Chieko Kai
Impact in
- Virology top 5%
- HIV Research and Treatment
- Epidemiology top 10%
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
- Virology and Viral Diseases
Papers in
- Epidemiology 23
- Herpesvirus Infections and Treatments 16
- Cytomegalovirus and herpesvirus research 11
- Virology and Viral Diseases 5
- Genetics 11
- Virus-based gene therapy research 11
- Co-authors
- Takayuki Miyazawa (13 shared papers)Hiroki Sato (3 shared papers)Misako Yoneda (3 shared papers)Mitsuru Ono (6 shared papers)Takeshi Mikami (11 shared papers)Ryuichi Miura (3 shared papers)Yoshihiro Izumiya (9 shared papers)Ken Maeda (5 shared papers)
- Journals
- Virology (6 papers)Virus Research (2 papers)Journal of General Virology (2 papers)Journal of Veterinary Medical Science (10 papers)Journal of Virology (1 paper)
- Partner nations
- JapanSwedenUnited States
In The Last Decade
Chieko Kai
35 papers receiving 455 citations
Peers
Comparison fields: 5 of 44
- Virology 106
- Epidemiology 329
- Animal Science and Zoology 59
- Immunology 96
- Parasitology 27
Countries citing papers authored by Chieko Kai
This map shows the geographic impact of Chieko Kai'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 Chieko Kai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chieko Kai more than expected).
Fields of papers citing papers by Chieko Kai
This network shows the impact of papers produced by Chieko Kai. 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 Chieko Kai. The network helps show where Chieko Kai may publish in the future.
Co-authors
The 25 scholars most cited alongside Chieko Kai, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 43 | |
| 2 | 2010 | 31 | |
| 3 | 1994 | 28 | |
| 4 | 2008 | 28 | |
| 5 | 1992 | 26 | |
| 6 | 1998 | 25 | |
| 7 | 1999 | 25 | |
| 8 | 1990 | 22 | |
| 9 | 2006 | 19 | |
| 10 | 1992 | 19 | |
| 11 | 1994 | 18 | |
| 12 | 1994 | 15 | |
| 13 | 1995 | 15 | |
| 14 | 1998 | 14 | |
| 15 | 1988 | 13 | |
| 16 | 1999 | 13 | |
| 17 | 1997 | 13 | |
| 18 | 1979 | 12 | |
| 19 | 1999 | 11 | |
| 20 | 1999 | 11 |
About Chieko Kai
Chieko Kai is a scholar working on Epidemiology, Genetics, Virology, Molecular Biology and Immunology, having authored 35 papers that have together received 476 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (16 papers), Cytomegalovirus and herpesvirus research (11 papers), Virus-based gene therapy research (11 papers), HIV Research and Treatment (6 papers), Virology and Viral Diseases (5 papers), Viral-associated cancers and disorders (5 papers), Animal Virus Infections Studies (5 papers) and Viral Infections and Immunology Research (4 papers). The work is most often cited by research in Virology (106 citations), Epidemiology (329 citations), Animal Science and Zoology (59 citations), Immunology (96 citations) and Parasitology (27 citations). Chieko Kai has collaborated with scholars based in Japan, Sweden and United States. Frequent co-authors include Takayuki Miyazawa, Hiroki Sato, Misako Yoneda, Mitsuru Ono, Takeshi Mikami, Ryuichi Miura, Yoshihiro Izumiya, Ken Maeda, Yasushi Kawaguchi and Yukinobu Tohya. Their work appears in journals such as Virology, Virus Research, Journal of General Virology, Journal of Veterinary Medical Science and Journal of Virology.
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.