Aiko Ohnuma
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
- Infectious Diseases top 5%
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Viral Infections and Outbreaks Research
Papers in
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- Viral Infections and Vectors 5
- Viral Infections and Outbreaks Research 4
- Viral gastroenteritis research and epidemiology 3
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- Influenza Virus Research Studies 2
- Virology and Viral Diseases 2
- Co-authors
- Ichiro Nakamura (6 shared papers)Ryo Nakao (4 shared papers)Chihiro Sugimoto (2 shared papers)Ayato Takada (8 shared papers)Yongjin Qiu (4 shared papers)Fumihiko Kawamori (1 shared paper)Hiroki Shiono (3 shared papers)Yukio Chikayama (3 shared papers)
In The Last Decade
Aiko Ohnuma
19 papers receiving 459 citations
Peers
Comparison fields: 5 of 63
- Parasitology 115
- Infectious Diseases 256
- Agronomy and Crop Science 74
- Animal Science and Zoology 67
- Insect Science 62
Countries citing papers authored by Aiko Ohnuma
This map shows the geographic impact of Aiko Ohnuma'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 Aiko Ohnuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aiko Ohnuma more than expected).
Fields of papers citing papers by Aiko Ohnuma
This network shows the impact of papers produced by Aiko Ohnuma. 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 Aiko Ohnuma. The network helps show where Aiko Ohnuma may publish in the future.
Co-authors
The 25 scholars most cited alongside Aiko Ohnuma, 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 | 2017 | 99 | |
| 2 | 2014 | 89 | |
| 3 | 2004 | 60 | |
| 4 | 2019 | 45 | |
| 5 | 2011 | 44 | |
| 6 | 2012 | 27 | |
| 7 | 2015 | 25 | |
| 8 | 2002 | 19 | |
| 9 | 2021 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2021 | 10 | |
| 12 | 2016 | 8 | |
| 13 | 2013 | 4 | |
| 14 | 2003 | 4 | |
| 15 | 2011 | 3 | |
| 16 | 2014 | 3 | |
| 17 | 2011 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2016 | 1 |
About Aiko Ohnuma
Aiko Ohnuma is a scholar working on Infectious Diseases, Epidemiology, Agronomy and Crop Science, Parasitology and Ecology, Evolution, Behavior and Systematics, having authored 19 papers that have together received 469 indexed citations. Recurring topics across this work include Viral Infections and Vectors (5 papers), Viral Infections and Outbreaks Research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Vector-borne infectious diseases (3 papers), Influenza Virus Research Studies (2 papers), Milk Quality and Mastitis in Dairy Cows (2 papers), COVID-19 epidemiological studies (2 papers) and Virology and Viral Diseases (2 papers). The work is most often cited by research in Parasitology (115 citations), Infectious Diseases (256 citations), Agronomy and Crop Science (74 citations), Animal Science and Zoology (67 citations) and Insect Science (62 citations). Aiko Ohnuma has collaborated with scholars based in Japan, Zambia and Ireland. Frequent co-authors include Ichiro Nakamura, Ryo Nakao, Chihiro Sugimoto, Ayato Takada, Yongjin Qiu, Fumihiko Kawamori, Hiroki Shiono, Yukio Chikayama, Hirofumi Sawa and Yukio Yagi. Their work appears in journals such as Emerging infectious diseases, PLoS ONE, Comparative Biochemistry and Physiology Part D Genomics and Proteomics, Infection Genetics and Evolution and Marine Mammal Science.
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.