Tetsuya Akiyama
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research 19
- Neurological diseases and metabolism 2
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research 14
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research 19
- Neurological diseases and metabolism 2
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- Nerve injury and regeneration 2
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- Muscle Physiology and Disorders 3
- RNA Research and Splicing 3
- Pluripotent Stem Cells Research 2
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- Motor Control and Adaptation 2
- Co-authors
- Masashi AokiHitoshi WaritaNaoki SuzukiHideyuki OkanoMitsuru IshikawaKoki FujimoriRyoichi NakamuraHideyuki Saya
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Tetsuya Akiyama
26 papers receiving 656 citations
Peers
Comparison fields: 5 of 71
- Neurology 396
- Genetics 274
- Neurology 90
- Cellular and Molecular Neuroscience 128
- Developmental Neuroscience 27
Countries citing papers authored by Tetsuya Akiyama
This map shows the geographic impact of Tetsuya Akiyama'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 Akiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Akiyama more than expected).
Fields of papers citing papers by Tetsuya Akiyama
This network shows the impact of papers produced by Tetsuya Akiyama. 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 Akiyama. The network helps show where Tetsuya Akiyama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tetsuya Akiyama, 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 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 17 | |
| 4 | 2022 | 9 | |
| 5 | 2021 | 7 | |
| 6 | 2020 | 15 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 32 | |
| 9 | 2020 | 3 | |
| 10 | 2018 | 245 | |
| 11 | 2018 | 17 | |
| 12 | 2018 | 21 | |
| 13 | 2017 | 41 | |
| 14 | 2016 | 8 | |
| 15 | 2016 | 66 | |
| 16 | 2016 | 16 | |
| 17 | 2013 | 5 | |
| 18 | 2011 | 19 | |
| 19 | 2010 | 53 | |
| 20 | 2008 | 1 |
About Tetsuya Akiyama
Tetsuya Akiyama is a scholar working on Genetics, Neurology, Aging, Neurology and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 658 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (19 papers), Neurogenetic and Muscular Disorders Research (14 papers), Muscle Physiology and Disorders (3 papers), RNA Research and Splicing (3 papers), Motor Control and Adaptation (2 papers), Neurological diseases and metabolism (2 papers), Pluripotent Stem Cells Research (2 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Neurology (396 citations), Genetics (274 citations), Neurology (90 citations), Cellular and Molecular Neuroscience (128 citations) and Developmental Neuroscience (27 citations). Tetsuya Akiyama has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Masashi Aoki, Hitoshi Warita, Naoki Suzuki, Hideyuki Okano, Mitsuru Ishikawa, Koki Fujimori, Ryoichi Nakamura, Hideyuki Saya, Asako Otomo and Shinji Hadano. Their work appears in journals such as Cell Reports, Experimental Neurology, Nature Medicine, Molecular Therapy and iScience.
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.