Chang‐Muk Lee

1.5k citations
38 papers · 1.0k indexed · h-index 16

Chang‐Muk Lee

37 papers receiving 1.0k citations

Peers

Chang‐Muk Lee
Comparison fields: 5 of 92
  • Biotechnology 179
  • Molecular Medicine 102
  • Infectious Diseases 364
  • Molecular Biology 561
  • Epidemiology 272
Replace S Horinouchi with:
S Horinouchi Japan
Katrin Gunka Germany
Adelene Ai‐Lian Song Malaysia
Duwoon Kim South Korea
Xiuhua Pang China
David A. Widdick United Kingdom
Jia Yu China
Hailong Wang China
Qusai Al Abdallah United States
Daria V. Vasina Russia
Chang‐Muk Lee relative to S Horinouchi Japan S Horinouchi's profile →
Citations per field
00.5×6.3×
S Horinouchi · 1×
Citations per year

Countries citing papers authored by Chang‐Muk Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Muk Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Chang‐Muk Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chang‐Muk Lee Line = papers co-authored together Chang‐Muk Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 202219
4 20226
5 202014
6 201913
7 201810
8 201824
9 201524
10 201477
11 201449
12 201310
13 201212
14 2009334
15 20093
16 200885
17 200816
18
Isolation of N-Iauroyl Tyrosine Antibiotic in E. coli Carrying N-acyl Amino Acid Synthase Gene from Environmental DNA in Korean Soils
20071
19 200463
20 200224

About Chang‐Muk Lee

Chang‐Muk Lee is a scholar working on Biotechnology, Molecular Medicine, Molecular Biology, Insect Science and Pollution, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (6 papers), Enzyme Production and Characterization (5 papers), Genomics and Phylogenetic Studies (4 papers), Enzyme Catalysis and Immobilization (4 papers), Insect Utilization and Effects (4 papers), Polyamine Metabolism and Applications (4 papers), Enzyme Structure and Function (3 papers) and Microbial Community Ecology and Physiology (3 papers). The work is most often cited by research in Biotechnology (179 citations), Molecular Medicine (102 citations), Infectious Diseases (364 citations), Molecular Biology (561 citations) and Epidemiology (272 citations). Chang‐Muk Lee has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Jaiyanth Daniel, Pappachan E. Kolattukudy, Bon‐Sung Koo, Sang‐Hong Yoon, Santosh Pawar, Tatiana D. Sirakova, Linda Rogers, Vinod S. Dubey, Bassam Abomoelak and Chirajyoti Deb. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Biotechnology, Proteins Structure Function and Bioinformatics, PLoS ONE and International Journal of Biological Macromolecules.

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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