Chen‐Chung Lin

584 citations
17 papers · 434 · h-index 10

Impact in

Papers in

    • Kruppel-like factors research 4
    • RNA Research and Splicing 2
    • Circular RNAs in diseases 2
    • Genomics, phytochemicals, and oxidative stress 2
    • RNA modifications and cancer 2
    • MicroRNA in disease regulation 5

Chen‐Chung Lin

15 papers receiving 428 citations

Peers

Chen‐Chung Lin
Comparison fields: 5 of 67
  • Reproductive Medicine 92
  • Obstetrics and Gynecology 56
  • Cancer Research 94
  • Immunology 92
  • Molecular Biology 258
Replace Pravin Nahar with:
Pravin Nahar Australia
Qiaoying Lv China
Chunfeng Qian China
Shahina Hayat Qatar
Michiya Noguchi Japan
Youn‐Jung Kang South Korea
I. I. Fridlyanskaya Russia
Peter Völker Germany
Xin Dong China
Chen‐Chung Lin relative to Pravin Nahar Australia Pravin Nahar's profile →
Citations per field
00.5×4.7×
Pravin Nahar · 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

17 of 17 papers shown
#Work
1 2001114
2 201490
3 201447
4 201546
5 199330
6 202128
7 199321
8 201918
9 201310
10 20189
11 20217
12 20177
13 20234
14 20242
15 20121
16 20240
17 20240

About Chen‐Chung Lin

Chen‐Chung Lin is a scholar working on Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health, Health, Toxicology and Mutagenesis and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 434 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Kruppel-like factors research (4 papers), Occupational exposure and asthma (4 papers), Indoor Air Quality and Microbial Exposure (2 papers), RNA Research and Splicing (2 papers), Circular RNAs in diseases (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Reproductive Medicine (92 citations), Obstetrics and Gynecology (56 citations), Cancer Research (94 citations), Immunology (92 citations) and Molecular Biology (258 citations). Chen‐Chung Lin has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include J. Michael Ruppert, Meng‐Hsing Wu, H. Sunny Sun, Shaw‐Jenq Tsai, Hsiu‐Mei Chen, Brandon F. Law, Kathleen M. Brundage, Justin M. Hettick, Sarah L. McLaughlin and Mark Farrugia. Their work appears in journals such as Xenobiotica, Molecular Cancer Research, Toxicological Sciences, Biomarkers and Cells.

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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