Ayako Okamoto
Impact in
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- Enzyme Production and Characterization
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Oncology 11
- Peptidase Inhibition and Analysis 6
- Cancer Immunotherapy and Biomarkers 2
- Bone health and treatments 2
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- Studies on Chitinases and Chitosanases 3
- Fungal and yeast genetics research 2
- Co-authors
- Tomoko Satoh (1 shared paper)Tomomi Kawasaki (1 shared paper)Michio Takeuchi (7 shared papers)Ken-Ichi Kusumoto (5 shared papers)Hiroto Morita (6 shared papers)Hiroki Ishida (6 shared papers)Daichi Chikazu (3 shared papers)Tomomitsu Hotta (3 shared papers)
In The Last Decade
Ayako Okamoto
21 papers receiving 402 citations
Peers
Comparison fields: 5 of 76
- Biotechnology 41
- Immunology 82
- Organic Chemistry 94
- Oncology 86
- Periodontics 14
Countries citing papers authored by Ayako Okamoto
This map shows the geographic impact of Ayako Okamoto'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 Ayako Okamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayako Okamoto more than expected).
Fields of papers citing papers by Ayako Okamoto
This network shows the impact of papers produced by Ayako Okamoto. 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 Ayako Okamoto. The network helps show where Ayako Okamoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayako Okamoto, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 97 | |
| 2 | 2003 | 58 | |
| 3 | 2009 | 31 | |
| 4 | 2016 | 28 | |
| 5 | 2015 | 26 | |
| 6 | 2019 | 26 | |
| 7 | 2016 | 20 | |
| 8 | 2010 | 19 | |
| 9 | 2016 | 17 | |
| 10 | 2018 | 13 | |
| 11 | 2017 | 12 | |
| 12 | 2012 | 11 | |
| 13 | 2011 | 10 | |
| 14 | 2004 | 9 | |
| 15 | 2017 | 8 | |
| 16 | 2003 | 7 | |
| 17 | 2022 | 4 | |
| 18 | 2019 | 3 | |
| 19 | 2016 | 3 | |
| 20 | 2014 | 3 |
About Ayako Okamoto
Ayako Okamoto is a scholar working on Oncology, Molecular Biology, Physiology, Cellular and Molecular Neuroscience and Immunology, having authored 23 papers that have together received 407 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (6 papers), Studies on Chitinases and Chitosanases (3 papers), Pain Mechanisms and Treatments (3 papers), Fungal and yeast genetics research (2 papers), Immune Cell Function and Interaction (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Bone health and treatments (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Biotechnology (41 citations), Immunology (82 citations), Organic Chemistry (94 citations), Oncology (86 citations) and Periodontics (14 citations). Ayako Okamoto has collaborated with scholars based in Japan, Slovakia and Hong Kong. Frequent co-authors include Tomoko Satoh, Tomomi Kawasaki, Michio Takeuchi, Ken-Ichi Kusumoto, Hiroto Morita, Hiroki Ishida, Daichi Chikazu, Tomomitsu Hotta, Masao Hagihara and Akiko Tanabe. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Applied Microbiology and Biotechnology, Scientific Reports, Cornea and Tetrahedron.
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.