Kai Zhou
Impact in
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- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 detection and testing 4
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- Protein Interaction Studies and Fluorescence Analysis 3
- Co-authors
- Guang Yang (2 shared papers)Fengwen Huang (4 shared papers)Liangliang Shen (4 shared papers)Hong Yuan Xu (4 shared papers)Zhangli Hu (4 shared papers)Fangqiang Wei (1 shared paper)Jie Yan (1 shared paper)Ming Ying (3 shared papers)
In The Last Decade
Kai Zhou
42 papers receiving 681 citations
Peers
Comparison fields: 5 of 107
- Infectious Diseases 116
- Microbiology 32
- Immunology 80
- Hepatology 25
- Parasitology 22
Countries citing papers authored by Kai Zhou
This map shows the geographic impact of Kai Zhou'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 Kai Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Zhou more than expected).
Fields of papers citing papers by Kai Zhou
This network shows the impact of papers produced by Kai Zhou. 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 Kai Zhou. The network helps show where Kai Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Zhou, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 96 | |
| 2 | Clinical evaluation of a rapid colloidal gold immunochromatography assay for SARS-Cov-2 IgM/IgG. | 2020 | 70 |
| 3 | 2005 | 38 | |
| 4 | 2004 | 34 | |
| 5 | 2007 | 34 | |
| 6 | 2016 | 29 | |
| 7 | 2021 | 29 | |
| 8 | 2009 | 25 | |
| 9 | 2022 | 24 | |
| 10 | 2019 | 23 | |
| 11 | 2021 | 23 | |
| 12 | 2009 | 23 | |
| 13 | 2005 | 21 | |
| 14 | 2004 | 19 | |
| 15 | 2020 | 19 | |
| 16 | 2022 | 19 | |
| 17 | 2014 | 17 | |
| 18 | 2014 | 16 | |
| 19 | 2022 | 15 | |
| 20 | 2015 | 15 |
About Kai Zhou
Kai Zhou is a scholar working on Infectious Diseases, Molecular Biology, Critical Care and Intensive Care Medicine, Neurology and Geochemistry and Petrology, having authored 42 papers that have together received 694 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 detection and testing (4 papers), Marine animal studies overview (3 papers), Long-Term Effects of COVID-19 (3 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers), Recycling and utilization of industrial and municipal waste in materials production (2 papers) and Aquaculture disease management and microbiota (2 papers). The work is most often cited by research in Infectious Diseases (116 citations), Microbiology (32 citations), Immunology (80 citations), Hepatology (25 citations) and Parasitology (22 citations). Kai Zhou has collaborated with scholars based in China, Australia and Taiwan. Frequent co-authors include Guang Yang, Fengwen Huang, Liangliang Shen, Hong Yuan Xu, Zhangli Hu, Fangqiang Wei, Jie Yan, Ming Ying, Zhendan He and Shengli Tian. Their work appears in journals such as International Immunopharmacology, Separation and Purification Technology, Infection and Drug Resistance, Bulletin of Environmental Contamination and Toxicology and International Journal of Biological Macromolecules.
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.