Charles Cheung

1.4k citations
34 papers · 1.1k · h-index 15

Impact in

Papers in

    • RNA Interference and Gene Delivery 8
    • Advanced biosensing and bioanalysis techniques 5
    • Genetic Associations and Epidemiology 7
    • Virus-based gene therapy research 6
    • Genetic Mapping and Diversity in Plants and Animals 3

Charles Cheung

33 papers receiving 1.0k citations

Peers

Charles Cheung
Comparison fields: 5 of 109
  • Biomaterials 254
  • Molecular Medicine 80
  • Surfaces, Coatings and Films 63
  • Pharmaceutical Science 51
  • Molecular Biology 558
Replace Minhyung Lee with:
Minhyung Lee South Korea
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Wookhyun Kim United States
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Charles Cheung relative to Minhyung Lee South Korea Minhyung Lee's profile →
Citations per field
00.5×5.7×
Minhyung Lee · 1×
Citations per year

Countries citing papers authored by Charles Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Charles Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003178
2 2002153
3 2001121
4 200077
5 200262
6 200449
7 201348
8 200747
9 200647
10 200838
11 200835
12 201021
13 200621
14 201420
15 200716
16 200714
17 200514
18 201413
19 201412
20 199812

About Charles Cheung

Charles Cheung is a scholar working on Molecular Biology, Genetics, Transportation, Surgery and Biomedical Engineering, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), Genetic Associations and Epidemiology (7 papers), Virus-based gene therapy research (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Urban Transport and Accessibility (4 papers), Transportation Planning and Optimization (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Transportation and Mobility Innovations (2 papers). The work is most often cited by research in Biomaterials (254 citations), Molecular Medicine (80 citations), Surfaces, Coatings and Films (63 citations), Pharmaceutical Science (51 citations) and Molecular Biology (558 citations). Charles Cheung has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Patrick S. Stayton, Allan S. Hoffman, Niren Murthy, Kristi S. Anseth, Themis R. Kyriakides, Fiona E. Black, Paul Börnstein, Ellen M. Wijsman, Mark R. Wilson and Jasmine Zia. Their work appears in journals such as Bioconjugate Chemistry, Journal of Biomaterials Science Polymer Edition, Journal of Controlled Release, The American Journal of Human Genetics and Transportation Research Part A Policy and Practice.

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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