Shunichiro Miyoshi
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Genetics top 2%
- Biomaterials top 5%
- Co-authors
- Satoshi OgawaKeiichi FukudaNobuhiro NishiyamaHideo MitamuraAkihiro UmezawaKojiro TanimotoKaoru SegawaNaoko Hida
- Topics
- Cardiac electrophysiology and arrhythmias (29 papers)Cardiac Arrhythmias and Treatments (22 papers)Tissue Engineering and Regenerative Medicine (12 papers)
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Shunichiro Miyoshi
71 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 883
- Cardiology and Cardiovascular Medicine 828
- Surgery 655
- Genetics 432
- Biomaterials 290
Countries citing papers authored by Shunichiro Miyoshi
This map shows the geographic impact of Shunichiro Miyoshi'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 Shunichiro Miyoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunichiro Miyoshi more than expected).
Fields of papers citing papers by Shunichiro Miyoshi
This network shows the impact of papers produced by Shunichiro Miyoshi. 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 Shunichiro Miyoshi. The network helps show where Shunichiro Miyoshi may publish in the future.
Co-authorship network of co-authors of Shunichiro Miyoshi
This figure shows the co-authorship network connecting the top 25 collaborators of Shunichiro Miyoshi. A scholar is included among the top collaborators of Shunichiro Miyoshi 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 Shunichiro Miyoshi. Shunichiro Miyoshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 10 | |
| 3 | 14 | |
| 4 | 14 | |
| 5 | 9 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 19 | |
| 10 | 2 | |
| 11 | 22 | |
| 12 | 23 | |
| 13 | 86 | |
| 14 | 158 | |
| 15 | Human Menstrual Blood is a Potential Cell Source for Cardiac Stem Cell Therapy(Vascular Regeneration (M), The 69th Annual Scientific Meeting of the Japanese Circulation Society) | 2 |
| 16 | 85 | |
| 17 | 45 | |
| 18 | 19 | |
| 19 | 25 | |
| 20 | 22 |
About Shunichiro Miyoshi
Shunichiro Miyoshi is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Biomaterials, having authored 71 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (29 papers), Cardiac Arrhythmias and Treatments (22 papers) and Tissue Engineering and Regenerative Medicine (12 papers). The work is most often cited by research in Genetics (432 citations), Cardiology and Cardiovascular Medicine (828 citations) and Biomaterials (290 citations). Shunichiro Miyoshi has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Satoshi Ogawa, Keiichi Fukuda, Nobuhiro Nishiyama, Hideo Mitamura, Akihiro Umezawa, Kojiro Tanimoto, Kaoru Segawa, Naoko Hida, Yukinori Ikegami and Kenji Miyado. Their work appears in journals such as Circulation, Nature Medicine and Journal of the American College of Cardiology.
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.