Tomoyasu Sato

511 total citations
68 papers, 262 citations indexed

About

Tomoyasu Sato is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, Tomoyasu Sato has authored 68 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Surgery and 24 papers in Biomedical Engineering. Recurrent topics in Tomoyasu Sato's work include Radiation Dose and Imaging (28 papers), Advanced X-ray and CT Imaging (23 papers) and Cardiac Imaging and Diagnostics (22 papers). Tomoyasu Sato is often cited by papers focused on Radiation Dose and Imaging (28 papers), Advanced X-ray and CT Imaging (23 papers) and Cardiac Imaging and Diagnostics (22 papers). Tomoyasu Sato collaborates with scholars based in Japan, Greece and Singapore. Tomoyasu Sato's co-authors include Takanori Masuda, Kazuo Awai, Yoshinori Funama, Takeshi Nakaura, Toru Higaki, Masao Kiguchi, Tomokazu Okimoto, Yukari Yamashita, Fuminari Tatsugami and Shigeo Ichihashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Roentgenology and Medicine.

In The Last Decade

Tomoyasu Sato

54 papers receiving 258 citations

Peers

Tomoyasu Sato
Mark Whitby Australia
Nathan Frogge United States
Paul A. Kelly United Kingdom
Nick Fisher New Zealand
R. Allen Ligon United States
Sandeep Sainathan United States
Anthony Seibert United States
Tomoyasu Sato
Citations per year, relative to Tomoyasu Sato Tomoyasu Sato (= 1×) peers Goran Rimac

Countries citing papers authored by Tomoyasu Sato

Since Specialization
Citations

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

Fields of papers citing papers by Tomoyasu Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoyasu Sato

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

All Works

20 of 20 papers shown
2.
Masuda, Takanori, Yoshinori Funama, Takeshi Nakaura, et al.. (2023). Utilidad de la línea orbitomeatal superior sin incluir los cristalinos en la exploración con diferentes voltajes del tubo en la TC craneal pediátrica. Radiología. 66(5). 403–409.
3.
Masuda, Takanori, et al.. (2023). Cardiac computed tomography angiography with and without bolus tracking methods in infants with congenital heart disease. Radiation Protection Dosimetry. 200(3). 251–258. 1 indexed citations
4.
Morikawa, Yuko, et al.. (2023). Non‐contrast magnetic resonance angiography for systemic artery evaluation in Kawasaki disease. Pediatrics International. 65(1). e15704–e15704. 1 indexed citations
5.
Masuda, Takanori, Yoshinori Funama, Takeshi Nakaura, et al.. (2023). Posteroanterior Scout View of Pediatric Patients Using Computed Tomography During Different Tube Voltages: Validation Using Pediatric Anthropomorphic Phantoms. SN Comprehensive Clinical Medicine. 5(1).
6.
Masuda, Takanori, Takeshi Nakaura, Yoshinori Funama, et al.. (2023). RADIATION DOSE REDUCTION AT LOW TUBE VOLTAGE WITH CORONARY ARTERY BYPASS GRAFT COMPUTED TOMOGRAPHY ANGIOGRAPHY BASED ON THE CONTRAST NOISE RATIO INDEX. Radiation Protection Dosimetry. 199(6). 527–532.
7.
Masuda, Takanori, Tomoyasu Sato, Yukie Kobayashi, et al.. (2022). Coronary Artery Visualization by Using the 64-row MDCT in Pediatric Patients. Japanese Journal of Radiological Technology. 78(8). 856–863. 1 indexed citations
8.
Kawai, Yusuke K., Masataka Banshodani, Misaki Moriishi, et al.. (2022). Penile calciphylaxis in patients with end‐stage kidney disease undergoing dialysis: Invasive treatment and pain management. Therapeutic Apheresis and Dialysis. 26(5). 950–959. 2 indexed citations
10.
Yoshida, Masato, et al.. (2020). Comparison of Contrast Enhancement between Bolus-tracking and Test-bolus Methods on Coronary CT Angiography. Japanese Journal of Radiological Technology. 76(6). 579–585. 1 indexed citations
11.
Masuda, Takanori, et al.. (2020). New Potential Method for Optimizing the ATCM Technique in Pediatric CT Examination. Japanese Journal of Radiological Technology. 76(8). 802–807. 1 indexed citations
12.
Masuda, Takanori, Tomoyasu Sato, Yukari Yamashita, et al.. (2019). Usefulness of Fenestrated Catheters for i.v. Contrast Infusion Cardiac CT Angiography for Newborn Patients during the Congenital Heart Disease. Japanese Journal of Radiological Technology. 75(8). 765–770. 2 indexed citations
13.
Banshodani, Masataka, Misaki Moriishi, Tomoyasu Sato, et al.. (2019). Iliopsoas Abscess in Hemodialysis Patients With End‐Stage Kidney Disease. Therapeutic Apheresis and Dialysis. 23(6). 534–541. 1 indexed citations
14.
Masuda, Takanori, Takeshi Nakaura, Yoshinori Funama, et al.. (2018). Machine-learning integration of CT histogram analysis to evaluate the composition of atherosclerotic plaques: Validation with IB-IVUS. Journal of cardiovascular computed tomography. 13(2). 163–169. 28 indexed citations
15.
Masuda, Takanori, Yoshinori Funama, Takeshi Nakaura, et al.. (2018). Radiation Dose Reduction at Low Tube Voltage CCTA Based on the CNR Index. Academic Radiology. 25(10). 1298–1304. 11 indexed citations
16.
Higaki, Toru, Takanori Masuda, Tomoyasu Sato, et al.. (2018). Minimizing individual variations in arterial enhancement on coronary CT angiographs using “contrast enhancement optimizer”: a prospective randomized single-center study. European Radiology. 29(6). 2998–3005. 11 indexed citations
17.
Masuda, Takanori, et al.. (2016). Study of CT Automatic Exposure Control System (CT-AEC) Optimization in CT Angiography of Lower Extremity Artery by Considering Contrast-to-Noise Ratio. Japanese Journal of Radiological Technology. 72(1). 21–30. 2 indexed citations
18.
Masuda, Takanori, et al.. (2016). Vessel Visibility Assessment of Low Tube Voltage Coronary Computed Tomography Angiography Determined with Contrast-to-Noise Ratio. Japanese Journal of Radiological Technology. 72(10). 999–1006. 1 indexed citations
19.
Masuda, Takanori, Yoshinori Funama, Takeshi Nakaura, et al.. (2015). Delivering the Saline Chaser Via a Spiral Flow-Generating Tube Improves Arterial Enhancement for Computed Tomography Angiography of the Lower Extremities. Journal of Computer Assisted Tomography. 39(6). 962–968. 5 indexed citations
20.
Watanabe, Noriaki, Mamoru Toyofuku, Tomoyasu Sato, et al.. (2011). A case of adult patient ductus arteriosus with congestive heart failure and severe mitral regurgitation. Cardiovascular Intervention and Therapeutics. 26(3). 278–280. 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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