Ryo Okada
Impact in
- Endocrinology top 1%
- Plant and Fungal Interactions Research
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
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- Plant and Fungal Interactions Research 14
-
- Plant Disease Resistance and Genetics 11
- Plant Disease Management Techniques 7
- Plant Virus Research Studies 6
- Co-authors
- Akiko Takahashi (5 shared papers)Sugiko Watanabe (3 shared papers)Eiji Hara (3 shared papers)Masaki Takasugi (2 shared papers)Rodrigo A. Valverde (9 shared papers)Chikashi Obuse (1 shared paper)Koji Nagao (1 shared paper)Masato T. Kanemaki (1 shared paper)
- Journals
- Journal of General Virology (5 papers)Nature Communications (3 papers)Apmis (3 papers)Virus Research (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Ryo Okada
51 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Endocrinology 400
- Cancer Research 524
- Aging 45
- Immunology 494
- Molecular Biology 1.1k
Countries citing papers authored by Ryo Okada
This map shows the geographic impact of Ryo 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 Ryo Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryo Okada more than expected).
Fields of papers citing papers by Ryo Okada
This network shows the impact of papers produced by Ryo 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 Ryo Okada. The network helps show where Ryo Okada may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryo 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Exosomes maintain cellular homeostasis by excreting harmful DNA from cells Hit paper breakdown → | 2017 | 610 |
| 2 | 2017 | 306 | |
| 3 | 2018 | 258 | |
| 4 | 2018 | 84 | |
| 5 | 2011 | 80 | |
| 6 | 2019 | 78 | |
| 7 | 2011 | 74 | |
| 8 | 2016 | 63 | |
| 9 | 2013 | 58 | |
| 10 | 2012 | 56 | |
| 11 | 2020 | 50 | |
| 12 | 2020 | 46 | |
| 13 | 2011 | 45 | |
| 14 | 2015 | 32 | |
| 15 | 2013 | 30 | |
| 16 | 2017 | 29 | |
| 17 | 2014 | 25 | |
| 18 | 2011 | 21 | |
| 19 | 2021 | 14 | |
| 20 | 2014 | 14 |
About Ryo Okada
Ryo Okada is a scholar working on Endocrinology, Plant Science, Immunology, Molecular Biology and Infectious Diseases, having authored 53 papers that have together received 2.1k indexed citations. Recurring topics across this work include Plant and Fungal Interactions Research (14 papers), Plant Disease Resistance and Genetics (11 papers), Plant Disease Management Techniques (7 papers), Streptococcal Infections and Treatments (7 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Plant Virus Research Studies (6 papers), MicroRNA in disease regulation (4 papers) and Extracellular vesicles in disease (4 papers). The work is most often cited by research in Endocrinology (400 citations), Cancer Research (524 citations), Aging (45 citations), Immunology (494 citations) and Molecular Biology (1.1k citations). Ryo Okada has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Akiko Takahashi, Sugiko Watanabe, Eiji Hara, Masaki Takasugi, Rodrigo A. Valverde, Chikashi Obuse, Koji Nagao, Masato T. Kanemaki, Shin Yoshimoto and Aki Hanyu. Their work appears in journals such as Journal of General Virology, Nature Communications, Apmis, Virus Research and Journal of Biological Chemistry.
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.