Yu Sato

120 papers receiving 2.0k citations

Yu Sato's Hit Papers

Microthrombi as a Major Cause of Cardiac Injury in COVID-19 2021 · 178 citations
1780+1+3Years since publication50100150200

Peers

Yu Sato
Comparison fields: 5 of 130
  • Cardiology and Cardiovascular Medicine 438
  • Nephrology 113
  • Metals and Alloys 42
  • Infectious Diseases 242
  • Internal Medicine 39
Replace Shinji Kishimoto with:
Shinji Kishimoto Japan
Dietmar Glogar Austria
Tohru Hayashi Japan
W. Neal Roberts United States
H. J. Buhr Germany
Jan Piessens Belgium
Stephan H. Duda Germany
Hiroyuki Kawata Japan
Dierk Vorwerk Germany
Wayne Richenbacher United States
Yu Sato relative to Shinji Kishimoto Japan Shinji Kishimoto's profile →
Citations per field
00.5×7.8×
Shinji Kishimoto · 1×
Citations per year

Countries citing papers authored by Yu Sato

Since Specialization
Citations

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

Fields of papers citing papers by Yu Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Medial Arterial Calcification
Hit paper breakdown →
2021210
2 2019179
3
Microthrombi as a Major Cause of Cardiac Injury in COVID-19
Hit paper breakdown →
2021178
4 2021157
5 2020120
6 201562
7 201854
8 201949
9 199440
10 201938
11 202236
12 201836
13 202033
14 202330
15 201929
16 201926
17 200926
18 200226
19 202025
20 202023

About Yu Sato

Yu Sato is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 131 papers that have together received 2.0k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (26 papers), Cardiac Valve Diseases and Treatments (11 papers), Peripheral Artery Disease Management (9 papers), Cardiac Imaging and Diagnostics (8 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Electron and X-Ray Spectroscopy Techniques (6 papers), Surface and Thin Film Phenomena (5 papers) and Intracranial Aneurysms: Treatment and Complications (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (438 citations), Nephrology (113 citations), Metals and Alloys (42 citations), Infectious Diseases (242 citations) and Internal Medicine (39 citations). Yu Sato has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Renu Virmani, Aloke V. Finn, Atsushi Sakamoto, Anne Cornelissen, Rika Kawakami, Masayuki Mori, Maria Romero, Frank D. Kolodgie, Liang Guo and Kenji Kawai. Their work appears in journals such as Journal of the American College of Cardiology, JACC: Cardiovascular Interventions, EuroIntervention, Expert Review of Cardiovascular Therapy and Cardiovascular Intervention and Therapeutics.

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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