Shinya Fujii
- Music top 1%
- Diverse Music Education Insights 7
- Cognitive Neuroscience top 5%
- Neuroscience and Music Perception 32
- Motor Control and Adaptation 15
- Hearing Loss and Rehabilitation 5
- Developmental Biology top 10%
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- Music Technology and Sound Studies 12
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- Music and Audio Processing 7
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- Muscle activation and electromyography studies 6
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- Action Observation and Synchronization 5
- Co-authors
- Shingo OdaGottfried SchlaugKazutoshi KudoCatherine Y. WanTatsuyuki OhtsukiJoyce L. ChenMasaya HirashimaToshio Moritani
- Journals
- Frontiers in Human Neuroscience (4 papers)Scientific Reports (3 papers)Frontiers in Psychology (3 papers)
- Partner nations
- JapanCanadaUnited States
In The Last Decade
Shinya Fujii
65 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 113
- Music 122
- Cognitive Neuroscience 625
- Physical Therapy, Sports Therapy and Rehabilitation 51
- Experimental and Cognitive Psychology 138
- Developmental Biology 22
Countries citing papers authored by Shinya Fujii
This map shows the geographic impact of Shinya Fujii'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 Shinya Fujii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinya Fujii more than expected).
Fields of papers citing papers by Shinya Fujii
This network shows the impact of papers produced by Shinya Fujii. 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 Shinya Fujii. The network helps show where Shinya Fujii may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shinya Fujii, 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 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 6 | |
| 10 | 2020 | 3 | |
| 11 | 2020 | 22 | |
| 12 | 2020 | 6 | |
| 13 | 2020 | 11 | |
| 14 | 2019 | 46 | |
| 15 | 2017 | 21 | |
| 16 | 2016 | 30 | |
| 17 | 2016 | 33 | |
| 18 | 2011 | 14 | |
| 19 | 2011 | 2 | |
| 20 | The prognostic value of C-reactive protein and Troponin T level in patient's with acute coronary syndrome | 2002 | 1 |
About Shinya Fujii
Shinya Fujii is a scholar working on Music, Cognitive Neuroscience, Computational Mathematics, Developmental Biology and Biological Psychiatry, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Music Perception (32 papers), Motor Control and Adaptation (15 papers), Music Technology and Sound Studies (12 papers), Music and Audio Processing (7 papers), Diverse Music Education Insights (7 papers), Muscle activation and electromyography studies (6 papers), Action Observation and Synchronization (5 papers) and Hearing Loss and Rehabilitation (5 papers). The work is most often cited by research in Music (122 citations), Cognitive Neuroscience (625 citations), Physical Therapy, Sports Therapy and Rehabilitation (51 citations), Experimental and Cognitive Psychology (138 citations) and Developmental Biology (22 citations). Shinya Fujii has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Shingo Oda, Gottfried Schlaug, Kazutoshi Kudo, Catherine Y. Wan, Tatsuyuki Ohtsuki, Joyce L. Chen, Masaya Hirashima, Toshio Moritani, Masahiro Shinya and Michael Lazarus. Their work appears in journals such as Frontiers in Human Neuroscience, Scientific Reports, Frontiers in Psychology, Japanese Journal of Applied Physics and Frontiers in Neuroscience.
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.