Chao‐Hsiung Lin

2.3k citations
74 papers · 1.9k · h-index 25

Impact in

Papers in

    • Cancer-related gene regulation 6
    • Mitochondrial Function and Pathology 6
    • Metabolomics and Mass Spectrometry Studies 6
    • Epigenetics and DNA Methylation 5
    • Immune Response and Inflammation 5
    • Immune cells in cancer 4

Chao‐Hsiung Lin

72 papers receiving 1.9k citations

Peers

Chao‐Hsiung Lin
Comparison fields: 5 of 121
  • Complementary and alternative medicine 178
  • Molecular Biology 877
  • Endocrine and Autonomic Systems 57
  • Infectious Diseases 149
  • Immunology 171
Replace Chiung‐Tong Chen with:
Chiung‐Tong Chen Taiwan
Rocı́o Sancho Spain
Simona Sestito Italy
Ke Wang China
Jacob Gopas Israel
Hiroshi Kondoh Japan
Kiho Lee South Korea
Edith Monteagudo Italy
Matthias Engel Germany
Chao‐Hsiung Lin relative to Chiung‐Tong Chen Taiwan Chiung‐Tong Chen's profile →
Citations per field
00.5×1.5×2.2×
Chiung‐Tong Chen · 1×
Citations per year

Countries citing papers authored by Chao‐Hsiung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Hsiung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chao‐Hsiung 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 Chao‐Hsiung Lin Line = papers co-authored together Chao‐Hsiung Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006224
2 2004121
3 202099
4 201492
5 196564
6 200563
7 202260
8 201259
9 199754
10 201053
11 197950
12 201446
13 200846
14 200341
15 201438
16 201335
17 199932
18 201232
19 200631
20 201731

About Chao‐Hsiung Lin

Chao‐Hsiung Lin is a scholar working on Molecular Biology, Immunology, Epidemiology, Complementary and alternative medicine and Cell Biology, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Andrographolide Research and Applications (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Cancer-related gene regulation (6 papers), Mitochondrial Function and Pathology (6 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Epigenetics and DNA Methylation (5 papers), Immune Response and Inflammation (5 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Complementary and alternative medicine (178 citations), Molecular Biology (877 citations), Endocrine and Autonomic Systems (57 citations), Infectious Diseases (149 citations) and Immunology (171 citations). Chao‐Hsiung Lin has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include Shu‐Ling Fu, Chung‐Ming Sun, Manohar V. Kulkarni, Geeta M. Kulkarni, Yi‐Long Huang, Ting‐Fen Tsai, Chi‐Yuan Chou, Gu‐Gang Chang, Kim D. Janda and Peter Wirsching. Their work appears in journals such as Biochemical Pharmacology, Scientific Reports, PLoS ONE, PROTEOMICS and Aging Cell.

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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