Shuta Tsuboi
About
Shuta Tsuboi is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Shuta Tsuboi has authored 52 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cardiology and Cardiovascular Medicine, 30 papers in Surgery and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shuta Tsuboi's work include Coronary Interventions and Diagnostics (18 papers), Acute Myocardial Infarction Research (18 papers) and Lipoproteins and Cardiovascular Health (13 papers). Shuta Tsuboi is often cited by papers focused on Coronary Interventions and Diagnostics (18 papers), Acute Myocardial Infarction Research (18 papers) and Lipoproteins and Cardiovascular Health (13 papers). Shuta Tsuboi collaborates with scholars based in Japan, Egypt and United States. Shuta Tsuboi's co-authors include Katsumi Miyauchi, Manabu Ogita, Hiroyuki Daida, Takatoshi Kasai, Tomotaka Dohi, Shinya Okazaki, Hirokazu Konishi, Ryo Naito, Kikuo Isoda and Hideki Wada and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.
In The Last Decade
Shuta Tsuboi
49 papers receiving 943 citations
Peers
Shuta Tsuboi
Hirokazu Konishi Japan
Satoru Suwa Japan
Elif Hande Özcan Çetin Türkiye
Gabriella Iannuzzo Italy
Masatoshi Minamisawa Japan
Ernesto Valero Spain
Jarosław Wasilewski Poland
Lars Lindhagen Sweden
Takashi Miura Japan
Serdar Farhan Austria
Citations per year, relative to Shuta Tsuboi Shuta Tsuboi (= 1×)
peers
Hirokazu Konishi
Countries citing papers authored by Shuta Tsuboi
Since
Specialization
Citations
This map shows the geographic impact of Shuta Tsuboi'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 Shuta Tsuboi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuta Tsuboi more than expected).
Fields of papers citing papers by Shuta Tsuboi
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Shuta Tsuboi. 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 Shuta Tsuboi. The network helps show where Shuta Tsuboi may publish in the future.
Co-authorship network of co-authors of Shuta Tsuboi
This figure shows the co-authorship network connecting the top 25 collaborators of Shuta Tsuboi. A scholar is included among the top collaborators of Shuta Tsuboi 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 Shuta Tsuboi. Shuta Tsuboi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Wada, Hideki, Manabu Ogita, Yuta Takamura, et al.. (2023). Clinical outcomes of ST elevation myocardial infarction patients without standard modifiable risk factors. Journal of Cardiology. 84(1). 41–46.
2.
Shitara, Jun, Takatoshi Kasai, Hirokazu Konishi, et al.. (2019). Impact of Lipoprotein (a) Levels on Long-Term Outcomes in Patients With Coronary Artery Disease and Left Ventricular Systolic Dysfunction. Circulation Journal. 83(5). 1047–1053.
3.
Endo, Hirohisa, Tomotaka Dohi, Jun Shitara, et al.. (2018). Impact of body mass index on long-term outcomes in Japanese patients following percutaneous coronary intervention: The Juntendo PCI Registry. Journal of Cardiology. 72(3). 208–214.
4.
Wada, Hideki, Tomotaka Dohi, Katsumi Miyauchi, et al.. (2018). Relationship between the prognostic nutritional index and long-term clinical outcomes in patients with stable coronary artery disease. Journal of Cardiology. 72(2). 155–161.
5.
Wada, Hideki, Tomotaka Dohi, Shuta Tsuboi, et al.. (2018). RELATIONSHIP BETWEEN THE PROGNOSTIC NUTRITIONAL INDEX AND LONG-TERM CLINICAL OUTCOMES IN PATIENTS WITH STABLE CORONARY ARTERY DISEASE. Journal of the American College of Cardiology. 71(11). A1442–A1442.
6.
Wada, Hideki, Tomotaka Dohi, Katsumi Miyauchi, et al.. (2018). Mean platelet volume and long-term cardiovascular outcomes in patients with stable coronary artery disease. Atherosclerosis. 277. 108–112.
7.
Konishi, Hirokazu, Katsumi Miyauchi, Hideki Wada, et al.. (2017). Abstract 15623: Effect of Pemafibrate (k-877), a Novel Selective Peroxisome Proliferator-activated Receptor α Modulator (spparmα), in Atherosclerosis Model Using Low Density Lipoprotein Receptor Knock-out Swine With Balloon Injury. Circulation.
8.
Wada, Hideki, Tomotaka Dohi, Katsumi Miyauchi, et al.. (2017). Impact of serum albumin levels on long-term outcomes in patients undergoing percutaneous coronary intervention. Heart and Vessels. 32(9). 1085–1092.
9.
Konishi, Hirokazu, Katsumi Miyauchi, Takatoshi Kasai, et al.. (2016). Adequate time in therapeutic INR range using triple antithrombotic therapy is not associated with long-term cardiovascular events and major bleeding complications after drug-eluting stent implantation. Journal of Cardiology. 68(6). 517–522.
10.
Wada, Hideki, Manabu Ogita, Katsumi Miyauchi, et al.. (2016). Impact of gender difference on long-term outcomes of percutaneous coronary intervention for coronary artery disease in patients under statin treatment. Heart and Vessels. 32(1). 16–21.
11.
Ogita, Manabu, Katsumi Miyauchi, Akira Ōnishi, et al.. (2016). Development of Accelerated Coronary Atherosclerosis Model Using Low Density Lipoprotein Receptor Knock-Out Swine with Balloon Injury. PLoS ONE. 11(9). e0163055–e0163055.
12.
Ogita, Manabu, Katsumi Miyauchi, Takatoshi Kasai, et al.. (2015). Prognostic impact of circulating soluble LR11 on long-term clinical outcomes in patients with coronary artery disease. Atherosclerosis. 244. 216–221.
13.
Konishi, Hirokazu, Katsumi Miyauchi, Shuta Tsuboi, et al.. (2015). Impact of the HAS-BLED Score on Long-Term Outcomes After Percutaneous Coronary Intervention. The American Journal of Cardiology. 116(4). 527–531.
14.
Konishi, Hirokazu, Katsumi Miyauchi, Tomotaka Dohi, et al.. (2015). Impact of stent length on clinical outcomes of first-generation and new-generation drug-eluting stents. Cardiovascular Intervention and Therapeutics. 31(2). 114–121.
15.
Sai, Eiryu, Kazunori Shimada, Katsumi Miyauchi, et al.. (2015). Increased cystatin C levels as a risk factor of cardiovascular events in patients with preserved estimated glomerular filtration rate after elective percutaneous coronary intervention with drug-eluting stents. Heart and Vessels. 31(5). 694–701.
16.
Naito, Ryo, Katsumi Miyauchi, Hirokazu Konishi, et al.. (2015). Gender difference in long-term clinical outcomes following percutaneous coronary intervention during 1984–2008. Atherosclerosis. 247. 105–110.
17.
Konishi, Hirokazu, Katsumi Miyauchi, Takatoshi Kasai, et al.. (2014). Long-term prognosis and clinical characteristics of young adults (≤40 years old) who underwent percutaneous coronary intervention. Journal of Cardiology. 64(3). 171–174.
18.
Konishi, Hirokazu, Katsumi Miyauchi, Takatoshi Kasai, et al.. (2014). Impact of Lipoprotein(a) as Residual Risk on Long-Term Outcomes in Patients After Percutaneous Coronary Intervention. The American Journal of Cardiology. 115(2). 157–160.
19.
Naito, Ryo, Katsumi Miyauchi, Manabu Ogita, et al.. (2013). Impact of admission glycemia and glycosylated hemoglobin A1c on long-term clinical outcomes of non-diabetic patients with acute coronary syndrome. Journal of Cardiology. 63(2). 106–111.
20.
Ogita, Manabu, Katsumi Miyauchi, Tadashi Miyazaki, et al.. (2013). Low high-density lipoprotein cholesterol is a residual risk factor associated with long-term clinical outcomes in diabetic patients with stable coronary artery disease who achieve optimal control of low-density lipoprotein cholesterol. Heart and Vessels. 29(1). 35–41.
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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