Sang Yup Lee

78.8k total citations · 22 hit papers
1.0k papers, 58.2k citations indexed

About

Sang Yup Lee is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Sang Yup Lee has authored 1.0k papers receiving a total of 58.2k indexed citations (citations by other indexed papers that have themselves been cited), including 676 papers in Molecular Biology, 324 papers in Biomedical Engineering and 178 papers in Biomaterials. Recurrent topics in Sang Yup Lee's work include Microbial Metabolic Engineering and Bioproduction (408 papers), Biofuel production and bioconversion (215 papers) and Enzyme Catalysis and Immobilization (209 papers). Sang Yup Lee is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (408 papers), Biofuel production and bioconversion (215 papers) and Enzyme Catalysis and Immobilization (209 papers). Sang Yup Lee collaborates with scholars based in South Korea, United States and Denmark. Sang Yup Lee's co-authors include Hyun Uk Kim, Tae Yong Kim, Tilmann Weber, Jin Hwan Park, Jong Hyun Choi, Seung Min Yoo, Ho Nam Chang, Kai Blin, Yu‐Sin Jang and Hyohak Song and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Sang Yup Lee

974 papers receiving 57.0k citations

Hit Papers

antiSMASH 5.0: upd... 1996 2026 2006 2016 2019 2015 2017 2011 2008 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. antiSMASH 5.0: updates to the secondary metabolite genome mining pipeline
    2019 2.2k citations Kai Blin, Simon J. Shaw et al. Nucleic Acids Research profile →
  2. antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters
    2015 1.5k citations Tilmann Weber, Kai Blin et al. Nucleic Acids Research profile →
  3. antiSMASH 4.0—improvements in chemistry prediction and gene cluster boundary identification
    2017 920 citations Kai Blin, Hyun Uk Kim et al. Nucleic Acids Research profile →
  4. Metabolic engineering of Escherichia coli for direct production of 1,4-butanediol
    2011 857 citations Sang Yup Lee et al. profile →
  5. Fermentative butanol production by clostridia
    2008 779 citations Sang Yup Lee et al. Biotechnology and Bioengineering profile →
  6. High cell-density culture of Escherichia coli
    1996 679 citations Sang Yup Lee profile →
  7. Production of succinic acid by bacterial fermentation
    2006 604 citations Sang Yup Lee et al. profile →
  8. Structural insight into molecular mechanism of poly(ethylene terephthalate) degradation
    2018 578 citations Sang Yup Lee et al. Nature Communications profile →
  9. Bacterial polyhydroxyalkanoates
    2000 570 citations Sang Yup Lee Biotechnology and Bioengineering profile →
  10. Systems metabolic engineering of microorganisms for natural and non-natural chemicals
    2012 553 citations Jeong Wook Lee, Sang Yup Lee et al. profile →
  11. Metabolic engineering of Escherichia coli using synthetic small regulatory RNAs
    2013 505 citations Sang Yup Lee et al. profile →
  12. Current status and applications of genome-scale metabolic models
    2019 491 citations Gi Bae Kim, Hyun Uk Kim et al. profile →
  13. A comprehensive metabolic map for production of bio-based chemicals
    2019 454 citations Sang Yup Lee, Hyun Uk Kim et al. profile →
  14. Optical Biosensors for the Detection of Pathogenic Microorganisms
    2015 450 citations Sang Yup Lee et al. profile →
  15. Rational Protein Engineering of Thermo-Stable PETase from Ideonella sakaiensis for Highly Efficient PET Degradation
    2019 408 citations Sang Yup Lee et al. profile →
  16. Systems strategies for developing industrial microbial strains
    2015 407 citations Sang Yup Lee, Hyun Uk Kim profile →
  17. Systems Metabolic Engineering Strategies: Integrating Systems and Synthetic Biology with Metabolic Engineering
    2019 396 citations Jae Sung Cho, Sang Yup Lee et al. profile →
  18. Biorefineries for the production of top building block chemicals and their derivatives
    2015 389 citations Sang Yup Lee et al. profile →
  19. Deep learning improves prediction of drug–drug and drug–food interactions
    2018 378 citations Jae Yong Ryu, Hyun Uk Kim et al. Proceedings of the National Academy of Sciences profile →
  20. Tools and strategies of systems metabolic engineering for the development of microbial cell factories for chemical production
    2020 325 citations Gi Bae Kim, Sang Yup Lee et al. profile →
  21. How do people compare themselves with others on social network sites?: The case of Facebook
    2014 300 citations Sang Yup Lee profile →
  22. Metabolic Engineering of Escherichia coli for Natural Product Biosynthesis
    2020 268 citations Hyunmin Eun, Sang Yup Lee et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang Yup Lee South Korea 117 38.9k 19.1k 10.5k 5.1k 4.5k 1.0k 58.2k
Ashok Pandey India 109 17.7k 0.5× 18.3k 1.0× 4.3k 0.4× 4.7k 0.9× 2.8k 0.6× 928 51.2k
J. A. Teixeira Portugal 97 11.2k 0.3× 10.9k 0.6× 5.8k 0.6× 3.7k 0.7× 2.3k 0.5× 898 40.9k
Jay D. Keasling United States 108 37.8k 1.0× 11.1k 0.6× 1.3k 0.1× 1.4k 0.3× 6.1k 1.4× 579 45.8k
David Julian McClements United States 173 17.7k 0.5× 7.9k 0.4× 16.0k 1.5× 1.5k 0.3× 1.4k 0.3× 1.7k 132.8k
Lin Li China 99 16.7k 0.4× 12.0k 0.6× 6.5k 0.6× 1.1k 0.2× 1.7k 0.4× 2.0k 55.4k
Qian Wang China 91 15.9k 0.4× 8.4k 0.4× 5.3k 0.5× 459 0.1× 1.3k 0.3× 1.6k 45.8k
Jens Nielsen Denmark 124 53.1k 1.4× 17.8k 0.9× 723 0.1× 727 0.1× 4.5k 1.0× 996 66.0k
Muhammad Bilal China 100 9.6k 0.2× 9.6k 0.5× 4.1k 0.4× 5.1k 1.0× 663 0.1× 1.1k 41.9k
Li Liu China 71 12.5k 0.3× 4.7k 0.2× 1.8k 0.2× 855 0.2× 1.3k 0.3× 1.2k 26.1k
Da‐Wen Sun Ireland 137 11.5k 0.3× 18.0k 0.9× 2.1k 0.2× 441 0.1× 975 0.2× 937 64.8k

Countries citing papers authored by Sang Yup Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sang Yup Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang Yup Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Yup Lee. A scholar is included among the top collaborators of Sang Yup 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 Sang Yup Lee. Sang Yup 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.
Kim, Gi Bae, et al.. (2025). Comprehensive evaluation of the capacities of microbial cell factories. Nature Communications. 16(1). 2869–2869. 16 indexed citations
2.
Lee, Sang Yup, et al.. (2024). Understanding the impact of Li2CO3 distribution within solid electrolyte interphases on lithium metal via thermal conditioning. Electrochimica Acta. 503. 144834–144834. 6 indexed citations
3.
Xiao, Xinxin, et al.. (2023). Superior anodic electro-fermentation by enhancing capacity for extracellular electron transfer. Bioresource Technology. 389. 129813–129813. 11 indexed citations
4.
Cho, Jae Sung, et al.. (2022). Designing Microbial Cell Factories for the Production of Chemicals. JACS Au. 2(8). 1781–1799. 125 indexed citations
5.
Jiang, Xinglin, Yulia Radko, Tetiana Gren, et al.. (2021). Distribution of ε-Poly- l -Lysine Synthetases in Coryneform Bacteria Isolated from Cheese and Human Skin. Applied and Environmental Microbiology. 87(10). 16 indexed citations
6.
Blin, Kai, Simon J. Shaw, Kat Steinke, et al.. (2019). antiSMASH 5.0: updates to the secondary metabolite genome mining pipeline. Nucleic Acids Research. 47(W1). W81–W87. 2194 indexed citations breakdown →
7.
Tong, Yaojun, Christopher M. Whitford, Kai Blin, et al.. (2019). Highly efficient DSB-free base editing for streptomycetes with CRISPR-BEST. Proceedings of the National Academy of Sciences. 116(41). 20366–20375. 137 indexed citations
8.
Ryu, Jae Yong, Hyun Uk Kim, & Sang Yup Lee. (2018). Deep learning improves prediction of drug–drug and drug–food interactions. Proceedings of the National Academy of Sciences. 115(18). E4304–E4311. 378 indexed citations breakdown →
9.
Mohite, Omkar S., Tilmann Weber, Hyun Uk Kim, & Sang Yup Lee. (2018). Genome‐Scale Metabolic Reconstruction of Actinomycetes for Antibiotics Production. Biotechnology Journal. 14(1). e1800377–e1800377. 19 indexed citations
10.
Tong, Tong, Si Chen, Lianrong Wang, et al.. (2018). Occurrence, evolution, and functions of DNA phosphorothioate epigenetics in bacteria. Proceedings of the National Academy of Sciences. 115(13). E2988–E2996. 69 indexed citations
11.
Jo, YoungJu, Sang-Jin Park, JaeHwang Jung, et al.. (2017). Holographic deep learning for rapid optical screening of anthrax spores. Science Advances. 3(8). e1700606–e1700606. 130 indexed citations
12.
Lee, Sang‐Min, Jangwook Lee, Ji Young Yhee, et al.. (2016). Non-invasive stem cell tracking in hindlimb ischemia animal model using bio-orthogonal copper-free click chemistry. Biochemical and Biophysical Research Communications. 479(4). 779–786. 29 indexed citations
13.
Kim, Jin Kyu, et al.. (2016). Bimodal porous TiO2 structures templated by graft copolymer/homopolymer blend for dye-sensitized solar cells with polymer electrolyte. Journal of Power Sources. 336. 286–297. 18 indexed citations
14.
Jang, Yu‐Sin & Sang Yup Lee. (2015). Recent Advances in Biobutanol Production. Industrial Biotechnology. 11(6). 316–321. 15 indexed citations
15.
Lee, Sang Yup, et al.. (2008). Quantification of Tocopherols and Phytosterols from the Korean Native Soybeans Germplasm. Journal of the Korean Society of International Agriculture. 2 indexed citations
16.
Lee, Seung Hwan, Seung Hwan Lee, Jong‐il Choi, et al.. (2005). Display of lipase on the cell surface of Escherichia coli using OprF as an anchor and its application to enantioselective resolution in organic solvent. Biotechnology and Bioengineering. 90(2). 223–230. 44 indexed citations
17.
Park, Si Jae, et al.. (2005). Analysis of Poly(3-hydroxybutyrate) granule-associated proteome in recombinant Escherichia coli. Journal of Microbiology and Biotechnology. 16(6). 901–910. 12 indexed citations
18.
Kim, Byung Hun, et al.. (2004). Transcriptome profiling of Escherichia coli metJ mutant. 한국생물공학회 학술대회. 478–478.
19.
Hong, Soon Ho, Tae Yong Kim, & Sang Yup Lee. (2004). Evaluating evolutionary relationship of microorganisms and their cellular metabolic pathways based on genome-scale metabolic pathway content. 722–722. 1 indexed citations
20.
Park, Sang Hyun, et al.. (2001). Preparation of Optically Active β-Amino Acids from Microbial Polyester Polyhydroxyalkanoates. Journal of Chemical Research. 2001(11). 498–499. 12 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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