Min-Su Kang
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in ⓘ
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- Escherichia coli research studies 9
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- Antibiotic Resistance in Bacteria 9
- Co-authors
- Yong‐Kuk Kwon (31 shared papers)Douglas R. Call (6 shared papers)Ok‐Mi Jeong (12 shared papers)Thomas E. Besser (4 shared papers)Jae-Young Oh (10 shared papers)Jun-Hun Kwon (6 shared papers)Hee-Soo Lee (8 shared papers)Suk-Chan Jung (5 shared papers)
- Journals
- Poultry Science (8 papers)Veterinary Microbiology (6 papers)Cancer Research and Treatment (5 papers)Avian Pathology (4 papers)Applied and Environmental Microbiology (2 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Min-Su Kang
71 papers receiving 979 citations
Peers
Comparison fields: 5 of 107
- Endocrinology 233
- Molecular Medicine 180
- Food Science 444
- Infectious Diseases 184
- Biotechnology 73
Countries citing papers authored by Min-Su Kang
This map shows the geographic impact of Min-Su 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 Min-Su Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min-Su Kang more than expected).
Fields of papers citing papers by Min-Su Kang
This network shows the impact of papers produced by Min-Su 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 Min-Su Kang. The network helps show where Min-Su Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Min-Su 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
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 98 | |
| 2 | 2015 | 55 | |
| 3 | 2010 | 47 | |
| 4 | 2006 | 47 | |
| 5 | 2010 | 45 | |
| 6 | 2017 | 40 | |
| 7 | 2013 | 34 | |
| 8 | 2012 | 34 | |
| 9 | 2016 | 33 | |
| 10 | 2011 | 32 | |
| 11 | 2015 | 30 | |
| 12 | 2012 | 29 | |
| 13 | 2021 | 29 | |
| 14 | 2015 | 24 | |
| 15 | 2006 | 23 | |
| 16 | 2016 | 21 | |
| 17 | 2015 | 19 | |
| 18 | 2012 | 19 | |
| 19 | 2017 | 19 | |
| 20 | 2005 | 18 |
About Min-Su Kang
Min-Su Kang is a scholar working on Endocrinology, Molecular Medicine, Food Science, Infectious Diseases and Biotechnology, having authored 78 papers that have together received 1.0k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (24 papers), Viral gastroenteritis research and epidemiology (14 papers), Escherichia coli research studies (9 papers), Antibiotic Resistance in Bacteria (9 papers), Listeria monocytogenes in Food Safety (5 papers), Bacteriophages and microbial interactions (5 papers), Influenza Virus Research Studies (4 papers) and Animal Disease Management and Epidemiology (4 papers). The work is most often cited by research in Endocrinology (233 citations), Molecular Medicine (180 citations), Food Science (444 citations), Infectious Diseases (184 citations) and Biotechnology (73 citations). Min-Su Kang has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Yong‐Kuk Kwon, Douglas R. Call, Ok‐Mi Jeong, Thomas E. Besser, Jae-Young Oh, Jun-Hun Kwon, Hee-Soo Lee, Suk-Chan Jung, Jia-Sheng Wang and Hye-Ryoung Kim. Their work appears in journals such as Poultry Science, Veterinary Microbiology, Cancer Research and Treatment, Avian Pathology and Applied and Environmental 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.