Ta-Hsien Lin

579 citations
34 papers · 443 · h-index 13

Impact in

    • Ubiquitin and proteasome pathways
    • Protein Structure and Dynamics
    • Glycosylation and Glycoproteins Research

Papers in

    • Ubiquitin and proteasome pathways 4
    • Protein Kinase Regulation and GTPase Signaling 4
    • Protein Structure and Dynamics 4
    • Alzheimer's disease research and treatments 8

Ta-Hsien Lin

33 papers receiving 442 citations

Peers

Ta-Hsien Lin
Comparison fields: 5 of 83
  • Virology 17
  • Molecular Biology 241
  • Physiology 77
  • Sensory Systems 14
  • Biomaterials 34
Replace Chandrashekhar Voshavar with:
Chandrashekhar Voshavar United States
Sarker Ramproshad India
Yu Xiao China
Samir K. Nath United States
Sandeep Dave India
Sofie Stalmans Belgium
Yu Wai Chen United Kingdom
Christopher Aquino United States
Ta-Hsien Lin relative to Chandrashekhar Voshavar United States Chandrashekhar Voshavar's profile →
Citations per field
00.5×1.5×2.4×
Chandrashekhar Voshavar · 1×
Citations per year

Countries citing papers authored by Ta-Hsien Lin

Since Specialization
Citations

This map shows the geographic impact of Ta-Hsien 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 Ta-Hsien Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ta-Hsien Lin more than expected).

Fields of papers citing papers by Ta-Hsien Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ta-Hsien 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 Ta-Hsien Lin. The network helps show where Ta-Hsien Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Ta-Hsien Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ta-Hsien Lin Line = papers co-authored together Ta-Hsien Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200448
2 202136
3 200535
4 200732
5 202128
6 201825
7 201722
8 202020
9 202119
10 202019
11 200919
12 201112
13 201212
14 201210
15 202410
16 20039
17 20129
18 20249
19 20159
20 20147

About Ta-Hsien Lin

Ta-Hsien Lin is a scholar working on Molecular Biology, Physiology, Computational Theory and Mathematics, Infectious Diseases and Oncology, having authored 34 papers that have together received 443 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Computational Drug Discovery Methods (6 papers), Ubiquitin and proteasome pathways (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Protein Structure and Dynamics (4 papers), Proteins in Food Systems (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Virology (17 citations), Molecular Biology (241 citations), Physiology (77 citations), Sensory Systems (14 citations) and Biomaterials (34 citations). Ta-Hsien Lin has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Steven S.‐S. Wang, Hsien-Bin Huang, Ming‐Shi Shiao, Chun‐Chao Chang, Huey-Jen Tsay, Gu‐Gang Chang, Chun-Yu Chen, Yi‐Ling Lin, De‐Ming Yang and Mong‐Lien Wang. Their work appears in journals such as International Journal of Biological Macromolecules, Biochemical and Biophysical Research Communications, Journal of Biomolecular Structure and Dynamics, International Journal of Molecular Sciences and Journal of environmental chemical engineering.

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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