Çağhan Kızıl (1 shared paper)András Simon (1 shared paper)Francesco Iacoviello (1 shared paper)
- Journals
- Neuron (3 papers)Scientific Reports (1 paper)Current Biology (1 paper)Cell Death and Disease (1 paper)Nature Communications (1 paper)
- Partner nations
- SwedenUnited StatesItaly
In The Last Decade
Maria Bertuzzi
16 papers receiving 290 citations
Peers
Comparison fields: 5 of 68
- Developmental Neuroscience 38
- Cell Biology 129
- Cellular and Molecular Neuroscience 99
- Endocrine and Autonomic Systems 20
- Cognitive Neuroscience 55
Countries citing papers authored by Maria Bertuzzi
This map shows the geographic impact of Maria Bertuzzi'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 Maria Bertuzzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Bertuzzi more than expected).
Fields of papers citing papers by Maria Bertuzzi
This network shows the impact of papers produced by Maria Bertuzzi. 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 Maria Bertuzzi. The network helps show where Maria Bertuzzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria Bertuzzi, 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 | 2020 | 45 | |
| 2 | 2018 | 41 | |
| 3 | 2021 | 37 | |
| 4 | 2022 | 28 | |
| 5 | 2021 | 28 | |
| 6 | 2017 | 25 | |
| 7 | 2018 | 22 | |
| 8 | 2018 | 17 | |
| 9 | 2022 | 12 | |
| 10 | 2016 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2021 | 6 | |
| 14 | 2020 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2025 | 0 |
About Maria Bertuzzi
Maria Bertuzzi is a scholar working on Cell Biology, Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience and Surgery, having authored 17 papers that have together received 296 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (11 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Pancreatic function and diabetes (2 papers), Nerve injury and regeneration (2 papers), Physiological and biochemical adaptations (2 papers), Diabetes and associated disorders (2 papers), Congenital heart defects research (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Developmental Neuroscience (38 citations), Cell Biology (129 citations), Cellular and Molecular Neuroscience (99 citations), Endocrine and Autonomic Systems (20 citations) and Cognitive Neuroscience (55 citations). Maria Bertuzzi has collaborated with scholars based in Sweden, United States and Italy. Frequent co-authors include Konstantinos Ampatzis, Abdeljabbar El Manira, Weipang Chang, Laurence D. Picton, Jianren Song, Çağhan Kızıl, András Simon, Francesco Iacoviello, Paul R. Shearing and S. Zucchelli. Their work appears in journals such as Neuron, Scientific Reports, Current Biology, Cell Death and Disease and Nature Communications.
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.