Young‐Wook Won

430 total citations
11 papers, 369 citations indexed

About

Young‐Wook Won is a scholar working on Molecular Biology, Biomaterials and Genetics. According to data from OpenAlex, Young‐Wook Won has authored 11 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Biomaterials and 3 papers in Genetics. Recurrent topics in Young‐Wook Won's work include RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Virus-based gene therapy research (3 papers). Young‐Wook Won is often cited by papers focused on RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Virus-based gene therapy research (3 papers). Young‐Wook Won collaborates with scholars based in United States, South Korea and Netherlands. Young‐Wook Won's co-authors include Yong‐Hee Kim, Kwang Suk Lim, Minhyung Lee, Hyun Ah Kim, David A. Bull, Daniel Y. Lee, Hyesun Hyun, Jiyoung Lee, Sung Wan Kim and Johan F. J. Engbersen and has published in prestigious journals such as Biomaterials, Advanced Functional Materials and Biochemical and Biophysical Research Communications.

In The Last Decade

Young‐Wook Won

11 papers receiving 363 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Young‐Wook Won United States 8 275 100 78 60 34 11 369
Carlo Yuvienco United States 9 265 1.0× 133 1.3× 85 1.1× 65 1.1× 24 0.7× 10 404
Jostein Malmo Norway 7 230 0.8× 131 1.3× 42 0.5× 57 0.9× 36 1.1× 10 365
Neelesh Soman United States 9 236 0.9× 79 0.8× 79 1.0× 69 1.1× 57 1.7× 12 570
Julia Kloeckner Germany 6 326 1.2× 72 0.7× 154 2.0× 62 1.0× 14 0.4× 7 402
Fatma Alshehri Saudi Arabia 10 302 1.1× 77 0.8× 124 1.6× 57 0.9× 16 0.5× 23 415
Yoonhee Bae South Korea 14 278 1.0× 84 0.8× 73 0.9× 68 1.1× 14 0.4× 20 362
Ming-Cheng Wei Taiwan 5 254 0.9× 123 1.2× 46 0.6× 73 1.2× 30 0.9× 6 382
Nathaly Segovia Spain 5 305 1.1× 156 1.6× 41 0.5× 143 2.4× 46 1.4× 6 500
Mohamed Mashal Spain 13 392 1.4× 87 0.9× 105 1.3× 58 1.0× 35 1.0× 21 564
María Martínez‐Negro Spain 14 234 0.9× 127 1.3× 26 0.3× 78 1.3× 20 0.6× 21 370

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-authorship network of co-authors of Young‐Wook Won

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Wook Won. A scholar is included among the top collaborators of Young‐Wook Won based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Young‐Wook Won. Young‐Wook Won is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Lee, Daniel Y., et al.. (2018). One‐Step Method for Instant Generation of Advanced Allogeneic NK Cells. Advanced Science. 5(11). 1800447–1800447. 16 indexed citations
2.
Lim, Kwang Suk, et al.. (2017). Direct Incorporation of Functional Peptides into M-DNA through Ligand-to-Metal Charge Transfer. ACS Macro Letters. 6(2). 98–102. 4 indexed citations
3.
Lim, Kwang Suk, et al.. (2016). Cell surface-engineering to embed targeting ligands or tracking agents on the cell membrane. Biochemical and Biophysical Research Communications. 482(4). 1042–1047. 14 indexed citations
4.
Lim, Kwang Suk, et al.. (2015). Nano‐Self‐Assembly of Nucleic Acids Capable of Transfection without a Gene Carrier. Advanced Functional Materials. 25(34). 5445–5451. 47 indexed citations
5.
Won, Young‐Wook, Marc J. K. Ankoné, Johan F. J. Engbersen, Jan Feijén, & Sung Wan Kim. (2015). Poly(Amido Amine)s Containing Agmatine and Butanol Side Chains as Efficient Gene Carriers. Macromolecular Bioscience. 16(4). 619–626. 10 indexed citations
6.
Won, Young‐Wook, et al.. (2014). Cell surface engineering to enhance mesenchymal stem cell migration towards SDF-1 for ischemic tissue. Cytotherapy. 16(4). S80–S80. 3 indexed citations
7.
Won, Young‐Wook, Kwang Suk Lim, & Yong‐Hee Kim. (2011). Intracellular organelle-targeted non-viral gene delivery systems. Journal of Controlled Release. 152(1). 99–109. 60 indexed citations
8.
Won, Young‐Wook, et al.. (2011). Suicidal gene therapy against tumor using reducible poly (oligo-d-arginine). Journal of Controlled Release. 152. e148–e149. 4 indexed citations
10.
Won, Young‐Wook, Hyun Ah Kim, Minhyung Lee, & Yong‐Hee Kim. (2009). Reducible Poly(oligo-D-arginine) for Enhanced Gene Expression in Mouse Lung by Intratracheal Injection. Molecular Therapy. 18(4). 734–742. 88 indexed citations
11.
Won, Young‐Wook & Yong‐Hee Kim. (2008). Recombinant human gelatin nanoparticles as a protein drug carrier. Journal of Controlled Release. 127(2). 154–161. 71 indexed citations

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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