Yuan-Ta Lin

3.2k citations
8 papers · 965 indexed · 1 hit paper · h-index 7
Topics
Alzheimer's disease research and treatments (3 papers)Barrier Structure and Function Studies (1 paper)Cholesterol and Lipid Metabolism (1 paper)
Partner nations
United StatesSouth Korea

In The Last Decade

Yuan-Ta Lin

8 papers receiving 955 citations

Hit Papers

Self-Organizing 3D Human Neural Tissue Derived from Induc...20162026201920222016100200300400

Peers

Yuan-Ta Lin
Comparison fields: 5 of 79
  • Molecular Biology 569
  • Physiology 314
  • Cellular and Molecular Neuroscience 218
  • Neurology 217
  • Biomedical Engineering 212
Replace Charles Arber with:
Charles Arber United Kingdom
Sol M. Reyna United States
Priya Srikanth United States
Matheus B. Victor United States
Julia TCW United States
Heather C. Rice United States
Leslie M. Tong United States
Minna Oksanen Finland
Yaisa Andrews‐Zwilling United States
Kayoko Tsukita Japan
Yuan-Ta Lin relative to Charles Arber United Kingdom Charles Arber's profile →
Citations per field
00.5×1.5×2.4×
Charles Arber · 1×
Citations per year

Countries citing papers authored by Yuan-Ta Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Yuan-Ta Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan-Ta Lin. A scholar is included among the top collaborators of Yuan-Ta Lin 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 Yuan-Ta Lin. Yuan-Ta Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 42
2 65
3 4
4 182
5 57
6 120
7
Self-Organizing 3D Human Neural Tissue Derived from Induced Pluripotent Stem Cells Recapitulate Alzheimer’s Disease Phenotypesbreakdown →
409
8 86

About Yuan-Ta Lin

Yuan-Ta Lin is a scholar working on Aging, Developmental Neuroscience and Biophysics, having authored 8 papers that have together received 965 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Barrier Structure and Function Studies (1 paper) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Developmental Neuroscience (191 citations), Neurology (217 citations) and Aging (44 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, Fatema Abdurrob, Alison E. Mungenast, Julia Maeve Bonner, Leyla Anne Akay, Sukhee Cho and Alexander Frank. Their work appears in journals such as Nature Medicine, Journal of Neuroscience 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.

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