Hideyuki Takeuchi
- Neurology top 0.1%
- Neuroinflammation and Neurodegeneration Mechanisms 53
- Amyotrophic Lateral Sclerosis Research 18
- Parkinson's Disease Mechanisms and Treatments 11
- Biological Psychiatry top 0.5%
- Developmental Neuroscience top 0.5%
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 53
- Amyotrophic Lateral Sclerosis Research 18
- Parkinson's Disease Mechanisms and Treatments 11
- Immunology top 1%
- Immune Response and Inflammation 12
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- Alzheimer's disease research and treatments 15
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- Multiple Sclerosis Research Studies 14
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- Neuroscience and Neuropharmacology Research 14
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- Connexins and lens biology 10
- Co-authors
- Akio SuzumuraTetsuya MizunoJun KawanokuchiYoshifumi SonobeShijie JinReiko KunoBijay ParajuliJinyan Wang
- Partner nations
- JapanSlovakiaUnited States
In The Last Decade
Hideyuki Takeuchi
148 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Neurology 3.1k
- Biological Psychiatry 622
- Developmental Neuroscience 621
- Neurology 1.3k
- Immunology 1.7k
Countries citing papers authored by Hideyuki Takeuchi
This map shows the geographic impact of Hideyuki Takeuchi'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 Hideyuki Takeuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideyuki Takeuchi more than expected).
Fields of papers citing papers by Hideyuki Takeuchi
This network shows the impact of papers produced by Hideyuki Takeuchi. 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 Hideyuki Takeuchi. The network helps show where Hideyuki Takeuchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hideyuki Takeuchi, 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 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 11 | |
| 9 | 2020 | 10 | |
| 10 | 2018 | 66 | |
| 11 | 2017 | 54 | |
| 12 | 2016 | 80 | |
| 13 | 2012 | 2 | |
| 14 | 2011 | 123 | |
| 15 | 2010 | 47 | |
| 16 | 2010 | 123 | |
| 17 | 2008 | 22 | |
| 18 | 2007 | 1 | |
| 19 | 2007 | 3 | |
| 20 | 2001 | 229 |
About Hideyuki Takeuchi
Hideyuki Takeuchi is a scholar working on Neurology, Developmental Neuroscience, Neurology, Cellular and Molecular Neuroscience and Immunology, having authored 160 papers that have together received 7.7k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (53 papers), Amyotrophic Lateral Sclerosis Research (18 papers), Alzheimer's disease research and treatments (15 papers), Multiple Sclerosis Research Studies (14 papers), Neuroscience and Neuropharmacology Research (14 papers), Immune Response and Inflammation (12 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Connexins and lens biology (10 papers). The work is most often cited by research in Neurology (3.1k citations), Biological Psychiatry (622 citations), Developmental Neuroscience (621 citations), Neurology (1.3k citations) and Immunology (1.7k citations). Hideyuki Takeuchi has collaborated with scholars based in Japan, Slovakia and United States. Frequent co-authors include Akio Suzumura, Tetsuya Mizuno, Jun Kawanokuchi, Yoshifumi Sonobe, Shijie Jin, Reiko Kuno, Bijay Parajuli, Jinyan Wang, Yukiko Doi and Guiqin Zhang. Their work appears in journals such as Brain Research, PLoS ONE, Journal of Biological Chemistry, Journal of Neuroimmunology and Frontiers in 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.