T Omata
Impact in
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- Viral Infections and Immunology Research
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
Papers in
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- Viral Infections and Immunology Research 7
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- Animal Virus Infections Studies 4
- Co-authors
- Akio Nomoto (5 shared papers)Nobumasa Imura (4 shared papers)Haruka Toyoda (3 shared papers)Michinori Kohara (4 shared papers)Shusuke Kuge (3 shared papers)Yasuko Nakano (1 shared paper)H. Horie (1 shared paper)Yosky Kataoka (1 shared paper)
- Journals
- Journal of Virology (3 papers)Clinical Infectious Diseases (1 paper)The Journal of Biochemistry (1 paper)Nucleic Acids Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- Japan
In The Last Decade
T Omata
8 papers receiving 835 citations
T Omata's Hit Papers
Peers
Comparison fields: 5 of 38
- Cardiology and Cardiovascular Medicine 704
- Infectious Diseases 488
- Animal Science and Zoology 142
- Agronomy and Crop Science 60
- Plant Science 218
Countries citing papers authored by T Omata
This map shows the geographic impact of T Omata'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 T Omata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Omata more than expected).
Fields of papers citing papers by T Omata
This network shows the impact of papers produced by T Omata. 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 T Omata. The network helps show where T Omata may publish in the future.
Co-authors
The 24 scholars most cited alongside T Omata, 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 | Complete nucleotide sequences of all three poliovirus serotype genomes Hit paper breakdown → | 1984 | 364 |
| 2 | 1982 | 246 | |
| 3 | 1986 | 153 | |
| 4 | 1985 | 54 | |
| 5 | 1986 | 53 | |
| 6 | 1987 | 14 | |
| 7 | 1984 | 6 | |
| 8 | 1986 | 5 |
About T Omata
T Omata is a scholar working on Cardiology and Cardiovascular Medicine, Animal Science and Zoology, Plant Science, Infectious Diseases and Genetics, having authored 8 papers that have together received 895 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (7 papers), Animal Virus Infections Studies (4 papers), Plant Virus Research Studies (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Virus-based gene therapy research (2 papers), Virology and Viral Diseases (1 paper), Plant and Fungal Interactions Research (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (704 citations), Infectious Diseases (488 citations), Animal Science and Zoology (142 citations), Agronomy and Crop Science (60 citations) and Plant Science (218 citations). T Omata has collaborated with scholars based in Japan. Frequent co-authors include Akio Nomoto, Nobumasa Imura, Haruka Toyoda, Michinori Kohara, Shusuke Kuge, Yasuko Nakano, H. Horie, Yosky Kataoka, Eckard Wimmer and Bert L. Semler. Their work appears in journals such as Journal of Virology, Clinical Infectious Diseases, The Journal of Biochemistry, Nucleic Acids Research and Proceedings of the National Academy of Sciences.
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.