Ta-Hsien Lin

38 total papers · 564 total citations
34 papers, 417 citations indexed

About

Ta-Hsien Lin is a scholar working on Molecular Biology, Physiology and Computational Theory and Mathematics. According to data from OpenAlex, Ta-Hsien Lin has authored 34 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Physiology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Ta-Hsien Lin's work include Alzheimer's disease research and treatments (8 papers), Computational Drug Discovery Methods (6 papers) and Protein Structure and Dynamics (4 papers). Ta-Hsien Lin is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Computational Drug Discovery Methods (6 papers) and Protein Structure and Dynamics (4 papers). Ta-Hsien Lin collaborates with scholars based in Taiwan, United States and Japan. Ta-Hsien Lin's co-authors include Steven S.‐S. Wang, Hsien-Bin Huang, Ming‐Shi Shiao, Chun‐Chao Chang, Huey-Jen Tsay, Sheh‐Yi Sheu, Chi‐Yuan Chou, Yi‐Ling Lin, Gu‐Gang Chang and Mong‐Lien Wang and has published in prestigious journals such as Journal of Molecular Biology, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Ta-Hsien Lin

32 papers receiving 416 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ta-Hsien Lin	237	78	46	40	36	34	417
Yan Zhang	222 0.9×	55 0.7×	44 1.0×	37 0.9×	25 0.7×	30	489
Blagojce Jovcevski‬	276 1.2×	103 1.3×	24 0.5×	26 0.7×	45 1.3×	27	450
Ida Autiero	305 1.3×	74 0.9×	39 0.8×	15 0.4×	15 0.4×	33	492
Aditya Arya	134 0.6×	46 0.6×	44 1.0×	23 0.6×	18 0.5×	36	414
Gai Liu	194 0.8×	158 2.0×	22 0.5×	33 0.8×	20 0.6×	29	402
Byong Kwon Yoo	189 0.8×	64 0.8×	25 0.5×	37 0.9×	20 0.6×	23	370
Exequiel Barrera	314 1.3×	51 0.7×	15 0.3×	22 0.6×	15 0.4×	27	436
Davide Pirolli	209 0.9×	51 0.7×	36 0.8×	35 0.9×	35 1.0×	27	391
Olga I. Kiseleva	265 1.1×	27 0.3×	42 0.9×	16 0.4×	16 0.4×	39	475
Hongyuan Shen	176 0.7×	16 0.2×	52 1.1×	90 2.3×	19 0.5×	28	457

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

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

All Works

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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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