Shûichi Ichikawa
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- Cardiovascular Function and Risk Factors 19
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- Hormonal Regulation and Hypertension 23
- Menopause: Health Impacts and Treatments 17
- Hardware and Architecture top 5%
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- Cardiac Imaging and Diagnostics 15
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- Peripheral Artery Disease Management 22
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- Chaos-based Image/Signal Encryption 16
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- Cerebrovascular and Carotid Artery Diseases 15
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- Estrogen and related hormone effects 15
Shûichi Ichikawa
170 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 136
- Cardiology and Cardiovascular Medicine 1.2k
- Endocrinology, Diabetes and Metabolism 599
- Hardware and Architecture 182
- Radiology, Nuclear Medicine and Imaging 455
- Orthopedics and Sports Medicine 119
Countries citing papers authored by Shûichi Ichikawa
This map shows the geographic impact of Shûichi Ichikawa'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 Shûichi Ichikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shûichi Ichikawa more than expected).
Fields of papers citing papers by Shûichi Ichikawa
This network shows the impact of papers produced by Shûichi Ichikawa. 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 Shûichi Ichikawa. The network helps show where Shûichi Ichikawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shûichi Ichikawa, 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 | 2023 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2021 | 1 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 11 | |
| 7 | 2019 | 2 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 21 | |
| 10 | A Study on Effective Repetition of Bilateral Filter for Medical Images | 2019 | 1 |
| 11 | 2017 | 0 | |
| 12 | 2016 | 1 | |
| 13 | 2016 | 20 | |
| 14 | 2015 | 1 | |
| 15 | Single Frame Super Resolution using Reconstruction Method | 2014 | 0 |
| 16 | A Study on Optimal Parameter Estimation of Bilateral Filter Using Distribution Distance | 2014 | 0 |
| 17 | 2008 | 29 | |
| 18 | The Evaluation of Davidson's Digital Signature Scheme | 2004 | 5 |
| 19 | Myocardial Contractile Reserve on Dobutamine Stress Tc-99m-Tetrofosmin QGS Predicts Late Spontaneous Improvement in Cardiac Function in Patients with Dilated Cardiomyopathy | 2003 | 1 |
| 20 | Trade-offs in custom circuit designs for subgraph isomorphism problems | 2003 | 1 |
About Shûichi Ichikawa
Shûichi Ichikawa is a scholar working on Hardware and Architecture, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 193 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (23 papers), Peripheral Artery Disease Management (22 papers), Cardiovascular Function and Risk Factors (19 papers), Menopause: Health Impacts and Treatments (17 papers), Chaos-based Image/Signal Encryption (16 papers), Cardiac Imaging and Diagnostics (15 papers), Cerebrovascular and Carotid Artery Diseases (15 papers) and Estrogen and related hormone effects (15 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Endocrinology, Diabetes and Metabolism (599 citations) and Hardware and Architecture (182 citations). Shûichi Ichikawa has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Hisao Kumakura, Masahiko Kurabayashi, Shu Kasama, Hiroyuki Sumino, Yoshiaki Takayama, Takuji Toyama, Tadashi Suzuki, Tsugiyasu Kanda, Hiroyoshi Kanai and Toshiya Iwasaki.
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.