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
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- Pluripotent Stem Cells Research 3
- Genomics and Chromatin Dynamics 2
- CRISPR and Genetic Engineering 2
- Epigenetics and DNA Methylation 1
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- Alzheimer's disease research and treatments 2
- Co-authors
- Li‐Huei Tsai (8 shared papers)Yuan-Ta Lin (5 shared papers)Jinsoo Seo (2 shared papers)Waseem Raja (2 shared papers)Fatema Abdurrob (2 shared papers)Alison E. Mungenast (1 shared paper)Joel Blanchard (2 shared papers)Leyla Anne Akay (2 shared papers)
- Journals
- Nature Medicine (2 papers)Cell stem cell (1 paper)BioTechniques (1 paper)The International Journal of Developmental Biology (1 paper)Molecular Psychiatry (1 paper)
- Partner nations
- United StatesChinaCzechia
In The Last Decade
Tak Ko
11 papers receiving 1.1k citations
Tak Ko's Hit Papers
Peers
Comparison fields: 5 of 94
- Developmental Neuroscience 187
- Neurology 185
- Aging 38
- Cellular and Molecular Neuroscience 206
- Molecular Biology 657
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 | 436 |
| 2 | 2020 | 199 | |
| 3 | 2017 | 128 | |
| 4 | 2016 | 90 | |
| 5 | 1996 | 85 | |
| 6 | 2022 | 57 | |
| 7 | 2009 | 38 | |
| 8 | 2006 | 18 | |
| 9 | 2009 | 14 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 4 | |
| 12 | Examination of Correction Factor for Manganese Nodule Abundance Using the Free Fall Grab and Box Corer | 2008 | 1 |
| 13 | 2025 | 0 |
About Tak Ko
Tak Ko is a scholar working on Molecular Biology, Physiology, Genetics, Neurology and Developmental Neuroscience, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), Alzheimer's disease research and treatments (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Barrier Structure and Function Studies (2 papers), Genomics and Chromatin Dynamics (2 papers), CRISPR and Genetic Engineering (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Developmental Neuroscience (187 citations), Neurology (185 citations), Aging (38 citations), Cellular and Molecular Neuroscience (206 citations) and Molecular Biology (657 citations). Tak Ko has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Li‐Huei Tsai, Yuan-Ta Lin, Jinsoo Seo, Waseem Raja, Fatema Abdurrob, Alison E. Mungenast, Joel Blanchard, Leyla Anne Akay, Julia Maeve Bonner and Alexander Frank. Their work appears in journals such as Nature Medicine, Cell stem cell, BioTechniques, The International Journal of Developmental Biology and Molecular 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.