Yuan-Ta Lin

3.2k total citations · 1 hit paper
8 papers, 965 citations indexed

About

Yuan-Ta Lin is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yuan-Ta Lin has authored 8 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yuan-Ta Lin's work include Alzheimer's disease research and treatments (3 papers), Barrier Structure and Function Studies (1 paper) and Cholesterol and Lipid Metabolism (1 paper). Yuan-Ta Lin is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Barrier Structure and Function Studies (1 paper) and Cholesterol and Lipid Metabolism (1 paper). Yuan-Ta Lin collaborates with scholars based in United States and South Korea. Yuan-Ta Lin's 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 and has published in prestigious journals such as Nature Medicine, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Yuan-Ta Lin

8 papers receiving 955 citations

Hit Papers

Self-Organizing 3D Human Neural Tissue Derived from Induc... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yuan-Ta Lin United States 7 569 314 218 217 212 8 965
Priya Srikanth United States 13 589 1.0× 247 0.8× 218 1.0× 99 0.5× 125 0.6× 16 866
Charles Arber United Kingdom 16 642 1.1× 351 1.1× 331 1.5× 294 1.4× 89 0.4× 32 1.1k
Julia TCW United States 15 633 1.1× 394 1.3× 210 1.0× 302 1.4× 70 0.3× 25 1.1k
Matheus B. Victor United States 12 877 1.5× 324 1.0× 359 1.6× 386 1.8× 110 0.5× 16 1.4k
Sol M. Reyna United States 7 793 1.4× 510 1.6× 344 1.6× 93 0.4× 194 0.9× 8 1.2k
Mathéa Pietri France 14 636 1.1× 212 0.7× 252 1.2× 286 1.3× 147 0.7× 22 1.0k
Heather C. Rice United States 14 484 0.9× 465 1.5× 324 1.5× 164 0.8× 61 0.3× 22 964
Leslie M. Tong United States 11 573 1.0× 309 1.0× 425 1.9× 130 0.6× 67 0.3× 11 1.0k
Hasan X. Avci Hungary 10 418 0.7× 132 0.4× 250 1.1× 88 0.4× 116 0.5× 12 738
Kayoko Tsukita Japan 16 640 1.1× 307 1.0× 300 1.4× 195 0.9× 101 0.5× 36 1.1k

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
1.
Shim, Hong Seok, James W. Horner, Chang‐Jiun Wu, et al.. (2021). Telomerase reverse transcriptase preserves neuron survival and cognition in Alzheimer’s disease models. Nature Aging. 1(12). 1162–1174. 42 indexed citations
2.
Jeong, Woojin, Heejin Lim, Sukhee Cho, et al.. (2021). APOE4-carrying human astrocytes oversupply cholesterol to promote neuronal lipid raft expansion and Aβ generation. Stem Cell Reports. 16(9). 2128–2137. 65 indexed citations
3.
Blanchard, Joel, Michael Bula, José Dávila-Velderrain, et al.. (2021). Author Correction: Reconstruction of the human blood–brain barrier in vitro reveals a pathogenic mechanism of APOE4 in pericytes. Nature Medicine. 27(2). 356–356. 4 indexed citations
4.
Blanchard, Joel, Michael Bula, José Dávila-Velderrain, et al.. (2020). Reconstruction of the human blood–brain barrier in vitro reveals a pathogenic mechanism of APOE4 in pericytes. Nature Medicine. 26(6). 952–963. 182 indexed citations
5.
Narayan, Priyanka, Grzegorz Sienski, Julia Maeve Bonner, et al.. (2020). PICALM Rescues Endocytic Defects Caused by the Alzheimer’s Disease Risk Factor APOE4. Cell Reports. 33(1). 108224–108224. 57 indexed citations
6.
Seo, Jinsoo, Oleg Kritskiy, L. Ashley Watson, et al.. (2017). Inhibition of p25/Cdk5 Attenuates Tauopathy in Mouse and iPSC Models of Frontotemporal Dementia. Journal of Neuroscience. 37(41). 9917–9924. 120 indexed citations
7.
Raja, Waseem, Alison E. Mungenast, Yuan-Ta Lin, et al.. (2016). Self-Organizing 3D Human Neural Tissue Derived from Induced Pluripotent Stem Cells Recapitulate Alzheimer’s Disease Phenotypes. PLoS ONE. 11(9). e0161969–e0161969. 409 indexed citations breakdown →
8.
Nott, Alexi, Jemmie Cheng, Fan Gao, et al.. (2016). Histone deacetylase 3 associates with MeCP2 to regulate FOXO and social behavior. Nature Neuroscience. 19(11). 1497–1505. 86 indexed citations

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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