Dai Yamanouchi
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- Aortic aneurysm repair treatments 23
- Aortic Disease and Treatment Approaches 14
- Vascular Procedures and Complications 5
- Surgery top 10%
- Infectious Aortic and Vascular Conditions 8
- Coronary Interventions and Diagnostics 6
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- Cardiac, Anesthesia and Surgical Outcomes 10
- Clinical Biochemistry top 10%
- Biomaterials top 10%
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- Macrophage Migration Inhibitory Factor 7
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- TGF-β signaling in diseases 5
- Co-authors
- Bo LiuK. Craig KentShirling TsaiKaori KatoJon S. MatsumuraKimihiro KomoriJun WuChih‐Chang Chu
- Journals
- Journal of Biological Chemistry (1 paper)Circulation (1 paper)SHILAP Revista de lepidopterología (3 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Dai Yamanouchi
59 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 108
- Pulmonary and Respiratory Medicine 628
- Surgery 509
- Cardiology and Cardiovascular Medicine 241
- Clinical Biochemistry 65
- Biomaterials 125
Countries citing papers authored by Dai Yamanouchi
This map shows the geographic impact of Dai Yamanouchi'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 Dai Yamanouchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Yamanouchi more than expected).
Fields of papers citing papers by Dai Yamanouchi
This network shows the impact of papers produced by Dai Yamanouchi. 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 Dai Yamanouchi. The network helps show where Dai Yamanouchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dai Yamanouchi, 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 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 6 | |
| 8 | 2013 | 8 | |
| 9 | 2013 | 15 | |
| 10 | 2013 | 91 | |
| 11 | 2013 | 29 | |
| 12 | 2011 | 1 | |
| 13 | 2011 | 1 | |
| 14 | 2010 | 28 | |
| 15 | 2009 | 126 | |
| 16 | 2009 | 23 | |
| 17 | 2009 | 52 | |
| 18 | 2008 | 107 | |
| 19 | 2005 | 44 | |
| 20 | 2004 | 29 |
About Dai Yamanouchi
Dai Yamanouchi is a scholar working on Pulmonary and Respiratory Medicine, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (23 papers), Aortic Disease and Treatment Approaches (14 papers), Cardiac, Anesthesia and Surgical Outcomes (10 papers), Infectious Aortic and Vascular Conditions (8 papers), Macrophage Migration Inhibitory Factor (7 papers), Coronary Interventions and Diagnostics (6 papers), TGF-β signaling in diseases (5 papers) and Vascular Procedures and Complications (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (628 citations), Surgery (509 citations) and Cardiology and Cardiovascular Medicine (241 citations). Dai Yamanouchi has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Bo Liu, K. Craig Kent, Shirling Tsai, Kaori Kato, Jon S. Matsumura, Kimihiro Komori, Jun Wu, Chih‐Chang Chu, Fan Zhang and Justin Lengfeld. Their work appears in journals such as Journal of Biological Chemistry, Circulation and SHILAP Revista de lepidopterología.
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.