Shinsuke Yuasa

9.2k total citations
199 papers, 4.6k citations indexed

About

Shinsuke Yuasa is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Shinsuke Yuasa has authored 199 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 85 papers in Cardiology and Cardiovascular Medicine and 46 papers in Surgery. Recurrent topics in Shinsuke Yuasa's work include Pluripotent Stem Cells Research (39 papers), Tissue Engineering and Regenerative Medicine (23 papers) and Congenital heart defects research (20 papers). Shinsuke Yuasa is often cited by papers focused on Pluripotent Stem Cells Research (39 papers), Tissue Engineering and Regenerative Medicine (23 papers) and Congenital heart defects research (20 papers). Shinsuke Yuasa collaborates with scholars based in Japan, United States and Germany. Shinsuke Yuasa's co-authors include Keiichi Fukuda, Tomohisa Seki, Dai Kusumoto, Hisayuki Hashimoto, Shugo Tohyama, Fumiyuki Hattori, Toru Egashira, Motoaki Sano, Hiroyuki Yamakawa and Satoshi Ogawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Shinsuke Yuasa

173 papers receiving 4.5k citations

Peers

Shinsuke Yuasa
Terence E. Ryan United States
Paul B. Rosenberg United States
Rajesh Katare New Zealand
Todd J. Cohen United States
Stephen M. Sims Canada
Nanette H. Bishopric United States
Carsten Skurk Germany
Joachim Weil Germany
Susumu Ishida Japan
Hiroshi Masuda Japan
Terence E. Ryan United States
Shinsuke Yuasa
Citations per year, relative to Shinsuke Yuasa Shinsuke Yuasa (= 1×) peers Terence E. Ryan

Countries citing papers authored by Shinsuke Yuasa

Since Specialization
Citations

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

Fields of papers citing papers by Shinsuke Yuasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinsuke Yuasa

This figure shows the co-authorship network connecting the top 25 collaborators of Shinsuke Yuasa. A scholar is included among the top collaborators of Shinsuke Yuasa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shinsuke Yuasa. Shinsuke Yuasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nakashima, M, Toru Miyoshi, Takahiro Nishihara, et al.. (2025). Prognostic Value of Pericoronary Fat Attenuation Index on Computed Tomography for Hospitalization for Heart Failure. JACC Advances. 4(5). 101685–101685. 1 indexed citations
2.
Nakashima, M, Norihisa Toh, Kentaro Ejiri, et al.. (2025). Impact of Iron Deficiency in Adults With Fontan Circulation. Canadian Journal of Cardiology.
3.
Nakashima, M, Toru Miyoshi, Takahiro Nishihara, et al.. (2025). Photon-Counting CT Enhances Diagnostic Accuracy in Stable Coronary Artery Disease: A Comparative Study with Conventional CT. Journal of Clinical Medicine. 14(17). 6049–6049.
4.
Morita, Hiroshi, Satoshi Nagase, Yoshihisa Morimoto, et al.. (2025). Aging of the tricuspid valve annulus detected by photon-counting detector computed tomography: Importance of aortic root compression on occurrence of arrhythmias. Heart Rhythm. 22(9). e772–e780. 1 indexed citations
5.
Nakashima, M, Teiji Akagi, Takashi Miki, et al.. (2025). Challenging case of transcatheter patent foramen ovale closure: pitfall by hidden crescent-shaped atrial septal defect. Cardiovascular Intervention and Therapeutics. 40(3). 727–728.
6.
Nakamura, Kazufumi, Nobuhiro Nishii, Masakazu Miyamoto, et al.. (2024). Efficacy of Ivabradine in Preventing Inappropriate Shock due to Sinus Tachycardia in a Patient with Cardiac Sarcoidosis. International Heart Journal. 65(6). 1167–1171. 1 indexed citations
7.
8.
Nakashima, M, Takashi Miki, Rie Nakayama, et al.. (2024). Crescent-Shaped Atrial Septal Defect. JACC Asia. 4(12). 1013–1016. 2 indexed citations
9.
Nishihara, Takahiro, Toru Miyoshi, Kentaro Ejiri, et al.. (2024). Evaluating Pericoronary Adipose Tissue Attenuation to Predict Cardiovascular Events. JACC Asia. 5(1). 1–11. 1 indexed citations
10.
Kitakata, Hiroki, Takashi Kohno, Shun Hashimoto, et al.. (2024). Post-Discharge Self-Care Confidence and Performance Levels in Patients Hospitalized due to Heart Failure. Journal of Cardiac Failure. 31(8). 1103–1114. 1 indexed citations
11.
Kusumoto, Dai, et al.. (2023). Machine learning in cardiology: Clinical application and basic research. Journal of Cardiology. 82(2). 128–133. 13 indexed citations
12.
Lachmann, Mark, Daniel Rueckert, Tibor Schuster, et al.. (2022). Harnessing feature extraction capacities from a pre-trained convolutional neural network (VGG-16) for the unsupervised distinction of aortic outflow velocity profiles in patients with severe aortic stenosis. European Heart Journal - Digital Health. 3(2). 153–168. 9 indexed citations
13.
Seki, Tomohisa, Dai Kusumoto, Hisayuki Hashimoto, et al.. (2022). Development of non-bias phenotypic drug screening for cardiomyocyte hypertrophy by image segmentation using deep learning. Biochemical and Biophysical Research Communications. 632. 181–188. 5 indexed citations
14.
Umei, Tomohiko, Yasuyuki Shiraishi, Hikaru Tsuruta, et al.. (2021). Transcatheter Mitral Valve Repair Effective and Safe for Refractory Eclipsed Mitral Regurgitation-Induced Cardiogenic Shock: A Case Report. Circulation Cardiovascular Imaging. 14(7). e012641–e012641.
15.
Hirata, Takumi, Yasumichi Arai, Shinsuke Yuasa, et al.. (2020). Associations of cardiovascular biomarkers and plasma albumin with exceptional survival to the highest ages. Nature Communications. 11(1). 3820–3820. 82 indexed citations
16.
Nishiyama, Takahiko, Seiji Takatsuki, Takashi Kawakami, et al.. (2018). Improvement in the electrocardiograms associated with right ventricular hypertrophy after balloon pulmonary angioplasty in chronic thromboembolic pulmonary hypertension. IJC Heart & Vasculature. 19. 75–82. 19 indexed citations
17.
Ohno, Yohei, Shinsuke Yuasa, Toru Egashira, et al.. (2013). Distinct iPS Cells Show Different Cardiac Differentiation Efficiency. Stem Cells International. 2013. 1–11. 13 indexed citations
18.
Kinoshita, Masayoshi, Takashi Ariizumi, Shinsuke Yuasa, et al.. (2010). Creating frog heart as an organ: in vitro-induced heart functions as a circulatory organ in vivo. The International Journal of Developmental Biology. 54(5). 851–856. 8 indexed citations
19.
20.
Yada, Hirotaka, Mitsushige Murata, Kouji Shimoda, et al.. (2007). Dominant Negative Suppression of Rad Leads to QT Prolongation and Causes Ventricular Arrhythmias via Modulation of L-type Ca 2+ Channels in the Heart. Circulation Research. 101(1). 69–77. 62 indexed citations

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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