Ke Yu Wang

749 citations
9 papers · 658 · h-index 7

Impact in

    • Advanced biosensing and bioanalysis techniques
    • DNA and Nucleic Acid Chemistry
    • RNA Interference and Gene Delivery
    • RNA and protein synthesis mechanisms
    • Protein Structure and Dynamics
    • Advanced NMR Techniques and Applications

Papers in

    • DNA and Nucleic Acid Chemistry 8
    • Advanced biosensing and bioanalysis techniques 5
    • RNA Interference and Gene Delivery 5
    • RNA and protein synthesis mechanisms 1

Ke Yu Wang

9 papers receiving 641 citations

Peers

Ke Yu Wang
Comparison fields: 5 of 48
  • Molecular Biology 625
  • Spectroscopy 52
  • Biophysics 11
  • Biomedical Engineering 59
  • Electrochemistry 8
Replace Regan G. Shea with:
Regan G. Shea United States
Asif K Suri United States
Theresa M. Ridgeway United States
Flint W. Smith United States
Klára Bednářová Czechia
Petra Burgstaller Germany
Lou-Sing Kan Taiwan
Malgorzata B. Tracka United States
P.H. Bolton United States
Rafael del Villar‐Guerra United States
Ke Yu Wang relative to Regan G. Shea United States Regan G. Shea's profile →
Citations per field
00.5×1.5×2.2×
Regan G. Shea · 1×
Citations per year

Countries citing papers authored by Ke Yu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ke Yu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ke Yu Wang. 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 Ke Yu Wang. The network helps show where Ke Yu Wang may publish in the future.

Co-authors

The 14 scholars most cited alongside Ke Yu Wang, 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 Ke Yu Wang Line = papers co-authored together Ke Yu Wang links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1993306
2 1993146
3 199569
4 199659
5 199730
6 199522
7 199419
8 19966
9 20171

About Ke Yu Wang

Ke Yu Wang is a scholar working on Molecular Biology, Infectious Diseases, Ecology, Epidemiology and Agronomy and Crop Science, having authored 9 papers that have together received 658 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (8 papers), Advanced biosensing and bioanalysis techniques (5 papers), RNA Interference and Gene Delivery (5 papers), Influenza Virus Research Studies (1 paper), Molecular Junctions and Nanostructures (1 paper), Animal Disease Management and Epidemiology (1 paper), Quantum-Dot Cellular Automata (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Biology (625 citations), Spectroscopy (52 citations), Biophysics (11 citations), Biomedical Engineering (59 citations) and Electrochemistry (8 citations). Ke Yu Wang has collaborated with scholars based in United States and China. Frequent co-authors include Philip H. Bolton, S. Swaminathan, Sarah N. McCurdy, Regan G. Shea, Steven H. Krawczyk, Norbert Bischofberger, Igor Goljer, Vasilios M. Marathias, Surat Kumar and Linlin Liu. Their work appears in journals such as Biochemistry, Journal of Magnetic Resonance Series B, Magnetic Resonance in Chemistry, Nucleic Acids Research and Journal of Molecular Biology.

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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