Jun Sugisawa

604 total citations
14 papers, 349 citations indexed

About

Jun Sugisawa is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Jun Sugisawa has authored 14 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Surgery. Recurrent topics in Jun Sugisawa's work include Cardiac Imaging and Diagnostics (8 papers), Cardiovascular Disease and Adiposity (4 papers) and Coronary Interventions and Diagnostics (3 papers). Jun Sugisawa is often cited by papers focused on Cardiac Imaging and Diagnostics (8 papers), Cardiovascular Disease and Adiposity (4 papers) and Coronary Interventions and Diagnostics (3 papers). Jun Sugisawa collaborates with scholars based in Japan and United Kingdom. Jun Sugisawa's co-authors include Yasuharu Matsumoto, Hiroaki Shimokawa, Yoku Kikuchi, Kiyotaka Hao, Tomohiko Shindo, Jun Takahashi, Akira Suda, Satoshi Miyata, Yasuhiko Sakata and Kōichi Sato and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and European Heart Journal.

In The Last Decade

Jun Sugisawa

14 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Sugisawa Japan	7	260	238	168	34	28	14	349
Rosa Poddighe Italy	7	322 1.2×	259 1.1×	121 0.7×	21 0.6×	19 0.7×	19	462
Tahsin Bozat Türkiye	11	308 1.2×	68 0.3×	106 0.6×	25 0.7×	37 1.3×	46	358
Hidenari Matsumoto Japan	10	138 0.5×	196 0.8×	131 0.8×	17 0.5×	36 1.3×	30	338
Jaclyn Carberry United Kingdom	12	409 1.6×	339 1.4×	192 1.1×	12 0.4×	16 0.6×	23	504
Kenichiro Yuba Japan	10	407 1.6×	273 1.1×	203 1.2×	13 0.4×	22 0.8×	22	449
Mukesh Goel United States	9	278 1.1×	246 1.0×	221 1.3×	8 0.2×	66 2.4×	14	431
Sumihisa Abe Japan	9	251 1.0×	125 0.5×	115 0.7×	13 0.4×	30 1.1×	27	399
Tatsuya Nakachi Japan	10	340 1.3×	222 0.9×	146 0.9×	14 0.4×	41 1.5×	26	441
Maren Maanja Sweden	9	323 1.2×	153 0.6×	46 0.3×	21 0.6×	21 0.8×	21	392
Massimo Ciavolella Italy	12	418 1.6×	303 1.3×	147 0.9×	37 1.1×	51 1.8×	34	538

Countries citing papers authored by Jun Sugisawa

Since Specialization

Citations

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

Fields of papers citing papers by Jun Sugisawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Sugisawa

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

All Works

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14 of 14 papers shown

Takeuchi, Masashi, Hideaki Suzuki, Yasuharu Matsumoto, et al.. (2022). Prediction of the development of delirium after transcatheter aortic valve implantation using preoperative brain perfusion SPECT. PLoS ONE. 17(11). e0276447–e0276447. 5 indexed citations

Nishimiya, Kensuke, Akira Suda, Kiyotaka Hao, et al.. (2021). Prognostic Links Between OCT-Delineated Coronary Morphologies and Coronary Functional Abnormalities in Patients With INOCA. JACC: Cardiovascular Interventions. 14(6). 606–618. 25 indexed citations

Watanabe, Tasuku, Yasuharu Matsumoto, Kensuke Nishimiya, et al.. (2021). Low-intensity pulsed ultrasound therapy suppresses coronary adventitial inflammatory changes and hyperconstricting responses after coronary stent implantation in pigs in vivo. PLoS ONE. 16(9). e0257175–e0257175. 4 indexed citations

Hao, Kiyotaka, Jun Takahashi, Yoku Kikuchi, et al.. (2021). Prognostic Impacts of Comorbid Significant Coronary Stenosis and Coronary Artery Spasm in Patients With Stable Coronary Artery Disease. Journal of the American Heart Association. 10(2). e017831–e017831. 8 indexed citations

Shiroto, Takashi, Shigeo Godo, Shuhei Tanaka, et al.. (2020). Marked Impairment of Endothelium-Dependent Digital Vasodilatations in Patients With Microvascular Angina. Arteriosclerosis Thrombosis and Vascular Biology. 40(5). 1400–1412. 17 indexed citations

Suda, Akira, Jun Takahashi, Kiyotaka Hao, et al.. (2019). Coronary Functional Abnormalities in Patients With Angina and Nonobstructive Coronary Artery Disease. Journal of the American College of Cardiology. 74(19). 2350–2360. 130 indexed citations

Sugisawa, Jun, Yasuharu Matsumoto, Akira Suda, et al.. (2019). 3332Exercise training ameliorates vasodilator capacity of coronary microvessels in patients with vasospastic angina - A new therapeutic approach for the coronary functional disorder. European Heart Journal. 40(Supplement_1). 1 indexed citations

Shiroto, Takashi, Shigeo Godo, Akihiro Ito, et al.. (2019). P4158Marked impairment of endothelium-dependent digital vasodilatations in patients with microvascular angina compared with those with vasospastic angina. European Heart Journal. 40(Supplement_1). 1 indexed citations

Matsumoto, Yasuharu, Hideaki Suzuki, Yoku Kikuchi, et al.. (2019). 92Transcatheter aortic valve implantation improves cerebral blood flow and cognitive function in elderly patients with aortic stenosis - Brain perfusion SPECT imaging study. European Heart Journal. 40(Supplement_1). 1 indexed citations

10.

Kikuchi, Yoku, Jun Takahashi, Kiyotaka Hao, et al.. (2019). Usefulness of intracoronary administration of fasudil, a selective Rho-kinase inhibitor, for PCI-related refractory myocardial ischemia. International Journal of Cardiology. 297. 8–13. 13 indexed citations

11.

Matsumoto, Yasuharu, Jun Sugisawa, Akira Suda, et al.. (2019). Disappearance of Angiodysplasia Following Transcatheter Aortic Valve Implantation in a Patient with Heyde's Syndrome: A Case Report and Review of the Literature. Journal of Atherosclerosis and Thrombosis. 27(3). 271–277. 16 indexed citations

12.

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

13.

Kikuchi, Yoku, Jun Takahashi, Kōichi Sato, et al.. (2018). P793Usefulness and safety of fasudil, a selective Rho-kinase inhibitor, for PCI-related myocardial ischemia in interventional cardiology. European Heart Journal. 39(suppl_1). 1 indexed citations

14.

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

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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