Takanari Inoue
- Sensory Systems top 0.5%
- Cell Biology top 0.5%
- Cellular transport and secretion 17
- Microtubule and mitosis dynamics 14
- Cellular Mechanics and Interactions 12
- Molecular Biology top 2%
- Protein Kinase Regulation and GTPase Signaling 10
- Ion channel regulation and function 9
- Hedgehog Signaling Pathway Studies 8
- Lipid Membrane Structure and Behavior 8
- Biophysics top 1%
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- Genetic and Kidney Cyst Diseases 11
- Co-authors
- Tobias MeyerWon Do HeoThomas J. WandlessMarc FivazRobert DeRoseJen LiouTakafumi MiyamotoBertil Hille
- Journals
- Science (2 papers)Cell (2 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Takanari Inoue
79 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Sensory Systems 534
- Cell Biology 1.7k
- Molecular Biology 3.9k
- Cellular and Molecular Neuroscience 1.0k
- Biophysics 300
Countries citing papers authored by Takanari Inoue
This map shows the geographic impact of Takanari Inoue'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 Takanari Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takanari Inoue more than expected).
Fields of papers citing papers by Takanari Inoue
This network shows the impact of papers produced by Takanari Inoue. 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 Takanari Inoue. The network helps show where Takanari Inoue may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takanari Inoue, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 33 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 11 | |
| 9 | 2019 | 23 | |
| 10 | 2019 | 62 | |
| 11 | 2017 | 106 | |
| 12 | 2017 | 260 | |
| 13 | 2015 | 82 | |
| 14 | 2014 | 6 | |
| 15 | 2013 | 107 | |
| 16 | 2012 | 6 | |
| 17 | 2008 | 95 | |
| 18 | 2008 | 96 | |
| 19 | PI(3,4,5)P 3 and PI(4,5)P 2 Lipids Target Proteins with Polybasic Clusters to the Plasma Membranebreakdown → | 2006 | 632 |
| 20 | 2001 | 21 |
About Takanari Inoue
Takanari Inoue is a scholar working on Cell Biology, Biophysics and Molecular Biology, having authored 81 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (17 papers), Microtubule and mitosis dynamics (14 papers), Cellular Mechanics and Interactions (12 papers), Genetic and Kidney Cyst Diseases (11 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Ion channel regulation and function (9 papers), Hedgehog Signaling Pathway Studies (8 papers) and Lipid Membrane Structure and Behavior (8 papers). The work is most often cited by research in Sensory Systems (534 citations), Cell Biology (1.7k citations) and Molecular Biology (3.9k citations). Takanari Inoue has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Tobias Meyer, Won Do Heo, Thomas J. Wandless, Marc Fivaz, Robert DeRose, Jen Liou, Takafumi Miyamoto, Bertil Hille, Byung‐Chang Suh and Siew Cheng Phua. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.