Chao Lin

4.1k citations
113 papers · 3.4k · h-index 32

Impact in

Papers in

    • RNA Interference and Gene Delivery 36
    • Advanced biosensing and bioanalysis techniques 23
    • Epigenetics and DNA Methylation 7
    • Nanoparticle-Based Drug Delivery 17

Chao Lin

111 papers receiving 3.4k citations

Peers

Chao Lin
Comparison fields: 5 of 124
  • Biomaterials 946
  • Molecular Medicine 215
  • Molecular Biology 1.7k
  • Biomedical Engineering 1.0k
  • Surfaces, Coatings and Films 148
Replace Ji Sun Park with:
Ji Sun Park South Korea
Udo Greiser Ireland
Jianru Xiao China
Dezhong Zhou China
Hassan Niknejad Iran
Garry P. Duffy Ireland
Keiji Itaka Japan
Grégory De Crescenzo Canada
Vítor M. Gaspar Portugal
Chao Lin relative to Ji Sun Park South Korea Ji Sun Park's profile →
Citations per field
00.5×1.5×
Ji Sun Park · 1×
Citations per year

Countries citing papers authored by Chao Lin

Since Specialization
Citations

This map shows the geographic impact of Chao 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 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 Lin more than expected).

Fields of papers citing papers by Chao Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015305
2 2006261
3 2006191
4 2006160
5 2007143
6 2008114
7
Down-regulation of MiR-206 promotes proliferation and invasion of laryngeal cancer by regulating VEGF expression.
2011112
8 2020103
9 201495
10 201078
11 200877
12 201672
13 201369
14 200966
15 201153
16 201452
17 201550
18 201549
19 202148
20 201148

About Chao Lin

Chao Lin is a scholar working on Molecular Biology, Biomaterials, Genetics, Biomedical Engineering and Cancer Research, having authored 113 papers that have together received 3.4k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (36 papers), Virus-based gene therapy research (25 papers), Advanced biosensing and bioanalysis techniques (23 papers), Nanoparticle-Based Drug Delivery (17 papers), Nanoplatforms for cancer theranostics (10 papers), Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (8 papers) and Epigenetics and DNA Methylation (7 papers). The work is most often cited by research in Biomaterials (946 citations), Molecular Medicine (215 citations), Molecular Biology (1.7k citations), Biomedical Engineering (1.0k citations) and Surfaces, Coatings and Films (148 citations). Chao Lin has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Johan F. J. Engbersen, Jan Feijén, Zhiyuan Zhong, M.C. Lok, Wim E. Hennink, Peng Zhao, Xuejun Wen, Xulin Jiang, Donglu Shi and Jian Cheng. Their work appears in journals such as Journal of Controlled Release, Materials Science and Engineering C, Journal of Materials Chemistry B, International Journal of Nanomedicine and Bioconjugate Chemistry.

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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