Yun Kang
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 9
- Endocrinology top 5%
- Molecular Biology top 10%
- Bacterial biofilms and quorum sensing 10
- Natural product bioactivities and synthesis 8
- Genetics top 10%
- Bacterial Genetics and Biotechnology 4
- Pharmacology top 5%
- Berberine and alkaloids research 6
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- Burkholderia infections and melioidosis 12
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- Chromatography in Natural Products 4
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- Plant Diversity and Evolution 4
- Co-authors
- Tung T. HoangMike S. SonMichael H. NorrisDavid T. NguyenWallace J. MatthewsJan Zarzycki‐SiekHeung‐Mook ShinBruce A. Wilcox
- Journals
- Applied and Environmental Microbiology (4 papers)Phytochemical Analysis (4 papers)PLoS ONE (4 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Yun Kang
59 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 116
- Molecular Medicine 254
- Endocrinology 156
- Molecular Biology 839
- Genetics 278
- Pharmacology 81
Countries citing papers authored by Yun Kang
This map shows the geographic impact of Yun Kang'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 Yun Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Kang more than expected).
Fields of papers citing papers by Yun Kang
This network shows the impact of papers produced by Yun Kang. 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 Yun Kang. The network helps show where Yun Kang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yun Kang, 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 | 2024 | 0 | |
| 2 | 2023 | 12 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 17 | |
| 5 | 2021 | 2 | |
| 6 | 2019 | 25 | |
| 7 | 2018 | 7 | |
| 8 | 2017 | 41 | |
| 9 | 2016 | 10 | |
| 10 | 2015 | 33 | |
| 11 | 2014 | 46 | |
| 12 | 2013 | 39 | |
| 13 | 2011 | 92 | |
| 14 | 2011 | 37 | |
| 15 | 2011 | 15 | |
| 16 | 2010 | 66 | |
| 17 | 2009 | 3 | |
| 18 | 2008 | 10 | |
| 19 | 2007 | 26 | |
| 20 | 2004 | 32 |
About Yun Kang
Yun Kang is a scholar working on Molecular Medicine, Biochemistry and Endocrinology, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (12 papers), Bacterial biofilms and quorum sensing (10 papers), Antibiotic Resistance in Bacteria (9 papers), Natural product bioactivities and synthesis (8 papers), Berberine and alkaloids research (6 papers), Chromatography in Natural Products (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Plant Diversity and Evolution (4 papers). The work is most often cited by research in Molecular Medicine (254 citations), Endocrinology (156 citations) and Molecular Biology (839 citations). Yun Kang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Tung T. Hoang, Mike S. Son, Michael H. Norris, David T. Nguyen, Wallace J. Matthews, Jan Zarzycki‐Siek, Heung‐Mook Shin, Bruce A. Wilcox, Jianming Huang and Stuart P. Donachie. Their work appears in journals such as Applied and Environmental Microbiology, Phytochemical Analysis, PLoS ONE, Molecular Microbiology and Frontiers in Microbiology.
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.