Changmin Sung

666 total citations
44 papers, 506 citations indexed

About

Changmin Sung is a scholar working on Molecular Biology, Biomedical Engineering and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Changmin Sung has authored 44 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 6 papers in Biomedical Engineering and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Changmin Sung's work include Enzyme Catalysis and Immobilization (9 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and CRISPR and Genetic Engineering (6 papers). Changmin Sung is often cited by papers focused on Enzyme Catalysis and Immobilization (9 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and CRISPR and Genetic Engineering (6 papers). Changmin Sung collaborates with scholars based in South Korea, Armenia and Sudan. Changmin Sung's co-authors include Byung‐Gee Kim, Yung‐Hun Yang, Hwang‐Soo Joo, Hophil Min, Junghyun Son, Jae Kyung Sohng, Hyung‐Yeon Park, Shashi Kant Bhatia, Oh‐Seung Kwon and Tokutaro Yamaguchi and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Bioresource Technology.

In The Last Decade

Changmin Sung

40 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changmin Sung South Korea 14 242 74 71 62 57 44 506
Haifeng Yang China 12 181 0.7× 44 0.6× 68 1.0× 43 0.7× 23 0.4× 30 596
Huayou Chen China 17 403 1.7× 119 1.6× 99 1.4× 51 0.8× 17 0.3× 81 819
Caihong Liu China 13 179 0.7× 48 0.6× 48 0.7× 71 1.1× 22 0.4× 32 643
Aihua Zhu China 15 208 0.9× 36 0.5× 138 1.9× 16 0.3× 62 1.1× 49 702
Caterina Rufo Uruguay 13 279 1.2× 98 1.3× 126 1.8× 44 0.7× 19 0.3× 27 714
M.K. Prinsen Netherlands 16 264 1.1× 98 1.3× 89 1.3× 40 0.6× 19 0.3× 30 900
Yoonseok Lee South Korea 13 170 0.7× 53 0.7× 59 0.8× 88 1.4× 18 0.3× 47 658
Lili Lin China 18 468 1.9× 170 2.3× 79 1.1× 48 0.8× 43 0.8× 86 1.1k
Xi Luo China 16 436 1.8× 122 1.6× 40 0.6× 46 0.7× 9 0.2× 69 987

Countries citing papers authored by Changmin Sung

Since Specialization
Citations

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

Fields of papers citing papers by Changmin Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changmin Sung

This figure shows the co-authorship network connecting the top 25 collaborators of Changmin Sung. A scholar is included among the top collaborators of Changmin Sung 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 Changmin Sung. Changmin Sung 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.
Ray-Jones, Helen, Changmin Sung, Frances Burden, et al.. (2025). Genetic coupling of enhancer activity and connectivity in gene expression control. Nature Communications. 16(1). 970–970. 1 indexed citations
2.
Choi, Han‐Gon, et al.. (2025). High-throughput multiplexed gene and cell doping analysis through CRISPR-Cas12a system integrated with blood direct PCR. Science Advances. 11(28). eadv7234–eadv7234. 2 indexed citations
3.
Kim, Sang Min, Chang Soo Kim, Jisun Lee, et al.. (2025). Engineering of Corynebacterium glutamicum for para-coumaric acid biosynthesis from lignocellulosic biomass. Bioresource Technology. 435. 132860–132860.
4.
Cha, Seungwoo, Bum‐Sup Jang, Daeyeol Lee, et al.. (2025). Efficient (S)-acetoin production in Saccharomyces cerevisiae by modulating α-acetolactate decarboxylase stereospecificity. Bioresource Technology. 434. 132767–132767.
5.
Choi, Young Jun, et al.. (2024). Bio-mitigation of CO2: The co-production of phycocyanin and optically pure (R)-γ-valerolactone with perfect enantiomeric excess. Bioresource Technology. 418. 131895–131895. 2 indexed citations
6.
Lee, Jeong-Mi, Minyoung Kim, Won-Kun Park, et al.. (2024). Algal biomass-based zero-waste biorefinery for producing optically pure (R)-γ-valerolactone and carbonaceous electrodes applicable for energy storage devices. Chemical Engineering Journal. 490. 151713–151713. 5 indexed citations
7.
Cho, Yoeseph, Changmin Sung, Hophil Min, et al.. (2023). Monitoring and exposure assessment of ricinine in castor plant-based foods and dietary supplements. Journal of Food Composition and Analysis. 122. 105484–105484. 1 indexed citations
8.
Kim, Minyoung, et al.. (2023). Simple visualization method for the c.577del of erythropoietin variant: CRISPR/dCas9‐based single nucleotide polymorphism diagnosis. Drug Testing and Analysis. 16(8). 786–791. 6 indexed citations
9.
Jung, Jaehoon, Minyoung Kim, Hee‐Jin Jeong, et al.. (2023). Production and engineering of nanobody‐based quenchbody sensors for detecting recombinant human growth hormone and its isoforms. Drug Testing and Analysis. 15(11-12). 1439–1448. 6 indexed citations
10.
11.
Lee, Seunghwa, Kang Mi Lee, Sang Moon Han, et al.. (2022). Comprehensive LC-MS/MS method combined with tandem hybrid hydrolysis for multiple exposure assessment of multiclass environmental pollutants. Environmental Research. 211. 113053–113053. 10 indexed citations
12.
13.
Kim, Minyoung, Hophil Min, Byung‐Gee Kim, et al.. (2020). New application of the CRISPR‐Cas9 system for site‐specific exogenous gene doping analysis. Drug Testing and Analysis. 13(4). 871–875. 11 indexed citations
14.
Kim, Si‐Hyun, et al.. (2020). Analysis of Hypoxia-Inducible Factor Stabilizers by a Modified QuEChERS Extraction for Antidoping Analysis. 11(4). 118–124. 4 indexed citations
15.
Kim, Joonwon, Minsuk Kim, Eun-Jung Kim, et al.. (2018). Rewiring FadR regulon for the selective production of ω-hydroxy palmitic acid from glucose in Escherichia coli. Metabolic Engineering. 47. 414–422. 13 indexed citations
16.
17.
Sung, Changmin, Eunok Jung, Kwon‐Young Choi, et al.. (2015). The production of ω-hydroxy palmitic acid using fatty acid metabolism and cofactor optimization in Escherichia coli. Applied Microbiology and Biotechnology. 99(16). 6667–6676. 21 indexed citations
18.
Choi, Kwon‐Young, Eunok Jung, Bishnu Prasad Pandey, et al.. (2012). Engineering of daidzein 3’-hydroxylase P450 enzyme into catalytically self-sufficient cytochrome P450. Microbial Cell Factories. 11(1). 81–81. 24 indexed citations
19.
Kim, Pyoung Il, Jae Kyung Sohng, Changmin Sung, et al.. (2010). Characterization and structure identification of an antimicrobial peptide, hominicin, produced by Staphylococcus hominis MBBL 2–9. Biochemical and Biophysical Research Communications. 399(2). 133–138. 51 indexed citations
20.
Kim, Ha-Hyun, Changmin Sung, Gye-Yeop Kim, et al.. (2007). Seroprevalence of Bovine Coronavirus in Adult Dairy and Beef Cattle in Korea. Laboratory Animal Research. 23(2). 187–190.

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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