You‐Hee Cho
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 17
- Endocrinology top 2%
- Microbiology top 2%
- Antimicrobial Peptides and Activities 6
- Ecology top 5%
- Bacteriophages and microbial interactions 21
- Molecular Biology top 10%
- Bacterial biofilms and quorum sensing 23
- Genomics and Phylogenetic Studies 9
- RNA and protein synthesis mechanisms 7
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- Bacterial Genetics and Biotechnology 17
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- Microbial Natural Products and Biosynthesis 8
You‐Hee Cho
83 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 115
- Molecular Medicine 329
- Endocrinology 212
- Microbiology 244
- Ecology 520
- Molecular Biology 1.2k
Countries citing papers authored by You‐Hee Cho
This map shows the geographic impact of You‐Hee Cho'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 You‐Hee Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites You‐Hee Cho more than expected).
Fields of papers citing papers by You‐Hee Cho
This network shows the impact of papers produced by You‐Hee Cho. 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 You‐Hee Cho. The network helps show where You‐Hee Cho may publish in the future.
Co-authorship network
The 25 scholars most cited alongside You‐Hee Cho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 15 | |
| 8 | 2019 | 9 | |
| 9 | 2019 | 128 | |
| 10 | 2016 | 3 | |
| 11 | 2014 | 2 | |
| 12 | 2013 | 14 | |
| 13 | 2012 | 3 | |
| 14 | 2011 | 11 | |
| 15 | Statistical Analysis of Degradation Data under a Random Coefficient Rate Model | 2006 | 1 |
| 16 | 2006 | 41 | |
| 17 | Profiling Pyocins and Competitive Growth Advantages of Various Pseudomonas aeruginosa Strains | 2005 | 6 |
| 18 | Dithiothreitol attenuates the pathogenic interaction between Pseudomonas aeruginosa and Drosophila melanogaster | 2004 | 6 |
| 19 | Genome Diversification by Phage-Derived Genomic Islands in Pseudomonas aeruginosa | 2003 | 5 |
| 20 | Analysis of the Dual Promoters and the H₂O₂-responsive Element of the catA Gene Encoding Catalase A in Streptomyces coelicolor | 2000 | 1 |
About You‐Hee Cho
You‐Hee Cho is a scholar working on Molecular Medicine, Microbiology, Endocrinology, Ecology and Molecular Biology, having authored 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (23 papers), Bacteriophages and microbial interactions (21 papers), Antibiotic Resistance in Bacteria (17 papers), Bacterial Genetics and Biotechnology (17 papers), Genomics and Phylogenetic Studies (9 papers), Microbial Natural Products and Biosynthesis (8 papers), RNA and protein synthesis mechanisms (7 papers) and Antimicrobial Peptides and Activities (6 papers). The work is most often cited by research in Molecular Medicine (329 citations), Endocrinology (212 citations), Microbiology (244 citations), Ecology (520 citations) and Molecular Biology (1.2k citations). You‐Hee Cho has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include In-Young Chung, Hee‐Won Bae, Yun-Jeong Heo, Jung‐Hye Roe, Hye‐Jeong Jang, GwangPyo Ko, Bi-o Kim, Eun‐Jin Lee, Shin‐Young Park and Jisun Lee. Their work appears in journals such as The Journal of Microbiology, Journal of Bacteriology, Journal of Virology, Proceedings of the National Academy of Sciences and Virulence.
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.