Masahiko Hachiya
- Health top 5%
- Vaccine Coverage and Hesitancy 18
- Health disparities and outcomes 5
- Hepatology top 10%
- Hepatitis Viruses Studies and Epidemiology 8
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 7
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 5
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- Hepatitis B Virus Studies 9
- Virology and Viral Diseases 8
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- Global Maternal and Child Health 6
- Co-authors
- Tomomi KitamuraAnonh XeuatvongsaTetsuya MizoueHitoshi MurakamiMakoto KobayashiShinsaku SakuradaHiroshi UshijimaTomoo Fujisawa
- Journals
- International Journal of Infectious Diseases (7 papers)BMC Public Health (5 papers)PLoS ONE (4 papers)
- Partner nations
- JapanUnited StatesLaos
In The Last Decade
Masahiko Hachiya
50 papers receiving 524 citations
Peers
Comparison fields: 5 of 91
- Health 216
- Hepatology 102
- Modeling and Simulation 53
- Infectious Diseases 158
- Epidemiology 210
Countries citing papers authored by Masahiko Hachiya
This map shows the geographic impact of Masahiko Hachiya'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 Masahiko Hachiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiko Hachiya more than expected).
Fields of papers citing papers by Masahiko Hachiya
This network shows the impact of papers produced by Masahiko Hachiya. 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 Masahiko Hachiya. The network helps show where Masahiko Hachiya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masahiko Hachiya, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 9 | |
| 12 | 2019 | 48 | |
| 13 | 2017 | 34 | |
| 14 | 2015 | 16 | |
| 15 | 2014 | 62 | |
| 16 | 2014 | 25 | |
| 17 | 2012 | 7 | |
| 18 | 2010 | 6 | |
| 19 | 2007 | 14 | |
| 20 | 2001 | 1 |
About Masahiko Hachiya
Masahiko Hachiya is a scholar working on Health, Modeling and Simulation and Hepatology, having authored 51 papers that have together received 537 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (18 papers), Hepatitis B Virus Studies (9 papers), Virology and Viral Diseases (8 papers), Hepatitis Viruses Studies and Epidemiology (8 papers), COVID-19 epidemiological studies (7 papers), Global Maternal and Child Health (6 papers), Viral gastroenteritis research and epidemiology (5 papers) and Health disparities and outcomes (5 papers). The work is most often cited by research in Health (216 citations), Hepatology (102 citations) and Modeling and Simulation (53 citations). Masahiko Hachiya has collaborated with scholars based in Japan, United States and Laos. Frequent co-authors include Tomomi Kitamura, Anonh Xeuatvongsa, Tetsuya Mizoue, Hitoshi Murakami, Makoto Kobayashi, Shinsaku Sakurada, Hiroshi Ushijima, Tomoo Fujisawa, Matthew Osborne and Phengta Vongphrachanh. Their work appears in journals such as International Journal of Infectious Diseases, BMC Public Health, PLoS ONE, Tropical Medicine and Health and Heliyon.
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.