K. Maeno
Impact in
- Epidemiology top 10%
- Herpesvirus Infections and Treatments
- Virology and Viral Diseases
- Cytomegalovirus and herpesvirus research
- Influenza Virus Research Studies
- Virology top 10%
Papers in
- Epidemiology 29
- Influenza Virus Research Studies 11
- Virology and Viral Diseases 9
- Herpesvirus Infections and Treatments 8
- Immunology 10
- Co-authors
- Yukihiro Nishiyama (13 shared papers)Tatsuya Tsurumi (5 shared papers)Qibin Sun (2 shared papers)Shih-Fu Chang (1 shared paper)Kaoru Shimokata (11 shared papers)Masao Iinuma (8 shared papers)T Matsumoto (4 shared papers)Yoshinori Nagai (4 shared papers)
- Journals
- Journal of General Virology (11 papers)Archives of Virology (9 papers)Infection and Immunity (4 papers)Shock Waves (4 papers)Journal of Virology (4 papers)
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
K. Maeno
50 papers receiving 873 citations
Peers
Comparison fields: 5 of 98
- Epidemiology 451
- Virology 44
- Animal Science and Zoology 72
- Computer Vision and Pattern Recognition 138
- Genetics 185
Countries citing papers authored by K. Maeno
This map shows the geographic impact of K. Maeno'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 K. Maeno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Maeno more than expected).
Fields of papers citing papers by K. Maeno
This network shows the impact of papers produced by K. Maeno. 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 K. Maeno. The network helps show where K. Maeno may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Maeno, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 98 | |
| 2 | 2006 | 96 | |
| 3 | 1979 | 78 | |
| 4 | 1991 | 74 | |
| 5 | 1987 | 63 | |
| 6 | 1983 | 48 | |
| 7 | 1993 | 38 | |
| 8 | 2003 | 38 | |
| 9 | 2003 | 29 | |
| 10 | 1993 | 28 | |
| 11 | 1991 | 26 | |
| 12 | 1982 | 21 | |
| 13 | 1982 | 19 | |
| 14 | 1987 | 18 | |
| 15 | 1987 | 17 | |
| 16 | 1971 | 15 | |
| 17 | 1985 | 15 | |
| 18 | 2005 | 15 | |
| 19 | 1978 | 15 | |
| 20 | 2015 | 13 |
About K. Maeno
K. Maeno is a scholar working on Epidemiology, Immunology, Infectious Diseases, Computational Mechanics and Molecular Biology, having authored 52 papers that have together received 930 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (11 papers), Virology and Viral Diseases (9 papers), Herpesvirus Infections and Treatments (8 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Animal Virus Infections Studies (6 papers), Gas Dynamics and Kinetic Theory (6 papers), Laser-Plasma Interactions and Diagnostics (6 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Epidemiology (451 citations), Virology (44 citations), Animal Science and Zoology (72 citations), Computer Vision and Pattern Recognition (138 citations) and Genetics (185 citations). K. Maeno has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Yukihiro Nishiyama, Tatsuya Tsurumi, Qibin Sun, Shih-Fu Chang, Kaoru Shimokata, Masao Iinuma, T Matsumoto, Yoshinori Nagai, Tetsuya Yoshida and Yasuhiko Ito. Their work appears in journals such as Journal of General Virology, Archives of Virology, Infection and Immunity, Shock Waves 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.