Kai Zhao
- Biomaterials top 0.5%
- Pharmaceutical Science top 0.2%
- Advanced Drug Delivery Systems 29
- Molecular Medicine top 2%
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies 20
- Immunology top 5%
- Immunotherapy and Immune Responses 28
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- RNA Interference and Gene Delivery 25
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- Virology and Viral Diseases 15
- Hepatitis B Virus Studies 10
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- Microbial Natural Products and Biosynthesis 13
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- Cancer Treatment and Pharmacology 10
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Kai Zhao
170 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Biomaterials 1.9k
- Pharmaceutical Science 782
- Molecular Medicine 269
- Animal Science and Zoology 352
- Immunology 710
Countries citing papers authored by Kai Zhao
This map shows the geographic impact of Kai Zhao'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 Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Zhao more than expected).
Fields of papers citing papers by Kai Zhao
This network shows the impact of papers produced by Kai Zhao. 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 Zhao. The network helps show where Kai Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai Zhao, 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 | 0 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 31 | |
| 8 | 2023 | 18 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 72 | |
| 11 | 2022 | 34 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 11 | |
| 14 | 2021 | 1 | |
| 15 | 2020 | 54 | |
| 16 | Molecular epidemiology of tetracycline resistance among viridians group streptococci isolated from various clinical specimens | 2017 | 2 |
| 17 | Analysis on 124 Cases of(Suspected)Adverse Events Following Immunization of Hepatitis B Vaccine Reported in Documents | 2010 | 1 |
| 18 | Study of preparation of chitosan micro-/nano-particles and their characteristics | 2009 | 1 |
| 19 | Shoot Tip Culture for Rosmarinus Officinalis | 2008 | 1 |
| 20 | Using swine self IgG H chain as a carrier to construct an recombinant vaccine against type O foot-and-mouth disease virus infection | 2000 | 2 |
About Kai Zhao
Kai Zhao is a scholar working on Pharmaceutical Science, Animal Science and Zoology and Biomaterials, having authored 181 papers that have together received 6.1k indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (29 papers), Immunotherapy and Immune Responses (28 papers), RNA Interference and Gene Delivery (25 papers), Animal Virus Infections Studies (20 papers), Virology and Viral Diseases (15 papers), Microbial Natural Products and Biosynthesis (13 papers), Hepatitis B Virus Studies (10 papers) and Cancer Treatment and Pharmacology (10 papers). The work is most often cited by research in Biomaterials (1.9k citations), Pharmaceutical Science (782 citations) and Molecular Medicine (269 citations). Kai Zhao has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Zheng Jin, Guo‐Qiang Chen, Mingzhu Liu, Shuang Yu, Mo Zhou, Beini Sun, Richard R. Burgess, Qiuyu Meng, Dongying Zhao and Wenqian Wang.
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.