Young-Wook Won

571 citations
15 papers · 493 · h-index 12

Impact in

Papers in

    • RNA Interference and Gene Delivery 8
    • Advanced biosensing and bioanalysis techniques 3
    • Heat shock proteins research 2
    • Heme Oxygenase-1 and Carbon Monoxide 2
    • Virus-based gene therapy research 4

Young-Wook Won

15 papers receiving 486 citations

Peers

Young-Wook Won
Comparison fields: 5 of 76
  • Biomaterials 152
  • Molecular Medicine 32
  • Genetics 63
  • Pharmaceutical Science 28
  • Molecular Biology 254
Replace Hyung‐Suk Jang with:
Hyung‐Suk Jang South Korea
Jun-ichiro Jo Japan
Shuaiqiang Zhang China
Ziba Veisi Malekshahi Iran
Reinier Bron Netherlands
Bingbing Xu China
Laurent Grossin France
Yoshie Arai South Korea
Xiuli Wang China
Ali Fotouhi Iran
Young-Wook Won relative to Hyung‐Suk Jang South Korea Hyung‐Suk Jang's profile →
Citations per field
00.5×1.5×1.8×
Hyung‐Suk Jang · 1×
Citations per year

Countries citing papers authored by Young-Wook Won

Since Specialization
Citations

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

Fields of papers citing papers by Young-Wook Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2014141
2 201163
3 201252
4 201136
5 201332
6 201129
7 201028
8 201425
9 201024
10 201219
11 201314
12 201214
13 20199
14 20135
15 20152

About Young-Wook Won

Young-Wook Won is a scholar working on Molecular Biology, Genetics, Biomaterials, Surgery and Epidemiology, having authored 15 papers that have together received 493 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), Virus-based gene therapy research (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Heat shock proteins research (2 papers), Trace Elements in Health (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Biomaterials (152 citations), Molecular Medicine (32 citations), Genetics (63 citations), Pharmaceutical Science (28 citations) and Molecular Biology (254 citations). Young-Wook Won has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include David A. Bull, Amit N. Patel, Yong‐Hee Kim, Sung Wan Kim, Minhyung Lee, Kwang Suk Lim, Kyung‐Mi Lee, Chung Hee Sonn, Jang Kyoung Kim and Hyun‐Ah Kim. Their work appears in journals such as Journal of Controlled Release, Biomaterials, Molecular Pharmaceutics, Nuclear Medicine and Biology and ACS Nano.

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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