Chen‐Chung Lin

598 citations
19 papers · 468 · h-index 10

Impact in

Papers in

    • Kruppel-like factors research 4
    • Genomics, phytochemicals, and oxidative stress 3
    • Circular RNAs in diseases 3
    • Ubiquitin and proteasome pathways 2
    • RNA Research and Splicing 2
    • MicroRNA in disease regulation 6

Chen‐Chung Lin

17 papers receiving 455 citations

Peers

Chen‐Chung Lin
Comparison fields: 5 of 69
  • Reproductive Medicine 96
  • Cancer Research 88
  • Obstetrics and Gynecology 37
  • Immunology 81
  • Molecular Biology 259
Replace Shahina Hayat with:
Shahina Hayat Qatar
Xue Feng China
Pravin Nahar Australia
Kazuomi Nakamura Japan
Xue Mi China
Merve Denizli United States
Youn‐Jung Kang South Korea
Daiva Dabkevičienė Lithuania
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Citations per field
00.5×3.7×
Shahina Hayat · 1×
Citations per year

Countries citing papers authored by Chen‐Chung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Chung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2001123
2 201492
3 201448
4 201547
5 199336
6 202129
7 199322
8 201920
9 201311
10 201811
11 20219
12 20177
13 20236
14 20244
15 20241
16 20121
17 20241
18 20250
19 20240

About Chen‐Chung Lin

Chen‐Chung Lin is a scholar working on Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Health, Toxicology and Mutagenesis, having authored 19 papers that have together received 468 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Occupational exposure and asthma (5 papers), Kruppel-like factors research (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Circular RNAs in diseases (3 papers), Ubiquitin and proteasome pathways (2 papers), Indoor Air Quality and Microbial Exposure (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Reproductive Medicine (96 citations), Cancer Research (88 citations), Obstetrics and Gynecology (37 citations), Immunology (81 citations) and Molecular Biology (259 citations). Chen‐Chung Lin has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Hsiu‐Mei Chen, H. Sunny Sun, Meng‐Hsing Wu, Shaw‐Jenq Tsai, J. Michael Ruppert, Brandon F. Law, Justin M. Hettick, Kathleen M. Brundage, Mark Farrugia and Sarah L. McLaughlin. Their work appears in journals such as Xenobiotica, Toxicological Sciences, Molecular Cancer Research, The Journal of Clinical Endocrinology & Metabolism and Current Opinion in Allergy and Clinical Immunology.

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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