Ji Eun Won

1.1k citations
37 papers · 932 indexed · h-index 19

Impact in

Papers in

    • Genomics, phytochemicals, and oxidative stress 8
    • RNA Interference and Gene Delivery 4
    • Immunotherapy and Immune Responses 6

Ji Eun Won

37 papers receiving 921 citations

Peers

Ji Eun Won
Comparison fields: 5 of 105
  • Biochemistry 85
  • Dermatology 88
  • Biomaterials 128
  • Aquatic Science 69
  • Molecular Biology 494
Replace Gaurav Kumar with:
Gaurav Kumar India
Su Jung Hwang South Korea
Phil‐Sun Oh South Korea
Lu Gan China
Ming‐Wei Lin Taiwan
Eun‐Kyung Ahn South Korea
Soraya Sajadimajd Iran
Juewon Kim South Korea
Lourdes Gombau Spain
Ji Eun Won relative to Gaurav Kumar India Gaurav Kumar's profile →
Citations per field
00.5×1.5×
Gaurav Kumar · 1×
Citations per year

Countries citing papers authored by Ji Eun Won

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ji Eun Won Line = papers co-authored together Ji Eun Won links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018106
2 2014101
3 201859
4 202053
5 201447
6 201347
7 202140
8 201335
9 201435
10 201434
11 201334
12 201427
13 202222
14 201522
15 202019
16 201319
17 201319
18 201418
19 201518
20 201415

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.

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