Hyun-Ik Jun
Impact in
- Aging top 10%
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- RNA regulation and disease
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- DNA Repair Mechanisms
Papers in
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- RNA regulation and disease 4
- RNA and protein synthesis mechanisms 3
- Muscle Physiology and Disorders 2
- CRISPR and Genetic Engineering 2
- RNA Research and Splicing 2
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- Telomeres, Telomerase, and Senescence 4
- Co-authors
- Xinshu Xiao (4 shared papers)Jae Hoon Bahn (4 shared papers)G Yeo (2 shared papers)Stephen Tran (2 shared papers)Eric L. Van Nostrand (2 shared papers)Jin‐Kwang Kim (4 shared papers)Giovanni Quinones-Valdez (2 shared papers)Feng Qiao (4 shared papers)
- Journals
- Cell Reports (2 papers)Journal of Loss Prevention in the Process Industries (1 paper)Nature Neuroscience (1 paper)Genome biology (1 paper)Journal of Toxicology and Environmental Health (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Hyun-Ik Jun
11 papers receiving 367 citations
Peers
Comparison fields: 5 of 42
- Aging 20
- Molecular Biology 326
- Cancer Research 38
- Physiology 51
- Genetics 54
Countries citing papers authored by Hyun-Ik Jun
This map shows the geographic impact of Hyun-Ik Jun'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 Hyun-Ik Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyun-Ik Jun more than expected).
Fields of papers citing papers by Hyun-Ik Jun
This network shows the impact of papers produced by Hyun-Ik Jun. 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 Hyun-Ik Jun. The network helps show where Hyun-Ik Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Hyun-Ik Jun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 141 | |
| 2 | 2019 | 104 | |
| 3 | 2013 | 31 | |
| 4 | 2020 | 29 | |
| 5 | 2016 | 15 | |
| 6 | 2020 | 14 | |
| 7 | 2015 | 13 | |
| 8 | 2023 | 13 | |
| 9 | 2009 | 7 | |
| 10 | Increasing Effects of Apoptosis When Co-treated Scutellaria barbata D. Don. with Anti-cancer Drugs | 2009 | 1 |
| 11 | 2009 | 1 |
About Hyun-Ik Jun
Hyun-Ik Jun is a scholar working on Molecular Biology, Physiology, Aging, Pharmacology and Mechanics of Materials, having authored 11 papers that have together received 369 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (4 papers), RNA regulation and disease (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), RNA and protein synthesis mechanisms (3 papers), Muscle Physiology and Disorders (2 papers), CRISPR and Genetic Engineering (2 papers), RNA Research and Splicing (2 papers) and Food Quality and Safety Studies (1 paper). The work is most often cited by research in Aging (20 citations), Molecular Biology (326 citations), Cancer Research (38 citations), Physiology (51 citations) and Genetics (54 citations). Hyun-Ik Jun has collaborated with scholars based in United States and South Korea. Frequent co-authors include Xinshu Xiao, Jae Hoon Bahn, G Yeo, Stephen Tran, Eric L. Van Nostrand, Jin‐Kwang Kim, Giovanni Quinones-Valdez, Feng Qiao, Jinqiang Liu and Chang‐Hoon Lee. Their work appears in journals such as Cell Reports, Journal of Loss Prevention in the Process Industries, Nature Neuroscience, Genome biology and Journal of Toxicology and Environmental Health.
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.