Taehoon Ryu
Impact in
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- Advanced biosensing and bioanalysis techniques
- DNA and Biological Computing
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
Papers in
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- Advanced biosensing and bioanalysis techniques 8
- CRISPR and Genetic Engineering 5
- DNA and Biological Computing 4
- Glycosylation and Glycoproteins Research 3
- Single-cell and spatial transcriptomics 2
- Genomics and Phylogenetic Studies 2
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Sunghoon Kwon (11 shared papers)Amos Chungwon Lee (8 shared papers)Yeongjae Choi (7 shared papers)Hansol Choi (5 shared papers)Suk‐Heung Song (2 shared papers)Wook Park (2 shared papers)Hansaem Lee (2 shared papers)Jae-Jun Park (2 shared papers)
- Journals
- Nature Communications (4 papers)International Journal of Molecular Sciences (2 papers)Scientific Reports (1 paper)ACS Synthetic Biology (1 paper)Cell Reports Methods (1 paper)
- Partner nations
- South KoreaPuerto RicoUnited States
In The Last Decade
Taehoon Ryu
20 papers receiving 331 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 235
- Biochemistry 18
- Computational Theory and Mathematics 28
- Sensory Systems 8
- Plant Science 53
Countries citing papers authored by Taehoon Ryu
This map shows the geographic impact of Taehoon Ryu'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 Taehoon Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taehoon Ryu more than expected).
Fields of papers citing papers by Taehoon Ryu
This network shows the impact of papers produced by Taehoon Ryu. 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 Taehoon Ryu. The network helps show where Taehoon Ryu may publish in the future.
Co-authors
The 25 scholars most cited alongside Taehoon Ryu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 2019 | 59 | |
| 3 | 2020 | 57 | |
| 4 | 2015 | 26 | |
| 5 | 2021 | 20 | |
| 6 | 2019 | 17 | |
| 7 | 2019 | 14 | |
| 8 | 2020 | 12 | |
| 9 | 2023 | 9 | |
| 10 | 2020 | 9 | |
| 11 | 2010 | 8 | |
| 12 | 2015 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2018 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2022 | 1 |
About Taehoon Ryu
Taehoon Ryu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Plant Science, Cancer Research and Genetics, having authored 22 papers that have together received 337 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (8 papers), CRISPR and Genetic Engineering (5 papers), DNA and Biological Computing (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Cancer Genomics and Diagnostics (3 papers), Single-cell and spatial transcriptomics (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Molecular Biology (235 citations), Biochemistry (18 citations), Computational Theory and Mathematics (28 citations), Sensory Systems (8 citations) and Plant Science (53 citations). Taehoon Ryu has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Sunghoon Kwon, Amos Chungwon Lee, Yeongjae Choi, Hansol Choi, Suk‐Heung Song, Wook Park, Hansaem Lee, Jae-Jun Park, Soo-Yun Park and So‐Young Lee. Their work appears in journals such as Nature Communications, International Journal of Molecular Sciences, Scientific Reports, ACS Synthetic Biology and Cell Reports Methods.
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.