Hironori Uzuka

469 total citations
14 papers, 303 citations indexed

About

Hironori Uzuka is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hironori Uzuka has authored 14 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 9 papers in Surgery and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hironori Uzuka's work include Coronary Interventions and Diagnostics (5 papers), Cardiac Imaging and Diagnostics (5 papers) and Cardiovascular Disease and Adiposity (4 papers). Hironori Uzuka is often cited by papers focused on Coronary Interventions and Diagnostics (5 papers), Cardiac Imaging and Diagnostics (5 papers) and Cardiovascular Disease and Adiposity (4 papers). Hironori Uzuka collaborates with scholars based in Japan, United States and United Kingdom. Hironori Uzuka's co-authors include Hiroaki Shimokawa, Kensuke Nishimiya, Yasuharu Matsumoto, Jun Takahashi, Kazuma Ohyama, Ryuji Tsuburaya, Kiyotaka Hao, Satoshi Miyata, Kenta Ito and Hideki Ota and has published in prestigious journals such as Journal of the American College of Cardiology, European Heart Journal and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Hironori Uzuka

14 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hironori Uzuka Japan 10 219 168 140 68 28 14 303
Kazuma Ohyama Japan 8 215 1.0× 157 0.9× 148 1.1× 53 0.8× 33 1.2× 26 301
Hachidai Takahashi Japan 10 171 0.8× 193 1.1× 90 0.6× 78 1.1× 13 0.5× 20 324
Małgorzata Kobylecka Poland 11 298 1.4× 130 0.8× 112 0.8× 36 0.5× 30 1.1× 40 404
Koichi Yokoya Japan 5 150 0.7× 186 1.1× 153 1.1× 69 1.0× 12 0.4× 7 280
John Baksi United Kingdom 6 261 1.2× 74 0.4× 85 0.6× 44 0.6× 34 1.2× 21 316
Nienke S. van Ditzhuijzen Netherlands 10 154 0.7× 278 1.7× 160 1.1× 123 1.8× 21 0.8× 19 362
Erick Alexánderson‐Rosas Mexico 8 97 0.4× 145 0.9× 84 0.6× 154 2.3× 13 0.5× 44 291
Olga Walter Canada 7 261 1.2× 309 1.8× 265 1.9× 145 2.1× 43 1.5× 8 462
Keisuke Yasumura United States 8 135 0.6× 223 1.3× 116 0.8× 97 1.4× 7 0.3× 32 305
Maria Olinic Romania 9 137 0.6× 261 1.6× 78 0.6× 124 1.8× 6 0.2× 28 340

Countries citing papers authored by Hironori Uzuka

Since Specialization
Citations

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

Fields of papers citing papers by Hironori Uzuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hironori Uzuka

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

All Works

14 of 14 papers shown
1.
Yamamoto, Hiroaki, Hironori Uzuka, Kazuma Ohyama, et al.. (2019). Development of a Shock‐Wave Catheter Ablation System for Ventricular Tachyarrhythmias: Validation Study in Pigs In Vivo. Journal of the American Heart Association. 8(2). e011038–e011038. 3 indexed citations
2.
Matsumoto, Yasuharu, Kazuma Ohyama, Hironori Uzuka, et al.. (2019). Cardiac Lymphatic Dysfunction Causes Drug-Eluting Stent–Induced Coronary Hyperconstricting Responses in Pigs In Vivo. Arteriosclerosis Thrombosis and Vascular Biology. 39(4). 741–753. 9 indexed citations
3.
Matsumoto, Yasuharu, et al.. (2019). Treadmill exercise prevents reduction of bone mineral density after myocardial infarction in apolipoprotein E-deficient mice. European Journal of Preventive Cardiology. 27(1). 28–35. 7 indexed citations
4.
Ohyama, Kazuma, Yasuharu Matsumoto, Kentaro Takanami, et al.. (2018). Coronary Adventitial and Perivascular Adipose Tissue Inflammation in Patients With Vasospastic Angina. Journal of the American College of Cardiology. 71(4). 414–425. 126 indexed citations
5.
Matsumoto, Yasuharu, Shiro Morosawa, Kazuma Ohyama, et al.. (2018). 2435Important roles of cardiac lymphatic vessels in the regulation of coronary vasomotion after DES implantation in pigs in vivo. European Heart Journal. 39(suppl_1). 1 indexed citations
6.
Nishimiya, Kensuke, Yasuharu Matsumoto, Hongxin Wang, et al.. (2017). Absence of adventitial vasa vasorum formation at the coronary segment with myocardial bridge - An optical coherence tomography study. International Journal of Cardiology. 250. 275–277. 20 indexed citations
7.
Uzuka, Hironori, Yasuharu Matsumoto, Kensuke Nishimiya, et al.. (2017). Renal Denervation Suppresses Coronary Hyperconstricting Responses After Drug-Eluting Stent Implantation in Pigs In Vivo Through the Kidney–Brain–Heart Axis. Arteriosclerosis Thrombosis and Vascular Biology. 37(10). 1869–1880. 10 indexed citations
8.
Yamamoto, Hiroaki, Yuhi Hasebe, Koji Fukuda, et al.. (2017). Development of a novel shock wave catheter ablation system—A validation study in pigs in vivo. EP Europace. 20(11). 1856–1865. 6 indexed citations
9.
Ohyama, Kazuma, Yasuharu Matsumoto, Hironori Uzuka, et al.. (2017). Association of Coronary Perivascular Adipose Tissue Inflammation and Drug-Eluting Stent–Induced Coronary Hyperconstricting Responses in Pigs. Arteriosclerosis Thrombosis and Vascular Biology. 37(9). 1757–1764. 39 indexed citations
10.
Nishimiya, Kensuke, Yasuharu Matsumoto, Hironori Uzuka, et al.. (2016). Beneficial Effects of a Novel Bioabsorbable Polymer Coating on Enhanced Coronary Vasoconstricting Responses After Drug-Eluting Stent Implantation in Pigs in Vivo. JACC: Cardiovascular Interventions. 9(3). 281–291. 13 indexed citations
11.
Nishimiya, Kensuke, Yasuharu Matsumoto, Hironori Uzuka, et al.. (2016). Focal Vasa Vasorum Formation in Patients With Focal Coronary Vasospasm – An Optical Frequency Domain Imaging Study –. Circulation Journal. 80(10). 2252–2254. 10 indexed citations
12.
Ohyama, Kazuma, Yasuharu Matsumoto, Kensuke Nishimiya, et al.. (2016). Increased Coronary Perivascular Adipose Tissue Volume in Patients With Vasospastic Angina. Circulation Journal. 80(7). 1653–1656. 21 indexed citations
13.
Nishimiya, Kensuke, Yasuharu Matsumoto, Hironori Uzuka, et al.. (2015). Accuracy of Optical Frequency Domain Imaging for Evaluation of Coronary Adventitial Vasa Vasorum Formation After Stent Implantation in Pigs and Humans – A Validation Study –. Circulation Journal. 79(6). 1323–1331. 18 indexed citations
14.
Nishimiya, Kensuke, Yasuharu Matsumoto, Jun Takahashi, et al.. (2014). In Vivo Visualization of Adventitial Vasa Vasorum of the Human Coronary Artery on Optical Frequency Domain Imaging. Circulation Journal. 78(10). 2516–2518. 20 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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