Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Mechanical stress activates angiotensin II type 1 receptor without the involvement of angiotensin II
2004509 citationsKoichi Tamura, Satoshi Umemura et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Satoshi Umemura
Since
Specialization
Citations
This map shows the geographic impact of Satoshi Umemura'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 Satoshi Umemura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Umemura more than expected).
This network shows the impact of papers produced by Satoshi Umemura. 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 Satoshi Umemura. The network helps show where Satoshi Umemura may publish in the future.
Co-authorship network of co-authors of Satoshi Umemura
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Umemura.
A scholar is included among the top collaborators of Satoshi Umemura 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 Satoshi Umemura. Satoshi Umemura is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Okada, Kozo, Kazuo Kimura, Noriaki Iwahashi, et al.. (2011). Abstract 12204: Long-Term Effect of Ezetimibe-Plus-Statin vs Double-Dose Statin on Low-Density Lipoprotein Cholesterol Lowering in Coronary Artery Disease Patients Pre-Treated with a Statin; Focus on Cholesterol Absorption and Synthesis. Circulation. 124.1 indexed citations
Ebina, Toshiaki, Kazuo Kimura, & Satoshi Umemura. (2010). [Calcium antagonists: current and future applications based on new evidence. Calcium channel blockers and JSH2009].. PubMed. 20(1). 16–22.2 indexed citations
9.
Hashiba, Katsutaka, Jun Okuda, Masami Kosuge, et al.. (2009). PJ-683 Left Atrial Strain Rate Imaging can be Useful for the Evaluation of Thromboembolic Risk in Patients with Paroxysmal Atrial Fibrillation(PJ115,Thromboembolism/Antithrombotic Therapy/Thrombolysis (IHD),Poster Session (Japanese),The 73rd Annual Scientific Meeting of The Japanese Circulation Society). Japanese Circulation Journal-english Edition. 73. 718.2 indexed citations
Kiyokuni, Masayoshi, Masami Kosuge, Toshiaki Ebina, et al.. (2009). Effects of Pretreatment With Statins on Infarct Size in Patients With Acute Myocardial Infarction Who Receive Fibrinolytic Therapy(Ischemic Heart Disease). Japanese Circulation Journal-english Edition. 73(2). 330–335.2 indexed citations
Kosuge, Masami, Kazuo Kimura, Toshiyuki Ishikawa, et al.. (2006). Prognostic Significance of Inverted T Waves in Patients With Acute Pulmonary Embolism(Clinical Investigation). Japanese Circulation Journal-english Edition. 70(6). 750–755.2 indexed citations
16.
Ishikawa, Toshiyuki, Kazuaki Uchino, Satoshi Umemura, et al.. (2005). Left Atrial Tachycardia Post Pulmonary Veins Isolation : Individual PV Isolation vs Combination of PV Isolation and Left Atrial Linear Ablation(Arrhythmia, Non-pharmacological Therapy 2 (A), The 69th Annual Scientific Meeting of the Japanese Circulation Society). Japanese Circulation Journal-english Edition. 69. 154.1 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.