Tai‐Shun Lin

44 total papers · 1.1k total citations
34 papers, 930 citations indexed

About

Tai‐Shun Lin is a scholar working on Infectious Diseases, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Tai‐Shun Lin has authored 34 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 14 papers in Molecular Biology and 11 papers in Organic Chemistry. Recurrent topics in Tai‐Shun Lin's work include HIV/AIDS drug development and treatment (19 papers), Biochemical and Molecular Research (9 papers) and HIV Research and Treatment (9 papers). Tai‐Shun Lin is often cited by papers focused on HIV/AIDS drug development and treatment (19 papers), Biochemical and Molecular Research (9 papers) and HIV Research and Treatment (9 papers). Tai‐Shun Lin collaborates with scholars based in United States, Germany and Canada. Tai‐Shun Lin's co-authors include William H. Prusoff, Raymond F. Schinazi, Mao‐Chin Liu, Ginger E. Dutschman, Yung‐Chi Cheng, Mei‐Zhen Luo, Ming S. Chen, Alan C. Sartorelli, Elizabeth A. Gullen and Joseph G. Cory and has published in prestigious journals such as Journal of Medicinal Chemistry, Tetrahedron and Biochemical Pharmacology.

In The Last Decade

Tai‐Shun Lin

32 papers receiving 891 citations

Author Peers

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

Author Last Decade Papers Cites
Tai‐Shun Lin 502 393 296 247 239 34 930
Bruno Simoneau 348 0.7× 340 0.9× 241 0.8× 486 2.0× 306 1.3× 35 1.2k
Francesca Curreli 502 1.0× 429 1.1× 415 1.4× 221 0.9× 231 1.0× 38 1.2k
Marcela Krečmerová 355 0.7× 545 1.4× 148 0.5× 242 1.0× 339 1.4× 80 964
S Mori 342 0.7× 179 0.5× 212 0.7× 142 0.6× 322 1.3× 29 826
Zengjun Fang 558 1.1× 387 1.0× 402 1.4× 557 2.3× 288 1.2× 27 1.2k
Noriyuki Ashida 417 0.8× 376 1.0× 251 0.8× 326 1.3× 178 0.7× 53 972
Jayakanth Kankanala 299 0.6× 365 0.9× 244 0.8× 300 1.2× 190 0.8× 30 854
Henri Moereels 437 0.9× 441 1.1× 290 1.0× 127 0.5× 213 0.9× 29 1.2k
Tong Zhao 312 0.6× 330 0.8× 240 0.8× 255 1.0× 187 0.8× 43 878
D.O. Somers 537 1.1× 651 1.7× 381 1.3× 252 1.0× 207 0.9× 18 1.2k

Countries citing papers authored by Tai‐Shun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Tai‐Shun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai‐Shun 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 Tai‐Shun Lin. The network helps show where Tai‐Shun Lin may publish in the future.

Co-authorship network of co-authors of Tai‐Shun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐Shun Lin. A scholar is included among the top collaborators of Tai‐Shun 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 Tai‐Shun Lin. Tai‐Shun 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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2026