Chaoping Chen

1.7k citations
48 papers · 1.5k · h-index 20

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Ecology top 5%
    • Bacteriophages and microbial interactions

Papers in

    • RNA and protein synthesis mechanisms 12
    • RNA Interference and Gene Delivery 6
    • Advanced biosensing and bioanalysis techniques 3
    • HIV Research and Treatment 16

Chaoping Chen

48 papers receiving 1.4k citations

Peers

Chaoping Chen
Comparison fields: 5 of 88
  • Virology 270
  • Ecology 506
  • Molecular Biology 995
  • Infectious Diseases 195
  • Structural Biology 13
Replace Redmond P. Smyth with:
Redmond P. Smyth France
Che-Sheng Chung Taiwan
Ferri Soheilian United States
Kiran Kondabagil India
Ann E. Meyers South Africa
Chenglei Li United States
Michael Laughrea Canada
Thorsten G. Müller Germany
Mathilda Sjöberg Sweden
Sergei Pletnev United States
Chaoping Chen relative to Redmond P. Smyth France Redmond P. Smyth's profile →
Citations per field
00.5×6.5×
Redmond P. Smyth · 1×
Citations per year

Countries citing papers authored by Chaoping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chaoping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998306
2 2000105
3 2000101
4 199998
5 201084
6 199764
7 200357
8 200257
9 200552
10 199745
11 200139
12 200038
13 200737
14 200129
15 200328
16 201325
17 202124
18 199923
19 201122
20 200719

About Chaoping Chen

Chaoping Chen is a scholar working on Molecular Biology, Virology, Ecology, Genetics and Infectious Diseases, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (16 papers), RNA and protein synthesis mechanisms (12 papers), Bacteriophages and microbial interactions (12 papers), HIV/AIDS drug development and treatment (9 papers), Virus-based gene therapy research (8 papers), RNA Interference and Gene Delivery (6 papers), Meat and Animal Product Quality (5 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Virology (270 citations), Ecology (506 citations), Molecular Biology (995 citations), Infectious Diseases (195 citations) and Structural Biology (13 citations). Chaoping Chen has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Peixuan Guo, Chunlin Zhang, Ronald C. Montelaro, Mark Trottier, Kyle A. Garver, Sitong Sheng, Zhifeng Shao, Feng Li, Zhifeng Shao and Ora A. Weisz. Their work appears in journals such as Journal of Virology, Retrovirology, Food Chemistry, Journal of Biological Chemistry and PLoS ONE.

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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