Dae‐Hee Lee

7.8k citations
240 papers · 5.7k indexed · h-index 40

Impact in

    • Microbial Metabolic Engineering and Bioproduction
    • CRISPR and Genetic Engineering
    • Enzyme Catalysis and Immobilization

Papers in

    • Microbial Metabolic Engineering and Bioproduction 41
    • CRISPR and Genetic Engineering 15
    • Gene Regulatory Network Analysis 11

Dae‐Hee Lee

229 papers receiving 5.6k citations

Peers

Dae‐Hee Lee
Comparison fields: 5 of 161
  • Molecular Biology 3.2k
  • Biotechnology 328
  • Biochemistry 160
  • Cancer Research 356
  • Orthopedics and Sports Medicine 185
Replace Nobuyuki Fujita with:
Nobuyuki Fujita Japan
George N. Tzanakakis Greece
Qiao Li China
Qin Wang China
Feng Yao China
Yukio Fujiwara Japan
Michael V. Berridge New Zealand
Achille Cittadini Italy
Toshihiko Toida Japan
Dae‐Hee Lee relative to Nobuyuki Fujita Japan Nobuyuki Fujita's profile →
Citations per field
00.5×2.9×
Nobuyuki Fujita · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dae‐Hee 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 Dae‐Hee Lee Line = papers co-authored together Dae‐Hee Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 240 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012224
2 2019209
3 2015177
4 2017166
5 2008141
6 2010131
7 2012131
8 2016121
9 2008120
10 2009119
11 1994118
12 2008100
13 200998
14 201691
15 200591
16 201081
17 201880
18 202080
19 200975
20 201774

About Dae‐Hee Lee

Dae‐Hee Lee is a scholar working on Instrumentation, Molecular Biology, Biotechnology, Orthopedics and Sports Medicine and Rheumatology, having authored 240 papers that have together received 5.7k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (41 papers), Biofuel production and bioconversion (20 papers), Knee injuries and reconstruction techniques (20 papers), Total Knee Arthroplasty Outcomes (16 papers), CRISPR and Genetic Engineering (15 papers), Bacterial Genetics and Biotechnology (15 papers), Orthopaedic implants and arthroplasty (13 papers) and Gene Regulatory Network Analysis (11 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Biotechnology (328 citations), Biochemistry (160 citations), Cancer Research (356 citations) and Orthopedics and Sports Medicine (185 citations). Dae‐Hee Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent 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. Their work appears in journals such as PLoS ONE, Knee Surgery Sports Traumatology Arthroscopy, ACS Synthetic Biology, Metabolic Engineering and Journal of Cellular Biochemistry.

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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