Jun-Won Yun

1.9k citations
81 papers · 1.4k · h-index 21

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
    • Drug-Induced Hepatotoxicity and Protection

Papers in

    • Bioactive Natural Diterpenoids Research 5
    • Connexins and lens biology 5
    • Drug-Induced Hepatotoxicity and Protection 10
    • Pharmacogenetics and Drug Metabolism 5

Jun-Won Yun

80 papers receiving 1.4k citations

Peers

Jun-Won Yun
Comparison fields: 5 of 113
  • Genetics 148
  • Pharmacology 117
  • Pathology and Forensic Medicine 210
  • Biochemistry 59
  • Rehabilitation 45
Replace Yadollah Shakiba with:
Yadollah Shakiba Iran
Xiyu Zhang China
Sun‐Joo Lee South Korea
Roberta Maggio Italy
Kyoung Soo Kim South Korea
Ziling Wang China
Hyoung-Chin Kim South Korea
Vikash Vikash China
Youwei Chen China
Jun-Won Yun relative to Yadollah Shakiba Iran Yadollah Shakiba's profile →
Citations per field
00.5×2.6×
Yadollah Shakiba · 1×
Citations per year

Countries citing papers authored by Jun-Won Yun

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Won Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Won 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 Jun-Won Yun. The network helps show where Jun-Won Yun may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013171
2 2014151
3 201952
4 201348
5 200948
6 201545
7 201444
8 200742
9 201641
10 201840
11 200237
12 200733
13 201531
14 201828
15 200828
16 201527
17 201625
18 202023
19 200123
20 201620

About Jun-Won Yun

Jun-Won Yun is a scholar working on Molecular Biology, Pharmacology, Cancer Research, Oncology and Epidemiology, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (10 papers), Carcinogens and Genotoxicity Assessment (7 papers), Bioactive Natural Diterpenoids Research (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), Connexins and lens biology (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Animal testing and alternatives (5 papers). The work is most often cited by research in Genetics (148 citations), Pharmacology (117 citations), Pathology and Forensic Medicine (210 citations), Biochemistry (59 citations) and Rehabilitation (45 citations). Jun-Won Yun has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Byeong-Cheol Kang, Jeong-Hwan Che, Kyung‐Sun Kang, Euna Kwon, Atrayee Banerjee, Mohamed A. Abdelmegeed, Byoung‐Joon Song, Xin Gen Lei, Sehwan Jang and Frank J. Gonzalez. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Free Radical Biology and Medicine, Pharmaceutics, Food and Chemical Toxicology and Bioscience Biotechnology and Biochemistry.

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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