Mitsuo Tagaya
- Cell Biology top 0.2%
- Cellular transport and secretion 62
- Endoplasmic Reticulum Stress and Disease 26
- Microtubule and mitosis dynamics 10
- Molecular Biology top 2%
- Lipid Membrane Structure and Behavior 23
- Mitochondrial Function and Pathology 7
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- Neuroscience and Neuropharmacology Research 8
- Physiology top 1%
- Biochemistry top 2%
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- Enzyme Structure and Function 11
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- Autophagy in Disease and Therapy 8
- Co-authors
- Katsuko TaniKohei ArasakiAkitsugu YamamotoKiyotaka HatsuzawaMasami NagahamaToshio FukuiTakahiro FukuiYuichi Wakana
- Journals
- Journal of Biological Chemistry (23 papers)FEBS Letters (10 papers)Biochemical and Biophysical Research Communications (9 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Mitsuo Tagaya
120 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 105
- Cell Biology 2.2k
- Molecular Biology 3.3k
- Cellular and Molecular Neuroscience 844
- Physiology 206
- Biochemistry 180
Countries citing papers authored by Mitsuo Tagaya
This map shows the geographic impact of Mitsuo Tagaya'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 Mitsuo Tagaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuo Tagaya more than expected).
Fields of papers citing papers by Mitsuo Tagaya
This network shows the impact of papers produced by Mitsuo Tagaya. 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 Mitsuo Tagaya. The network helps show where Mitsuo Tagaya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mitsuo Tagaya, 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 | 2024 | 7 | |
| 3 | 2022 | 0 | |
| 4 | 2020 | 29 | |
| 5 | 2020 | 4 | |
| 6 | 2018 | 25 | |
| 7 | 2014 | 28 | |
| 8 | 2012 | 60 | |
| 9 | 2011 | 87 | |
| 10 | 2008 | 92 | |
| 11 | 2004 | 79 | |
| 12 | 2002 | 78 | |
| 13 | 2000 | 15 | |
| 14 | 1999 | 86 | |
| 15 | 1997 | 12 | |
| 16 | 1996 | 31 | |
| 17 | 1995 | 80 | |
| 18 | 1995 | 209 | |
| 19 | 1993 | 7 | |
| 20 | 1988 | 38 |
About Mitsuo Tagaya
Mitsuo Tagaya is a scholar working on Cell Biology, Endocrinology and Physiology, having authored 123 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (62 papers), Endoplasmic Reticulum Stress and Disease (26 papers), Lipid Membrane Structure and Behavior (23 papers), Enzyme Structure and Function (11 papers), Microtubule and mitosis dynamics (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Autophagy in Disease and Therapy (8 papers) and Mitochondrial Function and Pathology (7 papers). The work is most often cited by research in Cell Biology (2.2k citations), Molecular Biology (3.3k citations) and Cellular and Molecular Neuroscience (844 citations). Mitsuo Tagaya has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Katsuko Tani, Kohei Arasaki, Akitsugu Yamamoto, Kiyotaka Hatsuzawa, Masami Nagahama, Toshio Fukui, Takahiro Fukui, Yuichi Wakana, Hiroki Inoue and Graham L. Collingridge. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, Biochemical and Biophysical Research Communications, Journal of Cell Science and The Journal of Cell 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.