Keun Woo Lee

5.3k citations
200 papers · 4.3k indexed · h-index 35
Topics
Computational Drug Discovery Methods (62 papers)Synthesis and biological activity (23 papers)Chemical Synthesis and Analysis (13 papers)

In The Last Decade

Keun Woo Lee

199 papers receiving 4.2k citations

Peers

Keun Woo Lee
Comparison fields: 5 of 142
  • Molecular Biology 2.4k
  • Computational Theory and Mathematics 1.1k
  • Organic Chemistry 753
  • Plant Science 464
  • Pharmacology 420
Replace Diogo Santos‐Martins with:
Diogo Santos‐Martins United States
Meng Cui United States
Xu Shen China
Rituraj Purohit India
Jérôme Eberhardt United States
V. Joachim Haupt Germany
Rajendra Kumar Sweden
Sheng Tian China
Melissa F. Adasme Germany
Michael A. Walters United States
Keun Woo Lee relative to Diogo Santos‐Martins United States Diogo Santos‐Martins's profile →
Citations per field
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Citations per year

Countries citing papers authored by Keun Woo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Keun Woo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keun Woo Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Keun Woo Lee. A scholar is included among the top collaborators of Keun Woo Lee 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 Keun Woo Lee. Keun Woo Lee 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
#WorkIndexed citations
1 1
2 1
3 8
4 2
5 2
6 6
7 35
8 20
9 11
10 42
11 17
12 15
13 37
14 29
15 11
16 19
17 4
18 39
19 29
20
Rapid detection of Brachyspira hyodysenteriae in swine intestinal specimens by PCR
0

About Keun Woo Lee

Keun Woo Lee is a scholar working on Computational Theory and Mathematics, Toxicology and Molecular Biology, having authored 200 papers that have together received 4.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (62 papers), Synthesis and biological activity (23 papers) and Chemical Synthesis and Analysis (13 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Molecular Biology (2.4k citations) and Pharmacology (301 citations). Keun Woo Lee has collaborated with scholars based in South Korea, India and United States. Frequent co-authors include Sugunadevi Sakkiah, Sundarapandian Thangapandian, Shalini John, Shailima Rampogu, Minky Son, Vikas Kumar, Amir Zeb, Mahreen Arooj, Chanin Park and Ayoung Baek. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Applied Physics Letters.

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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