Won Jun Kim

3.1k total citations · 1 hit paper
28 papers, 2.3k citations indexed

About

Won Jun Kim is a scholar working on Molecular Biology, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Won Jun Kim has authored 28 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 17 papers in Biomedical Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Won Jun Kim's work include Microbial Metabolic Engineering and Bioproduction (22 papers), Biofuel production and bioconversion (17 papers) and Enzyme Catalysis and Immobilization (11 papers). Won Jun Kim is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (22 papers), Biofuel production and bioconversion (17 papers) and Enzyme Catalysis and Immobilization (11 papers). Won Jun Kim collaborates with scholars based in South Korea, Denmark and United States. Won Jun Kim's co-authors include Sang Yup Lee, Hyun Uk Kim, Gi Bae Kim, Changdai Gu, Si Jae Park, So Young Choi, Tae Yong Kim, Jung Eun Yang, Seung Min Yoo and Jihoon Shin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Biotechnology.

In The Last Decade

Won Jun Kim

27 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Current status and applications of genome-scale metabolic models

2019 491 citations Changdai Gu, Gi Bae Kim et al. Genome biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Won Jun Kim South Korea	20	1.8k	814	198	145	127	28	2.3k
Yujin Cao China	26	1.2k 0.6×	637 0.8×	122 0.6×	189 1.3×	96 0.8×	62	2.0k
James M. Clomburg United States	28	2.6k 1.4×	1.6k 2.0×	143 0.7×	226 1.6×	128 1.0×	33	3.1k
Xiulai Chen China	26	1.9k 1.0×	695 0.9×	86 0.4×	178 1.2×	171 1.3×	134	2.4k
Gi Bae Kim South Korea	16	1.5k 0.8×	645 0.8×	105 0.5×	69 0.5×	101 0.8×	23	1.9k
Cong Gao China	26	1.8k 1.0×	697 0.9×	98 0.5×	161 1.1×	177 1.4×	133	2.2k
Jae Sung Cho South Korea	13	1.3k 0.7×	560 0.7×	103 0.5×	72 0.5×	144 1.1×	18	1.6k
Matthias Mack Germany	29	2.0k 1.1×	577 0.7×	108 0.5×	97 0.7×	342 2.7×	67	2.7k
Zhen Chen China	28	1.4k 0.8×	739 0.9×	112 0.6×	61 0.4×	113 0.9×	92	2.2k
Michael Kohlstedt Germany	23	1.3k 0.7×	940 1.2×	152 0.8×	108 0.7×	186 1.5×	41	2.0k
Jiazhang Lian China	33	2.9k 1.6×	901 1.1×	123 0.6×	142 1.0×	189 1.5×	102	3.4k

Countries citing papers authored by Won Jun Kim

Since Specialization

Citations

This map shows the geographic impact of Won Jun 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 Jun 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 Jun Kim more than expected).

Fields of papers citing papers by Won Jun Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kim, Won Jun, et al.. (2024). Hydrogen concentration prediction in a Passive Autocatalytic Recombiner using machine learning algorithms. Nuclear Engineering and Technology. 57(5). 103352–103352.

Kim, Won Jun, Youngjoon Lee, Hyun Uk Kim, et al.. (2023). Genome-wide identification of overexpression and downregulation gene targets based on the sum of covariances of the outgoing reaction fluxes. Cell Systems. 14(11). 990–1001.e5. 5 indexed citations

Jang, Yu‐Sin, Won Jun Kim, Jung Ae Im, et al.. (2023). Efforts to install a heterologous Wood-Ljungdahl pathway in Clostridium acetobutylicum enable the identification of the native tetrahydrofolate (THF) cycle and result in early induction of solvents. Metabolic Engineering. 77. 188–198. 11 indexed citations

Ahn, Jung Ho, Hogyun Seo, Jong An Lee, et al.. (2020). Enhanced succinic acid production by Mannheimia employing optimal malate dehydrogenase. Nature Communications. 11(1). 1970–1970. 225 indexed citations

Kim, Gi Bae, Won Jun Kim, Hyun Uk Kim, & Sang Yup Lee. (2019). Machine learning applications in systems metabolic engineering. Current Opinion in Biotechnology. 64. 1–9. 137 indexed citations

Chae, Tong Un, et al.. (2019). Engineering of an oleaginous bacterium for the production of fatty acids and fuels. Nature Chemical Biology. 15(7). 721–729. 90 indexed citations

Gu, Changdai, Gi Bae Kim, Won Jun Kim, Hyun Uk Kim, & Sang Yup Lee. (2019). Current status and applications of genome-scale metabolic models. Genome biology. 20(1). 121–121. 491 indexed citations breakdown →

Choi, Kyeong Rok, Won Jun Kim, & Sang Yup Lee. (2018). Metabolomics for industrial fermentation. Bioprocess and Biosystems Engineering. 41(7). 1073–1077. 7 indexed citations

Yang, Dongsoo, et al.. (2018). Repurposing type III polyketide synthase as a malonyl-CoA biosensor for metabolic engineering in bacteria. Proceedings of the National Academy of Sciences. 115(40). 9835–9844. 115 indexed citations

10.

Yang, Jung Eun, Si Jae Park, Won Jun Kim, et al.. (2018). One-step fermentative production of aromatic polyesters from glucose by metabolically engineered Escherichia coli strains. Nature Communications. 9(1). 79–79. 96 indexed citations

11.

Yoo, Seung Min, et al.. (2017). Gene Expression Knockdown by Modulating Synthetic Small RNA Expression in Escherichia coli. Cell Systems. 5(4). 418–426.e4. 85 indexed citations

12.

Choi, So Young, Si Jae Park, Won Jun Kim, et al.. (2016). One-step fermentative production of poly(lactate-co-glycolate) from carbohydrates in Escherichia coli. Nature Biotechnology. 34(4). 435–440. 175 indexed citations

13.

Kim, Won Jun, Jung Ho Ahn, Hyun Uk Kim, Tae Yong Kim, & Sang Yup Lee. (2016). Metabolic engineering of Mannheimia succiniciproducens for succinic acid production based on elementary mode analysis with clustering. Biotechnology Journal. 12(2). 18 indexed citations

14.

Chae, Tong Un, Won Jun Kim, Sol Choi, Si Jae Park, & Sang Yup Lee. (2015). Metabolic engineering of Escherichia coli for the production of 1,3-diaminopropane, a three carbon diamine. Scientific Reports. 5(1). 13040–13040. 65 indexed citations

15.

Kim, Byoung‐Jin, Won Jun Kim, Dong In Kim, & Sang Yup Lee. (2014). Applications of genome-scale metabolic network model in metabolic engineering. Journal of Industrial Microbiology & Biotechnology. 42(3). 339–348. 74 indexed citations

16.

Choi, Sol, Hyun Uk Kim, Tae Yong Kim, et al.. (2013). Production of 4-hydroxybutyric acid by metabolically engineered Mannheimia succiniciproducens and its conversion to γ-butyrolactone by acid treatment. Metabolic Engineering. 20. 73–83. 21 indexed citations

17.

Kim, Hyun Uk, Won Jun Kim, & Sang Yup Lee. (2013). Flux‐coupled genes and their use in metabolic flux analysis. Biotechnology Journal. 8(9). 1035–1042. 13 indexed citations

18.

Kim, Tae Yong, Seung Bum Sohn, Yu Bin Kim, Won Jun Kim, & Sang Yup Lee. (2011). Recent advances in reconstruction and applications of genome-scale metabolic models. Current Opinion in Biotechnology. 23(4). 617–623. 145 indexed citations

19.

Kwon, Yong Soo, et al.. (2002). Antioxidant constituents fromSetaria viridis. Archives of Pharmacal Research. 25(3). 300–305. 32 indexed citations

20.

Kwon, Yong Soo, et al.. (2002). Antimicrobial constituents of foeniculum vulgare. Archives of Pharmacal Research. 25(2). 154–157. 64 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.

Explore authors with similar magnitude of impact