Chae Won Kang

412 total citations
11 papers, 331 citations indexed

About

Chae Won Kang is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Chae Won Kang has authored 11 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Genetics. Recurrent topics in Chae Won Kang's work include Microbial Metabolic Engineering and Bioproduction (8 papers), Enzyme Catalysis and Immobilization (4 papers) and Biofuel production and bioconversion (2 papers). Chae Won Kang is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (8 papers), Enzyme Catalysis and Immobilization (4 papers) and Biofuel production and bioconversion (2 papers). Chae Won Kang collaborates with scholars based in South Korea, Sudan and Spain. Chae Won Kang's co-authors include Gyoo Yeol Jung, Hyun Gyu Lim, Myung Hyun Noh, Sang Woo Seo, Jina Yang, Jae‐Seong Yang, Ji Hoon Lee, Geunsik Lee, Jaetaek Kim and Hyun Kang and has published in prestigious journals such as Nature Communications, Cell Death and Disease and Metabolic Engineering.

In The Last Decade

Chae Won Kang

11 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chae Won Kang South Korea	9	262	128	37	35	31	11	331
Jung-Kee Lee South Korea	13	578 2.2×	119 0.9×	48 1.3×	12 0.3×	86 2.8×	17	748
Liangcheng Jiao China	11	286 1.1×	102 0.8×	15 0.4×	18 0.5×	44 1.4×	21	347
Devin H. Currie United States	8	290 1.1×	150 1.2×	48 1.3×	34 1.0×	53 1.7×	9	381
Demian Dietrich Germany	6	219 0.8×	81 0.6×	16 0.4×	60 1.7×	23 0.7×	7	295
Felix Müller Germany	8	244 0.9×	115 0.9×	56 1.5×	16 0.5×	25 0.8×	13	325
Andreas Schwentner Germany	6	297 1.1×	116 0.9×	48 1.3×	16 0.5×	23 0.7×	9	336
Lauren T. Cordova United States	10	265 1.0×	171 1.3×	20 0.5×	28 0.8×	9 0.3×	13	323
Guoli Hou China	9	155 0.6×	36 0.3×	12 0.3×	159 4.5×	14 0.5×	14	322
Nils Dyrset Norway	10	176 0.7×	88 0.7×	28 0.8×	16 0.5×	63 2.0×	12	321

Countries citing papers authored by Chae Won Kang

Since Specialization

Citations

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

Fields of papers citing papers by Chae Won Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chae Won Kang

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

All Works

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11 of 11 papers shown

Kang, Chae Won, et al.. (2024). A Case Study of Stress-Induced Alopecia Areata Treated with Hominis Placenta Pharmacopunture. Journal of pharmacopuncture. 27(1). 53–57. 1 indexed citations

Kang, Chae Won, Hyun Gyu Lim, Giyoung Shin, et al.. (2022). Circuit-guided population acclimation of a synthetic microbial consortium for improved biochemical production. Nature Communications. 13(1). 6506–6506. 22 indexed citations

Park, Hye Rim, et al.. (2022). Integrated analysis of miRNA and mRNA expression profiles in diabetic mouse kidney treated to Korean Red Ginseng. Molecular & Cellular Toxicology. 18(4). 637–646. 1 indexed citations

Lee, Ji Hoon, et al.. (2021). Plug-in repressor library for precise regulation of metabolic flux in Escherichia coli. Metabolic Engineering. 67. 365–372. 11 indexed citations

Lim, Hyun Gyu, et al.. (2021). Design of mutualistic microbial consortia for stable conversion of carbon monoxide to value-added chemicals. Metabolic Engineering. 64. 146–153. 31 indexed citations

Kang, Chae Won, et al.. (2021). IGF-1 protects against angiotensin II-induced cardiac fibrosis by targeting αSMA. Cell Death and Disease. 12(7). 688–688. 33 indexed citations

Noh, Myung Hyun, et al.. (2019). Precise tuning of the glyoxylate cycle in Escherichia coli for efficient tyrosine production from acetate. Microbial Cell Factories. 18(1). 57–57. 33 indexed citations

Kang, Chae Won, et al.. (2019). Multi-level engineering of Baeyer-Villiger monooxygenase-based Escherichia coli biocatalysts for the production of C9 chemicals from oleic acid. Metabolic Engineering. 54. 137–144. 31 indexed citations

Lim, Hyun Gyu, Jae‐Seong Yang, Chae Won Kang, et al.. (2019). Vibrio sp. dhg as a platform for the biorefinery of brown macroalgae. Nature Communications. 10(1). 2486–2486. 66 indexed citations

10.

Kang, Chae Won, Hyun Gyu Lim, Jina Yang, et al.. (2018). Synthetic auxotrophs for stable and tunable maintenance of plasmid copy number. Metabolic Engineering. 48. 121–128. 56 indexed citations

11.

Lee, Ji Hoon, et al.. (2018). Efficient Conversion of Acetate to 3-Hydroxypropionic Acid by Engineered Escherichia coli. Catalysts. 8(11). 525–525. 46 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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