Young‐Wook Won

430 citations
11 papers · 369 · h-index 8

Impact in

  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • DNA and Nucleic Acid Chemistry

Papers in

    • RNA Interference and Gene Delivery 7
    • Advanced biosensing and bioanalysis techniques 5
    • ATP Synthase and ATPases Research 1
    • Nanoparticle-Based Drug Delivery 2
    • Supramolecular Self-Assembly in Materials 1

Young‐Wook Won

11 papers receiving 363 citations

Peers

Young‐Wook Won
Comparison fields: 5 of 68
  • Biomaterials 100
  • Molecular Biology 275
  • Pharmaceutical Science 24
  • Genetics 78
  • Molecular Medicine 8
Replace Hwang-Tae Lim with:
Hwang-Tae Lim South Korea
Yoonhee Bae South Korea
Caleb Neufeld United States
Yosuke Obata Japan
Tiziana Musacchio United States
Saniya Alwani Canada
Carlo Yuvienco United States
María Martínez‐Negro Spain
Jaydev R. Upponi United States
Ana V. Oliveira Portugal
Young‐Wook Won relative to Hwang-Tae Lim South Korea Hwang-Tae Lim's profile →
Citations per field
00.5×2.8×
Hwang-Tae Lim · 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 15 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

11 of 11 papers shown
#Work
1 200988
2 200871
3 201160
4 201052
5 201547
6 201816
7 201614
8 201510
9 20114
10 20174
11 20143

About Young‐Wook Won

Young‐Wook Won is a scholar working on Molecular Biology, Biomaterials, Genetics, Surgery and Genetics, having authored 11 papers that have together received 369 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (5 papers), Virus-based gene therapy research (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Mesenchymal stem cell research (1 paper), ATP Synthase and ATPases Research (1 paper), Supramolecular Self-Assembly in Materials (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Biomaterials (100 citations), Molecular Biology (275 citations), Pharmaceutical Science (24 citations), Genetics (78 citations) and Molecular Medicine (8 citations). Young‐Wook Won has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Yong‐Hee Kim, Kwang Suk Lim, Minhyung Lee, Hyun Ah Kim, Daniel Y. Lee, David A. Bull, Hyesun Hyun, Jiyoung Lee, Jan Feijén and Marc J. K. Ankoné. Their work appears in journals such as Journal of Controlled Release, Biomaterials, Molecular Therapy, Macromolecular Bioscience and Advanced Science.

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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