Je‐Hyun Yoon

6.3k citations
81 papers · 4.6k indexed · 3 hit papers · h-index 31
    • Cancer-related molecular mechanisms research 28
    • MicroRNA in disease regulation 15
    • RNA Research and Splicing 39
    • RNA modifications and cancer 33
    • RNA and protein synthesis mechanisms 8
    • RNA regulation and disease 8
    • Circular RNAs in diseases 5
  • Aging top 5%
  • Immunology top 10%
    • Immune Cell Function and Interaction 3

Je‐Hyun Yoon

77 papers receiving 4.6k citations

Hit Papers

Functional interactions among microRNAs and long noncodin...5432012202620162021250500750

Peers

Je‐Hyun Yoon
Comparison fields: 5 of 114
  • Cancer Research 3.1k
  • Molecular Biology 3.9k
  • Aging 45
  • Endocrinology 107
  • Immunology 261
Replace Xiaowei Wang with:
Xiaowei Wang China
Yingqun Huang United States
Phillip Grote Germany
Brooke Gardiner Australia
B. Nelson Chau United States
Xiaole Shirley Liu United States
Zhiyong Ding China
Andrew M. Thomson Australia
Jie Wang China
Ching‐Yi Chen United States
Je‐Hyun Yoon relative to Xiaowei Wang China Xiaowei Wang's profile →
Citations per field
00.5×12×
Xiaowei Wang · 1×
Citations per year

Countries citing papers authored by Je‐Hyun Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Je‐Hyun Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Je‐Hyun Yoon. 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 Je‐Hyun Yoon. The network helps show where Je‐Hyun Yoon may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20243
4 20231
5 202216
6 202013
7 201945
8 201735
9 201717
10 201611
11 201518
12 201559
13 201538
14 201418
15 2013160
16 201263
17
Posttranscriptional Gene Regulation by Long Noncoding RNAbreakdown →
2012504
18 201073
19 200721
20 20062

About Je‐Hyun Yoon

Je‐Hyun Yoon is a scholar working on Cancer Research, Molecular Biology and Immunology, having authored 81 papers that have together received 4.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (39 papers), RNA modifications and cancer (33 papers), Cancer-related molecular mechanisms research (28 papers), MicroRNA in disease regulation (15 papers), RNA and protein synthesis mechanisms (8 papers), RNA regulation and disease (8 papers), Circular RNAs in diseases (5 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Cancer Research (3.1k citations), Molecular Biology (3.9k citations) and Aging (45 citations). Je‐Hyun Yoon has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include Myriam Gorospe, Kotb Abdelmohsen, Jennifer L. Martindale, Xiaoling Yang, Subramanya Srikantan, Supriyo De, Kevin G. Becker, Roy Parker, Jiyoung Kim and Ming Zhan. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Cancer Research, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms and Molecular Cell.

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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