Ayako Tonoki
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
- Hippo pathway signaling and YAP/TAZ
Papers in
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- Neurobiology and Insect Physiology Research 10
-
- Zebrafish Biomedical Research Applications 3
- Co-authors
- Masayuki Miura (7 shared papers)Erina Kuranaga (6 shared papers)Takeyasu Tomioka (3 shared papers)Ronald L. Davis (3 shared papers)Shigeo Murata (1 shared paper)Jun Hamazaki (1 shared paper)Keiji Tanaka (1 shared paper)Kiwamu Takemoto (3 shared papers)
- Journals
- Cell Reports (2 papers)Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Genes to Cells (2 papers)Neuroscience Research (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Ayako Tonoki
19 papers receiving 621 citations
Peers
Comparison fields: 5 of 76
- Aging 124
- Cell Biology 175
- Cellular and Molecular Neuroscience 178
- Endocrine and Autonomic Systems 43
- Immunology 116
Countries citing papers authored by Ayako Tonoki
This map shows the geographic impact of Ayako Tonoki'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 Tonoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayako Tonoki more than expected).
Fields of papers citing papers by Ayako Tonoki
This network shows the impact of papers produced by Ayako Tonoki. 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 Tonoki. The network helps show where Ayako Tonoki may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayako Tonoki, 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 | 2008 | 229 | |
| 2 | 2006 | 115 | |
| 3 | 2007 | 56 | |
| 4 | 2013 | 38 | |
| 5 | 2012 | 38 | |
| 6 | 2015 | 25 | |
| 7 | 2017 | 25 | |
| 8 | 2014 | 22 | |
| 9 | 2011 | 12 | |
| 10 | 2023 | 12 | |
| 11 | 2017 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2020 | 7 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2006 | 3 | |
| 19 | 2018 | 2 |
About Ayako Tonoki
Ayako Tonoki is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Immunology, Molecular Biology and Endocrine and Autonomic Systems, having authored 19 papers that have together received 623 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (10 papers), Invertebrate Immune Response Mechanisms (4 papers), Circadian rhythm and melatonin (4 papers), Zebrafish Biomedical Research Applications (3 papers), Cell death mechanisms and regulation (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Sleep and Wakefulness Research (2 papers) and Physiological and biochemical adaptations (2 papers). The work is most often cited by research in Aging (124 citations), Cell Biology (175 citations), Cellular and Molecular Neuroscience (178 citations), Endocrine and Autonomic Systems (43 citations) and Immunology (116 citations). Ayako Tonoki has collaborated with scholars based in Japan and United States. Frequent co-authors include Masayuki Miura, Erina Kuranaga, Takeyasu Tomioka, Ronald L. Davis, Shigeo Murata, Jun Hamazaki, Keiji Tanaka, Kiwamu Takemoto, Motoyuki Itoh and Hirotaka Kanuka. Their work appears in journals such as Cell Reports, Cell, Proceedings of the National Academy of Sciences, Genes to Cells and Neuroscience Research.
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.