Dae‐Hee Lee

7.8k total citations
240 papers, 5.7k citations indexed

About

Dae‐Hee Lee is a scholar working on Molecular Biology, Surgery and Biomedical Engineering. According to data from OpenAlex, Dae‐Hee Lee has authored 240 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Molecular Biology, 42 papers in Surgery and 35 papers in Biomedical Engineering. Recurrent topics in Dae‐Hee Lee's work include Microbial Metabolic Engineering and Bioproduction (41 papers), Knee injuries and reconstruction techniques (20 papers) and Biofuel production and bioconversion (20 papers). Dae‐Hee Lee is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (41 papers), Knee injuries and reconstruction techniques (20 papers) and Biofuel production and bioconversion (20 papers). Dae‐Hee Lee collaborates with scholars based in South Korea, United States and Japan. Dae‐Hee Lee's co-authors include Yong J. Lee, Seung‐Goo Lee, Bernhard Ø. Palsson, Seong Keun Kim, Jin‐Ho Seo, Haseong Kim, Soo‐Jin Yeom, Eugene Rha, Woong Kyo Jeong and Sunghoon Kim and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Dae‐Hee Lee

229 papers receiving 5.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dae‐Hee Lee South Korea 40 3.2k 916 832 481 401 240 5.7k
Shi Chen China 45 3.6k 1.1× 391 0.4× 609 0.7× 304 0.6× 331 0.8× 215 7.3k
Ruth Birner‐Gruenberger Austria 36 2.7k 0.8× 732 0.8× 318 0.4× 236 0.5× 272 0.7× 166 6.0k
Ahmad Reza Bahrami Iran 32 2.1k 0.7× 733 0.8× 692 0.8× 246 0.5× 620 1.5× 194 4.4k
Michael V. Berridge New Zealand 41 3.3k 1.0× 346 0.4× 575 0.7× 303 0.6× 436 1.1× 124 7.4k
Kiyohito Yagi Japan 36 1.9k 0.6× 654 0.7× 603 0.7× 187 0.4× 216 0.5× 211 4.7k
Rama Shanker Verma India 35 1.7k 0.5× 676 0.7× 785 0.9× 186 0.4× 317 0.8× 209 4.4k
Juanjuan Liu China 39 2.8k 0.9× 280 0.3× 610 0.7× 201 0.4× 576 1.4× 375 6.3k
Yi Wang China 41 3.1k 1.0× 538 0.6× 390 0.5× 315 0.7× 284 0.7× 266 6.3k
Toshihiko Toida Japan 45 3.8k 1.2× 335 0.4× 318 0.4× 297 0.6× 627 1.6× 216 7.1k

Countries citing papers authored by Dae‐Hee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Hee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dae‐Hee Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Hee Lee. A scholar is included among the top collaborators of Dae‐Hee 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 Dae‐Hee Lee. Dae‐Hee 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.
Park, Jun Hong, et al.. (2025). Automated and Programmable Cell-Free Systems for Scalable Synthetic Biology with a Focus on Biofoundry Integration. Journal of Microbiology and Biotechnology. 35. e2507019–e2507019.
2.
An, Jung-Ung, Jun Hong Park, Eui‐Sung Choi, et al.. (2025). A High-Sensitivity Genetically Encoded Biosensor for Terephthalic Acid Detection in PET Degradation. ACS Synthetic Biology. 14(9). 3497–3509.
3.
Kamath, Ajith V., Geraldine Lee, Ha‐Neul Kim, et al.. (2025). Semi-automated biofoundry workflows for sequence coevolution-guided isoprene synthase engineering. Trends in biotechnology. 44(1). 220–238. 2 indexed citations
4.
Lee, Dae‐Hee, et al.. (2024). Biomass Estimation Using Length-Weight Regression for the Freshwater Cyclopoida. Korean Journal of Ecology and Environment. 57(2). 111–122.
5.
Vijayakumar, M., Dae‐Hee Lee, Kee‐Hong Kim, & Choon Young Kim. (2024). Role of Corn Peptide Powder in Lipopolysaccharide-Induced Inflammatory Responses in 3T3-L1 Adipocytes. Nutrients. 16(12). 1924–1924. 3 indexed citations
6.
Lee, Eunyoung, Jiyun Ahn, Jeong‐Hoon Hahm, et al.. (2022). Codium fragile reduces adipose tissue expansion and fatty liver incidence by downregulating adipo‐ and lipogenesis. Journal of Food Biochemistry. 46(12). e14395–e14395. 3 indexed citations
7.
Lee, Jin‐Young, Bong Hyun Sung, Kil Koang Kwon, et al.. (2019). C1 Compound Biosensors: Design, Functional Study, and Applications. International Journal of Molecular Sciences. 20(9). 2253–2253. 17 indexed citations
8.
Kim, Hee Taek, Tae Yong Kim, Hyun Gil, et al.. (2019). Biological Valorization of Poly(ethylene terephthalate) Monomers for Upcycling Waste PET. ACS Sustainable Chemistry & Engineering. 7(24). 19396–19406. 209 indexed citations
9.
Kim, Soo-Jung, Seong Keun Kim, Wonjae Seong, et al.. (2019). Enhanced (−)-α-Bisabolol Productivity by Efficient Conversion of Mevalonate in Escherichia coli. Catalysts. 9(5). 432–432. 12 indexed citations
10.
Lee, Juyeon, Hyunji Moon, Deokhwan Kim, et al.. (2018). The Intermolecular Interaction of Ephexin4 Leads to Autoinhibition by Impeding Binding of RhoG. Cells. 7(11). 211–211. 7 indexed citations
11.
Lee, Young‐Sun, Dae‐Hee Lee, So Yeon Jeong, et al.. (2018). Ferroptosis‐inducing agents enhance TRAIL‐induced apoptosis through upregulation of death receptor 5. Journal of Cellular Biochemistry. 120(1). 928–939. 56 indexed citations
12.
13.
Shin, Yu Jin, Jeong Hee Kim, Jai-Hee Moon, et al.. (2016). Combined treatment with vitamin C and sulindac synergistically induces p53- and ROS-dependent apoptosis in human colon cancer cells. Toxicology Letters. 258. 126–133. 24 indexed citations
14.
Jo, Jae‐Cheol, Ha‐Reum Lee, Dae‐Hee Lee, et al.. (2015). Targeting FGFR Pathway in Human Hepatocellular Carcinoma: Expressing pFGFR and pMET for Antitumor Activity. Molecular Cancer Therapeutics. 14(11). 2613–2622. 22 indexed citations
15.
Lee, Dae‐Hee, Dong‐Wook Kim, Chang-Hwa Jung, Yong J. Lee, & Daeho Park. (2014). Gingerol sensitizes TRAIL-induced apoptotic cell death of glioblastoma cells. Toxicology and Applied Pharmacology. 279(3). 253–265. 57 indexed citations
16.
Jeong, Woong-Seob, Dae‐Hee Lee, Bongkon Moon, et al.. (2012). REQUIREMENTS AND FEASIBILITY STUDY OF FPC-G FINE GUIDING IN SPACE INFRARED TELESCOPE, SPICA. 27(5). 391–397. 1 indexed citations
17.
Hong, Sung Kyu, et al.. (2005). A Case of Severe Obesity-Hypoventilation Syndrome Treated by Bilevel Positive Airway Pressure Therapy. Journal of the Korean Neurological Association. 23(6). 836–839. 1 indexed citations
18.
Lee, Dae‐Hee, et al.. (2004). Process strategies to enhance the production of 5-aminolevulinic acid with recombinant E. coli. Journal of Microbiology and Biotechnology. 14(6). 1310–1317. 4 indexed citations
19.
Lee, Dae‐Hee, Jong-Soo Choi, Jung‐Uk Ha, Seung‐Cheol Lee, & Yong-Il Hwang. (2001). Ethanol Fermentation of Corn Starch by a Recombinant Saccharomyces cerevisiae Having Glucoamylase and α-Amylase Activities. Preventive Nutrition and Food Science. 6(4). 206–210. 3 indexed citations
20.
Lee, Dae‐Hee, et al.. (1989). Syntheses and Biological Activities of Copolymers Composed of Dihydropyran, Acrylic Acid and Their Derivatives. Bulletin of the Korean Chemical Society. 10(2). 212–214. 5 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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