Chi-Won Choi
Impact in
- Microbiology top 1%
- Bacterial Infections and Vaccines
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Genomics and Phylogenetic Studies 8
- Bacterial biofilms and quorum sensing 4
-
- Pneumonia and Respiratory Infections 5
- Co-authors
- Seung Il Kim (25 shared papers)Je Chul Lee (8 shared papers)Sung Ho Yun (14 shared papers)Sang-Yeop Lee (14 shared papers)Edmond Changkyun Park (10 shared papers)Gun‐Hwa Kim (10 shared papers)Jung Hwa Lee (2 shared papers)Hye‐Yeon Kim (4 shared papers)
- Journals
- The Journal of Microbiology (6 papers)Journal of Proteome Research (3 papers)PLoS ONE (3 papers)Clinical Proteomics (2 papers)Journal of Antimicrobial Chemotherapy (1 paper)
- Partner nations
- South KoreaSwitzerlandUnited States
In The Last Decade
Chi-Won Choi
31 papers receiving 817 citations
Peers
Comparison fields: 5 of 87
- Microbiology 301
- Molecular Medicine 169
- Endocrinology 101
- Pollution 109
- Molecular Biology 395
Countries citing papers authored by Chi-Won Choi
This map shows the geographic impact of Chi-Won Choi'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 Chi-Won Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi-Won Choi more than expected).
Fields of papers citing papers by Chi-Won Choi
This network shows the impact of papers produced by Chi-Won Choi. 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 Chi-Won Choi. The network helps show where Chi-Won Choi may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi-Won Choi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 112 | |
| 2 | 2013 | 97 | |
| 3 | 2018 | 73 | |
| 4 | 2014 | 70 | |
| 5 | 2010 | 54 | |
| 6 | 2008 | 47 | |
| 7 | 2014 | 35 | |
| 8 | 2011 | 35 | |
| 9 | 2012 | 34 | |
| 10 | 2016 | 33 | |
| 11 | 2013 | 26 | |
| 12 | 2017 | 24 | |
| 13 | 2011 | 24 | |
| 14 | 2019 | 20 | |
| 15 | 2016 | 19 | |
| 16 | 2018 | 14 | |
| 17 | 2021 | 14 | |
| 18 | 2012 | 14 | |
| 19 | 2014 | 13 | |
| 20 | 2012 | 10 |
About Chi-Won Choi
Chi-Won Choi is a scholar working on Molecular Biology, Epidemiology, Molecular Medicine, Microbiology and Ecology, having authored 31 papers that have together received 826 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Antibiotic Resistance in Bacteria (8 papers), Bacterial Infections and Vaccines (8 papers), Microbial Community Ecology and Physiology (5 papers), Pneumonia and Respiratory Infections (5 papers), Advanced Proteomics Techniques and Applications (5 papers), Microbial bioremediation and biosurfactants (4 papers) and Bacterial biofilms and quorum sensing (4 papers). The work is most often cited by research in Microbiology (301 citations), Molecular Medicine (169 citations), Endocrinology (101 citations), Pollution (109 citations) and Molecular Biology (395 citations). Chi-Won Choi has collaborated with scholars based in South Korea, Switzerland and United States. Frequent co-authors include Seung Il Kim, Je Chul Lee, Sung Ho Yun, Sang-Yeop Lee, Edmond Changkyun Park, Gun‐Hwa Kim, Jung Hwa Lee, Hye‐Yeon Kim, Sung‐Ho Yun and Sang‐Oh Kwon. Their work appears in journals such as The Journal of Microbiology, Journal of Proteome Research, PLoS ONE, Clinical Proteomics and Journal of Antimicrobial Chemotherapy.
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.