Mayu Inaba
Impact in
- Aging top 5%
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Hippo pathway signaling and YAP/TAZ
- Cellular Mechanics and Interactions
Papers in
- Cell Biology 14
- Microtubule and mitosis dynamics 10
- Hippo pathway signaling and YAP/TAZ 4
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- Developmental Biology and Gene Regulation 13
- Pluripotent Stem Cells Research 3
- Genomics and Chromatin Dynamics 3
- Epigenetics and DNA Methylation 3
- Protist diversity and phylogeny 3
- Co-authors
- Yukiko M Yamashita (13 shared papers)Michael Buszczak (5 shared papers)Hebao Yuan (3 shared papers)Zsolt G. Venkei (2 shared papers)Margaret T. Fuller (1 shared paper)Jun Cheng (1 shared paper)Cuie Chen (1 shared paper)Shane O. Scoggin (1 shared paper)
- Journals
- PLoS ONE (3 papers)eLife (2 papers)Molecular Biology of the Cell (2 papers)Nature Communications (2 papers)Communications Biology (2 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Mayu Inaba
28 papers receiving 853 citations
Peers
Comparison fields: 5 of 79
- Aging 60
- Cell Biology 280
- Molecular Biology 616
- Cellular and Molecular Neuroscience 117
- Reproductive Medicine 36
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 159 | |
| 2 | 2010 | 117 | |
| 3 | 2012 | 116 | |
| 4 | 2018 | 76 | |
| 5 | 2014 | 74 | |
| 6 | 2015 | 52 | |
| 7 | 2016 | 52 | |
| 8 | 2011 | 42 | |
| 9 | 2013 | 26 | |
| 10 | 2016 | 26 | |
| 11 | 2012 | 25 | |
| 12 | 2016 | 14 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2024 | 6 | |
| 20 | 2022 | 4 |
About Mayu Inaba
Mayu Inaba is a scholar working on Cell Biology, Molecular Biology, Plant Science, Biomaterials and Cancer Research, having authored 29 papers that have together received 858 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (13 papers), Microtubule and mitosis dynamics (10 papers), Plant Molecular Biology Research (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Pluripotent Stem Cells Research (3 papers), Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (3 papers) and Protist diversity and phylogeny (3 papers). The work is most often cited by research in Aging (60 citations), Cell Biology (280 citations), Molecular Biology (616 citations), Cellular and Molecular Neuroscience (117 citations) and Reproductive Medicine (36 citations). Mayu Inaba has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Yukiko M Yamashita, Michael Buszczak, Hebao Yuan, Zsolt G. Venkei, Margaret T. Fuller, Jun Cheng, Cuie Chen, Shane O. Scoggin, Therese M. Roth and Ann E. Cowan. Their work appears in journals such as PLoS ONE, eLife, Molecular Biology of the Cell, Nature Communications and Communications Biology.
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.