Chia‐Hui Lin

1.4k citations
73 papers · 1.1k · h-index 18

Impact in

Papers in

    • Epigenetics and DNA Methylation 5
    • Cancer-related gene regulation 4
    • Peroxisome Proliferator-Activated Receptors 3
    • Histone Deacetylase Inhibitors Research 3

Chia‐Hui Lin

68 papers receiving 1.1k citations

Peers

Chia‐Hui Lin
Comparison fields: 5 of 108
  • Hepatology 102
  • Sensory Systems 34
  • Molecular Biology 447
  • Rheumatology 81
  • Obstetrics and Gynecology 32
Replace Ina V. Martin with:
Ina V. Martin Germany
Chong Hyun Shin United States
Yoshiyasu Kaneko Japan
Helen Valentine United Kingdom
Elizabeth R. Bergert United States
Philippe Leclerc France
Tien-Shun Yeh Taiwan
Helios Martínez‐Banaclocha Spain
Kun Yao China
Chia‐Hui Lin relative to Ina V. Martin Germany Ina V. Martin's profile →
Citations per field
00.5×7.4×
Ina V. Martin · 1×
Citations per year

Countries citing papers authored by Chia‐Hui Lin

Since Specialization
Citations

This map shows the geographic impact of Chia‐Hui 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‐Hui 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‐Hui Lin more than expected).

Fields of papers citing papers by Chia‐Hui Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008101
2 201091
3 200665
4
Tumor necrosis factor promoter polymorphisms in patients with rheumatoid arthritis in Taiwan.
200150
5 201247
6 201144
7 201437
8 201635
9 201430
10 201228
11 200626
12 201726
13 199825
14 201223
15 201222
16 200622
17 200320
18 201318
19 200417
20 201117

About Chia‐Hui Lin

Chia‐Hui Lin is a scholar working on Molecular Biology, Surgery, Rheumatology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Cancer-related gene regulation (4 papers), Oral and Maxillofacial Pathology (3 papers), Systemic Lupus Erythematosus Research (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). The work is most often cited by research in Hepatology (102 citations), Sensory Systems (34 citations), Molecular Biology (447 citations), Rheumatology (81 citations) and Obstetrics and Gynecology (32 citations). Chia‐Hui Lin has collaborated with scholars based in Taiwan, United States and Spain. Frequent co-authors include Tsan‐Teng Ou, Jeng‐Hsien Yen, Cheng‐Chin Wu, Chien‐Nan Lee, Jenny Que, Ruei‐Nian Li, Susan M. Abmayr, Hong‐Wen Liu, Jerry L. Workman and Tsai-Yun Lin. Their work appears in journals such as Medicine, PLoS ONE, Journal of Medicinal Chemistry, Scientific Reports and Plant and Cell Physiology.

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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