Shin’ichi Takeda
- Genetics top 0.2%
- Virus-based gene therapy research 42
- Neurogenetic and Muscular Disorders Research 28
- Molecular Biology top 0.2%
- Muscle Physiology and Disorders 233
- RNA Interference and Gene Delivery 29
- Aging top 0.5%
- Rehabilitation top 0.2%
- Physiology top 0.5%
- Adipose Tissue and Metabolism 31
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- Tissue Engineering and Regenerative Medicine 53
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- Cardiomyopathy and Myosin Studies 24
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- Genetic Neurodegenerative Diseases 23
- Co-authors
- Yuko Miyagoe‐SuzukiAkiyoshi UezumiSo‐ichiro FukadaAkinori NakamuraKunihiro TsuchidaYoshitsugu AokiNaoki YamamotoKatsutoshi Yuasa
- Cited by
- GeneticsMolecular BiologyAging
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Shin’ichi Takeda
417 papers receiving 17.3k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Genetics 2.5k
- Molecular Biology 12.6k
- Aging 315
- Rehabilitation 1.1k
- Physiology 2.9k
Countries citing papers authored by Shin’ichi Takeda
This map shows the geographic impact of Shin’ichi Takeda'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 Shin’ichi Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin’ichi Takeda more than expected).
Fields of papers citing papers by Shin’ichi Takeda
This network shows the impact of papers produced by Shin’ichi Takeda. 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 Shin’ichi Takeda. The network helps show where Shin’ichi Takeda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shin’ichi Takeda, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2021 | 4 | |
| 4 | Duchenne muscular dystrophybreakdown → | 2021 | 708 |
| 5 | 2019 | 28 | |
| 6 | 2017 | 6 | |
| 7 | 2016 | 36 | |
| 8 | Recent advances in innovative therapeutic approaches for Duchenne muscular dystrophy: from discovery to clinical trials. | 2016 | 70 |
| 9 | 2014 | 69 | |
| 10 | 2009 | 151 | |
| 11 | 2009 | 1 | |
| 12 | 2008 | 61 | |
| 13 | 2008 | 1 | |
| 14 | Cerebral blood flow, oxygen consumption and glucose utilization in humans:a stereotaxic correlation studied with PET and SPM | 2007 | 2 |
| 15 | 2007 | 152 | |
| 16 | 2004 | 11 | |
| 17 | 2002 | 19 | |
| 18 | 1998 | 50 | |
| 19 | 1997 | 222 | |
| 20 | Two distinct types of crescentic glomerulonephritis. | 1992 | 10 |
About Shin’ichi Takeda
Shin’ichi Takeda is a scholar working on Genetics, Molecular Biology and Nephrology, having authored 427 papers that have together received 17.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (233 papers), Tissue Engineering and Regenerative Medicine (53 papers), Virus-based gene therapy research (42 papers), Adipose Tissue and Metabolism (31 papers), RNA Interference and Gene Delivery (29 papers), Neurogenetic and Muscular Disorders Research (28 papers), Cardiomyopathy and Myosin Studies (24 papers) and Genetic Neurodegenerative Diseases (23 papers). The work is most often cited by research in Genetics (2.5k citations), Molecular Biology (12.6k citations) and Aging (315 citations). Shin’ichi Takeda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Yuko Miyagoe‐Suzuki, Akiyoshi Uezumi, So‐ichiro Fukada, Akinori Nakamura, Kunihiro Tsuchida, Yoshitsugu Aoki, Naoki Yamamoto, Katsutoshi Yuasa, Hiroshi Yamamoto and Toshifumi Yokota.
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.