Tomoyuki Shiota
- Virology top 5%
- Hepatology top 5%
- Hepatitis Viruses Studies and Epidemiology 13
- Hepatitis C virus research 7
- Liver Disease and Transplantation 5
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 11
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies 5
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- Herpesvirus Infections and Treatments 4
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- Viral Infections and Immunology Research 5
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- Virus-based gene therapy research 3
- Co-authors
- Sayaka YoshizakiKoji IshiiTakaji WakitaTian‐Cheng LiMasayuki SaijoMasashi MizuguchiShoko OkitsuShigeru Morikawa
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Virology (5 papers)Science Advances (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Tomoyuki Shiota
23 papers receiving 544 citations
Peers
Comparison fields: 5 of 55
- Virology 148
- Hepatology 194
- Infectious Diseases 294
- Animal Science and Zoology 92
- Epidemiology 184
Countries citing papers authored by Tomoyuki Shiota
This map shows the geographic impact of Tomoyuki Shiota'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 Tomoyuki Shiota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoyuki Shiota more than expected).
Fields of papers citing papers by Tomoyuki Shiota
This network shows the impact of papers produced by Tomoyuki Shiota. 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 Tomoyuki Shiota. The network helps show where Tomoyuki Shiota may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomoyuki Shiota, 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 | 2023 | 9 | |
| 2 | 2022 | 3 | |
| 3 | 2022 | 7 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 10 | |
| 8 | 2020 | 50 | |
| 9 | 2019 | 25 | |
| 10 | 2018 | 30 | |
| 11 | 2014 | 10 | |
| 12 | 2014 | 13 | |
| 13 | 2011 | 6 | |
| 14 | 2011 | 3 | |
| 15 | 2009 | 84 | |
| 16 | 2009 | 75 | |
| 17 | 2009 | 45 | |
| 18 | 2007 | 36 | |
| 19 | 2007 | 15 | |
| 20 | 2007 | 48 |
About Tomoyuki Shiota
Tomoyuki Shiota is a scholar working on Hepatology, Virology and Infectious Diseases, having authored 23 papers that have together received 554 indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (13 papers), Viral gastroenteritis research and epidemiology (11 papers), Hepatitis C virus research (7 papers), Viral Infections and Immunology Research (5 papers), Liver Disease and Transplantation (5 papers), Animal Virus Infections Studies (5 papers), Herpesvirus Infections and Treatments (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Virology (148 citations), Hepatology (194 citations) and Infectious Diseases (294 citations). Tomoyuki Shiota has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Sayaka Yoshizaki, Koji Ishii, Takaji Wakita, Tian‐Cheng Li, Masayuki Saijo, Masashi Mizuguchi, Shoko Okitsu, Shigeru Morikawa, Hiroshi Ushijima and Sayaka Takanashi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology and Science Advances.
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.