Mamoru Miura

1.4k citations
45 papers · 1.1k indexed · h-index 13

Mamoru Miura

44 papers receiving 1.1k citations

Peers

Mamoru Miura
Comparison fields: 5 of 106
  • Biochemistry 212
  • Physiology 539
  • Cardiology and Cardiovascular Medicine 415
  • Pathology and Forensic Medicine 152
  • Endocrinology, Diabetes and Metabolism 131
Replace Toyotaka Yada with:
Toyotaka Yada Japan
Hidekazu Hashimoto Japan
Carl E. Hock United States
Hiromi Tasaki Japan
M Yokoyama Japan
Ivan Luptak United States
Robin Ray United Kingdom
Masami Goto Japan
C. Bossaller Germany
Jin-Jer Chen Taiwan
Mamoru Miura relative to Toyotaka Yada Japan Toyotaka Yada's profile →
Citations per field
00.5×1.6×
Toyotaka Yada · 1×
Citations per year

Countries citing papers authored by Mamoru Miura

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Mamoru Miura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mamoru Miura Line = papers co-authored together Mamoru Miura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20032
2 200319
3 200318
4 200226
5 20024
6 200210
7 200230
8 200117
9 200017
10 20007
11 200084
12 19984
13 199610
14 19964
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
19941
16 19935
17 19915
18
Protective effect of lidocaine on the ischemic-reperfused rat heart: a phosphorus 31 nuclear magnetic resonance study.
19917
19 19902
20 19891

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), Cardiac electrophysiology and arrhythmias (8 papers), Nitric Oxide and Endothelin Effects (7 papers), Respiratory and Cough-Related Research (6 papers), Asthma and respiratory diseases (5 papers), Electron Spin Resonance Studies (4 papers) and Ion channel regulation and function (4 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.

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