Itsuki Hamamoto
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Epidemiology top 10%
- Hepatitis B Virus Studies
- Influenza Virus Research Studies
- Liver Disease Diagnosis and Treatment
Papers in
-
- Respiratory viral infections research 5
- Influenza Virus Research Studies 5
- Hepatitis B Virus Studies 2
-
- Viral gastroenteritis research and epidemiology 3
- Co-authors
- Kohji Moriishi (3 shared papers)Yoshiharu Matsuura (3 shared papers)Takayuki Abe (2 shared papers)Norio Hayashi (2 shared papers)Tatsuya Kanto (2 shared papers)Michael M. C. Lai (1 shared paper)Tatsuo Miyamura (1 shared paper)Toru Okamoto (1 shared paper)
- Journals
- Journal of Virology (3 papers)Biologicals (1 paper)PLoS ONE (1 paper)Vaccine (1 paper)Japanese Journal of Infectious Diseases (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Itsuki Hamamoto
12 papers receiving 476 citations
Peers
Comparison fields: 5 of 56
- Hepatology 226
- Epidemiology 215
- Virology 31
- Immunology 121
- Infectious Diseases 68
Countries citing papers authored by Itsuki Hamamoto
This map shows the geographic impact of Itsuki Hamamoto'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 Itsuki Hamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Itsuki Hamamoto more than expected).
Fields of papers citing papers by Itsuki Hamamoto
This network shows the impact of papers produced by Itsuki Hamamoto. 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 Itsuki Hamamoto. The network helps show where Itsuki Hamamoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Itsuki Hamamoto, 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 | 2005 | 176 | |
| 2 | 2007 | 144 | |
| 3 | 2007 | 68 | |
| 4 | 2013 | 45 | |
| 5 | 2013 | 19 | |
| 6 | 2008 | 12 | |
| 7 | 2019 | 7 | |
| 8 | 2022 | 4 | |
| 9 | 2016 | 4 | |
| 10 | 2020 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2022 | 1 |
About Itsuki Hamamoto
Itsuki Hamamoto is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Immunology and Hepatology, having authored 12 papers that have together received 485 indexed citations. Recurring topics across this work include Respiratory viral infections research (5 papers), Influenza Virus Research Studies (5 papers), Viral gastroenteritis research and epidemiology (3 papers), Hepatitis C virus research (3 papers), Hepatitis B Virus Studies (2 papers), interferon and immune responses (2 papers), vaccines and immunoinformatics approaches (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Hepatology (226 citations), Epidemiology (215 citations), Virology (31 citations), Immunology (121 citations) and Infectious Diseases (68 citations). Itsuki Hamamoto has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kohji Moriishi, Yoshiharu Matsuura, Takayuki Abe, Norio Hayashi, Tatsuya Kanto, Michael M. C. Lai, Tatsuo Miyamura, Toru Okamoto, Masato Tashiro and Tetsuro Suzuki. Their work appears in journals such as Journal of Virology, Biologicals, PLoS ONE, Vaccine and Japanese Journal of Infectious Diseases.
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.