Seon Won Kim

431 total citations
10 papers, 331 citations indexed

About

Seon Won Kim is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Seon Won Kim has authored 10 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Plant Science. Recurrent topics in Seon Won Kim's work include Plant biochemistry and biosynthesis (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Biofuel production and bioconversion (2 papers). Seon Won Kim is often cited by papers focused on Plant biochemistry and biosynthesis (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Biofuel production and bioconversion (2 papers). Seon Won Kim collaborates with scholars based in South Korea, United States and Pakistan. Seon Won Kim's co-authors include Muhammad Yasir, Young Ryun Chung, Jay D. Keasling, Yong Chul Shin, Seon‐Woo Lee, Che Ok Jeon, Zubair Aslam, Sung Chul Yoon, Hossein Shahbani Zahiri and Jae Cheol Jeong and has published in prestigious journals such as Bioresource Technology, Journal of Agricultural and Food Chemistry and Biotechnology and Bioengineering.

In The Last Decade

Seon Won Kim

10 papers receiving 321 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Seon Won Kim South Korea 7 210 58 43 42 42 10 331
Brenton Poirier United States 10 202 1.0× 10 0.2× 131 3.0× 9 0.2× 8 0.2× 12 333
Youn-Ho Moon South Korea 11 145 0.7× 9 0.2× 85 2.0× 19 0.5× 4 0.1× 53 404
Andréia Anschau Brazil 10 277 1.3× 7 0.1× 72 1.7× 38 0.9× 94 2.2× 20 456
Mohammed I. Al-Daej Saudi Arabia 10 66 0.3× 29 0.5× 328 7.6× 8 0.2× 10 0.2× 37 466
Julia N. Lunina Russia 12 444 2.1× 5 0.1× 63 1.5× 21 0.5× 21 0.5× 16 554
Mainul Hassan France 8 204 1.0× 7 0.1× 55 1.3× 13 0.3× 49 1.2× 9 337
Waleed Khan China 9 127 0.6× 9 0.2× 225 5.2× 17 0.4× 11 0.3× 27 326
Martin Kavšček Austria 7 292 1.4× 5 0.1× 22 0.5× 20 0.5× 13 0.3× 9 333
Hirotoshi Samejima Japan 9 234 1.1× 3 0.1× 41 1.0× 17 0.4× 75 1.8× 35 394
Mehmet Nuri Aydoğan Türkiye 9 201 1.0× 6 0.1× 46 1.1× 5 0.1× 19 0.5× 19 309

Countries citing papers authored by Seon Won Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seon Won Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seon Won Kim

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

All Works

10 of 10 papers shown
1.
Wang, Yan, Junyi Yu, Hongqi Zhang, et al.. (2025). Shaping up a Mevalonate Pathway in the E. coliE. coli Coculture System for the Production of Sesquiterpenes. Journal of Agricultural and Food Chemistry. 73(8). 4820–4828. 1 indexed citations
2.
Yasir, Muhammad, Haji Muhammad Shoaib Khan, Syed Sikander Azam, et al.. (2013). Cloning and functional characterization of endo-β-1,4-glucanase gene from metagenomic library of vermicompost. The Journal of Microbiology. 51(3). 329–335. 13 indexed citations
3.
Seo, Kyung Hye, et al.. (2012). Crystallization and preliminary X-ray diffraction analysis of mevalonate kinase fromMethanosarcina mazei. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 68(12). 1560–1563. 4 indexed citations
4.
Yasir, Muhammad, Zubair Aslam, Seon Won Kim, et al.. (2009). Bacterial community composition and chitinase gene diversity of vermicompost with antifungal activity. Bioresource Technology. 100(19). 4396–4403. 104 indexed citations
5.
6.
Oh, Deok‐Kun, Namhee Kim, Hye Jung Kim, et al.. (2006). d-Psicose production from d-fructose using an isolated strain, Sinorhizobium sp.. World Journal of Microbiology and Biotechnology. 23(4). 559–563. 25 indexed citations
7.
Kang, Min‐Jung, Young Mi Lee, Kyung Hwa Jung, et al.. (2005). Identification of genes affecting lycopene accumulation in Escherichia coli using a shot‐gun method. Biotechnology and Bioengineering. 91(5). 636–642. 71 indexed citations
8.
Kim, Seon Won, et al.. (1999). Control of both foam and dissolved oxygen in the presence of a surfactant for production of β-carotene in Blakeslea trispora. Journal of Microbiology and Biotechnology. 9(5). 548–553. 10 indexed citations
9.
Jeong, Jae Cheol, et al.. (1999). Stimulation of β-carotene synthesis by hydrogen peroxide in Blakeslea trispora. Biotechnology Letters. 21(8). 683–686. 32 indexed citations
10.
Kim, Pil, et al.. (1995). ISOLATION AND CHARACTERIZATION OF A METHYLOTROPH PRODUCING 3-HYDROXYBUTYRATE-3-HYDROXYVALERATE COPOLYMER. Journal of Microbiology and Biotechnology. 5(3). 167–171. 2 indexed citations

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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