Yasushi Sakata

22.1k citations
625 papers · 10.1k indexed · 1 hit paper · h-index 48

Yasushi Sakata

567 papers receiving 9.8k citations

Hit Papers

Bcl-2-like protein 13 is a mammalian Atg32 homologue that...3902015202620182022100200300

Peers

Yasushi Sakata
Comparison fields: 5 of 158
  • Cardiology and Cardiovascular Medicine 4.6k
  • Behavioral Neuroscience 359
  • Pulmonary and Respiratory Medicine 1.5k
  • Surgery 2.0k
  • Endocrinology, Diabetes and Metabolism 693
Replace Christoph Bode with:
Christoph Bode Germany
Stefan Frantz Germany
Stephan B. Felix Germany
Leong L. Ng United Kingdom
Anthony M. Dart Australia
Ken‐ichi Hirata Japan
Hiroyuki Morita Japan
Richard W. Troughton New Zealand
Adelino Leite‐Moreira Portugal
Claudia Monaco United Kingdom
Yasushi Sakata relative to Christoph Bode Germany Christoph Bode's profile →
Citations per field
00.5×3.8×
Christoph Bode · 1×
Citations per year

Countries citing papers authored by Yasushi Sakata

Since Specialization
Citations

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

Fields of papers citing papers by Yasushi Sakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20241
5 20241
6 20241
7 20241
8 20241
9 20230
10 202315
11 20230
12 20232
13 20236
14 20233
15 20235
16 20194
17 20187
18 2017131
19 20174
20 200840

About Yasushi Sakata

Yasushi Sakata is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Pulmonary and Respiratory Medicine, having authored 625 papers that have together received 10.1k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (129 papers), Heart Failure Treatment and Management (97 papers), Atrial Fibrillation Management and Outcomes (79 papers), Cardiac Arrhythmias and Treatments (67 papers), Cardiac Valve Diseases and Treatments (57 papers), Coronary Interventions and Diagnostics (53 papers), Cardiac pacing and defibrillation studies (52 papers) and Cardiac Imaging and Diagnostics (52 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.6k citations), Behavioral Neuroscience (359 citations) and Pulmonary and Respiratory Medicine (1.5k citations). Yasushi Sakata has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tomohito Ohtani, Toshiaki Mano, Kazuhiro Yamamoto, Masatsugu Hori, Tohru Masuyama, Yoshiki Sawa, Naotoshi Murakami, Issei Komuro, Akio Morimoto and Takeshi Miwa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

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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