Dae-Ook Kang

453 citations
37 papers · 348 · h-index 11

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 4
    • Natural product bioactivities and synthesis 3
    • Glycosylation and Glycoproteins Research 3
    • Enzyme Production and Characterization 8

Dae-Ook Kang

33 papers receiving 324 citations

Peers

Dae-Ook Kang
Comparison fields: 5 of 63
  • Biotechnology 57
  • Organic Chemistry 108
  • Molecular Biology 229
  • Immunology 69
  • Biochemistry 16
Replace Alana de Freitas Pires with:
Alana de Freitas Pires Brazil
Ken Kitajima Japan
Valentin Prisecaru United States
K. U. Bindseil Germany
Dong Ho Hong South Korea
Yoshikiyo Sakakibara Japan
Woo‐Young Yang South Korea
Yung‐Hee Kho South Korea
Sheng-Ying Qin China
Jingjing Chen China
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Citations per field
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Alana de Freitas Pires · 1×
Citations per year

Countries citing papers authored by Dae-Ook Kang

Since Specialization
Citations

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

Fields of papers citing papers by Dae-Ook Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae-Ook Kang. 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-Ook Kang. The network helps show where Dae-Ook Kang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200672
2 199236
3 201325
4 201524
5 201420
6 200318
7 201317
8 200817
9 199817
10 200212
11 201210
12 201110
13 20009
14
Characteristics of bacteriocin produced by Lactococcus lactis ET45 isolated from Kimchi
20117
15 20006
16 20156
17 20156
18 19945
19 20124
20 19963

About Dae-Ook Kang

Dae-Ook Kang is a scholar working on Molecular Biology, Biotechnology, Plant Science, Biomedical Engineering and Organic Chemistry, having authored 37 papers that have together received 348 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (8 papers), Biofuel production and bioconversion (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Probiotics and Fermented Foods (4 papers), Natural product bioactivities and synthesis (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Microbial Metabolites in Food Biotechnology (3 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Biotechnology (57 citations), Organic Chemistry (108 citations), Molecular Biology (229 citations), Immunology (69 citations) and Biochemistry (16 citations). Dae-Ook Kang has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include John A. Hanover, Dona C. Love, Eun Ju Kim, Jong Seog Ahn, Si Myung Byun, Bo Yeon Kim, Won Keun Oh, Nack‐Shick Choi, Dong Wook Kang and Michelle Bond. Their work appears in journals such as Planta Medica, Biotechnology Letters, Carbohydrate Research, IUBMB Life and The Journal of 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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