Nobuo Tomizawa

736 total citations
61 papers, 441 citations indexed

About

Nobuo Tomizawa is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery. According to data from OpenAlex, Nobuo Tomizawa has authored 61 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Radiology, Nuclear Medicine and Imaging, 31 papers in Biomedical Engineering and 25 papers in Surgery. Recurrent topics in Nobuo Tomizawa's work include Cardiac Imaging and Diagnostics (47 papers), Advanced X-ray and CT Imaging (31 papers) and Coronary Interventions and Diagnostics (19 papers). Nobuo Tomizawa is often cited by papers focused on Cardiac Imaging and Diagnostics (47 papers), Advanced X-ray and CT Imaging (31 papers) and Coronary Interventions and Diagnostics (19 papers). Nobuo Tomizawa collaborates with scholars based in Japan, China and United States. Nobuo Tomizawa's co-authors include Takeshi Nojo, Kuni Ohtomo, Masaaki Akahane, Sunao Nakamura, Shigeru Kiryu, Eriko Maeda, Kodai Yamamoto, Kenji Ino, Yusuke Fujino and Kanako K. Kumamaru and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Nobuo Tomizawa

53 papers receiving 433 citations

Peers

Nobuo Tomizawa
John M. Froehlich Switzerland
Güray Öncel Türkiye
Jan Schenzle Germany
Sivi Carson United States
Philip Montana United States
Oshaani Abeyakoon United Kingdom
John M. Froehlich Switzerland
Nobuo Tomizawa
Citations per year, relative to Nobuo Tomizawa Nobuo Tomizawa (= 1×) peers John M. Froehlich

Countries citing papers authored by Nobuo Tomizawa

Since Specialization
Citations

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

Fields of papers citing papers by Nobuo Tomizawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuo Tomizawa

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuo Tomizawa. A scholar is included among the top collaborators of Nobuo Tomizawa 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 Nobuo Tomizawa. Nobuo Tomizawa 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.
Nozaki, Yui, Kazuhisa Takamura, Makoto Hiki, et al.. (2024). Additional prognostic impact of plaque characterization with on-site CT-derived fractional flow reserve in coronary CT angiography. Journal of Cardiology. 84(5). 336–341. 1 indexed citations
2.
Tomizawa, Nobuo, Yui Nozaki, Yuko Kawaguchi, et al.. (2024). Super-resolution deep learning reconstruction to improve image quality of coronary CT angiography. PubMed. 1(1). umae001–umae001.
3.
Kawaguchi, Yuko, et al.. (2024). Current status and future perspective of coronary artery calcium score in asymptomatic individuals. Journal of Cardiology. 85(4). 275–282.
4.
Fujimoto, Shinichiro, Chihiro Aoshima, Yuko Kawaguchi, et al.. (2023). First validation of stress myocardial perfusion scintigraphy using a novel reconstruction process. Annals of Nuclear Medicine. 37(7). 390–399.
5.
Nozaki, Yui, Shinichiro Fujimoto, Yuko Kawaguchi, et al.. (2022). Prognostic value of the optimal measurement location of on-site CT-derived fractional flow reserve. Journal of Cardiology. 80(1). 14–21. 6 indexed citations
6.
Fujimoto, Shinichiro, Yui Nozaki, Chihiro Aoshima, et al.. (2022). USEFULNESS OF NEW METHOD TO QUANTIFY PERICORONARY ADIPOSE TISSUE ON ECG-GATED NON-CONTRAST CHEST CT SCAN. Journal of the American College of Cardiology. 79(9). 1236–1236.
7.
Tomizawa, Nobuo, Yujiro Otsuka, Chihiro Aoshima, et al.. (2022). Use of a deep-learning-based lumen extraction method to detect significant stenosis on coronary computed tomography angiography in patients with severe coronary calcification. The Egyptian Heart Journal. 74(1). 43–43. 4 indexed citations
8.
Fujimoto, Shinichiro, Yui Nozaki, Chihiro Aoshima, et al.. (2021). Incremental Diagnostic Value of CT Fractional Flow Reserve Using Subtraction Method in Patients with Severe Calcification: A Pilot Study. Journal of Clinical Medicine. 10(19). 4398–4398. 7 indexed citations
9.
Tomizawa, Nobuo, Yui Nozaki, Shinichiro Fujimoto, et al.. (2021). A phantom and in vivo simulation of coronary flow to calculate fractional flow reserve using a mesh-free model. The International Journal of Cardiovascular Imaging. 38(4). 895–903. 4 indexed citations
10.
Nozaki, Yui, Shinichiro Fujimoto, Chihiro Aoshima, et al.. (2021). Comparison of diagnostic performance in on-site based CT-derived fractional flow reserve measurements. IJC Heart & Vasculature. 35. 100815–100815. 10 indexed citations
11.
Arakawa, Hiroaki, Nobuo Tomizawa, Satoshi Matsuoka, et al.. (2020). Low Iodine Dose is Related with Overestimation of Extracellular Volume Derived from Cardiac CT. 4(2). 38–38. 3 indexed citations
12.
Tomizawa, Nobuo, et al.. (2018). Longer diabetes duration reduces myocardial blood flow in remote myocardium assessed by dynamic myocardial CT perfusion. Journal of Diabetes and its Complications. 32(6). 609–615. 10 indexed citations
13.
Tomizawa, Nobuo, Yusuke Fujino, Kodai Yamamoto, et al.. (2018). Data for comparison of computed tomography angiography and dynamic myocardial perfusion to detect significant stenosis by coronary angiography. Data in Brief. 21. 953–955. 1 indexed citations
14.
Tomizawa, Nobuo, et al.. (2016). Spiral Flow Tube for Saline Flush in Coronary CT Angiography:Initial Experience. 3(1). 90–94. 2 indexed citations
15.
Tomizawa, Nobuo, et al.. (2016). Relationship of hepatic steatosis severity and coronary artery disease characteristics assessed by coronary CT angiography. International journal of cardiac imaging. 32(S1). 73–82. 7 indexed citations
16.
Tomizawa, Nobuo, et al.. (2016). A clinical model to identify patients with high-risk plaque by coronary computed tomography angiography. International Journal of Cardiology. 228. 260–264. 6 indexed citations
17.
Maeda, Eriko, et al.. (2016). The feasibility of Forward-projected model-based Iterative Reconstruction SoluTion (FIRST) for coronary 320-row computed tomography angiography: A pilot study. Journal of cardiovascular computed tomography. 11(1). 40–45. 37 indexed citations
18.
Tomizawa, Nobuo, et al.. (2015). The association of hemoglobin A1c and high risk plaque and plaque extent assessed by coronary computed tomography angiography. International journal of cardiac imaging. 32(3). 493–500. 9 indexed citations
19.
Tomizawa, Nobuo, et al.. (2014). Minimizing the acquisition phase in coronary CT angiography using the second generation 320-row CT. Japanese Journal of Radiology. 32(7). 391–396. 6 indexed citations
20.
Tomizawa, Nobuo, et al.. (2012). Shorter delay time reduces interpatient variability in coronary enhancement in coronary CT angiography using the bolus tracking method with 320-row CT. International journal of cardiac imaging. 29(1). 185–190. 8 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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