Shinzo Miyamoto

1.4k citations
50 papers · 1.1k indexed · h-index 22

Shinzo Miyamoto

50 papers receiving 1.1k citations

Peers

Shinzo Miyamoto
Comparison fields: 5 of 94
  • Cardiology and Cardiovascular Medicine 517
  • Internal Medicine 49
  • Endocrinology, Diabetes and Metabolism 131
  • Biochemistry 50
  • Biochemistry 40
Replace Pradyumna E. Tummala with:
Pradyumna E. Tummala United States
Hironobu Fukushima Japan
Davide D’Andrea Italy
Luís A. Providência Portugal
Takaatsu Kamada Japan
D.P. Mikhailidis United Kingdom
Evren Caglayan Germany
Toshiyuki Matsumura Japan
Nobuhiko Ogata Japan
H Sinzinger Austria
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Citations per field
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Pradyumna E. Tummala · 1×
Citations per year

Countries citing papers authored by Shinzo Miyamoto

Since Specialization
Citations

This map shows the geographic impact of Shinzo Miyamoto'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 Shinzo Miyamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinzo Miyamoto more than expected).

Fields of papers citing papers by Shinzo Miyamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shinzo Miyamoto. 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 Shinzo Miyamoto. The network helps show where Shinzo Miyamoto may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Shinzo Miyamoto, 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 Shinzo Miyamoto Line = papers co-authored together Shinzo Miyamoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20212
2 201712
3 20151
4 20143
5 20104
6 20089
7 20066
8
2 Preprocedural Small Platelet Aggregates Predict Restenosis After Percutaneous Coronary Intervention(Plenary Session 4 (PL4) (IHD) : Restenosis after PCI 2003 : New Therapies for the Next Generation)(Special Program)
20041
9 200432
10 200418
11 200433
12 200451
13 200342
14 20014
15 200139
16 200068
17 200011
18 200024
19 199991
20 19961

About Shinzo Miyamoto

Shinzo Miyamoto is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Surgery, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (11 papers), Coronary Interventions and Diagnostics (10 papers), Antiplatelet Therapy and Cardiovascular Diseases (9 papers), Cardiac Imaging and Diagnostics (8 papers), Venous Thromboembolism Diagnosis and Management (7 papers), Cardiovascular Disease and Adiposity (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Redox biology and oxidative stress (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (517 citations), Internal Medicine (49 citations) and Endocrinology, Diabetes and Metabolism (131 citations). Shinzo Miyamoto has collaborated with scholars based in Japan, United Kingdom and India. Frequent co-authors include Hisao Ogawa, Hirofumi Soejima, Michihiro Yoshimura, Tomohiro Sakamoto, Hiroaki Kawano, Jun Hokamaki, Seigo Sugiyama, Sunao Kojima, Hirofumi Yasue and Keiji Takazoe. Their work appears in journals such as The American Journal of Cardiology, Thrombosis Research, Heart and Vessels, Thrombosis and Haemostasis 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.

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