Ayaka Okada
Impact in
- Virology top 10%
- HIV Research and Treatment
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
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- Extracellular vesicles in disease 10
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- Viral gastroenteritis research and epidemiology 6
- Co-authors
- Yasuo Inoshima (42 shared papers)Kaori Shimizu (27 shared papers)Md. Matiur Rahman (14 shared papers)Yasumasa Iwatani (2 shared papers)Hiroshi Takase (3 shared papers)Shinya Ugawa (2 shared papers)Yuji O. Kamatari (12 shared papers)Shigeo Takashima (9 shared papers)
- Journals
- PLoS ONE (3 papers)Membranes (2 papers)Viruses (2 papers)Archives of Virology (2 papers)Animals (2 papers)
- Partner nations
- JapanBangladeshEgypt
In The Last Decade
Ayaka Okada
50 papers receiving 543 citations
Peers
Comparison fields: 5 of 79
- Virology 67
- Cancer Research 178
- Immunology 105
- Molecular Biology 324
- Agronomy and Crop Science 45
Countries citing papers authored by Ayaka Okada
This map shows the geographic impact of Ayaka Okada'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 Ayaka Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayaka Okada more than expected).
Fields of papers citing papers by Ayaka Okada
This network shows the impact of papers produced by Ayaka Okada. 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 Ayaka Okada. The network helps show where Ayaka Okada may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayaka Okada, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 85 | |
| 2 | 2019 | 75 | |
| 3 | 2016 | 42 | |
| 4 | 2021 | 28 | |
| 5 | 2014 | 27 | |
| 6 | 2021 | 21 | |
| 7 | 2017 | 19 | |
| 8 | 2020 | 19 | |
| 9 | 2017 | 17 | |
| 10 | 2022 | 17 | |
| 11 | 2017 | 15 | |
| 12 | 2014 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2020 | 9 | |
| 18 | 2020 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2014 | 6 |
About Ayaka Okada
Ayaka Okada is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 52 papers that have together received 549 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (10 papers), T-cell and Retrovirus Studies (9 papers), Vector-Borne Animal Diseases (8 papers), Herpesvirus Infections and Treatments (7 papers), MicroRNA in disease regulation (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Marine animal studies overview (5 papers) and Helicobacter pylori-related gastroenterology studies (5 papers). The work is most often cited by research in Virology (67 citations), Cancer Research (178 citations), Immunology (105 citations), Molecular Biology (324 citations) and Agronomy and Crop Science (45 citations). Ayaka Okada has collaborated with scholars based in Japan, Bangladesh and Egypt. Frequent co-authors include Yasuo Inoshima, Kaori Shimizu, Md. Matiur Rahman, Yasumasa Iwatani, Hiroshi Takase, Shinya Ugawa, Yuji O. Kamatari, Shigeo Takashima, Kenji Ohya and Hideto Fukushi. Their work appears in journals such as PLoS ONE, Membranes, Viruses, Archives of Virology and Animals.
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.