Taehyun Ryu

886 citations
8 papers · 640 · h-index 6

Impact in

    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Nuclear Structure and Function
    • CRISPR and Genetic Engineering
  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions

Papers in

    • DNA Repair Mechanisms 6
    • Nuclear Structure and Function 4
    • CRISPR and Genetic Engineering 3
    • Ubiquitin and proteasome pathways 2
    • Genomics and Chromatin Dynamics 1
    • Fungal and yeast genetics research 1
    • RNA modifications and cancer 1
    • Microtubule and mitosis dynamics 1

Taehyun Ryu

8 papers receiving 636 citations

Peers

Taehyun Ryu
Comparison fields: 5 of 45
  • Molecular Biology 578
  • Cell Biology 113
  • Aging 5
  • Plant Science 94
  • Oncology 54
Replace Lætitia Delabaere with:
Lætitia Delabaere United States
Nuno Amaral Spain
Elizabeth T. Wiles United States
Tom Kruitwagen Germany
Nachen Yang United States
Christopher P. Caridi United States
Tongge Zhu China
Sylvain Meunier Spain
Chihiro Horigome Japan
Tamar Listovsky Israel
Taehyun Ryu relative to Lætitia Delabaere United States Lætitia Delabaere's profile →
Citations per field
00.5×1.5×
Lætitia Delabaere · 1×
Citations per year

Countries citing papers authored by Taehyun Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Taehyun Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taehyun 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 Taehyun Ryu. The network helps show where Taehyun Ryu may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2018281
2 2015199
3 201768
4 201636
5 201627
6 201125
7 20242
8 20252

About Taehyun Ryu

Taehyun Ryu is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Infectious Diseases and Organic Chemistry, having authored 8 papers that have together received 640 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), Nuclear Structure and Function (4 papers), CRISPR and Genetic Engineering (3 papers), Ubiquitin and proteasome pathways (2 papers), Genomics and Chromatin Dynamics (1 paper), Fungal and yeast genetics research (1 paper), Microtubule and mitosis dynamics (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Molecular Biology (578 citations), Cell Biology (113 citations), Aging (5 citations), Plant Science (94 citations) and Oncology (54 citations). Taehyun Ryu has collaborated with scholars based in United States, Canada and Czechia. Frequent co-authors include Irene Chiolo, Lætitia Delabaere, Xiao Li, Nuno Amaral, Emily Lin, Varandt Y. Khodaverdian, Alesandra R. Rau, Christopher P. Caridi, Carla D’Agostino and Grzegorz Zapotoczny. Their work appears in journals such as Genetics, Nucleus, Trends in Genetics, Nature Cell Biology and Nature.

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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