Kyu‐Hyeon Yeom

2.0k citations
14 papers · 1.6k indexed · 1 hit paper · h-index 12
Topics
RNA Research and Splicing (13 papers)MicroRNA in disease regulation (7 papers)RNA modifications and cancer (5 papers)

In The Last Decade

Kyu‐Hyeon Yeom

14 papers receiving 1.5k citations

Hit Papers

TUT4 in Concert with Lin28 Suppresses MicroRNA Biogenesis...20092026201420202009200400600

Peers

Kyu‐Hyeon Yeom
Comparison fields: 5 of 77
  • Molecular Biology 1.4k
  • Cancer Research 969
  • Plant Science 87
  • Immunology 60
  • Genetics 52
Replace Takeshi Chujo with:
Takeshi Chujo Japan
Vamsi K. Gangaraju United States
Clare Gooding United Kingdom
Ronit Nir Israel
Demián Cazalla United States
Sushama Sivakumar United States
Vihandha O. Wickramasinghe United Kingdom
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Benjamin Vitre United States
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Kyu‐Hyeon Yeom relative to Takeshi Chujo Japan Takeshi Chujo's profile →
Citations per field
00.5×1.5×1.9×
Takeshi Chujo · 1×
Citations per year

Countries citing papers authored by Kyu‐Hyeon Yeom

Since Specialization
Citations

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

Fields of papers citing papers by Kyu‐Hyeon Yeom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyu‐Hyeon Yeom. 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 Kyu‐Hyeon Yeom. The network helps show where Kyu‐Hyeon Yeom may publish in the future.

Co-authorship network of co-authors of Kyu‐Hyeon Yeom

This figure shows the co-authorship network connecting the top 25 collaborators of Kyu‐Hyeon Yeom. A scholar is included among the top collaborators of Kyu‐Hyeon Yeom based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kyu‐Hyeon Yeom. Kyu‐Hyeon Yeom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 17
2 13
3 4
4 32
5 27
6 5
7 11
8 79
9 64
10
TUT4 in Concert with Lin28 Suppresses MicroRNA Biogenesis through Pre-MicroRNA Uridylationbreakdown →
646
11 335
12 25
13 92
14 200

About Kyu‐Hyeon Yeom

Kyu‐Hyeon Yeom is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (13 papers), MicroRNA in disease regulation (7 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (969 citations), Aging (36 citations) and Molecular Biology (1.4k citations). Kyu‐Hyeon Yeom has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Jinju Han, V. Narry Kim, Young Kook Kim, Inha Heo, Chirlmin Joo, Minju Ha, Mi-Jeong Yoon, Jun Cho, Yoontae Lee and Jakob Skou Pedersen. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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