Sarah Parylak
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Developmental Neuroscience top 0.5%
- Neurology top 2%
- Biomedical Engineering top 10%
- Co-authors
- Fred H. GageSara B. LinkerTomohisa TodaStephen T. JohnstonJ. Tiago GonçalvesEric P. ZorrillaCooper W BloydSarah Fernandes
- Topics
- Neurogenesis and neuroplasticity mechanisms (9 papers)Neuroscience and Neuropharmacology Research (5 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Sarah Parylak
20 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 709
- Developmental Neuroscience 662
- Neurology 343
- Biomedical Engineering 341
Countries citing papers authored by Sarah Parylak
This map shows the geographic impact of Sarah Parylak'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 Sarah Parylak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Parylak more than expected).
Fields of papers citing papers by Sarah Parylak
This network shows the impact of papers produced by Sarah Parylak. 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 Sarah Parylak. The network helps show where Sarah Parylak may publish in the future.
Co-authorship network of co-authors of Sarah Parylak
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Parylak. A scholar is included among the top collaborators of Sarah Parylak 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 Sarah Parylak. Sarah Parylak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 47 | |
| 5 | 40 | |
| 6 | 64 | |
| 7 | An in vivo model of functional and vascularized human brain organoidsbreakdown → | 858 |
| 8 | The role of adult hippocampal neurogenesis in brain health and diseasebreakdown → | 482 |
| 9 | 68 | |
| 10 | 278 | |
| 11 | 66 | |
| 12 | 33 | |
| 13 | 66 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 57 | |
| 17 | 179 | |
| 18 | 33 | |
| 19 | 46 | |
| 20 | 145 |
About Sarah Parylak
Sarah Parylak is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 20 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (9 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (662 citations), Biological Psychiatry (130 citations) and Neurology (343 citations). Sarah Parylak has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Fred H. Gage, Sara B. Linker, Tomohisa Toda, Stephen T. Johnston, J. Tiago Gonçalves, Eric P. Zorrilla, Cooper W Bloyd, Sarah Fernandes, Hao Li and Daphne Quang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.
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.