Yuan-Ta Lin
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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- Epigenetics and DNA Methylation 1
- Pluripotent Stem Cells Research 1
- S100 Proteins and Annexins 1
- Histone Deacetylase Inhibitors Research 1
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- Alzheimer's disease research and treatments 3
- Telomeres, Telomerase, and Senescence 1
- Co-authors
- Li‐Huei Tsai (8 shared papers)Tak Ko (5 shared papers)Jinsoo Seo (4 shared papers)Waseem Raja (2 shared papers)Alison E. Mungenast (1 shared paper)Fatema Abdurrob (1 shared paper)Julia Maeve Bonner (3 shared papers)Leyla Anne Akay (3 shared papers)
- Journals
- Nature Medicine (2 papers)Cell Reports (1 paper)Nature Aging (1 paper)Nature Neuroscience (1 paper)Stem Cell Reports (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Yuan-Ta Lin
8 papers receiving 988 citations
Yuan-Ta Lin's Hit Papers
Peers
Comparison fields: 5 of 78
- Developmental Neuroscience 183
- Neurology 209
- Aging 43
- Physiology 289
- Cellular and Molecular Neuroscience 213
Countries citing papers authored by Yuan-Ta Lin
This map shows the geographic impact of Yuan-Ta Lin'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 Yuan-Ta Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan-Ta Lin more than expected).
Fields of papers citing papers by Yuan-Ta Lin
This network shows the impact of papers produced by Yuan-Ta Lin. 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 Yuan-Ta Lin. The network helps show where Yuan-Ta Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuan-Ta Lin, 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 | 421 |
| 2 | 2020 | 189 | |
| 3 | 2017 | 125 | |
| 4 | 2016 | 87 | |
| 5 | 2021 | 71 | |
| 6 | 2020 | 57 | |
| 7 | 2021 | 44 | |
| 8 | 2021 | 4 |
About Yuan-Ta Lin
Yuan-Ta Lin is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Surgery and Neurology, having authored 8 papers that have together received 998 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Epigenetics and DNA Methylation (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Pluripotent Stem Cells Research (1 paper), S100 Proteins and Annexins (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Developmental Neuroscience (183 citations), Neurology (209 citations), Aging (43 citations), Physiology (289 citations) and Cellular and Molecular Neuroscience (213 citations). Yuan-Ta Lin has collaborated with scholars based in United States and South Korea. Frequent co-authors include Li‐Huei Tsai, Tak Ko, Jinsoo Seo, Waseem Raja, Alison E. Mungenast, Fatema Abdurrob, Julia Maeve Bonner, Leyla Anne Akay, José Dávila-Velderrain and Hansruedi Mathys. Their work appears in journals such as Nature Medicine, Cell Reports, Nature Aging, Nature Neuroscience and Stem Cell Reports.
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.