Tae-Kwang Oh

6.1k citations
141 papers · 5.0k indexed · h-index 37

Impact in

  • Microbiology top 0.5%
  • Ecology top 0.5%
    • Microbial Community Ecology and Physiology
    • Bacteriophages and microbial interactions

Papers in

    • Microbial Community Ecology and Physiology 71
    • Bacteriophages and microbial interactions 19

Tae-Kwang Oh

141 papers receiving 4.8k citations

Peers

Tae-Kwang Oh
Comparison fields: 5 of 123
  • Microbiology 99
  • Ecology 2.1k
  • Biotechnology 698
  • Molecular Biology 3.7k
  • Periodontics 149
Replace Rüdiger Pukall with:
Rüdiger Pukall Germany
Jung‐Sook Lee South Korea
Joel A. Klappenbach United States
Soon-Wo Kwon South Korea
A. B. Arun India
Tae-Kwang Oh South Korea
Hyungseok Seo South Korea
USHA PREMACHANDRAN United States
Shu‐Kun Tang China
Yu‐Qin Zhang China
Tae-Kwang Oh relative to Rüdiger Pukall Germany Rüdiger Pukall's profile →
Citations per field
00.5×1.5×
Rüdiger Pukall · 1×
Citations per year

Countries citing papers authored by Tae-Kwang Oh

Since Specialization
Citations

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

Fields of papers citing papers by Tae-Kwang Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae-Kwang Oh. 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 Tae-Kwang Oh. The network helps show where Tae-Kwang Oh may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20091
2 200911
3 200919
4 200919
5 20088
6 200817
7 200816
8 200819
9 200840
10 200815
11 200820
12 200580
13 2001106
14 20019
15 200037
16 20001
17 199919
18 1998113
19 199511
20 199419

About Tae-Kwang Oh

Tae-Kwang Oh is a scholar working on Microbiology, Ecology, Biotechnology, Molecular Biology and Periodontics, having authored 141 papers that have together received 5.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (107 papers), Microbial Community Ecology and Physiology (71 papers), Aquaculture disease management and microbiota (26 papers), Bacteriophages and microbial interactions (19 papers), Plant Disease Resistance and Genetics (15 papers), Enzyme Production and Characterization (12 papers), Identification and Quantification in Food (9 papers) and Enzyme Catalysis and Immobilization (9 papers). The work is most often cited by research in Microbiology (99 citations), Ecology (2.1k citations), Biotechnology (698 citations), Molecular Biology (3.7k citations) and Periodontics (149 citations). Tae-Kwang Oh has collaborated with scholars based in South Korea, Germany and United States. Frequent co-authors include Jung‐Hoon Yoon, So-Jung Kang, Yong-Ha Park, Mihwa Lee, Jung-Kee Lee, Mi‐Hwa Lee, Soo-Young Lee, Byung‐Chul Oh, Jung Hoon Yoon and Choong-Hwan Lee. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Bioscience Biotechnology and Biochemistry, Biotechnology Letters, Applied Microbiology and Biotechnology and Applied and Environmental 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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