Keesung Kim

1.3k total citations
35 papers, 1.1k citations indexed

About

Keesung Kim is a scholar working on Molecular Biology, Biomedical Engineering and Microbiology. According to data from OpenAlex, Keesung Kim has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Biomedical Engineering and 6 papers in Microbiology. Recurrent topics in Keesung Kim's work include Antimicrobial Peptides and Activities (5 papers), Polydiacetylene-based materials and applications (5 papers) and Microfluidic and Capillary Electrophoresis Applications (5 papers). Keesung Kim is often cited by papers focused on Antimicrobial Peptides and Activities (5 papers), Polydiacetylene-based materials and applications (5 papers) and Microfluidic and Capillary Electrophoresis Applications (5 papers). Keesung Kim collaborates with scholars based in South Korea, United States and Japan. Keesung Kim's co-authors include Ho‐Sup Jung, Kye-Seong Kim, Keon Woo Kwon, Kahp Y. Suh, Man Ryul Lee, Hong Nam Kim, Kahp-Yang Suh, Do Hyun Kang, Jinsang Kim and Pahn‐Shick Chang and has published in prestigious journals such as Biomaterials, Langmuir and Chemical Communications.

In The Last Decade

Keesung Kim

34 papers receiving 1.0k citations

Peers

Keesung Kim
Comparison fields: 5 of 125
  • Biomedical Engineering 479
  • Molecular Biology 247
  • Biomaterials 197
  • Organic Chemistry 183
  • Microbiology 130
Replace Woo‐Jae Chung with:
Woo‐Jae Chung South Korea
Ting Nie China
И. И. Агапов Russia
Paul De Bank United Kingdom
Claire Monge France
Man Wu China
Byeong Hee Hwang South Korea
Christopher Lindsay United Kingdom
Jasjeet Kaur India
Linda C. Lopez Italy
Woo‐Jae Chung South Korea View profile →
Citations per field, relative to Keesung Kim
Keesung Kim · 1×
Citations per year, relative to Keesung Kim
Keesung Kim · 1×

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-authorship network of co-authors of Keesung Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Keesung Kim. A scholar is included among the top collaborators of Keesung Kim 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 Keesung Kim. Keesung Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 49
2 8
3 3
4 38
5 22
6 11
7 4
8 14
9 23
10 3
11
A Hashtag Classification Method for Improving Hashtag Recommendation in Twitter Trending Topic
1
12 50
13 5
14 22
15 99
16 29
17 4
18 8
19 12
20
Optimization of Growth Environment in the Enclosed Plant Production System Using Photosynthesis Efficiency Model.
1

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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