Biao Kan
- Endocrinology top 0.05%
- Vibrio bacteria research studies 183
- Escherichia coli research studies 33
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria 58
- Food Science top 0.5%
- Salmonella and Campylobacter epidemiology 101
- Immunology top 2%
- Aquaculture disease management and microbiota 92
- Microbiology top 1%
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- Bacteriophages and microbial interactions 48
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- Yersinia bacterium, plague, ectoparasites research 25
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- Identification and Quantification in Food 24
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Biao Kan
308 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 133
- Endocrinology 2.4k
- Molecular Medicine 1.0k
- Food Science 1.3k
- Immunology 1.2k
- Microbiology 287
Countries citing papers authored by Biao Kan
This map shows the geographic impact of Biao Kan'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 Biao Kan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biao Kan more than expected).
Fields of papers citing papers by Biao Kan
This network shows the impact of papers produced by Biao Kan. 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 Biao Kan. The network helps show where Biao Kan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Biao Kan, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 17 | |
| 6 | 2024 | 5 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 4 | |
| 11 | 2018 | 5 | |
| 12 | 2017 | 3 | |
| 13 | 2017 | 2 | |
| 14 | 2017 | 7 | |
| 15 | [Surveillance for diarrheagenic Escherichia coli in Shanghai, 2012-2013]. | 2015 | 2 |
| 16 | 2014 | 19 | |
| 17 | Identification of Staphylococcus aureus and SpA polymorphisms in Ma'anshan City | 2011 | 3 |
| 18 | 2010 | 93 | |
| 19 | Molecular epidemiological characteristics of 25 strains of Vibrio parahemolyticus. | 2010 | 1 |
| 20 | [Development of TaqMan real-time PCR in detection of Aeromonas hydrophila]. | 2009 | 2 |
About Biao Kan
Biao Kan is a scholar working on Endocrinology, Molecular Medicine and Food Science, having authored 326 papers that have together received 4.8k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (183 papers), Salmonella and Campylobacter epidemiology (101 papers), Aquaculture disease management and microbiota (92 papers), Antibiotic Resistance in Bacteria (58 papers), Bacteriophages and microbial interactions (48 papers), Escherichia coli research studies (33 papers), Yersinia bacterium, plague, ectoparasites research (25 papers) and Identification and Quantification in Food (24 papers). The work is most often cited by research in Endocrinology (2.4k citations), Molecular Medicine (1.0k citations) and Food Science (1.3k citations). Biao Kan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Weili Liang, Jun Zhu, Meiying Yan, Duochun Wang, Hui Wang, Zengtao Zhong, Haijian Zhou, Baowei Diao, Pengcheng Du and Bo Pang. Their work appears in journals such as PLoS ONE, Frontiers in Microbiology, China CDC Weekly, Infection Genetics and Evolution 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.