Biao Kan
Impact in
- Endocrinology top 0.05%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria
Papers in
- Endocrinology 198
- Vibrio bacteria research studies 183
- Escherichia coli research studies 33
- Food Science 105
- Salmonella and Campylobacter epidemiology 101
- Co-authors
- Jun Zhu (20 shared papers)Weili Liang (45 shared papers)Meiying Yan (45 shared papers)Duochun Wang (49 shared papers)Hui Wang (11 shared papers)Zengtao Zhong (8 shared papers)Haijian Zhou (39 shared papers)Baowei Diao (40 shared papers)
- Journals
- PLoS ONE (17 papers)Frontiers in Microbiology (16 papers)China CDC Weekly (15 papers)Infection Genetics and Evolution (10 papers)Applied and Environmental Microbiology (9 papers)
- 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-authors
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
Showing the 20 most-cited of 326 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 116 | |
| 2 | 2010 | 93 | |
| 3 | 2019 | 90 | |
| 4 | 2014 | 89 | |
| 5 | 2011 | 82 | |
| 6 | 2003 | 82 | |
| 7 | 2007 | 81 | |
| 8 | 2006 | 79 | |
| 9 | 2019 | 78 | |
| 10 | 2015 | 73 | |
| 11 | 2012 | 64 | |
| 12 | 2008 | 63 | |
| 13 | 2015 | 61 | |
| 14 | 2013 | 61 | |
| 15 | 2014 | 56 | |
| 16 | 2012 | 52 | |
| 17 | 2008 | 51 | |
| 18 | 2009 | 51 | |
| 19 | 2014 | 48 | |
| 20 | 2017 | 48 |
About Biao Kan
Biao Kan is a scholar working on Endocrinology, Food Science, Immunology, Molecular Biology and Molecular Medicine, 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), Food Science (1.3k citations), Immunology (1.2k citations) and Microbiology (287 citations). Biao Kan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jun Zhu, Weili Liang, 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.