Yu‐Shih Lin

720 total citations · 1 hit paper
21 papers, 576 citations indexed

About

Yu‐Shih Lin is a scholar working on Molecular Biology, Complementary and alternative medicine and Cancer Research. According to data from OpenAlex, Yu‐Shih Lin has authored 21 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Complementary and alternative medicine and 5 papers in Cancer Research. Recurrent topics in Yu‐Shih Lin's work include Traditional Chinese Medicine Analysis (5 papers), Computational Drug Discovery Methods (4 papers) and Cancer-related molecular mechanisms research (4 papers). Yu‐Shih Lin is often cited by papers focused on Traditional Chinese Medicine Analysis (5 papers), Computational Drug Discovery Methods (4 papers) and Cancer-related molecular mechanisms research (4 papers). Yu‐Shih Lin collaborates with scholars based in Taiwan and United States. Yu‐Shih Lin's co-authors include Ching‐Yuan Wu, Yao‐Hsu Yang, Yu‐Ching Cheng, Li‐Hsin Shu, Jrhau Lung, Wen‐Huang Peng, Geng‐He Chang, Cheng‐Ming Hsu, Ming‐Shao Tsai and Jong‐Yuh Cherng and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Nutrients.

In The Last Decade

Yu‐Shih Lin

21 papers receiving 569 citations

Hit Papers

The potential chemical structure of anti‐SARS‐CoV‐2 RNA‐d... 2020 2026 2022 2024 2020 50 100 150 200

Peers

Yu‐Shih Lin
Comparison fields: 5 of 89
  • Molecular Biology 204
  • Infectious Diseases 136
  • Pulmonary and Respiratory Medicine 111
  • Complementary and alternative medicine 108
  • Cancer Research 108
Replace Li‐Hsin Shu with:
Li‐Hsin Shu Taiwan
Madhu Cholenahalli Lingaraju India
Guanghao Zhu China
Maha M. Abdel‐Fattah Egypt
Abhilasha Sharma India
Beixian Zhou China
Sara Abdelfatah Germany
Xingjiang Hu China
Hao Liang China
Saroj Verma India
Li‐Hsin Shu Taiwan View profile →
Citations per field, relative to Yu‐Shih Lin
Yu‐Shih Lin · 1×
Citations per year, relative to Yu‐Shih Lin
Yu‐Shih Lin · 1×

Countries citing papers authored by Yu‐Shih Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Shih Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Shih Lin

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 3
3 2
4 3
5 1
6 4
7 2
8 5
9 9
10 19
11 10
12 52
13
The potential chemical structure of anti‐SARS‐CoV‐2 RNA‐dependent RNA polymerase breakdown →
225
14 37
15 28
16 94
17 32
18 1
19 5
20 3

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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