Chia‐Hsin Lin

407 citations
20 papers · 281 · h-index 12

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Liver Disease Diagnosis and Treatment 9
    • Hepatitis B Virus Studies 8
    • Hepatitis C virus research 7

Chia‐Hsin Lin

20 papers receiving 279 citations

Peers

Chia‐Hsin Lin
Comparison fields: 5 of 62
  • Hepatology 156
  • Epidemiology 169
  • Toxicology 8
  • Complementary and alternative medicine 12
  • Geriatrics and Gerontology 5
Replace Sizhe Wan with:
Sizhe Wan China
Martina Bordoni Italy
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Facheng Bai China
Xiaosheng Tan China
Dewen Mao China
Chang-Min Kim South Korea
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Xiaoli Ma China
Dong‐Hwa Choi South Korea
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Citations per field
00.5×10×12.5×
Sizhe Wan · 1×
Citations per year

Countries citing papers authored by Chia‐Hsin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Hsin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201945
2 201835
3 201823
4 201822
5 201918
6 201715
7 202015
8 201915
9 201513
10 201812
11 201811
12 202111
13 200110
14 20209
15 20208
16 20226
17 20225
18 20174
19 20223
20 20251

About Chia‐Hsin Lin

Chia‐Hsin Lin is a scholar working on Epidemiology, Hepatology, Molecular Biology, Oncology and Complementary and alternative medicine, having authored 20 papers that have together received 281 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Hepatitis B Virus Studies (8 papers), Hepatitis C virus research (7 papers), Natural product bioactivities and synthesis (2 papers), GABA and Rice Research (2 papers), Identification and Quantification in Food (2 papers), Bioactive natural compounds (2 papers) and Medicinal Plants and Neuroprotection (2 papers). The work is most often cited by research in Hepatology (156 citations), Epidemiology (169 citations), Toxicology (8 citations), Complementary and alternative medicine (12 citations) and Geriatrics and Gerontology (5 citations). Chia‐Hsin Lin has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Hsueh‐Chou Lai, Cheng‐Yuan Peng, Chao‐Lin Kuo, Jing‐Gung Chung, Wen‐Pang Su, Po‐Heng Chuang, Hung‐Wei Wang, Sheng‐Hung Chen, Shu‐Fen Peng and Wei‐Fan Hsu. Their work appears in journals such as Environmental Toxicology, Liver International, Industrial Crops and Products, PLoS ONE and Clinical Infectious Diseases.

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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