Hiroshi Kida
- Agronomy and Crop Science top 0.02%
- Animal Disease Management and Epidemiology 125
- Epidemiology top 0.05%
- Influenza Virus Research Studies 244
- Respiratory viral infections research 115
- Virology and Viral Diseases 34
- Infectious Diseases top 0.1%
- Viral gastroenteritis research and epidemiology 71
- Viral Infections and Vectors 32
- Animal Science and Zoology top 0.2%
- Animal Virus Infections Studies 44
- Immunology top 1%
- Immune Response and Inflammation 38
- Co-authors
- Yoshihiro KawaokaAyato TakadaRobert G. WebsterYoshihiro SakodaRyo YanagawaKatsunori OkazakiToshihiro ItoMasatoshi Okamatsu
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Hiroshi Kida
385 papers receiving 12.8k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Agronomy and Crop Science 4.7k
- Epidemiology 9.8k
- Infectious Diseases 5.0k
- Animal Science and Zoology 1.3k
- Immunology 2.4k
Countries citing papers authored by Hiroshi Kida
This map shows the geographic impact of Hiroshi Kida'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 Hiroshi Kida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Kida more than expected).
Fields of papers citing papers by Hiroshi Kida
This network shows the impact of papers produced by Hiroshi Kida. 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 Hiroshi Kida. The network helps show where Hiroshi Kida may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hiroshi Kida, 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 | 1 | |
| 2 | 2021 | 9 | |
| 3 | 2020 | 37 | |
| 4 | 2019 | 15 | |
| 5 | 2018 | 1 | |
| 6 | 2016 | 39 | |
| 7 | 2014 | 32 | |
| 8 | 2013 | 8 | |
| 9 | 2013 | 14 | |
| 10 | Virucidal efficacy of povidone-iodine products against swine influenza viruses | 2009 | 3 |
| 11 | 2007 | 74 | |
| 12 | 2007 | 1 | |
| 13 | 2006 | 141 | |
| 14 | 2003 | 21 | |
| 15 | 2002 | 95 | |
| 16 | 2000 | 151 | |
| 17 | Laboratory of Microbiology | 1997 | 17 |
| 18 | 1994 | 20 | |
| 19 | 1992 | 10 | |
| 20 | 1984 | 1 |
About Hiroshi Kida
Hiroshi Kida is a scholar working on Agronomy and Crop Science, Epidemiology, Infectious Diseases, Animal Science and Zoology and Immunology, having authored 389 papers that have together received 13.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (244 papers), Animal Disease Management and Epidemiology (125 papers), Respiratory viral infections research (115 papers), Viral gastroenteritis research and epidemiology (71 papers), Animal Virus Infections Studies (44 papers), Immune Response and Inflammation (38 papers), Virology and Viral Diseases (34 papers) and Viral Infections and Vectors (32 papers). The work is most often cited by research in Agronomy and Crop Science (4.7k citations), Epidemiology (9.8k citations), Infectious Diseases (5.0k citations), Animal Science and Zoology (1.3k citations) and Immunology (2.4k citations). Hiroshi Kida has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Yoshihiro Kawaoka, Ayato Takada, Robert G. Webster, Yoshihiro Sakoda, Ryo Yanagawa, Katsunori Okazaki, Toshihiro Ito, Masatoshi Okamatsu, Takeshi Noda and Shinji Watanabe. Their work appears in journals such as Archives of Virology, Virology, Veterinary Microbiology, Vaccine and Journal of Virology.
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.