Hung‐Che Kuo
Impact in
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- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA modifications and cancer
- Advanced biosensing and bioanalysis techniques
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- SARS-CoV-2 and COVID-19 Research
Papers in
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- CRISPR and Genetic Engineering 6
- DNA Repair Mechanisms 5
- Advanced biosensing and bioanalysis techniques 3
- RNA Research and Splicing 2
- DNA and Nucleic Acid Chemistry 2
- Genomics and Chromatin Dynamics 2
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- Nanocluster Synthesis and Applications 3
- Advanced Nanomaterials in Catalysis 2
- Co-authors
- Ilya J. Finkelstein (10 shared papers)Michael M. Soniat (2 shared papers)Tanya T. Paull (1 shared paper)Logan R. Myler (1 shared paper)Jeff Sekelsky (2 shared papers)Michael H. Brodsky (1 shared paper)Sabrina L. Andersen (1 shared paper)Chia‐Wei Chou (3 shared papers)
- Journals
- Molecular Cell (2 papers)Advanced Materials (2 papers)Nature Communications (1 paper)Molecular Biology of the Cell (1 paper)iScience (1 paper)
- Partner nations
- United StatesTaiwanGermany
In The Last Decade
Hung‐Che Kuo
13 papers receiving 274 citations
Peers
Comparison fields: 5 of 48
- Molecular Biology 223
- Infectious Diseases 52
- Cancer Research 32
- Aging 4
- Structural Biology 2
Countries citing papers authored by Hung‐Che Kuo
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 67 | |
| 2 | 2021 | 39 | |
| 3 | 2011 | 39 | |
| 4 | 2021 | 33 | |
| 5 | 2016 | 25 | |
| 6 | 2014 | 18 | |
| 7 | 2022 | 17 | |
| 8 | 2019 | 15 | |
| 9 | 2024 | 13 | |
| 10 | 2022 | 8 | |
| 11 | 2019 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2022 | 0 |
About Hung‐Che Kuo
Hung‐Che Kuo is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Genetics and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 278 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), DNA Repair Mechanisms (5 papers), Nanocluster Synthesis and Applications (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), RNA Research and Splicing (2 papers), Advanced Nanomaterials in Catalysis (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Molecular Biology (223 citations), Infectious Diseases (52 citations), Cancer Research (32 citations), Aging (4 citations) and Structural Biology (2 citations). Hung‐Che Kuo has collaborated with scholars based in United States, Taiwan and Germany. 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, Christopher Rota and Kamyab Javanmardi. Their work appears in journals such as Molecular Cell, Advanced Materials, Nature Communications, Molecular Biology of the Cell and iScience.
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.