Katsutoshi Yuasa
- Molecular Biology top 5%
- Genetics top 5%
- Surgery top 10%
- Physiology top 10%
- Genetics top 5%
- Co-authors
- Shin’ichi TakedaTakao HijikataAkinori NakamuraYuko Miyagoe‐SuzukiM YoshimuraMiki SakamotoHiroshi YamamotoYoshiki Shimatsu
- Topics
- Muscle Physiology and Disorders (22 papers)Virus-based gene therapy research (10 papers)Tissue Engineering and Regenerative Medicine (4 papers)
- Cited by
- GeneticsMolecular Biology
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Katsutoshi Yuasa
34 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 1.3k
- Genetics 529
- Surgery 300
- Physiology 221
- Genetics 201
Countries citing papers authored by Katsutoshi Yuasa
This map shows the geographic impact of Katsutoshi Yuasa'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 Katsutoshi Yuasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsutoshi Yuasa more than expected).
Fields of papers citing papers by Katsutoshi Yuasa
This network shows the impact of papers produced by Katsutoshi Yuasa. 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 Katsutoshi Yuasa. The network helps show where Katsutoshi Yuasa may publish in the future.
Co-authorship network of co-authors of Katsutoshi Yuasa
This figure shows the co-authorship network connecting the top 25 collaborators of Katsutoshi Yuasa. A scholar is included among the top collaborators of Katsutoshi Yuasa 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 Katsutoshi Yuasa. Katsutoshi Yuasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 21 | |
| 3 | 33 | |
| 4 | 8 | |
| 5 | 153 | |
| 6 | 70 | |
| 7 | 70 | |
| 8 | 82 | |
| 9 | 47 | |
| 10 | Major clinical and histopathological characteristics of canine X-linked muscular dystrophy in Japan, CXMDJ. | 68 |
| 11 | 91 | |
| 12 | 104 | |
| 13 | 89 | |
| 14 | 64 | |
| 15 | 47 | |
| 16 | 29 | |
| 17 | 24 | |
| 18 | 3 | |
| 19 | [Introduction of rod-deleted dystrophin cDNA, delta DysM3, into mdx skeletal muscle using adenovirus vector]. | 10 |
| 20 | 9 |
About Katsutoshi Yuasa
Katsutoshi Yuasa is a scholar working on Molecular Biology, Genetics and Rehabilitation, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (22 papers), Virus-based gene therapy research (10 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Genetics (529 citations), Genetics (201 citations) and Molecular Biology (1.3k citations). Katsutoshi Yuasa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shin’ichi Takeda, Takao Hijikata, Akinori Nakamura, Yuko Miyagoe‐Suzuki, M Yoshimura, Miki Sakamoto, Hiroshi Yamamoto, Yoshiki Shimatsu, Nobuyuki Urasawa and Yasuko Hagiwara. Their work appears in journals such as Circulation, The Journal of Cell Biology and Scientific Reports.
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.