Mamoru Miura
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Biochemistry top 2%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Hiroto MiuraDavid D. GuttermanTakashi SaitoGang NingFausto R. LoberizaRuth E. WachtelYan-Ping LiuTakanobu Shioya
- Topics
- Cardiac Ischemia and Reperfusion (12 papers)Cardiac Imaging and Diagnostics (10 papers)Cardiac electrophysiology and arrhythmias (8 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Mamoru Miura
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Physiology 539
- Cardiology and Cardiovascular Medicine 415
- Molecular Biology 239
- Biochemistry 212
- Pathology and Forensic Medicine 152
Countries citing papers authored by Mamoru Miura
This map shows the geographic impact of Mamoru Miura'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 Mamoru Miura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mamoru Miura more than expected).
Fields of papers citing papers by Mamoru Miura
This network shows the impact of papers produced by Mamoru Miura. 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 Mamoru Miura. The network helps show where Mamoru Miura may publish in the future.
Co-authorship network of co-authors of Mamoru Miura
This figure shows the co-authorship network connecting the top 25 collaborators of Mamoru Miura. A scholar is included among the top collaborators of Mamoru Miura 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 Mamoru Miura. Mamoru Miura 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 | 19 | |
| 3 | 18 | |
| 4 | 26 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 30 | |
| 8 | 17 | |
| 9 | 17 | |
| 10 | 7 | |
| 11 | 84 | |
| 12 | 4 | |
| 13 | 10 | |
| 14 | 4 | |
| 15 | THE EFFECT OF LONG-TERM NITRIC OXIDE SYNTHASE INHIBITION ON CORONARY VASCULATURE AND MYOCARDIUM IN RAT HEART : ACE INHIBITOR PREVENTS MICROVESSEL DISEASE INDUCED BY NITRIC OXIDE SYNTHASE INHIBITOR | 1 |
| 16 | 5 | |
| 17 | 5 | |
| 18 | Protective effect of lidocaine on the ischemic-reperfused rat heart: a phosphorus 31 nuclear magnetic resonance study. | 7 |
| 19 | 2 | |
| 20 | 1 |
About Mamoru Miura
Mamoru Miura is a scholar working on Biophysics, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (12 papers), Cardiac Imaging and Diagnostics (10 papers) and Cardiac electrophysiology and arrhythmias (8 papers). The work is most often cited by research in Biochemistry (212 citations), Physiology (539 citations) and Cardiology and Cardiovascular Medicine (415 citations). Mamoru Miura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroto Miura, David D. Gutterman, Takashi Saito, Gang Ning, Fausto R. Loberiza, Ruth E. Wachtel, Yan-Ping Liu, Takashi Saito, Takanobu Shioya and Alfred C. Nicolosi. Their work appears in journals such as Circulation, Circulation Research and Cardiovascular Research.
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.