Gabriele Baj
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms 10
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- Nerve injury and regeneration 18
- Biological Psychiatry top 5%
- Behavioral Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Autism Spectrum Disorder Research 8
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- RNA Interference and Gene Delivery 8
- Signaling Pathways in Disease 5
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- Cellular Mechanics and Interactions 5
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- Genetics and Neurodevelopmental Disorders 5
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- 3D Printing in Biomedical Research 4
- Co-authors
- Enrico TongiorgiCristina ChiaruttiniMoses V. ChaoRuggiero FrancavillaLucia GardossiMarina SciancaleporeL MascarettiAnnalisa Vicario
- Journals
- Scientific Reports (3 papers)Journal of Cell Science (3 papers)Advanced Functional Materials (3 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Gabriele Baj
47 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 114
- Developmental Neuroscience 457
- Cellular and Molecular Neuroscience 916
- Biological Psychiatry 125
- Behavioral Neuroscience 160
- Cognitive Neuroscience 330
Countries citing papers authored by Gabriele Baj
This map shows the geographic impact of Gabriele Baj'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 Gabriele Baj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Baj more than expected).
Fields of papers citing papers by Gabriele Baj
This network shows the impact of papers produced by Gabriele Baj. 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 Gabriele Baj. The network helps show where Gabriele Baj may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gabriele Baj, 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 | 2024 | 3 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 14 | |
| 6 | 2021 | 34 | |
| 7 | 2020 | 14 | |
| 8 | 2016 | 19 | |
| 9 | 2016 | 23 | |
| 10 | 2016 | 44 | |
| 11 | 2015 | 203 | |
| 12 | 2015 | 33 | |
| 13 | 2015 | 54 | |
| 14 | 2014 | 34 | |
| 15 | 2013 | 45 | |
| 16 | 2012 | 89 | |
| 17 | 2012 | 26 | |
| 18 | 2011 | 154 | |
| 19 | 2010 | 39 | |
| 20 | 2010 | 93 |
About Gabriele Baj
Gabriele Baj is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Cell Biology, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Nerve injury and regeneration (18 papers), Neurogenesis and neuroplasticity mechanisms (10 papers), RNA Interference and Gene Delivery (8 papers), Autism Spectrum Disorder Research (8 papers), Cellular Mechanics and Interactions (5 papers), Signaling Pathways in Disease (5 papers), Genetics and Neurodevelopmental Disorders (5 papers) and 3D Printing in Biomedical Research (4 papers). The work is most often cited by research in Developmental Neuroscience (457 citations), Cellular and Molecular Neuroscience (916 citations) and Biological Psychiatry (125 citations). Gabriele Baj has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Enrico Tongiorgi, Cristina Chiaruttini, Moses V. Chao, Ruggiero Francavilla, Lucia Gardossi, Marina Sciancalepore, L Mascaretti, Annalisa Vicario, Michele Simonato and Maura Sonego. Their work appears in journals such as Scientific Reports, Journal of Cell Science, Advanced Functional Materials, Hippocampus and Proceedings of the National Academy of Sciences.
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.