Tetsuya Imura
- Developmental Neuroscience top 0.2%
- Neurogenesis and neuroplasticity mechanisms 13
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Barrier Structure and Function Studies 3
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- Nerve injury and regeneration 6
- Genetics top 5%
- Mesenchymal stem cell research 4
- Cancer Research top 5%
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- Drug Transport and Resistance Mechanisms 3
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- Amino Acid Enzymes and Metabolism 2
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- Wound Healing and Treatments 2
- Co-authors
- Michael V. SofroniewA. Denise R. GarciaToby G. BushNgan DoanHarley I. KornblumJingwei QiRose A. KorsakJulia Herrmann
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Tetsuya Imura
38 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Developmental Neuroscience 1.3k
- Neurology 740
- Cellular and Molecular Neuroscience 1.1k
- Genetics 315
- Cancer Research 353
Countries citing papers authored by Tetsuya Imura
This map shows the geographic impact of Tetsuya Imura'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 Tetsuya Imura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Imura more than expected).
Fields of papers citing papers by Tetsuya Imura
This network shows the impact of papers produced by Tetsuya Imura. 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 Tetsuya Imura. The network helps show where Tetsuya Imura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tetsuya Imura, 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 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2018 | 4 | |
| 5 | 2016 | 91 | |
| 6 | 2014 | 93 | |
| 7 | 2013 | 46 | |
| 8 | 2013 | 1 | |
| 9 | 2012 | 36 | |
| 10 | 2012 | 26 | |
| 11 | 2011 | 92 | |
| 12 | 2011 | 40 | |
| 13 | 2010 | 133 | |
| 14 | 2008 | 27 | |
| 15 | STAT3 is a Critical Regulator of Astrogliosis and Scar Formation after Spinal Cord Injurybreakdown → | 2008 | 738 |
| 16 | GFAP-expressing progenitors are the principal source of constitutive neurogenesis in adult mouse forebrainbreakdown → | 2004 | 770 |
| 17 | 2000 | 7 | |
| 18 | 2000 | 22 | |
| 19 | 1999 | 9 | |
| 20 | 1998 | 11 |
About Tetsuya Imura
Tetsuya Imura is a scholar working on Developmental Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Nerve injury and regeneration (6 papers), Mesenchymal stem cell research (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Barrier Structure and Function Studies (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Developmental Neuroscience (1.3k citations), Neurology (740 citations) and Cellular and Molecular Neuroscience (1.1k citations). Tetsuya Imura has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Michael V. Sofroniew, A. Denise R. Garcia, Toby G. Bush, Ngan Doan, Harley I. Kornblum, Jingwei Qi, Rose A. Korsak, Julia Herrmann, Kiyoshi Takeda and Yan Ao. Their work appears in journals such as Journal of Neuroscience, PLoS ONE, Pathology International, Glia and The Journal of Comparative Neurology.
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.