Chae‐Ok Yun

11.7k citations
256 papers · 9.6k indexed · 1 hit paper · h-index 54

Impact in

  • Genetics top 0.2%
    • Virus-based gene therapy research
  • Biotechnology top 0.2%
    • Cancer Research and Treatments

Papers in

Chae‐Ok Yun

255 papers receiving 9.5k citations

Hit Papers

Predominant role of endothelial nitric oxide synthase in vascular endothelial growth factor-induced angiogenesis and vascular permeability 2001 · 822 citations
8222001202620092017250500750

Peers

Chae‐Ok Yun
Comparison fields: 5 of 146
  • Genetics 3.6k
  • Biotechnology 1.0k
  • Oncology 2.9k
  • Molecular Biology 5.4k
  • Biomaterials 809
Replace Hiroyuki Mizuguchi with:
Hiroyuki Mizuguchi Japan
Steven F. Dowdy United States
G. Yancey Gillespie United States
Taina Pihlajaniemi Finland
Khalid Shah United States
Makiya Nishikawa Japan
Yoshinobu Takakura Japan
Rajagopal Ramesh United States
Weidong Han China
Jer‐Tsong Hsieh United States
Chae‐Ok Yun relative to Hiroyuki Mizuguchi Japan Hiroyuki Mizuguchi's profile →
Citations per field
00.5×2.6×
Hiroyuki Mizuguchi · 1×
Citations per year

Countries citing papers authored by Chae‐Ok Yun

Since Specialization
Citations

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

Fields of papers citing papers by Chae‐Ok Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chae‐Ok Yun. 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 Chae‐Ok Yun. The network helps show where Chae‐Ok Yun may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20224
3 202241
4 202118
5 20208
6 20208
7 201981
8 201913
9 20196
10 201945
11 20177
12 201639
13 201691
14 201519
15 201352
16 201130
17 201042
18 200925
19 200783
20 2007118

About Chae‐Ok Yun

Chae‐Ok Yun is a scholar working on Biotechnology, Genetics, Oncology, Molecular Biology and Dermatology, having authored 256 papers that have together received 9.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (130 papers), RNA Interference and Gene Delivery (72 papers), CAR-T cell therapy research (65 papers), Cancer Research and Treatments (47 papers), Viral Infectious Diseases and Gene Expression in Insects (36 papers), Dermatologic Treatments and Research (18 papers), Immunotherapy and Immune Responses (14 papers) and Pregnancy-related medical research (13 papers). The work is most often cited by research in Genetics (3.6k citations), Biotechnology (1.0k citations), Oncology (2.9k citations), Molecular Biology (5.4k citations) and Biomaterials (809 citations). Chae‐Ok Yun has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include JinWoo Hong, A‐Rum Yoon, Sung Wan Kim, Joo-Hang Kim, Dai Fukumura, Rakesh K. Jain, Takeshi Gohongi, Eonju Oh, Ananth Kadambi and Ji Young Yoo. Their work appears in journals such as Journal of Controlled Release, Biomaterials, Gene Therapy, Molecular Therapy and Scientific Reports.

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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