Yukihiro Saito
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- Cardiovascular Function and Risk Factors 4
- Cardiac electrophysiology and arrhythmias 3
- Cardiac Valve Diseases and Treatments 3
- Nephrology top 10%
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- Pluripotent Stem Cells Research 10
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- Pulmonary Hypertension Research and Treatments 5
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- Neuroscience and Neural Engineering 5
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- Tissue Engineering and Regenerative Medicine 3
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- Connective tissue disorders research 3
Yukihiro Saito
40 papers receiving 633 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Cardiology and Cardiovascular Medicine 286
- Nephrology 45
- Endocrinology, Diabetes and Metabolism 72
- Molecular Biology 268
- Pulmonary and Respiratory Medicine 98
Countries citing papers authored by Yukihiro Saito
This map shows the geographic impact of Yukihiro Saito'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 Yukihiro Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukihiro Saito more than expected).
Fields of papers citing papers by Yukihiro Saito
This network shows the impact of papers produced by Yukihiro Saito. 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 Yukihiro Saito. The network helps show where Yukihiro Saito may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yukihiro Saito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 4 | |
| 5 | Pathophysiology and Treatment of Diabetic Cardiomyopathy and Heart Failure in Patients with Diabetes Mellitusbreakdown → | 2022 | 155 |
| 6 | 2022 | 20 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 37 | |
| 9 | 2018 | 17 | |
| 10 | 2017 | 3 | |
| 11 | 2017 | 24 | |
| 12 | 2017 | 10 | |
| 13 | 2017 | 22 | |
| 14 | 2015 | 19 | |
| 15 | 2015 | 33 | |
| 16 | 2014 | 10 | |
| 17 | 2012 | 3 | |
| 18 | 2010 | 38 | |
| 19 | Walking Distance and Grazing Time of Holstein and Brown-Swiss Cows Grazing on Temperate Pasture | 2009 | 1 |
| 20 | 1989 | 2 |
About Yukihiro Saito
Yukihiro Saito is a scholar working on Cardiology and Cardiovascular Medicine, Biophysics and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 638 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (10 papers), Neuroscience and Neural Engineering (5 papers), Pulmonary Hypertension Research and Treatments (5 papers), Cardiovascular Function and Risk Factors (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Connective tissue disorders research (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Cardiac Valve Diseases and Treatments (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (286 citations), Nephrology (45 citations) and Endocrinology, Diabetes and Metabolism (72 citations). Yukihiro Saito has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Kazufumi Nakamura, Hiroshi Ito, Toru Miyoshi, Masashi Yoshida, Satoshi Akagi, Hiroshi Morita, Daiji Miura, Kentaro Ejiri, Keishi Ichikawa and Hiroki Sugiyama. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, PLoS ONE, Frontiers in Cardiovascular Medicine and Stem Cell Research & Therapy.
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.