Taeok Bae

6.8k citations
73 papers · 4.9k indexed · 1 hit paper · h-index 34

Impact in

Papers in

Taeok Bae

73 papers receiving 4.8k citations

Hit Papers

Allelic replacement in Staphylococcus aureus with inducible counter-selection 2005 · 511 citations
5112005202620122019100200300400500

Peers

Taeok Bae
Comparison fields: 5 of 125
  • Infectious Diseases 2.9k
  • Microbiology 687
  • Molecular Medicine 357
  • Molecular Biology 3.4k
  • Genetics 1.1k
Replace Greg A. Somerville with:
Greg A. Somerville United States
Dorte Frees Denmark
Virginie Molle France
Christopher Weidenmaier Germany
Soo‐Jin Yang South Korea
Susanne Engelmann Germany
Joseph J. Ferretti United States
Riccardo Manganelli Italy
Tanja Schneider Germany
Longzhu Cui Japan
Taeok Bae relative to Greg A. Somerville United States Greg A. Somerville's profile →
Citations per field
00.5×
Greg A. Somerville · 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-authorship network

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
#Work
1 20238
2 20227
3 20226
4 20218
5 202123
6 202026
7 20197
8 201741
9 201337
10 201321
11 201157
12 201038
13 200899
14 200864
15 2006251
16 2006185
17 2004336
18 200335
19 200265
20 200124

About Taeok Bae

Taeok Bae is a scholar working on Infectious Diseases, Microbiology, Microbiology, Molecular Medicine and Genetics, having authored 73 papers that have together received 4.9k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (49 papers), Bacterial biofilms and quorum sensing (32 papers), Bacterial Genetics and Biotechnology (27 papers), Biochemical and Structural Characterization (17 papers), RNA and protein synthesis mechanisms (13 papers), Bacteriophages and microbial interactions (10 papers), Streptococcal Infections and Treatments (7 papers) and Probiotics and Fermented Foods (5 papers). The work is most often cited by research in Infectious Diseases (2.9k citations), Microbiology (687 citations), Molecular Medicine (357 citations), Molecular Biology (3.4k citations) and Genetics (1.1k citations). Taeok Bae has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Olaf Schneewind, Gary M. Dunny, Keiichi Hiramatsu, Tadashi Baba, Dominique Missiakas, Chuan He, Fumihiko Takeuchi, Eric P. Skaar, Hoonsik Cho and Qian Liu. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Proceedings of the National Academy of Sciences, Infection and Immunity and Antibiotics.

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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