Jun Yong Kim
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
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- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
Papers in
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- Extracellular vesicles in disease 11
- Circular RNAs in diseases 2
- Heat shock proteins research 1
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- MicroRNA in disease regulation 6
- Co-authors
- Won‐Kyu Rhim (13 shared papers)Dong Keun Han (14 shared papers)Chun Gwon Park (10 shared papers)Kyoung‐Won Ko (3 shared papers)Da‐Seul Kim (5 shared papers)Yun Heo (1 shared paper)Won Ki Lee (2 shared papers)Tae Gyun Kwon (3 shared papers)
- Journals
- International Journal of Molecular Sciences (2 papers)Biomaterials Research (2 papers)ACS Nano (2 papers)Journal of Tissue Engineering (2 papers)Nano Convergence (2 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Jun Yong Kim
21 papers receiving 591 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 153
- Molecular Biology 385
- Genetics 53
- Ophthalmology 43
- Rehabilitation 23
Countries citing papers authored by Jun Yong Kim
This map shows the geographic impact of Jun Yong Kim'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 Yong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yong Kim more than expected).
Fields of papers citing papers by Jun Yong Kim
This network shows the impact of papers produced by Jun Yong Kim. 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 Yong Kim. The network helps show where Jun Yong Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yong Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 100 | |
| 2 | 2021 | 92 | |
| 3 | 2021 | 71 | |
| 4 | 2020 | 58 | |
| 5 | 2023 | 42 | |
| 6 | 2022 | 38 | |
| 7 | 2023 | 38 | |
| 8 | 2021 | 32 | |
| 9 | 2016 | 27 | |
| 10 | 2018 | 17 | |
| 11 | 2022 | 14 | |
| 12 | 2024 | 14 | |
| 13 | 2024 | 10 | |
| 14 | 2024 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2020 | 3 |
About Jun Yong Kim
Jun Yong Kim is a scholar working on Molecular Biology, Cancer Research, Surgery, Ophthalmology and Rheumatology, having authored 24 papers that have together received 597 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (11 papers), MicroRNA in disease regulation (6 papers), Tissue Engineering and Regenerative Medicine (3 papers), Advancements in Solid Oxide Fuel Cells (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Retinal Diseases and Treatments (2 papers), Circular RNAs in diseases (2 papers) and Heat shock proteins research (1 paper). The work is most often cited by research in Cancer Research (153 citations), Molecular Biology (385 citations), Genetics (53 citations), Ophthalmology (43 citations) and Rehabilitation (23 citations). Jun Yong Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Won‐Kyu Rhim, Dong Keun Han, Chun Gwon Park, Kyoung‐Won Ko, Da‐Seul Kim, Yun Heo, Won Ki Lee, Tae Gyun Kwon, Eun Hye Lee and So‐Yeon Park. Their work appears in journals such as International Journal of Molecular Sciences, Biomaterials Research, ACS Nano, Journal of Tissue Engineering and Nano Convergence.
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.