Min‐Kyeung Choi
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
-
- CRISPR and Genetic Engineering 6
- RNA and protein synthesis mechanisms 3
-
- Antimicrobial Peptides and Activities 5
- Microbial infections and disease research 4
- Co-authors
- Jin‐Soo Kim (4 shared papers)Sang‐Tae Kim (4 shared papers)Jae‐Young Yun (2 shared papers)Je Wook Woo (2 shared papers)Beum‐Chang Kang (2 shared papers)Youjin Shin (1 shared paper)Chankyu Park (17 shared papers)Jin‐Hoi Kim (17 shared papers)
- Journals
- Gene (2 papers)The Journal of Steroid Biochemistry and Molecular Biology (2 papers)Scientific Reports (2 papers)PLoS ONE (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- South KoreaUnited KingdomGermany
In The Last Decade
Min‐Kyeung Choi
33 papers receiving 856 citations
Peers
Comparison fields: 5 of 92
- Microbiology 87
- Business and International Management 20
- Sensory Systems 37
- Molecular Biology 522
- Aging 10
Countries citing papers authored by Min‐Kyeung Choi
This map shows the geographic impact of Min‐Kyeung 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 Min‐Kyeung Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min‐Kyeung Choi more than expected).
Fields of papers citing papers by Min‐Kyeung Choi
This network shows the impact of papers produced by Min‐Kyeung 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 Min‐Kyeung Choi. The network helps show where Min‐Kyeung Choi may publish in the future.
Co-authors
The 25 scholars most cited alongside Min‐Kyeung 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 222 | |
| 2 | 2006 | 158 | |
| 3 | 2012 | 68 | |
| 4 | 1991 | 57 | |
| 5 | 2012 | 43 | |
| 6 | 2021 | 34 | |
| 7 | 2013 | 32 | |
| 8 | 2017 | 30 | |
| 9 | 2016 | 24 | |
| 10 | 2021 | 23 | |
| 11 | 2021 | 22 | |
| 12 | 2012 | 19 | |
| 13 | 1999 | 17 | |
| 14 | 2015 | 15 | |
| 15 | 2015 | 13 | |
| 16 | 2014 | 12 | |
| 17 | 2011 | 10 | |
| 18 | 2019 | 8 | |
| 19 | 2017 | 8 | |
| 20 | 2017 | 8 |
About Min‐Kyeung Choi
Min‐Kyeung Choi is a scholar working on Molecular Biology, Microbiology, Immunology, Plant Science and Nutrition and Dietetics, having authored 34 papers that have together received 874 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Antimicrobial Peptides and Activities (5 papers), Microbial infections and disease research (4 papers), Immune Cell Function and Interaction (4 papers), Food Quality and Safety Studies (3 papers), T-cell and B-cell Immunology (3 papers), RNA and protein synthesis mechanisms (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Microbiology (87 citations), Business and International Management (20 citations), Sensory Systems (37 citations), Molecular Biology (522 citations) and Aging (10 citations). Min‐Kyeung Choi has collaborated with scholars based in South Korea, United Kingdom and Germany. Frequent co-authors include Jin‐Soo Kim, Sang‐Tae Kim, Jae‐Young Yun, Je Wook Woo, Beum‐Chang Kang, Youjin Shin, Chankyu Park, Jin‐Hoi Kim, Minh Thong Le and Dongjae Kim. Their work appears in journals such as Gene, The Journal of Steroid Biochemistry and Molecular Biology, Scientific Reports, PLoS ONE and International Journal of Molecular Sciences.
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.