Tak Ko
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Barrier Structure and Function Studies
Papers in
-
- Pluripotent Stem Cells Research 3
- Genomics and Chromatin Dynamics 2
- CRISPR and Genetic Engineering 2
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- Alzheimer's disease research and treatments 1
- Co-authors
- Li‐Huei Tsai (7 shared papers)Yuan-Ta Lin (5 shared papers)Waseem Raja (2 shared papers)Jinsoo Seo (2 shared papers)Fatema Abdurrob (2 shared papers)Alison E. Mungenast (1 shared paper)R. Gary Ritzel (1 shared paper)Helmut Bertrand (1 shared paper)
- Journals
- Nature Medicine (2 papers)The International Journal of Developmental Biology (1 paper)Journal of Neuroscience (1 paper)Genetics (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesSpainCanada
In The Last Decade
Tak Ko
11 papers receiving 1000 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Developmental Neuroscience 189
- Neurology 182
- Aging 37
- Cellular and Molecular Neuroscience 207
- Molecular Biology 652
Countries citing papers authored by Tak Ko
This map shows the geographic impact of Tak Ko'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 Tak Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tak Ko more than expected).
Fields of papers citing papers by Tak Ko
This network shows the impact of papers produced by Tak Ko. 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 Tak Ko. The network helps show where Tak Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Tak Ko, 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 | Self-Organizing 3D Human Neural Tissue Derived from Induced Pluripotent Stem Cells Recapitulate Alzheimer’s Disease Phenotypes Hit paper breakdown → | 2016 | 409 |
| 2 | 2020 | 182 | |
| 3 | 2017 | 120 | |
| 4 | 2016 | 86 | |
| 5 | 1996 | 83 | |
| 6 | 2022 | 56 | |
| 7 | 2009 | 37 | |
| 8 | 2006 | 17 | |
| 9 | 2009 | 14 | |
| 10 | 2023 | 4 | |
| 11 | 2021 | 4 | |
| 12 | Examination of Correction Factor for Manganese Nodule Abundance Using the Free Fall Grab and Box Corer | 2008 | 1 |
About Tak Ko
Tak Ko is a scholar working on Molecular Biology, Physiology, Genetics, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Genomics and Chromatin Dynamics (2 papers), CRISPR and Genetic Engineering (2 papers), Geochemistry and Geologic Mapping (1 paper), Cell Image Analysis Techniques (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Developmental Neuroscience (189 citations), Neurology (182 citations), Aging (37 citations), Cellular and Molecular Neuroscience (207 citations) and Molecular Biology (652 citations). Tak Ko has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Li‐Huei Tsai, Yuan-Ta Lin, Waseem Raja, Jinsoo Seo, Fatema Abdurrob, Alison E. Mungenast, R. Gary Ritzel, Helmut Bertrand, Hugh P. Cam and Joel Blanchard. Their work appears in journals such as Nature Medicine, The International Journal of Developmental Biology, Journal of Neuroscience, Genetics and Nature Neuroscience.
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.