Teruyoshi Uetani

954 total citations
53 papers, 688 citations indexed

About

Teruyoshi Uetani is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Teruyoshi Uetani has authored 53 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Cardiology and Cardiovascular Medicine and 20 papers in Surgery. Recurrent topics in Teruyoshi Uetani's work include Cardiac Imaging and Diagnostics (30 papers), Advanced MRI Techniques and Applications (17 papers) and Coronary Interventions and Diagnostics (12 papers). Teruyoshi Uetani is often cited by papers focused on Cardiac Imaging and Diagnostics (30 papers), Advanced MRI Techniques and Applications (17 papers) and Coronary Interventions and Diagnostics (12 papers). Teruyoshi Uetani collaborates with scholars based in Japan, United States and Australia. Teruyoshi Uetani's co-authors include Shuntaro Ikeda, Teruhito Kido, Akira Kurata, Teruhito Mochizuki, Yuki Tanabe, Jun Suzuki, Osamu Yamaguchi, Jitsuo Higaki, Takafumi Okura and Masao Miyagawa and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Hypertension.

In The Last Decade

Teruyoshi Uetani

50 papers receiving 677 citations

Peers

Teruyoshi Uetani
Teruyoshi Uetani
Citations per year, relative to Teruyoshi Uetani Teruyoshi Uetani (= 1×) peers Dante Chiappino

Countries citing papers authored by Teruyoshi Uetani

Since Specialization
Citations

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

Fields of papers citing papers by Teruyoshi Uetani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teruyoshi Uetani

This figure shows the co-authorship network connecting the top 25 collaborators of Teruyoshi Uetani. A scholar is included among the top collaborators of Teruyoshi Uetani 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 Teruyoshi Uetani. Teruyoshi Uetani 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
1.
Uetani, Teruyoshi, Shinji Inaba, Yuki Yamanishi, Riko Kitazawa, & Osamu Yamaguchi. (2022). Cardiac papillary fibroelastoma: an unusual cause of hemichorea secondary to tumour embolism. European Heart Journal - Case Reports. 6(2). ytac035–ytac035.
2.
Higashi, Haruhiko, Katsuji Inoue, Shinji Inaba, et al.. (2021). Restricted Left Atrial Dilatation Can Visually Differentiate Cardiac Amyloidosis from Hypertrophic Cardiomyopathy. ESC Heart Failure. 8(4). 3198–3205. 12 indexed citations
5.
Tanabe, Yuki, Ewoud J. Smit, Teruhito Kido, et al.. (2020). Clinical application of four-dimensional noise reduction filtering with a similarity algorithm in dynamic myocardial computed tomography perfusion imaging. International journal of cardiac imaging. 36(9). 1781–1789. 10 indexed citations
6.
Kawasaki, Tomohiro, Masafumi Kidoh, Teruhito Kido, et al.. (2020). Evaluation of Significant Coronary Artery Disease Based on CT Fractional Flow Reserve and Plaque Characteristics Using Random Forest Analysis in Machine Learning. Academic Radiology. 27(12). 1700–1708. 18 indexed citations
7.
8.
Suzuki, Jun, Tomoaki Nagao, Tomoki Sakaue, et al.. (2019). Deletion of interleukin-18 attenuates abdominal aortic aneurysm formation. Atherosclerosis. 289. 14–20. 28 indexed citations
9.
Tanabe, Yuki, Teruhito Kido, Akira Kurata, et al.. (2019). Impact of the sampling rate of dynamic myocardial computed tomography perfusion on the quantitative assessment of myocardial blood flow. Clinical Imaging. 56. 93–101. 14 indexed citations
10.
Tanabe, Yuki, Teruhito Kido, Akira Kurata, et al.. (2019). Coronary artery stenosis-related perfusion ratio using dynamic computed tomography myocardial perfusion imaging: a pilot for identification of hemodynamically significant coronary artery disease. Cardiovascular Intervention and Therapeutics. 35(4). 327–335. 7 indexed citations
11.
Miyagawa, Masao, Teruyoshi Uetani, Riko Kitazawa, et al.. (2018). Positron emission tomography/computed tomography detection of increased 18F-fluorodeoxyglucose uptake in the cardiac atria of patients with atrial fibrillation. International Journal of Cardiology. 283. 171–177. 27 indexed citations
12.
Sakaue, Tomohisa, Hirotomo Nakaoka, Fumiaki Shikata, et al.. (2018). Biochemical and histological evidence of deteriorated bioprosthetic valve leaflets: the accumulation of fibrinogen and plasminogen. Biology Open. 7(8). 37 indexed citations
13.
Tanabe, Yuki, Teruhito Kido, Akira Kurata, et al.. (2018). Incremental diagnostic value of whole-heart dynamic computed tomography perfusion imaging for detecting obstructive coronary artery disease. Journal of Cardiology. 73(5). 425–431. 19 indexed citations
14.
Uetani, Teruyoshi, Kazuhisa Nishimura, Hiroshi Kawakami, et al.. (2017). Intracoronary Optical Coherence Tomography-Derived Virtual Fractional Flow Reserve for the Assessment of Coronary Artery Disease. The American Journal of Cardiology. 120(10). 1772–1779. 36 indexed citations
15.
Miyagawa, Masao, Yoshiko Nishiyama, Teruyoshi Uetani, et al.. (2017). Estimation of myocardial flow reserve utilizing an ultrafast cardiac SPECT: Comparison with coronary angiography, fractional flow reserve, and the SYNTAX score. International Journal of Cardiology. 244. 347–353. 39 indexed citations
16.
Tanabe, Yuki, Teruhito Kido, Akira Kurata, et al.. (2017). Impact of knowledge-based iterative model reconstruction on myocardial late iodine enhancement in computed tomography and comparison with cardiac magnetic resonance. International journal of cardiac imaging. 33(10). 1609–1618. 21 indexed citations
17.
Tanabe, Yuki, Teruhito Kido, Akira Kurata, et al.. (2017). Peak enhancement ratio of myocardium to aorta for identification of myocardial ischemia using dynamic myocardial computed tomography perfusion imaging. Journal of Cardiology. 70(6). 565–570. 2 indexed citations
18.
Ogawa, Ryo, Tomoyuki Kido, Masashi Nakamura, et al.. (2017). T1 mapping using saturation recovery single-shot acquisition at 3-tesla magnetic resonance imaging in hypertrophic cardiomyopathy: comparison to late gadolinium enhancement. Japanese Journal of Radiology. 35(3). 116–125. 8 indexed citations
19.
Tanabe, Yuki, Teruhito Kido, Akira Kurata, et al.. (2016). Three-dimensional maximum principal strain using cardiac computed tomography for identification of myocardial infarction. European Radiology. 27(4). 1667–1675. 21 indexed citations
20.
Kawakami, Hiroshi, Takayuki Nagai, Akira Fujii, et al.. (2016). Apnea–hypopnea index as a predictor of atrial fibrillation recurrence following initial pulmonary vein isolation: usefulness of type-3 portable monitor for sleep-disordered breathing. Journal of Interventional Cardiac Electrophysiology. 47(2). 237–244. 13 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026