Mayu Inaba
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
- Cellular Mechanics and Interactions
Papers in
-
- Developmental Biology and Gene Regulation 12
- Genomics and Chromatin Dynamics 3
- Epigenetics and DNA Methylation 3
- Protist diversity and phylogeny 3
- Pluripotent Stem Cells Research 3
- Cell Biology 13
- Microtubule and mitosis dynamics 9
- Hippo pathway signaling and YAP/TAZ 4
- Co-authors
- Yukiko Yamashita (13 shared papers)Michael Buszczak (5 shared papers)Hebao Yuan (3 shared papers)Margaret T. Fuller (1 shared paper)Zsolt Venkei (2 shared papers)Cuie Chen (1 shared paper)Jun Cheng (1 shared paper)Therese M. Roth (1 shared paper)
- Journals
- Nature Communications (2 papers)Molecular Biology of the Cell (2 papers)eLife (2 papers)PLoS ONE (2 papers)iScience (1 paper)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Mayu Inaba
22 papers receiving 709 citations
Peers
Comparison fields: 5 of 79
- Aging 58
- Cell Biology 264
- Molecular Biology 525
- Cellular and Molecular Neuroscience 102
- Structural Biology 6
Countries citing papers authored by Mayu Inaba
This map shows the geographic impact of Mayu Inaba'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 Mayu Inaba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayu Inaba more than expected).
Fields of papers citing papers by Mayu Inaba
This network shows the impact of papers produced by Mayu Inaba. 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 Mayu Inaba. The network helps show where Mayu Inaba may publish in the future.
Co-authors
The 24 scholars most cited alongside Mayu Inaba, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 141 | |
| 2 | 2012 | 112 | |
| 3 | 2010 | 109 | |
| 4 | 2018 | 67 | |
| 5 | 2016 | 49 | |
| 6 | 2015 | 47 | |
| 7 | 2011 | 37 | |
| 8 | 2016 | 25 | |
| 9 | 2013 | 23 | |
| 10 | 2012 | 22 | |
| 11 | 2016 | 13 | |
| 12 | 2020 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2016 | 10 | |
| 15 | 2020 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2017 | 9 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 2 | |
| 20 | 2016 | 1 |
About Mayu Inaba
Mayu Inaba is a scholar working on Molecular Biology, Cell Biology, Plant Science, Cellular and Molecular Neuroscience and Biomaterials, having authored 24 papers that have together received 712 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (12 papers), Microtubule and mitosis dynamics (9 papers), Plant Molecular Biology Research (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (3 papers), Protist diversity and phylogeny (3 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Aging (58 citations), Cell Biology (264 citations), Molecular Biology (525 citations), Cellular and Molecular Neuroscience (102 citations) and Structural Biology (6 citations). Mayu Inaba has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Yukiko Yamashita, Michael Buszczak, Hebao Yuan, Margaret T. Fuller, Zsolt Venkei, Cuie Chen, Jun Cheng, Therese M. Roth, Shane Scoggin and Ann E. Cowan. Their work appears in journals such as Nature Communications, Molecular Biology of the Cell, eLife, PLoS ONE and iScience.
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.