Min‐Kyoung Kang

831 total citations
34 papers, 624 citations indexed

About

Min‐Kyoung Kang is a scholar working on Molecular Biology, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Min‐Kyoung Kang has authored 34 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Biomedical Engineering and 8 papers in Mechanical Engineering. Recurrent topics in Min‐Kyoung Kang's work include Plant biochemistry and biosynthesis (10 papers), Microbial Metabolic Engineering and Bioproduction (9 papers) and Carbon Dioxide Capture Technologies (8 papers). Min‐Kyoung Kang is often cited by papers focused on Plant biochemistry and biosynthesis (10 papers), Microbial Metabolic Engineering and Bioproduction (9 papers) and Carbon Dioxide Capture Technologies (8 papers). Min‐Kyoung Kang collaborates with scholars based in South Korea, China and United States. Min‐Kyoung Kang's co-authors include Jens Nielsen, Kwang–Joong Oh, Han Min Woo, Youngsoon Um, Soo-Un Kim, Nicolaas A. Buijs, Yongjin J. Zhou, Sang‐Min Kim, Yunje Kim and Moonhyuk Kwon and has published in prestigious journals such as Applied Microbiology and Biotechnology, Industrial & Engineering Chemistry Research and Biotechnology and Bioengineering.

In The Last Decade

Min‐Kyoung Kang

33 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min‐Kyoung Kang South Korea 15 420 224 111 41 41 34 624
Agnès Amouric France 14 190 0.5× 190 0.8× 33 0.3× 23 0.6× 37 0.9× 20 474
Difeng Gao United States 14 380 0.9× 474 2.1× 182 1.6× 16 0.4× 197 4.8× 14 773
Xiangfei Li China 11 254 0.6× 68 0.3× 41 0.4× 30 0.7× 50 1.2× 34 473
Juliana V. Bevilaqua Brazil 10 312 0.7× 176 0.8× 56 0.5× 7 0.2× 36 0.9× 13 488
Yasumasa Dekishima Japan 11 791 1.9× 513 2.3× 23 0.2× 29 0.7× 76 1.9× 15 912
Juha‐Pekka Pitkänen Finland 16 664 1.6× 483 2.2× 26 0.2× 17 0.4× 40 1.0× 27 893
Qingyun Dan United States 9 264 0.6× 159 0.7× 22 0.2× 144 3.5× 45 1.1× 13 522
Sumit Sharma India 11 241 0.6× 161 0.7× 16 0.1× 35 0.9× 24 0.6× 39 495
Shimin Xu China 13 264 0.6× 259 1.2× 50 0.5× 16 0.4× 17 0.4× 21 611
Nicolaas A. Buijs Sweden 11 953 2.3× 590 2.6× 27 0.2× 51 1.2× 97 2.4× 14 1.2k

Countries citing papers authored by Min‐Kyoung Kang

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Kyoung Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐Kyoung 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 Min‐Kyoung Kang. The network helps show where Min‐Kyoung Kang may publish in the future.

Co-authorship network of co-authors of Min‐Kyoung Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Min‐Kyoung Kang. A scholar is included among the top collaborators of Min‐Kyoung 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 Min‐Kyoung Kang. Min‐Kyoung Kang 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
1.
Kang, Min‐Kyoung, et al.. (2025). Evaluation of the Salmonella type 3 secretion system (T3SS) as part of a protein production platform for space biology applications. Frontiers in Bioengineering and Biotechnology. 13. 1567596–1567596.
2.
Kang, Min‐Kyoung, Keum‐Shik Hong, Dalin Yang, & Ho Kyung Kim. (2024). Multi-scale neural networks classification of mild cognitive impairment using functional near-infrared spectroscopy. Journal of Applied Biomedicine. 45(1). 11–22. 1 indexed citations
3.
Kang, Min‐Kyoung, Sang‐Hwal Yoon, Moonhyuk Kwon, & Seon-Won Kim. (2024). Microbial cell factories for bio-based isoprenoid production to replace fossil resources. Current Opinion in Systems Biology. 37. 100502–100502. 7 indexed citations
4.
Kang, Min‐Kyoung, et al.. (2024). Reconstitution of the Mevalonate Pathway for Improvement of Isoprenoid Production and Industrial Applicability in Escherichia coli. Journal of Microbiology and Biotechnology. 34(11). 2338–2346. 1 indexed citations
5.
Kang, Min‐Kyoung, et al.. (2022). Developing methylotrophic microbial platforms for a methanol-based bioindustry. Frontiers in Bioengineering and Biotechnology. 10. 1050740–1050740. 14 indexed citations
6.
7.
Jin, Chun-Zhi, Min‐Kyoung Kang, Sohee Park, et al.. (2022). Nocardioides humilatus sp. nov., isolated from farmland soil in the Republic of Korea. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 72(2). 5 indexed citations
8.
Kang, Min‐Kyoung & Keum‐Shik Hong. (2022). A sleep stage classification method using deep learning by extracting the characteristics of frequency domain from a single EEG channel. 2022 13th Asian Control Conference (ASCC). 1575–1580. 2 indexed citations
9.
Glasscock, Cameron J., Bradley W. Biggs, Min‐Kyoung Kang, et al.. (2021). Dynamic Control of Gene Expression with Riboregulated Switchable Feedback Promoters. ACS Synthetic Biology. 10(5). 1199–1213. 24 indexed citations
10.
Yoo, Jounghyun, Gayoung Kim, Min‐Kyoung Kang, et al.. (2021). Metal complexation-mediated stable and biocompatible nanoformulation of clinically approved near-infrared absorber for improved tumor targeting and photonic theranostics. Nano Convergence. 8(1). 36–36. 14 indexed citations
11.
Kang, Min‐Kyoung & Keum‐Shik Hong. (2021). Application of Deep Learning Techniques to Diagnose Mild Cognitive Impairment: Functional Near-Infrared Spectroscopy Study. 2021 21st International Conference on Control, Automation and Systems (ICCAS). 2036–2042. 3 indexed citations
12.
13.
Kang, Min‐Kyoung, et al.. (2017). Recovery and recycling of Zr(OH) 4 with a ZrCl 4 coagulant from waste of the zirconium pentahydroxide [Zr(OH) 5 − ] displacement technique. Separation and Purification Technology. 184. 327–333. 4 indexed citations
14.
Zhu, Zhiwei, Yongjin J. Zhou, Min‐Kyoung Kang, et al.. (2017). Enabling the synthesis of medium chain alkanes and 1-alkenes in yeast. Metabolic Engineering. 44. 81–88. 61 indexed citations
15.
Kang, Min‐Kyoung & Jens Nielsen. (2016). Biobased production of alkanes and alkenes through metabolic engineering of microorganisms. Journal of Industrial Microbiology & Biotechnology. 44(4-5). 613–622. 70 indexed citations
16.
Kang, Min‐Kyoung, et al.. (2014). Biosynthesis of pinene from glucose using metabolically-engineered Corynebacterium glutamicum. Biotechnology Letters. 36(10). 2069–2077. 56 indexed citations
17.
Kang, Min‐Kyoung, Youngsoon Um, Taek Soon Lee, et al.. (2014). Synthetic biology platform of CoryneBrick vectors for gene expression in Corynebacterium glutamicum and its application to xylose utilization. Applied Microbiology and Biotechnology. 98(13). 5991–6002. 59 indexed citations
18.
Choi, In Young, Min‐Kyoung Kang, & Jung Hyun Choi. (2013). Change of Organic Matter Decomposition Rates and Greenhouse Gas Emission of the Soil of Gyeongan Stream under Different Environmental Conditions.. Korean Journal of Ecology and Environment. 46(1). 75–85. 2 indexed citations
19.
Kang, Min‐Kyoung, et al.. (2013). Effect of adding ammonia to amine solutions for CO2 capture and mass transfer performance: AMP-NH3 and MDEA-NH3. Journal of the Taiwan Institute of Chemical Engineers. 44(6). 1003–1009. 13 indexed citations
20.

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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