Taehoon Ryu

564 citations
23 papers · 399 · h-index 10

Impact in

    • DNA and Biological Computing
    • Advanced biosensing and bioanalysis techniques
    • CRISPR and Genetic Engineering
    • Single-cell and spatial transcriptomics

Papers in

    • Advanced biosensing and bioanalysis techniques 8
    • CRISPR and Genetic Engineering 5
    • DNA and Biological Computing 4
    • Glycosylation and Glycoproteins Research 3
    • Genomics and Phylogenetic Studies 2
    • Cancer Genomics and Diagnostics 3

Taehoon Ryu

23 papers receiving 392 citations

Peers

Taehoon Ryu
Comparison fields: 5 of 69
  • Molecular Biology 269
  • Biochemistry 18
  • Cancer Research 33
  • Sensory Systems 9
  • Radiology, Nuclear Medicine and Imaging 31
Replace Anupam Gautam with:
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Citations per field
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Citations per year

Countries citing papers authored by Taehoon Ryu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Taehoon Ryu Line = papers co-authored together Taehoon Ryu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201985
2 201966
3 202060
4 201529
5 202225
6 202122
7 201918
8 201917
9 202011
10 202310
11 20249
12 20209
13 20109
14 20156
15 20236
16 20184
17 20253
18 20253
19 20202
20 20232

About Taehoon Ryu

Taehoon Ryu is a scholar working on Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Plant Science and Sensory Systems, having authored 23 papers that have together received 399 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (8 papers), CRISPR and Genetic Engineering (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), DNA and Biological Computing (4 papers), Glycosylation and Glycoproteins Research (3 papers), Cancer Genomics and Diagnostics (3 papers), Genomics and Phylogenetic Studies (2 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Molecular Biology (269 citations), Biochemistry (18 citations), Cancer Research (33 citations), Sensory Systems (9 citations) and Radiology, Nuclear Medicine and Imaging (31 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, Wook Park, Suk‐Heung Song, Jae-Jun Park, Hansaem Lee, Hyeon‐Jung Kang and Seon‐Woo Oh. Their work appears in journals such as Nature Communications, International Journal of Molecular Sciences, Clinical and Translational Medicine, Cell Reports Methods and ACS Synthetic 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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