Rumiko Matsuoka
- Molecular Biology top 1%
- Epidemiology top 1%
- Cardiology and Cardiovascular Medicine top 1%
- Pulmonary and Respiratory Medicine top 2%
- Genetics top 1%
- Co-authors
- Kazuo MommaAtsuyoshi TakaoKunitaka JooYoshiyuki FurutaniMichiko FurutaniHisato YagiHiroyuki YamagishiDeepak Srivastava
- Topics
- Congenital heart defects research (43 papers)Congenital Heart Disease Studies (24 papers)Cardiomyopathy and Myosin Studies (22 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Rumiko Matsuoka
129 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 4.6k
- Epidemiology 1.8k
- Cardiology and Cardiovascular Medicine 1.6k
- Pulmonary and Respiratory Medicine 1.4k
- Genetics 1.2k
Countries citing papers authored by Rumiko Matsuoka
This map shows the geographic impact of Rumiko Matsuoka'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 Rumiko Matsuoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rumiko Matsuoka more than expected).
Fields of papers citing papers by Rumiko Matsuoka
This network shows the impact of papers produced by Rumiko Matsuoka. 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 Rumiko Matsuoka. The network helps show where Rumiko Matsuoka may publish in the future.
Co-authorship network of co-authors of Rumiko Matsuoka
This figure shows the co-authorship network connecting the top 25 collaborators of Rumiko Matsuoka. A scholar is included among the top collaborators of Rumiko Matsuoka 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 Rumiko Matsuoka. Rumiko Matsuoka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 14 | |
| 3 | 12 | |
| 4 | 14 | |
| 5 | 33 | |
| 6 | 91 | |
| 7 | 155 | |
| 8 | 24 | |
| 9 | 343 | |
| 10 | 11 | |
| 11 | 157 | |
| 12 | 20 | |
| 13 | 31 | |
| 14 | 34 | |
| 15 | 16 | |
| 16 | 41 | |
| 17 | CHANGES IN MYOSIN HEAVY CHAIN GENE EXPRESSION OF CULTURED AORTIC SMOOTH MUSCLE CELLS INDUCED BY CYCLIC MECHANICAL STRETCHING | 2 |
| 18 | 63 | |
| 19 | 382 | |
| 20 | 19 |
About Rumiko Matsuoka
Rumiko Matsuoka is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Developmental Neuroscience, having authored 130 papers that have together received 6.7k indexed citations. Recurring topics across this work include Congenital heart defects research (43 papers), Congenital Heart Disease Studies (24 papers) and Cardiomyopathy and Myosin Studies (22 papers). The work is most often cited by research in Developmental Neuroscience (371 citations), Cardiology and Cardiovascular Medicine (1.6k citations) and Molecular Biology (4.6k citations). Rumiko Matsuoka has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuo Momma, Atsuyoshi Takao, Kunitaka Joo, Yoshiyuki Furutani, Michiko Furutani, Hisato Yagi, Hiroyuki Yamagishi, Deepak Srivastava, Misa Kimura and Makoto Nakazawa. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.
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.