Daisuke Sunaga

428 citations
18 papers · 353 · h-index 9

Impact in

Papers in

Daisuke Sunaga

15 papers receiving 347 citations

Peers

Daisuke Sunaga
Comparison fields: 5 of 73
  • Developmental Neuroscience 27
  • Pathology and Forensic Medicine 113
  • Cardiology and Cardiovascular Medicine 109
  • Emergency Medicine 45
  • Molecular Biology 147
Replace Kadambari Chandra Shekar with:
Kadambari Chandra Shekar United States
Judit Pipis Hungary
А. V. Mukhomedzyanov Russia
Janusz Korecki Poland
Marie Vognstoft Hjortbak Denmark
Hung Cao-Danh United States
Behnaz Mokhtari Iran
Kirsten M. Smeele Netherlands
Shuchun Yu China
Zhaofang Yin China
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Citations per field
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Kadambari Chandra Shekar · 1×
Citations per year

Countries citing papers authored by Daisuke Sunaga

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Sunaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2012129
2 201260
3 201242
4 201430
5 201526
6 201219
7 201715
8 201912
9 20188
10 20174
11 20182
12 20032
13 20241
14 20241
15 20131
16 20141
17 20210
18 20220

About Daisuke Sunaga

Daisuke Sunaga is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 353 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (6 papers), Coronary Interventions and Diagnostics (5 papers), Cardiovascular Function and Risk Factors (4 papers), Cardiac Imaging and Diagnostics (4 papers), Peripheral Artery Disease Management (4 papers), ATP Synthase and ATPases Research (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Developmental Neuroscience (27 citations), Pathology and Forensic Medicine (113 citations), Cardiology and Cardiovascular Medicine (109 citations), Emergency Medicine (45 citations) and Molecular Biology (147 citations). Daisuke Sunaga has collaborated with scholars based in Japan. Frequent co-authors include Takayuki Miki, Tetsuji Miura, Takahito Itoh, Atsushi Kuno, Masaya Tanno, Satoko Ishikawa, Hidemichi Kouzu, Tatsuya Sato, Toshiyuki Yano and Makoto Ogasawara. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, PLoS ONE, Journal of Vascular Surgery, Clinical Cardiology and European Heart Journal.

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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