Takahide Matsui
- Physiology top 2%
- Calcium signaling and nucleotide metabolism 7
- Erythrocyte Function and Pathophysiology 3
- Cell Biology top 2%
- Cellular transport and secretion 18
- Epidemiology top 5%
- Autophagy in Disease and Therapy 8
- Molecular Biology top 10%
- Retinal Development and Disorders 7
- Extracellular vesicles in disease 3
- Lipid Membrane Structure and Behavior 3
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- Pancreatic function and diabetes 3
- Co-authors
- Mitsunori FukudaNoboru MizushimaHayashi YamamotoYuriko SakamakiTomoaki IshiharaYutaro HamaTakeshi KaizukaTohru Mizushima
- Cited by
- PhysiologyCell BiologyEpidemiology
- Journals
- Journal of Biological Chemistry (4 papers)The Journal of Cell Biology (2 papers)Molecular Cell (1 paper)
- Partner nations
- JapanUnited StatesIsrael
In The Last Decade
Takahide Matsui
25 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Physiology 190
- Cell Biology 575
- Epidemiology 566
- Molecular Biology 701
- Cancer Research 111
Countries citing papers authored by Takahide Matsui
This map shows the geographic impact of Takahide Matsui'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 Takahide Matsui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takahide Matsui more than expected).
Fields of papers citing papers by Takahide Matsui
This network shows the impact of papers produced by Takahide Matsui. 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 Takahide Matsui. The network helps show where Takahide Matsui may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takahide Matsui, 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 | 2024 | 2 | |
| 2 | 2023 | 2 | |
| 3 | Molecular Mechanisms of Macroautophagy, Microautophagy, and Chaperone-Mediated Autophagybreakdown → | 2023 | 79 |
| 4 | 2023 | 7 | |
| 5 | 2023 | 12 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 31 | |
| 8 | 2021 | 4 | |
| 9 | The Effect of Fuel Composition on Knock in Lean Burn SI Engine | 2018 | 1 |
| 10 | An Autophagic Flux Probe that Releases an Internal Controlbreakdown → | 2016 | 405 |
| 11 | 2014 | 8 | |
| 12 | 2013 | 17 | |
| 13 | 2013 | 41 | |
| 14 | 2013 | 4 | |
| 15 | 2012 | 66 | |
| 16 | 2012 | 47 | |
| 17 | 2011 | 81 | |
| 18 | 2011 | 21 | |
| 19 | 2010 | 92 | |
| 20 | 2010 | 25 |
About Takahide Matsui
Takahide Matsui is a scholar working on Physiology, Cell Biology and Epidemiology, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cellular transport and secretion (18 papers), Autophagy in Disease and Therapy (8 papers), Retinal Development and Disorders (7 papers), Calcium signaling and nucleotide metabolism (7 papers), Extracellular vesicles in disease (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Physiology (190 citations), Cell Biology (575 citations) and Epidemiology (566 citations). Takahide Matsui has collaborated with scholars based in Japan, United States and Israel. Frequent co-authors include Mitsunori Fukuda, Noboru Mizushima, Hayashi Yamamoto, Yuriko Sakamaki, Tomoaki Ishihara, Yutaro Hama, Takeshi Kaizuka, Tohru Mizushima, Satoshi Tsukamoto and Y. Toyota. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Molecular Cell.
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.