Won-Cheol Kim
Impact in
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis
- Toxicology top 10%
Papers in
-
- Plant biochemistry and biosynthesis 3
- Genomics and Phylogenetic Studies 3
- Pharmacology 11
- Microbial Natural Products and Biosynthesis 11
- Co-authors
- Lauren B. Pickens (3 shared papers)Peng Wang (3 shared papers)Yi Tang (3 shared papers)Young‐Soo Hong (6 shared papers)Jung Joon Lee (5 shared papers)Dongho Lee (5 shared papers)Jay D. Keasling (2 shared papers)Leonard Katz (2 shared papers)
- Journals
- ChemBioChem (3 papers)Journal of the American Chemical Society (2 papers)Organic & Biomolecular Chemistry (1 paper)iScience (1 paper)Scientific Reports (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Won-Cheol Kim
24 papers receiving 494 citations
Peers
Comparison fields: 5 of 84
- Pharmacology 252
- Toxicology 29
- Biotechnology 66
- Molecular Biology 346
- Organic Chemistry 60
Countries citing papers authored by Won-Cheol Kim
This map shows the geographic impact of Won-Cheol 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 Won-Cheol Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won-Cheol Kim more than expected).
Fields of papers citing papers by Won-Cheol Kim
This network shows the impact of papers produced by Won-Cheol 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 Won-Cheol Kim. The network helps show where Won-Cheol Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Won-Cheol Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 75 | |
| 2 | 2004 | 57 | |
| 3 | 2014 | 50 | |
| 4 | 2012 | 46 | |
| 5 | 2009 | 38 | |
| 6 | 2007 | 35 | |
| 7 | 2012 | 35 | |
| 8 | Characterization of tailoring genes involved in the modification of geldanamycin polyketide in Streptomyces hygroscopicus JCM4427. | 2008 | 30 |
| 9 | 2007 | 29 | |
| 10 | 2006 | 25 | |
| 11 | 1990 | 17 | |
| 12 | 2010 | 12 | |
| 13 | 2024 | 10 | |
| 14 | 2018 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2012 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2002 | 5 | |
| 19 | 2013 | 5 | |
| 20 | 2013 | 5 |
About Won-Cheol Kim
Won-Cheol Kim is a scholar working on Molecular Biology, Pharmacology, Computational Mechanics, Aerospace Engineering and Civil and Structural Engineering, having authored 28 papers that have together received 513 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (11 papers), Radiative Heat Transfer Studies (4 papers), Plant biochemistry and biosynthesis (3 papers), Engineering Applied Research (3 papers), Genomics and Phylogenetic Studies (3 papers), Military Defense Systems Analysis (3 papers), Click Chemistry and Applications (2 papers) and Advanced Aircraft Design and Technologies (2 papers). The work is most often cited by research in Pharmacology (252 citations), Toxicology (29 citations), Biotechnology (66 citations), Molecular Biology (346 citations) and Organic Chemistry (60 citations). Won-Cheol Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Lauren B. Pickens, Peng Wang, Yi Tang, Young‐Soo Hong, Jung Joon Lee, Dongho Lee, Jay D. Keasling, Leonard Katz, Kyeong Lee and Kenji Watanabe. Their work appears in journals such as ChemBioChem, Journal of the American Chemical Society, Organic & Biomolecular Chemistry, iScience and Scientific Reports.
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.