Yasunori Ueda
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- Acute Myocardial Infarction Research 39
- Antiplatelet Therapy and Cardiovascular Diseases 12
- Atrial Fibrillation Management and Outcomes 10
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- Cardiac Imaging and Diagnostics 64
- Surgery top 1%
- Coronary Interventions and Diagnostics 81
- Lipoproteins and Cardiovascular Health 10
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- Cerebrovascular and Carotid Artery Diseases 23
- Aortic Thrombus and Embolism 9
- Internal Medicine top 5%
Yasunori Ueda
169 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 124
- Cardiology and Cardiovascular Medicine 1.5k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Surgery 2.1k
- Pulmonary and Respiratory Medicine 957
- Internal Medicine 89
Countries citing papers authored by Yasunori Ueda
This map shows the geographic impact of Yasunori Ueda'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 Yasunori Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasunori Ueda more than expected).
Fields of papers citing papers by Yasunori Ueda
This network shows the impact of papers produced by Yasunori Ueda. 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 Yasunori Ueda. The network helps show where Yasunori Ueda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasunori Ueda, 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 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 0 | |
| 8 | 2020 | 7 | |
| 9 | 2019 | 4 | |
| 10 | 2017 | 4 | |
| 11 | 2017 | 3 | |
| 12 | 2016 | 6 | |
| 13 | 2016 | 12 | |
| 14 | 2016 | 4 | |
| 15 | 2013 | 5 | |
| 16 | 6 Contribution of MDCT/SPECT Fusion Image to Decide Therapeutic Strategy(A New Horizon of Cardiac CT-Beyond Lumen Visualization-,Symposium 13 (SY-13) (IHD),The 73rd Annual Scientific Meeting of The Japanese Circulation Society) | 2009 | 1 |
| 17 | Biomarkers, single nucleotide polymorphisms and cardiovascular risk after acute myocardial infarction : observations from the Osaka Acute Coronary Insufficiency Study (OACIS) | 2009 | 1 |
| 18 | PE-267 Visualization of Lipids Deep in the Coronary Arterial Wall during CAG by Near-infrared Fluorescence Angioscopy(Atherosclerosis, clinical(06)(IHD),Poster Session(English),The 72nd Annual Scientific Meeting of the Japanese Circulation Society) | 2008 | 1 |
| 19 | Fluorescence based biochemical constituents identified the atherosclerotic plaque in vivo | 2002 | 1 |
| 20 | Continuous ECG monitoring on civil air crews during flight operations. | 1977 | 1 |
About Yasunori Ueda
Yasunori Ueda is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 179 papers that have together received 3.7k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (81 papers), Cardiac Imaging and Diagnostics (64 papers), Acute Myocardial Infarction Research (39 papers), Cerebrovascular and Carotid Artery Diseases (23 papers), Antiplatelet Therapy and Cardiovascular Diseases (12 papers), Lipoproteins and Cardiovascular Health (10 papers), Atrial Fibrillation Management and Outcomes (10 papers) and Aortic Thrombus and Embolism (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Surgery (2.1k citations). Yasunori Ueda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuhisa Kodama, Atsushi Hirayama, Masatsugu Hori, Masanori Asakura, Osamu Yamaguchi, Shinsuke Nanto, Takayoshi Adachi, Masataka Nakano, Renu Virmani and Seung‐Jung Park.
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.