Kai Li
Impact in
- Epidemiology top 1%
- Virology and Viral Diseases
- Herpesvirus Infections and Treatments
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies
Papers in
- Epidemiology 96
- Virology and Viral Diseases 42
- Herpesvirus Infections and Treatments 40
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- CRISPR and Genetic Engineering 31
- Co-authors
- Yulong Gao (101 shared papers)Li Gao (92 shared papers)Xiaomei Wang (90 shared papers)Xiaole Qi (83 shared papers)Hongyu Cui (79 shared papers)Changjun Liu (75 shared papers)Qing Pan (47 shared papers)Yanping Zhang (43 shared papers)
- Journals
- Veterinary Microbiology (14 papers)Viruses (13 papers)Journal of Virology (9 papers)Vaccine (8 papers)Frontiers in Microbiology (6 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Kai Li
192 papers receiving 3.4k citations
Kai Li's Hit Papers
Peers
Comparison fields: 5 of 130
- Epidemiology 1.3k
- Animal Science and Zoology 424
- Immunology 561
- Infectious Diseases 481
- Insect Science 244
Countries citing papers authored by Kai Li
This map shows the geographic impact of Kai Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Li more than expected).
Fields of papers citing papers by Kai Li
This network shows the impact of papers produced by Kai Li. 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 Li. The network helps show where Kai Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Li, 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 202 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 217 | |
| 2 | 2017 | 136 | |
| 3 | 2021 | 115 | |
| 4 | 2006 | 114 | |
| 5 | 2014 | 110 | |
| 6 | 2019 | 106 | |
| 7 | 2016 | 80 | |
| 8 | 2019 | 72 | |
| 9 | 2019 | 64 | |
| 10 | 2009 | 54 | |
| 11 | 2015 | 49 | |
| 12 | 2021 | 48 | |
| 13 | 2019 | 43 | |
| 14 | 2018 | 43 | |
| 15 | 2015 | 41 | |
| 16 | 2021 | 41 | |
| 17 | 2018 | 40 | |
| 18 | 2023 | 40 | |
| 19 | 2021 | 39 | |
| 20 | 2014 | 38 |
About Kai Li
Kai Li is a scholar working on Epidemiology, Molecular Biology, Animal Science and Zoology, Genetics and Immunology, having authored 202 papers that have together received 3.5k indexed citations. Recurring topics across this work include Virology and Viral Diseases (42 papers), Herpesvirus Infections and Treatments (40 papers), CRISPR and Genetic Engineering (31 papers), Animal Virus Infections Studies (25 papers), Virus-based gene therapy research (19 papers), Viral Infections and Immunology Research (19 papers), Mosquito-borne diseases and control (17 papers) and interferon and immune responses (15 papers). The work is most often cited by research in Epidemiology (1.3k citations), Animal Science and Zoology (424 citations), Immunology (561 citations), Infectious Diseases (481 citations) and Insect Science (244 citations). Kai Li has collaborated with scholars based in China, United States and France. Frequent co-authors include Yulong Gao, Li Gao, Xiaomei Wang, Xiaole Qi, Hongyu Cui, Changjun Liu, Qing Pan, Yanping Zhang, Yongqiang Wang and Honglei Gao. Their work appears in journals such as Veterinary Microbiology, Viruses, Journal of Virology, Vaccine and Frontiers in 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.