Biao Kan
Impact in
- Endocrinology top 0.05%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
Papers in
- Endocrinology 181
- Vibrio bacteria research studies 169
- Escherichia coli research studies 28
- Immunology 83
- Aquaculture disease management and microbiota 79
- Co-authors
- Weili Liang (45 shared papers)Jun Zhu (20 shared papers)Duochun Wang (50 shared papers)Meiying Yan (44 shared papers)Hui Wang (11 shared papers)Zengtao Zhong (8 shared papers)Baowei Diao (40 shared papers)Haijian Zhou (39 shared papers)
- Journals
- PLoS ONE (17 papers)China CDC Weekly (16 papers)Frontiers in Microbiology (16 papers)Infection Genetics and Evolution (10 papers)Applied and Environmental Microbiology (9 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Biao Kan
315 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 132
- Endocrinology 2.4k
- Molecular Medicine 879
- Food Science 1.2k
- Immunology 1.2k
- Microbiology 279
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 328 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 118 | |
| 2 | 2010 | 97 | |
| 3 | 2019 | 97 | |
| 4 | 2003 | 89 | |
| 5 | 2007 | 86 | |
| 6 | 2011 | 84 | |
| 7 | 2019 | 82 | |
| 8 | 2006 | 81 | |
| 9 | 2015 | 76 | |
| 10 | 2013 | 67 | |
| 11 | 2012 | 65 | |
| 12 | 2015 | 65 | |
| 13 | 2008 | 64 | |
| 14 | 2014 | 56 | |
| 15 | 2009 | 53 | |
| 16 | 2008 | 53 | |
| 17 | 2017 | 52 | |
| 18 | 2012 | 52 | |
| 19 | 2014 | 50 | |
| 20 | 2010 | 48 |
About Biao Kan
Biao Kan is a scholar working on Endocrinology, Immunology, Food Science, Molecular Biology and Molecular Medicine, having authored 328 papers that have together received 5.0k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (169 papers), Salmonella and Campylobacter epidemiology (79 papers), Aquaculture disease management and microbiota (79 papers), Antibiotic Resistance in Bacteria (50 papers), Bacteriophages and microbial interactions (33 papers), Escherichia coli research studies (28 papers), Bacterial biofilms and quorum sensing (21 papers) and Yersinia bacterium, plague, ectoparasites research (20 papers). The work is most often cited by research in Endocrinology (2.4k citations), Molecular Medicine (879 citations), Food Science (1.2k citations), Immunology (1.2k citations) and Microbiology (279 citations). Biao Kan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Weili Liang, Jun Zhu, Duochun Wang, Meiying Yan, Hui Wang, Zengtao Zhong, Baowei Diao, Haijian Zhou, Pengcheng Du and Bo Pang. Their work appears in journals such as PLoS ONE, China CDC Weekly, Frontiers in Microbiology, 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.