Chee-Youb Won

1.4k citations
17 papers · 1.1k indexed · h-index 14

Chee-Youb Won

17 papers receiving 1.1k citations

Peers

Chee-Youb Won
Comparison fields: 5 of 104
  • Molecular Medicine 231
  • Biomaterials 586
  • Pharmaceutical Science 127
  • Surfaces, Coatings and Films 91
  • Polymers and Plastics 151
Replace Wei Yang Seow with:
Wei Yang Seow Singapore
W. N. E. van Dijk-Wolthuis Netherlands
Stephanie T. Lopina United States
Tiancheng Lu China
Cui‐Yun Yu China
Florian T. Unger Germany
Yinglei Zhai China
Kwang Su Seo South Korea
János Borbély Hungary
QingFa Guo China
Chee-Youb Won relative to Wei Yang Seow Singapore Wei Yang Seow's profile →
Citations per field
00.5×1.5×2.3×
Wei Yang Seow · 1×
Citations per year

Countries citing papers authored by Chee-Youb Won

Since Specialization
Citations

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

Fields of papers citing papers by Chee-Youb Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Chee-Youb 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 Chee-Youb Won Line = papers co-authored together Chee-Youb Won links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2009273
2 200648
3 2005153
4 20045
5 200052
6 199996
7 19992
8 199923
9 199963
10 199944
11 1999161
12 199980
13 199832
14 199829
15 199832
16 199811
17 199721

About Chee-Youb Won

Chee-Youb Won is a scholar working on Molecular Medicine, Biomaterials, Process Chemistry and Technology, Bioengineering and Polymers and Plastics, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include biodegradable polymer synthesis and properties (8 papers), Hydrogels: synthesis, properties, applications (4 papers), Advanced Polymer Synthesis and Characterization (3 papers), Synthesis and properties of polymers (2 papers), Biopolymer Synthesis and Applications (2 papers), Carbon dioxide utilization in catalysis (2 papers), Analytical Chemistry and Sensors (2 papers) and Analytical Methods in Pharmaceuticals (2 papers). The work is most often cited by research in Molecular Medicine (231 citations), Biomaterials (586 citations), Pharmaceutical Science (127 citations), Surfaces, Coatings and Films (91 citations) and Polymers and Plastics (151 citations). Chee-Youb Won has collaborated with scholars based in United States, Switzerland and Taiwan. Frequent co-authors include Pascal Bailon, Chih‐Chang Chu, C. C. Chu, M. Laird Forrest, Glen S. Kwon, A. Waseem Malick, Ramaz Katsarava, Darejan Kharadze, Yeli Zhang and Anni Zhao. Their work appears in journals such as Journal of Polymer Science Part A Polymer Chemistry, Carbohydrate Polymers, Journal of Applied Polymer Science, Journal of Controlled Release and Polymer Bulletin.

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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