Shin’ichi Takeda
- Molecular Biology top 0.2%
- Surgery top 0.5%
- Physiology top 0.5%
- Genetics top 0.2%
- Genetics top 0.5%
- Co-authors
- Yuko Miyagoe‐SuzukiAkiyoshi UezumiSo‐ichiro FukadaAkinori NakamuraKunihiro TsuchidaYoshitsugu AokiNaoki YamamotoKatsutoshi Yuasa
- Topics
- Muscle Physiology and Disorders (233 papers)Tissue Engineering and Regenerative Medicine (53 papers)Virus-based gene therapy research (42 papers)
- 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
- Molecular Biology 12.6k
- Surgery 3.4k
- Physiology 2.9k
- Genetics 2.5k
- Genetics 2.3k
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 of co-authors of Shin’ichi Takeda
This figure shows the co-authorship network connecting the top 25 collaborators of Shin’ichi Takeda. A scholar is included among the top collaborators of Shin’ichi Takeda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shin’ichi Takeda. Shin’ichi Takeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | Duchenne muscular dystrophybreakdown → | 708 |
| 5 | 28 | |
| 6 | 6 | |
| 7 | 36 | |
| 8 | Recent advances in innovative therapeutic approaches for Duchenne muscular dystrophy: from discovery to clinical trials. | 70 |
| 9 | 69 | |
| 10 | 151 | |
| 11 | 1 | |
| 12 | 61 | |
| 13 | 1 | |
| 14 | Cerebral blood flow, oxygen consumption and glucose utilization in humans:a stereotaxic correlation studied with PET and SPM | 2 |
| 15 | 152 | |
| 16 | 11 | |
| 17 | 19 | |
| 18 | 50 | |
| 19 | 222 | |
| 20 | Two distinct types of crescentic glomerulonephritis. | 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) and Virus-based gene therapy research (42 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. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.