Won Chul Lee

2.8k citations
103 papers · 2.0k · h-index 28

Impact in

Papers in

Won Chul Lee

92 papers receiving 1.9k citations

Peers

Won Chul Lee
Comparison fields: 5 of 145
  • Structural Biology 138
  • Surfaces, Coatings and Films 90
  • Oncology 260
  • Electronic, Optical and Magnetic Materials 192
  • Materials Chemistry 444
Replace Qian Zhong with:
Qian Zhong China
Gabriele Ciasca Italy
David M. Larson United States
Masahiro Satoh Japan
Raymond W. Sze United States
Hiroshi Kajiyama Japan
Jennifer L. Gray United States
Deng Pan China
Akira Tanaka Japan
Won Chul Lee relative to Qian Zhong China Qian Zhong's profile →
Citations per field
00.5×1.5×2.0×
Qian Zhong · 1×
Citations per year

Countries citing papers authored by Won Chul Lee

Since Specialization
Citations

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

Fields of papers citing papers by Won Chul Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Chul Lee. 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 Won Chul Lee. The network helps show where Won Chul Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012153
2 2021114
3 201993
4 199191
5 199385
6 199370
7 201567
8
Diagnostic yield of colorectal neoplasia with colonoscopy for abdominal pain, change in bowel habits, and rectal bleeding.
199363
9 199062
10 200560
11 199858
12 200455
13 200953
14 201745
15 201045
16 202244
17 201042
18 201240
19 201539
20 201935

About Won Chul Lee

Won Chul Lee is a scholar working on Biomedical Engineering, Materials Chemistry, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Structural Biology, having authored 103 papers that have together received 2.0k indexed citations. Recurring topics across this work include Graphene research and applications (10 papers), Advanced Electron Microscopy Techniques and Applications (8 papers), 2D Materials and Applications (7 papers), Advanced MEMS and NEMS Technologies (6 papers), Mechanical and Optical Resonators (6 papers), Biosensors and Analytical Detection (5 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Gold and Silver Nanoparticles Synthesis and Applications (5 papers). The work is most often cited by research in Structural Biology (138 citations), Surfaces, Coatings and Films (90 citations), Oncology (260 citations), Electronic, Optical and Magnetic Materials (192 citations) and Materials Chemistry (444 citations). Won Chul Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jungwon Park, Shoji Takeuchi, Gail Garbowski, Michael R. Treat, Alfred I. Neugut, Phillip L. Geissler, Haimei Zheng, A. Paul Alivisatos, Eran Rabani and Byung Hyo Kim. Their work appears in journals such as Advanced Science, Cancer, Advanced Materials, Journal of Microelectromechanical Systems and ACS Applied Materials & Interfaces.

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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