Ji Eun Won
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
- Dermatology top 5%
- Skin Protection and Aging
Papers in ⓘ
-
- Genomics, phytochemicals, and oxidative stress 8
- RNA Interference and Gene Delivery 4
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- Immunotherapy and Immune Responses 6
- Co-authors
- Jin Won Hyun (20 shared papers)Ki Cheon Kim (20 shared papers)Mei Jing Piao (18 shared papers)Jian Zheng (16 shared papers)Cheng Wen Yao (15 shared papers)Kyoung Ah Kang (11 shared papers)Hee Dong Han (14 shared papers)Tae Heung Kang (8 shared papers)
- Journals
- In Vitro Cellular & Developmental Biology - Animal (4 papers)Biomolecules & Therapeutics (4 papers)Cancer Research (3 papers)International Journal of Oncology (2 papers)Journal of Ginseng Research (2 papers)
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Ji Eun Won
37 papers receiving 921 citations
Peers
Comparison fields: 5 of 105
- Biochemistry 85
- Dermatology 88
- Biomaterials 128
- Aquatic Science 69
- Molecular Biology 494
Countries citing papers authored by Ji Eun Won
This map shows the geographic impact of Ji Eun Won'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 Ji Eun Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Eun Won more than expected).
Fields of papers citing papers by Ji Eun Won
This network shows the impact of papers produced by Ji Eun Won. 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 Ji Eun Won. The network helps show where Ji Eun Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Eun Won, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 106 | |
| 2 | 2014 | 101 | |
| 3 | 2018 | 59 | |
| 4 | 2020 | 53 | |
| 5 | 2014 | 47 | |
| 6 | 2013 | 47 | |
| 7 | 2021 | 40 | |
| 8 | 2013 | 35 | |
| 9 | 2014 | 35 | |
| 10 | 2014 | 34 | |
| 11 | 2013 | 34 | |
| 12 | 2014 | 27 | |
| 13 | 2022 | 22 | |
| 14 | 2015 | 22 | |
| 15 | 2020 | 19 | |
| 16 | 2013 | 19 | |
| 17 | 2013 | 19 | |
| 18 | 2014 | 18 | |
| 19 | 2015 | 18 | |
| 20 | 2014 | 15 |
About Ji Eun Won
Ji Eun Won is a scholar working on Molecular Biology, Immunology, Dermatology, Biochemistry and Oncology, having authored 37 papers that have together received 932 indexed citations. Recurring topics across this work include Skin Protection and Aging (8 papers), Genomics, phytochemicals, and oxidative stress (8 papers), Immunotherapy and Immune Responses (6 papers), Nanoparticle-Based Drug Delivery (5 papers), Phytochemicals and Antioxidant Activities (5 papers), Nanoplatforms for cancer theranostics (4 papers), RNA Interference and Gene Delivery (4 papers) and Seaweed-derived Bioactive Compounds (4 papers). The work is most often cited by research in Biochemistry (85 citations), Dermatology (88 citations), Biomaterials (128 citations), Aquatic Science (69 citations) and Molecular Biology (494 citations). Ji Eun Won has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Jin Won Hyun, Ki Cheon Kim, Mei Jing Piao, Jian Zheng, Cheng Wen Yao, Kyoung Ah Kang, Hee Dong Han, Tae Heung Kang, Chang Lim Hyun and Jeong‐Won Lee. Their work appears in journals such as In Vitro Cellular & Developmental Biology - Animal, Biomolecules & Therapeutics, Cancer Research, International Journal of Oncology and Journal of Ginseng Research.
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.