Keesung Kim

1.3k citations
35 papers · 1.1k · h-index 16

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 4
    • Enzyme Catalysis and Immobilization 3
    • Microfluidic and Capillary Electrophoresis Applications 5
    • Biosensors and Analytical Detection 3

Keesung Kim

34 papers receiving 1.0k citations

Peers

Keesung Kim
Comparison fields: 5 of 125
  • Microbiology 130
  • Biomaterials 197
  • Biomedical Engineering 479
  • Surfaces, Coatings and Films 65
  • Cell Biology 123
Replace Woo‐Jae Chung with:
Woo‐Jae Chung South Korea
Robert Selegård Sweden
И. И. Агапов Russia
Antonio Galeone Italy
Ting Nie China
Claire Monge France
Dmitry Bagrov Russia
Herdeline Ann M. Ardoña United States
Mikhail M. Moisenovich Russia
Keesung Kim relative to Woo‐Jae Chung South Korea Woo‐Jae Chung's profile →
Citations per field
00.5×2.6×
Woo‐Jae Chung · 1×
Citations per year

Countries citing papers authored by Keesung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Keesung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010266
2 2008107
3 201099
4 201470
5 201257
6 201451
7 201250
8 202349
9 201838
10 201738
11 201029
12 201423
13 201022
14 201822
15 201621
16 200915
17 201514
18 200712
19 201512
20 201811

About Keesung Kim

Keesung Kim is a scholar working on Molecular Biology, Biomedical Engineering, Microbiology, Organic Chemistry and Biomaterials, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (5 papers), Polydiacetylene-based materials and applications (5 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Lipid Membrane Structure and Behavior (4 papers), Mesenchymal stem cell research (3 papers), Supramolecular Self-Assembly in Materials (3 papers), Enzyme Catalysis and Immobilization (3 papers) and Biosensors and Analytical Detection (3 papers). The work is most often cited by research in Microbiology (130 citations), Biomaterials (197 citations), Biomedical Engineering (479 citations), Surfaces, Coatings and Films (65 citations) and Cell Biology (123 citations). Keesung Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Ho‐Sup Jung, Kye-Seong Kim, Hong Nam Kim, Kahp Y. Suh, Man Ryul Lee, Keon Woo Kwon, Kahp-Yang Suh, Jinsang Kim, Do Hyun Kang and Pahn‐Shick Chang. Their work appears in journals such as Electrophoresis, ACS Applied Materials & Interfaces, Biosystems Engineering, International Journal of Precision Engineering and Manufacturing-Green Technology and Langmuir.

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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