Hiroho Ishida
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology
Papers in
-
- Viral gastroenteritis research and epidemiology 9
- SARS-CoV-2 and COVID-19 Research 3
- Epidemiology 14
- Influenza Virus Research Studies 12
- Respiratory viral infections research 11
- Co-authors
- Akiko Takenaka‐Uema (17 shared papers)Shin Murakami (17 shared papers)Taisuke Horimoto (17 shared papers)Hiromichi Matsugo (15 shared papers)Masayuki Shimojima (2 shared papers)Toshiki Aoi (1 shared paper)Jin Suzuki (1 shared paper)Tomoya Kobayashi (2 shared papers)
In The Last Decade
Hiroho Ishida
20 papers receiving 313 citations
Peers
Comparison fields: 5 of 33
- Infectious Diseases 146
- Agronomy and Crop Science 74
- Animal Science and Zoology 59
- Epidemiology 172
- Modeling and Simulation 19
Countries citing papers authored by Hiroho Ishida
This map shows the geographic impact of Hiroho Ishida'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 Hiroho Ishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroho Ishida more than expected).
Fields of papers citing papers by Hiroho Ishida
This network shows the impact of papers produced by Hiroho Ishida. 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 Hiroho Ishida. The network helps show where Hiroho Ishida may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroho Ishida, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 112 | |
| 2 | 2019 | 45 | |
| 3 | 2019 | 37 | |
| 4 | 2018 | 34 | |
| 5 | 2018 | 21 | |
| 6 | 2020 | 17 | |
| 7 | 2022 | 11 | |
| 8 | 2024 | 6 | |
| 9 | 2020 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2022 | 3 | |
| 13 | 2019 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Hiroho Ishida
Hiroho Ishida is a scholar working on Infectious Diseases, Epidemiology, Animal Science and Zoology, Agronomy and Crop Science and Genetics, having authored 25 papers that have together received 319 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (12 papers), Respiratory viral infections research (11 papers), Viral gastroenteritis research and epidemiology (9 papers), Animal Virus Infections Studies (6 papers), Virus-based gene therapy research (5 papers), Animal Disease Management and Epidemiology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Infectious Diseases (146 citations), Agronomy and Crop Science (74 citations), Animal Science and Zoology (59 citations), Epidemiology (172 citations) and Modeling and Simulation (19 citations). Hiroho Ishida has collaborated with scholars based in Japan, Ethiopia and Thailand. Frequent co-authors include Akiko Takenaka‐Uema, Shin Murakami, Taisuke Horimoto, Hiromichi Matsugo, Masayuki Shimojima, Toshiki Aoi, Jin Suzuki, Tomoya Kobayashi, Yasushi Muraki and Ryota Sato. Their work appears in journals such as Viruses, Scientific Reports, Archives of Virology, Journal of Virology and Emerging 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.