Taeok Bae

7.0k citations
74 papers · 5.6k · h-index 35

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 49
    • Bacterial biofilms and quorum sensing 31
    • Biochemical and Structural Characterization 16
    • RNA and protein synthesis mechanisms 13

Taeok Bae

74 papers receiving 5.5k citations

Peers

Taeok Bae
Comparison fields: 5 of 125
  • Infectious Diseases 3.2k
  • Microbiology 720
  • Molecular Medicine 374
  • Molecular Biology 3.5k
  • Clinical Biochemistry 295
Replace Knut Ohlsen with:
Knut Ohlsen Germany
Hitoshi Komatsuzawa Japan
Christopher Weidenmaier Germany
Greg A. Somerville United States
Susanne Engelmann Germany
Dorte Frees Denmark
Ellen Murphy United States
Rebecca M. Corrigan United Kingdom
Angelika Gründling United Kingdom
Christiane Wolz Germany
Taeok Bae relative to Knut Ohlsen Germany Knut Ohlsen's profile →
Citations per field
00.5×1.5×
Knut Ohlsen · 1×
Citations per year

Countries citing papers authored by Taeok Bae

Since Specialization
Citations

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

Fields of papers citing papers by Taeok Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taeok Bae. 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 Taeok Bae. The network helps show where Taeok Bae may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005524
2 2007454
3 2007421
4 2004365
5 2010271
6 2006265
7 2004261
8 2000232
9 2006194
10 2016194
11 2006186
12 2007126
13 2017111
14 2008108
15 2010100
16 2008100
17 200395
18 201291
19 201276
20 201173

About Taeok Bae

Taeok Bae is a scholar working on Infectious Diseases, Molecular Biology, Genetics, Microbiology and Molecular Medicine, having authored 74 papers that have together received 5.6k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (49 papers), Bacterial biofilms and quorum sensing (31 papers), Bacterial Genetics and Biotechnology (26 papers), Biochemical and Structural Characterization (16 papers), RNA and protein synthesis mechanisms (13 papers), Bacteriophages and microbial interactions (10 papers), Streptococcal Infections and Treatments (8 papers) and Antibiotic Resistance in Bacteria (6 papers). The work is most often cited by research in Infectious Diseases (3.2k citations), Microbiology (720 citations), Molecular Medicine (374 citations), Molecular Biology (3.5k citations) and Clinical Biochemistry (295 citations). Taeok Bae has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Olaf Schneewind, Keiichi Hiramatsu, Tadashi Baba, Dominique M. Missiakas, Gary M. Dunny, Chuan He, Fumihiko Takeuchi, Juliane Bubeck Wardenburg, Michael J. Otto and Frank R. DeLeo. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Proceedings of the National Academy of Sciences, Antibiotics and Infection and Immunity.

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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