Shu Kasama

2.9k total citations
103 papers, 2.2k citations indexed

About

Shu Kasama is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Shu Kasama has authored 103 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Cardiology and Cardiovascular Medicine, 41 papers in Radiology, Nuclear Medicine and Imaging and 28 papers in Surgery. Recurrent topics in Shu Kasama's work include Cardiac Imaging and Diagnostics (39 papers), Cardiovascular Function and Risk Factors (29 papers) and Cardiac electrophysiology and arrhythmias (20 papers). Shu Kasama is often cited by papers focused on Cardiac Imaging and Diagnostics (39 papers), Cardiovascular Function and Risk Factors (29 papers) and Cardiac electrophysiology and arrhythmias (20 papers). Shu Kasama collaborates with scholars based in Japan, United States and Poland. Shu Kasama's co-authors include Masahiko Kurabayashi, Shûichi Ichikawa, Hisao Kumakura, Takuji Toyama, Yoshiaki Takayama, Tadashi Suzuki, Hiroyuki Sumino, Yoshihiro Araki, Hiroyoshi Kanai and Tsugiyasu Kanda and has published in prestigious journals such as Journal of the American College of Cardiology, CHEST Journal and European Heart Journal.

In The Last Decade

Shu Kasama

97 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shu Kasama Japan 26 1.3k 723 364 338 284 103 2.2k
Kerstin Jensen‐Urstad Sweden 26 1.2k 0.9× 267 0.4× 241 0.7× 318 0.9× 166 0.6× 42 2.3k
Katsu Takenaka Japan 27 2.0k 1.5× 576 0.8× 475 1.3× 590 1.7× 77 0.3× 96 2.8k
Jennifer Johns Australia 19 1.7k 1.3× 404 0.6× 550 1.5× 337 1.0× 238 0.8× 40 2.6k
Taishiro Chikamori Japan 24 1.9k 1.5× 860 1.2× 616 1.7× 394 1.2× 149 0.5× 154 2.8k
Per Løgstrup Poulsen Denmark 29 1.1k 0.8× 456 0.6× 508 1.4× 173 0.5× 886 3.1× 127 2.6k
Marta Focardi Italy 31 2.5k 1.9× 838 1.2× 591 1.6× 371 1.1× 101 0.4× 124 3.2k
Maria J. Eriksson Sweden 28 2.0k 1.5× 210 0.3× 496 1.4× 754 2.2× 239 0.8× 92 2.9k
Hisashi Masugata Japan 25 781 0.6× 360 0.5× 338 0.9× 213 0.6× 136 0.5× 120 1.8k
Justin A. Mariani Australia 25 2.0k 1.5× 298 0.4× 310 0.9× 164 0.5× 124 0.4× 93 2.6k
Satoshi Yuda Japan 26 2.2k 1.7× 1.1k 1.5× 371 1.0× 188 0.6× 186 0.7× 93 2.7k

Countries citing papers authored by Shu Kasama

Since Specialization
Citations

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

Fields of papers citing papers by Shu Kasama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Kasama

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Kasama. A scholar is included among the top collaborators of Shu Kasama 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 Shu Kasama. Shu Kasama 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.
Makino, Hisashi, Cheol Son, Kunihiro Nishimura, et al.. (2024). Comparison of canagliflozin and teneligliptin on energy intake and body weight in Japanese patients with Type 2 diabetes: a subanalysis of the CANTABILE study. BMC Endocrine Disorders. 24(1). 153–153.
2.
Tanaka, Masashi, Hajime Yamakage, Hisashi Kato, et al.. (2023). Novel pathological implications of serum uric acid with cardiovascular disease risk in obesity. Diabetes Research and Clinical Practice. 205. 110919–110919. 4 indexed citations
4.
Koga, Yasuhiko, Shu Kasama, Kyoichi Kaira, et al.. (2022). The Relationship between Tumor Development and Sarcoidosis in Aspects of Carcinogenesis before and after the Onset of Sarcoidosis. Medicina. 58(6). 768–768. 3 indexed citations
7.
Shibuya, Kei, Shu Kasama, Ryuichi Funada, Hiroyuki Katoh, & Yoshito Tsushima. (2019). Kounis syndrome induced by contrast media: A case report and review of literature. European Journal of Radiology Open. 6. 91–96. 18 indexed citations
8.
Kasama, Shu, Takuji Toyama, & Masahiko Kurabayashi. (2017). Comparative effects of long and short-acting loop diuretics on mortality in patients with chronic heart failure. International Journal of Cardiology. 244. 242–244. 3 indexed citations
9.
Kasama, Shu, et al.. (2017). A type of anteroseptal left ventricular ballooning in a patient with Takotsubo cardiomyopathy. Netherlands Heart Journal. 26(2). 104–105. 1 indexed citations
11.
Kasama, Shu, et al.. (2015). Myocardial scintigraphic evidence of Kounis syndrome: what is the aetiology of acute coronary syndrome?. European Heart Journal. 37(14). 1157–1157. 19 indexed citations
12.
Nakata, Tomoaki, Kenichi Nakajima, Shohei Yamashina, et al.. (2013). A Pooled Analysis of Multicenter Cohort Studies of 123I-mIBG Imaging of Sympathetic Innervation for Assessment of Long-Term Prognosis in Heart Failure. JACC. Cardiovascular imaging. 6(7). 772–784. 153 indexed citations
13.
Kasama, Shu, Takashi Hatori, Yoshihiro Araki, et al.. (2007). PJ-672 Torasemide Treatment Improves Sympathetic Nerve Activity and Prevents Left Ventricular Remodeling in Heart Failure Patients : Comparison with Furosemide plus Spironolactone Treatment(Nuclear cardiology-7, The 71st Annual Scientific Meeting of the Japanese Circulation Society). Japanese Circulation Journal-english Edition. 71. 639.
15.
Kasama, Shu, Takuji Toyama, Hiroyuki Sumino, et al.. (2007). Long-Term Nicorandil Therapy Improves Cardiac Sympathetic Nerve Activity After Reperfusion Therapy in Patients with First Acute Myocardial Infarction. Journal of Nuclear Medicine. 48(10). 1676–1682. 21 indexed citations
16.
Kasama, Shu, Takuji Toyama, Takashi Hatori, et al.. (2007). Effects of Intravenous Atrial Natriuretic Peptide on Cardiac Sympathetic Nerve Activity and Left Ventricular Remodeling in Patients With First Anterior Acute Myocardial Infarction. Journal of the American College of Cardiology. 49(6). 667–674. 60 indexed citations
18.
Kasama, Shu, Takuji Toyama, Hisao Kumakura, et al.. (2005). Effects of perindopril on cardiac sympathetic nerve activity in patients with congestive heart failure: comparison with enalapril. European Journal of Nuclear Medicine and Molecular Imaging. 32(8). 964–971. 36 indexed citations
19.
Kasama, Shu, Hiroyoshi Kanai, Toshio Ito, et al.. (2003). Myocardial Contractile Reserve on Dobutamine Stress Tc-99m-Tetrofosmin QGS Predicts Late Spontaneous Improvement in Cardiac Function in Patients with Dilated Cardiomyopathy. Japanese Circulation Journal-english Edition. 67. 579. 1 indexed citations
20.
Kasama, Shu, Takuji Toyama, Hisao Kumakura, et al.. (2003). Effect of spironolactone on cardiacsympathetic nerve activity and left ventricular remodeling in patients with dilated cardiomyopathy. Journal of the American College of Cardiology. 41(4). 574–581. 85 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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