Atsushi Hirayama

9.9k total citations · 1 hit paper
354 papers, 6.0k citations indexed

About

Atsushi Hirayama is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Atsushi Hirayama has authored 354 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 237 papers in Cardiology and Cardiovascular Medicine, 142 papers in Surgery and 83 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Atsushi Hirayama's work include Atrial Fibrillation Management and Outcomes (106 papers), Cardiac Arrhythmias and Treatments (82 papers) and Cardiac Imaging and Diagnostics (79 papers). Atsushi Hirayama is often cited by papers focused on Atrial Fibrillation Management and Outcomes (106 papers), Cardiac Arrhythmias and Treatments (82 papers) and Cardiac Imaging and Diagnostics (79 papers). Atsushi Hirayama collaborates with scholars based in Japan, United States and United Kingdom. Atsushi Hirayama's co-authors include Kazuhisa Kodama, Yasunori Ueda, Tadateru Takayama, Shigemasa Tani, Ken Nagao, Yasuo Okumura, Masatsugu Hori, Masanori Asakura, Toshiko Nakai and Ichiro Watanabe and has published in prestigious journals such as New England Journal of Medicine, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Atsushi Hirayama

338 papers receiving 5.8k citations

Hit Papers

align trajectories

What are hit papers?

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.

Antithrombotic Therapy for Atrial Fibrillation with Stable Coronary Disease

2019 297 citations Satoshi Yasuda, Koichi Kaikita et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Atsushi Hirayama Japan	39	3.4k	2.6k	1.6k	907	503	354	6.0k
Kiyoshi Hibi Japan	38	2.8k 0.8×	2.3k 0.9×	1.6k 1.0×	788 0.9×	767 1.5×	267	4.7k
Germano Di Sciascio Italy	37	4.1k 1.2×	3.2k 1.2×	833 0.5×	665 0.7×	354 0.7×	151	5.8k
Kenichi Tsujita Japan	38	2.9k 0.9×	1.9k 0.7×	1.7k 1.1×	836 0.9×	299 0.6×	435	5.8k
K. Martijn Akkerhuis Netherlands	34	3.0k 0.9×	1.7k 0.7×	1.3k 0.8×	458 0.5×	422 0.8×	134	4.8k
Jacek Kubica Poland	35	3.1k 0.9×	2.6k 1.0×	658 0.4×	406 0.4×	569 1.1×	319	5.1k
Willibald Hochholzer Germany	34	5.4k 1.6×	2.2k 0.9×	1.4k 0.9×	483 0.5×	530 1.1×	103	6.2k
Carlos Macaya Spain	38	4.9k 1.4×	3.7k 1.4×	1.8k 1.2×	1.4k 1.5×	262 0.5×	231	6.4k
Giuseppe Patti Italy	40	5.4k 1.6×	3.6k 1.4×	1.0k 0.7×	690 0.8×	387 0.8×	293	7.6k
Ori Ben‐Yehuda United States	39	4.1k 1.2×	2.8k 1.1×	2.2k 1.4×	1.2k 1.4×	167 0.3×	189	5.8k
Steven P. Marso United States	40	4.8k 1.4×	5.0k 1.9×	3.1k 2.0×	1.8k 2.0×	519 1.0×	106	7.9k

Countries citing papers authored by Atsushi Hirayama

Since Specialization

Citations

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

Fields of papers citing papers by Atsushi Hirayama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Hirayama

This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Hirayama. A scholar is included among the top collaborators of Atsushi Hirayama 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 Atsushi Hirayama. Atsushi Hirayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Suzuki, Shinya, Takeshi Yamashita, Masaharu Akao, et al.. (2024). Patient Outcomes in Very Elderly Patients With Non-Valvular Atrial Fibrillation　― ANAFIE Registry ―. Circulation Reports. 6(8). 283–293. 1 indexed citations

Terauchi, Yasuo, Hiroshi Inoue, Takeshi Yamashita, et al.. (2023). Impact of glycated hemoglobin on 2-year clinical outcomes in elderly patients with atrial fibrillation: sub-analysis of ANAFIE Registry, a large observational study. Cardiovascular Diabetology. 22(1). 175–175. 3 indexed citations

Iijima, Raisuke, Masato Nakamura, Satoshi Yasuda, et al.. (2023). Thrombocytopenia as a Bleeding Risk Factor in Atrial Fibrillation and Coronary Artery Disease: Insights From the AFIRE Study. Journal of the American Heart Association. 12(20). e031096–e031096. 3 indexed citations

Yasuoka, Hironao, et al.. (2023). Immediate Angioscopic Investigation After Cerebral Artery Thrombectomy Revealed Aortogenic Cerebral Infarction. SHILAP Revista de lepidopterología. 3(3). e000708–e000708. 2 indexed citations

Yamashita, Takeshi, Masaharu Akao, Hirotsugu Atarashi, et al.. (2023). Causes of Death in Elderly Patients With Non-Valvular Atrial Fibrillation　― Results From the ANAFIE Registry ―. Circulation Journal. 87(7). 957–963. 5 indexed citations

Fukuda, Ikuo, Atsushi Hirayama, Kazuo Kawasugi, et al.. (2023). Safety Profile and Effectiveness of Rivaroxaban for Patients With Venous Thromboembolism in Japan　― Results From Post-Marketing Surveillance (XASSENT) ―. Circulation Journal. 87(9). 1175–1184. 2 indexed citations

Kario, Kazuomi, Naoyuki Hasebe, Ken Okumura, et al.. (2022). Home Blood Pressure Can Predict the Risk for Stroke/Bleeding Events in Elderly Patients With Nonvalvular Atrial Fibrillation From the ANAFIE Registry. Hypertension. 79(12). 2696–2705. 7 indexed citations

Kaikita, Koichi, Satoshi Yasuda, Masaharu Akao, et al.. (2021). Bleeding and Subsequent Cardiovascular Events and Death in Atrial Fibrillation With Stable Coronary Artery Disease: Insights From the AFIRE Trial. Circulation Cardiovascular Interventions. 14(11). e010476–e010476. 23 indexed citations

Fukaya, Hidehira, Junya Ako, Satoshi Yasuda, et al.. (2021). Aspirin versus P2Y₁₂ inhibitors with anticoagulation therapy for atrial fibrillation. Heart. 107(21). 1731–1738. 5 indexed citations

10.

Miura, Shin‐ichiro, Atsushi Hirayama, Chisato Izumi, et al.. (2021). Comparison of clinical outcomes between patients with pulseless-ventricular tachycardia and ventricular fibrillation in out-of-hospital cardiac arrest. Resuscitation Plus. 6. 100107–100107. 4 indexed citations

11.

Sotomi, Yohei, et al.. (2019). P3471Anti-inflammatory effects of direct oral anticoagulants in patients with non-valvular atrial fibrillation: insights from 2216 patients in the DIRECT registry. European Heart Journal. 40(Supplement_1).

12.

Watanabe, Makoto, Yoshihiko Saito, Kazutaka Aonuma, et al.. (2015). Prediction of contrast-induced nephropathy by the serum creatinine level on the day following cardiac catheterization. Journal of Cardiology. 68(5). 412–418. 9 indexed citations

13.

Kogawa, Rikitake, Yasuo Okumura, Ichiro Watanabe, et al.. (2014). Spatial and temporal variability of the complex fractionated atrial electrogram activity and dominant frequency in human atrial fibrillation. Journal of Arrhythmia. 31(2). 101–107. 8 indexed citations

14.

Sonoda, Kazumasa, Ichiro Watanabe, Yasuo Okumura, et al.. (2013). Monophasic action potential duration alternans after abrupt shortening of the cardiac cycle in humans. SHILAP Revista de lepidopterología. 30(3). 204–207. 1 indexed citations

15.

Yoda, Shunichi, et al.. (2013). Diagnostic value of automated quantification of nuclear cardiology in Japanese patients with single vessel coronary artery disease: Comparison between Japanese and American normal databases. Journal of Cardiology. 62(4). 224–229. 11 indexed citations

16.

Yoda, Shunichi, Yuji Kasamaki, Satoshi Kunimoto, et al.. (2012). Risk stratification of cardiovascular events in patients at all stages of chronic kidney disease using myocardial perfusion SPECT. Journal of Cardiology. 60(5). 377–382. 27 indexed citations

17.

Kasamaki, Yuji, Yukio Ozawa, Akira Sezai, et al.. (2011). Automated versus Manual Measurement of the QT Interval and Corrected QT Interval. Annals of Noninvasive Electrocardiology. 16(2). 156–164. 29 indexed citations

18.

Sezai, Akira, Mitsumasa Hata, Tetsuya Niino, et al.. (2011). Results of Low-Dose Human Atrial Natriuretic Peptide Infusion in Nondialysis Patients With Chronic Kidney Disease Undergoing Coronary Artery Bypass Grafting. Journal of the American College of Cardiology. 58(9). 897–903. 79 indexed citations

19.

Yui, Yoshiki, Tetsuya Sumiyoshi, Kazuhisa Kodama, et al.. (2002). Long-term Effects of Nifedipine Retard vs ACE Inhibitors in Hypertension with Coronary Artery Disease : Final Reports of J-MIC(B). Japanese Circulation Journal-english Edition. 66. 357. 1 indexed citations

20.

Sakata, Yasuhiko, Kazuhisa Kodama, Masafumi Kitakaze, et al.. (1997). Different Mechanisms of Ischemic Adaptation to Repeated Coronary Occlusion in Patients With and Without Recruitable Collateral Circulation. Journal of the American College of Cardiology. 30(7). 1679–1686. 29 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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