Dae‐Sil Lee

774 citations
36 papers · 662 · h-index 14

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Enzyme Catalysis and Immobilization 4
    • Enzyme Production and Characterization 12

Dae‐Sil Lee

35 papers receiving 618 citations

Peers

Dae‐Sil Lee
Comparison fields: 5 of 102
  • Pharmacology 132
  • Biotechnology 126
  • Periodontics 28
  • Complementary and alternative medicine 39
  • Nutrition and Dietetics 60
Replace Pimolpan Pithayanukul with:
Pimolpan Pithayanukul Thailand
Madison H. Fletcher United States
Ah Reum Han South Korea
José Alexsandro da Silva Brazil
Shiming Deng China
Walid Sabri Hamadou Saudi Arabia
Nashwah G. M. Attallah Egypt
Intzar Ali India
Kaushik Kumar Bharadwaj India
Naho Maruyama Japan
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Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by Dae‐Sil Lee

Since Specialization
Citations

This map shows the geographic impact of Dae‐Sil 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‐Sil 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‐Sil Lee more than expected).

Fields of papers citing papers by Dae‐Sil Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008219
2 198264
3 199832
4 199327
5 199323
6 200523
7 200623
8 199220
9 200619
10 200016
11 198316
12 199915
13 200515
14 198414
15 199613
16 200612
17 200611
18 200610
19 20069
20 20039

About Dae‐Sil Lee

Dae‐Sil Lee is a scholar working on Molecular Biology, Biotechnology, Organic Chemistry, Materials Chemistry and Nutrition and Dietetics, having authored 36 papers that have together received 662 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (12 papers), Enzyme Structure and Function (7 papers), Carbohydrate Chemistry and Synthesis (6 papers), Glycosylation and Glycoproteins Research (4 papers), Bacterial Genetics and Biotechnology (4 papers), Enzyme Catalysis and Immobilization (4 papers), Phytase and its Applications (4 papers) and Microbial Metabolites in Food Biotechnology (4 papers). The work is most often cited by research in Pharmacology (132 citations), Biotechnology (126 citations), Periodontics (28 citations), Complementary and alternative medicine (39 citations) and Nutrition and Dietetics (60 citations). Dae‐Sil Lee has collaborated with scholars based in South Korea, Canada and Armenia. Frequent co-authors include Jungdon Bae, Miri Park, Arthur S. Perlin, Cheorl‐Ho Kim, Hyun‐Jae Shin, Sukhoon Koh, Doo‐Il Kim, Suk‐Tae Kwon, Joong Su Kim and Jong Hoon Park. Their work appears in journals such as Carbohydrate Research, International Journal of Molecular Sciences, Proteins Structure Function and Bioinformatics, Molecules and Cells and Microbiology.

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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