Takayoshi Matsuda
- Molecular Biology top 5%
- Geophysics top 2%
- Plant Science top 5%
- Epidemiology top 10%
- Rehabilitation top 2%
- Co-authors
- T. KigawaShigeyuki YokoyamaTakashi YabukiSeiya UyedaMarella HanumadassRichard S. FiskeAkiko TanakaSteven G. Wesnousky
- Topics
- RNA and protein synthesis mechanisms (13 papers)Wound Healing and Treatments (10 papers)Burn Injury Management and Outcomes (10 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Geophysical Research Atmospheres
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takayoshi Matsuda
79 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 151
- Molecular Biology 1.6k
- Geophysics 668
- Plant Science 612
- Epidemiology 386
- Rehabilitation 261
Countries citing papers authored by Takayoshi Matsuda
This map shows the geographic impact of Takayoshi Matsuda'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 Takayoshi Matsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takayoshi Matsuda more than expected).
Fields of papers citing papers by Takayoshi Matsuda
This network shows the impact of papers produced by Takayoshi Matsuda. 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 Takayoshi Matsuda. The network helps show where Takayoshi Matsuda may publish in the future.
Co-authorship network of co-authors of Takayoshi Matsuda
This figure shows the co-authorship network connecting the top 25 collaborators of Takayoshi Matsuda. A scholar is included among the top collaborators of Takayoshi Matsuda 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 Takayoshi Matsuda. Takayoshi Matsuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 27 | |
| 3 | 9 | |
| 4 | 16 | |
| 5 | 45 | |
| 6 | 53 | |
| 7 | 33 | |
| 8 | 4 | |
| 9 | 33 | |
| 10 | 73 | |
| 11 | 98 | |
| 12 | 65 | |
| 13 | Dispase/triton treated acellular dermal matrix as a dermal substitute in rats | 8 |
| 14 | 1 | |
| 15 | 38 | |
| 16 | 63 | |
| 17 | 48 | |
| 18 | 36 | |
| 19 | 19 | |
| 20 | 100 |
About Takayoshi Matsuda
Takayoshi Matsuda is a scholar working on Rehabilitation, Research and Theory and Emergency Medical Services, having authored 79 papers that have together received 3.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (13 papers), Wound Healing and Treatments (10 papers) and Burn Injury Management and Outcomes (10 papers). The work is most often cited by research in Geophysics (668 citations), Rehabilitation (261 citations) and Molecular Biology (1.6k citations). Takayoshi Matsuda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include T. Kigawa, Shigeyuki Yokoyama, Takashi Yabuki, Seiya Uyeda, Marella Hanumadass, Richard S. Fiske, Akiko Tanaka, Steven G. Wesnousky, Kazushi SHIMAZAKI and Mikako Shirouzu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Geophysical Research Atmospheres.
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.