Kai Cui
Impact in
- Virology top 5%
- HIV Research and Treatment
- Rabies epidemiology and control
- Epidemiology top 10%
- Herpesvirus Infections and Treatments
- Virology and Viral Diseases
- Cytomegalovirus and herpesvirus research
Papers in
- Epidemiology 13
- Herpesvirus Infections and Treatments 9
- Virology and Viral Diseases 3
- Genetics 10
- Virus-based gene therapy research 7
- Co-authors
- Yasushi Kawaguchi (7 shared papers)T. Mikami (7 shared papers)Takeshi Mikami (3 shared papers)Kazuya Yamanouchi (5 shared papers)Takayuki Miyazawa (5 shared papers)Y. S. Shin (2 shared papers)Ken Maeda (5 shared papers)Ziqi Wang (1 shared paper)
- Journals
- Archives of Virology (6 papers)Scientific Reports (2 papers)Journal of General Virology (2 papers)Journal of Virology (2 papers)Journal of Psychiatric Research (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Kai Cui
32 papers receiving 534 citations
Peers
Comparison fields: 5 of 79
- Virology 187
- Epidemiology 319
- Genetics 210
- Animal Science and Zoology 50
- Immunology 92
Countries citing papers authored by Kai Cui
This map shows the geographic impact of Kai Cui'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 Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Cui more than expected).
Fields of papers citing papers by Kai Cui
This network shows the impact of papers produced by Kai Cui. 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 Cui. The network helps show where Kai Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Cui, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 62 | |
| 2 | 1992 | 61 | |
| 3 | 2022 | 48 | |
| 4 | 1993 | 46 | |
| 5 | 1993 | 33 | |
| 6 | 2017 | 29 | |
| 7 | 1993 | 29 | |
| 8 | 1983 | 26 | |
| 9 | 2024 | 24 | |
| 10 | 1998 | 23 | |
| 11 | 2012 | 21 | |
| 12 | 1995 | 18 | |
| 13 | 2019 | 13 | |
| 14 | 1992 | 13 | |
| 15 | 1994 | 11 | |
| 16 | 2010 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2016 | 9 | |
| 19 | 1994 | 9 | |
| 20 | 2021 | 9 |
About Kai Cui
Kai Cui is a scholar working on Epidemiology, Genetics, Immunology, Infectious Diseases and Virology, having authored 32 papers that have together received 557 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (9 papers), Virus-based gene therapy research (7 papers), HIV Research and Treatment (4 papers), Animal Disease Management and Epidemiology (4 papers), Viral-associated cancers and disorders (3 papers), Virology and Viral Diseases (3 papers), Alzheimer's disease research and treatments (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Virology (187 citations), Epidemiology (319 citations), Genetics (210 citations), Animal Science and Zoology (50 citations) and Immunology (92 citations). Kai Cui has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yasushi Kawaguchi, T. Mikami, Takeshi Mikami, Kazuya Yamanouchi, Takayuki Miyazawa, Y. S. Shin, Ken Maeda, Ziqi Wang, Ulrich Costabel and Keizō Tomonaga. Their work appears in journals such as Archives of Virology, Scientific Reports, Journal of General Virology, Journal of Virology and Journal of Psychiatric Research.
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.