Hung‐Che Kuo

588 citations
12 papers · 231 · h-index 9

Impact in

    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA modifications and cancer

Papers in

    • CRISPR and Genetic Engineering 6
    • DNA Repair Mechanisms 5
    • Advanced biosensing and bioanalysis techniques 2
    • RNA and protein synthesis mechanisms 2
    • Genomics and Chromatin Dynamics 2
    • DNA and Nucleic Acid Chemistry 2
    • RNA Research and Splicing 2
    • Nanocluster Synthesis and Applications 2

Hung‐Che Kuo

10 papers receiving 228 citations

Peers

Hung‐Che Kuo
Comparison fields: 5 of 42
  • Molecular Biology 205
  • Aging 4
  • Cancer Research 33
  • Infectious Diseases 28
  • Structural Biology 2
Replace Deepak Khuperkar with:
Deepak Khuperkar India
Alicia Farmer United States
Silvia Jimeno-González Spain
Lisa Muniz France
Richard Lauman United States
Marco Russo Italy
Sabine Wenzel United States
Lianxing Zheng United States
Christine Le Bec France
Hung‐Che Kuo relative to Deepak Khuperkar India Deepak Khuperkar's profile →
Citations per field
00.5×
Deepak Khuperkar · 1×
Citations per year

Countries citing papers authored by Hung‐Che Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐Che Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung‐Che Kuo. 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 Hung‐Che Kuo. The network helps show where Hung‐Che Kuo may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201966
2 201139
3 202136
4 201623
5 201418
6 202216
7 201914
8 202410
9 20228
10 20201
11 20250
12 20220

About Hung‐Che Kuo

Hung‐Che Kuo is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 231 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), DNA Repair Mechanisms (5 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA and protein synthesis mechanisms (2 papers), Nanocluster Synthesis and Applications (2 papers), Genomics and Chromatin Dynamics (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Molecular Biology (205 citations), Aging (4 citations), Cancer Research (33 citations), Infectious Diseases (28 citations) and Structural Biology (2 citations). Hung‐Che Kuo has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Ilya J. Finkelstein, Michael M. Soniat, Tanya T. Paull, Logan R. Myler, Jeff Sekelsky, Michael H. Brodsky, Sabrina L. Andersen, Chia‐Wei Chou, Kathryn P. Kohl and Susan McMahan. Their work appears in journals such as Molecular Cell, Advanced Materials, iScience, Molecular Biology of the Cell and Journal of Biological 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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