Joungmin Lee

3.5k total citations · 1 hit paper
34 papers, 2.7k citations indexed

About

Joungmin Lee is a scholar working on Molecular Biology, Biomedical Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Joungmin Lee has authored 34 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 23 papers in Biomedical Engineering and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Joungmin Lee's work include Microbial Metabolic Engineering and Bioproduction (24 papers), Biofuel production and bioconversion (23 papers) and Enzyme Catalysis and Immobilization (13 papers). Joungmin Lee is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (24 papers), Biofuel production and bioconversion (23 papers) and Enzyme Catalysis and Immobilization (13 papers). Joungmin Lee collaborates with scholars based in South Korea, United States and Germany. Joungmin Lee's co-authors include Sang Yup Lee, Yu‐Sin Jang, Sol Choi, Dokyun Na, Jong Myoung Park, Jeong Wook Lee, Chang‐Hee Cho, Chan Woo Song, Alok Malaviya and Do Young Seung and has published in prestigious journals such as Applied and Environmental Microbiology, Bioresource Technology and Scientific Reports.

In The Last Decade

Joungmin Lee

33 papers receiving 2.7k citations

Hit Papers

Systems metabolic engineering of microorganisms for natur... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers

Joungmin Lee
Hyohak Song South Korea
James M. Clomburg United States
Yu‐Sin Jang South Korea
Sean W. York United States
Sol Choi South Korea
Lorraine P. Yomano United States
Min‐Kyu Oh South Korea
Hyohak Song South Korea
Joungmin Lee
Citations per year, relative to Joungmin Lee Joungmin Lee (= 1×) peers Hyohak Song

Countries citing papers authored by Joungmin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Joungmin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joungmin Lee. 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 Joungmin Lee. The network helps show where Joungmin Lee may publish in the future.

Co-authorship network of co-authors of Joungmin Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Joungmin Lee. A scholar is included among the top collaborators of Joungmin Lee 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 Joungmin Lee. Joungmin Lee 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.
Lee, Joungmin, et al.. (2024). Development of a genetic engineering toolbox for syngas-utilizing acetogen Clostridium sp. AWRP. Microbial Cell Factories. 23(1). 6–6. 7 indexed citations
2.
Park, Mi-Jeong, Joungmin Lee, Jae Kyu Lim, et al.. (2023). Genomic potential and physiological characteristics of C1 metabolism in novel acetogenic bacteria. Frontiers in Microbiology. 14. 1279544–1279544. 1 indexed citations
3.
Lee, Joungmin. (2021). Lessons from Clostridial Genetics: Toward Engineering Acetogenic Bacteria. Biotechnology and Bioprocess Engineering. 26(6). 841–858. 3 indexed citations
4.
Kim, Minjae, Joungmin Lee, Ji‐Hyun Lee, et al.. (2019). Antigen-binding affinity and thermostability of chimeric mouse-chicken IgY and mouse-human IgG antibodies with identical variable domains. Scientific Reports. 9(1). 19242–19242. 13 indexed citations
5.
Lee, Joungmin, et al.. (2019). Domestication of the novel alcohologenic acetogen Clostridium sp. AWRP: from isolation to characterization for syngas fermentation. Biotechnology for Biofuels. 12(1). 228–228. 35 indexed citations
6.
Park, Hyunjoon, Minjae Kim, Hye‐Jin Kim, et al.. (2017). Heparan sulfate proteoglycans (HSPGs) and chondroitin sulfate proteoglycans (CSPGs) function as endocytic receptors for an internalizing anti-nucleic acid antibody. Scientific Reports. 7(1). 14373–14373. 36 indexed citations
7.
Lee, Joungmin, et al.. (2017). The catalytic activity of a recombinant single chain variable fragment nucleic acid-hydrolysing antibody varies with fusion tag and expression host. Archives of Biochemistry and Biophysics. 633. 110–117. 7 indexed citations
8.
Jang, Yu‐Sin, et al.. (2016). One hundred years of clostridial butanol fermentation. FEMS Microbiology Letters. 363(3). fnw001–fnw001. 178 indexed citations
9.
Lee, Joungmin, Yu‐Sin Jang, Eleftherios T. Papoutsakis, & Sang Yup Lee. (2016). Stable and enhanced gene expression in Clostridium acetobutylicum using synthetic untranslated regions with a stem-loop. Journal of Biotechnology. 230. 40–43. 11 indexed citations
10.
Song, Chan Woo, Joungmin Lee, Yoo‐Sung Ko, & Sang Yup Lee. (2015). Metabolic engineering of Escherichia coli for the production of 3-aminopropionic acid. Metabolic Engineering. 30. 121–129. 105 indexed citations
11.
Lee, Joungmin, Minjae Kim, Yeonjin Lee, et al.. (2015). Functional stability of 3D8 scFv, a nucleic acid-hydrolyzing single chain antibody, under different biochemical and physical conditions. International Journal of Pharmaceutics. 496(2). 561–570. 8 indexed citations
12.
Song, Chan Woo, Joungmin Lee, & Sang Yup Lee. (2014). Genome engineering and gene expression control for bacterial strain development. Biotechnology Journal. 10(1). 56–68. 54 indexed citations
13.
Jang, Yu‐Sin, Mee‐Jung Han, Joungmin Lee, et al.. (2014). Proteomic analyses of the phase transition from acidogenesis to solventogenesis using solventogenic and non-solventogenic Clostridium acetobutylicum strains. Applied Microbiology and Biotechnology. 98(11). 5105–5115. 25 indexed citations
14.
Choi, Yong Jun, Joungmin Lee, Yu‐Sin Jang, & Sang Yup Lee. (2014). Metabolic Engineering of Microorganisms for the Production of Higher Alcohols. mBio. 5(5). e01524–14. 62 indexed citations
15.
Lee, Joungmin, et al.. (2012). Effects of nutritional enrichment on the production of acetone-butanol-ethanol (ABE) by Clostridium acetobutylicum. The Journal of Microbiology. 50(6). 1063–1066. 20 indexed citations
16.
Lee, Jeong Wook, Dokyun Na, Jong Myoung Park, et al.. (2012). Systems metabolic engineering of microorganisms for natural and non-natural chemicals. Nature Chemical Biology. 8(6). 536–546. 553 indexed citations breakdown →
17.
Jang, Yu‐Sin, Alok Malaviya, Chang‐Hee Cho, Joungmin Lee, & Sang Yup Lee. (2012). Butanol production from renewable biomass by clostridia. Bioresource Technology. 123. 653–663. 215 indexed citations
18.
Jang, Yu‐Sin, Byoung‐Jin Kim, Jae Ho Shin, et al.. (2012). Bio‐based production of C2–C6 platform chemicals. Biotechnology and Bioengineering. 109(10). 2437–2459. 301 indexed citations
19.
Jang, Yu‐Sin, Joungmin Lee, Alok Malaviya, et al.. (2011). Butanol production from renewable biomass: Rediscovery of metabolic pathways and metabolic engineering. Biotechnology Journal. 7(2). 186–198. 111 indexed citations
20.
Lee, Jin‐Young, Yu‐Sin Jang, Joungmin Lee, Eleftherios T. Papoutsakis, & Sang Yup Lee. (2009). Metabolic engineering of Clostridium acetobutylicum M5 for highly selective butanol production. Biotechnology Journal. 4(10). 1432–1440. 98 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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