Sukwon Kang

47 papers receiving 393 citations

Peers

Sukwon Kang
Comparison fields: 5 of 79
  • Analytical Chemistry 279
  • Biophysics 78
  • Biochemistry 30
  • Industrial and Manufacturing Engineering 43
  • Biotechnology 40
Replace Sai Xu with:
Sai Xu China
Y. Kawagoe Japan
Seyed Ahmad Mireei Iran
Irina Torres Spain
Yong Yin China
József Felföldi Hungary
Emanuel José Nascimento Marques Brazil
Ron P. Haff United States
Collins Wakholi South Korea
Xiulin Bai China
Sukwon Kang relative to Sai Xu China Sai Xu's profile →
Citations per field
00.5×10×17×
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Citations per year

Countries citing papers authored by Sukwon Kang

Since Specialization
Citations

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

Fields of papers citing papers by Sukwon Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sukwon Kang. 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 Sukwon Kang. The network helps show where Sukwon Kang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201443
2 200839
3 201238
4 201132
5 200829
6 200625
7 201115
8 200515
9 200813
10 201013
11 201413
12 201311
13 201410
14
Detection of Multi-class Pesticide Residues Using Surface Plasmon Resonance Based on Polyclonal Antibody
20088
15 20118
16 20108
17 19997
18 20137
19 20127
20 20127

About Sukwon Kang

Sukwon Kang is a scholar working on Analytical Chemistry, Food Science, Biotechnology, Biophysics and Biomedical Engineering, having authored 51 papers that have together received 421 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (28 papers), Listeria monocytogenes in Food Safety (8 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Advanced Chemical Sensor Technologies (8 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Meat and Animal Product Quality (4 papers), Water Quality Monitoring and Analysis (4 papers) and Phytochemicals and Antioxidant Activities (3 papers). The work is most often cited by research in Analytical Chemistry (279 citations), Biophysics (78 citations), Biochemistry (30 citations), Industrial and Manufacturing Engineering (43 citations) and Biotechnology (40 citations). Sukwon Kang has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Kangjin Lee, Moon S. Kim, Byoung–Kwan Cho, Jongguk Lim, Changyeun Mo, Alan M. Lefcourt, Yud-Ren Chen, Hoeil Chung, Diane E. Chan and Kuanglin Chao. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Strategic Organization, Journal of Food Engineering, The Analyst and Biosystems Engineering.

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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