Kazuo Awai

12.9k total citations · 1 hit paper
433 papers, 9.1k citations indexed

About

Kazuo Awai is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kazuo Awai has authored 433 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 270 papers in Radiology, Nuclear Medicine and Imaging, 130 papers in Biomedical Engineering and 111 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kazuo Awai's work include Radiation Dose and Imaging (128 papers), Advanced X-ray and CT Imaging (124 papers) and Cardiac Imaging and Diagnostics (80 papers). Kazuo Awai is often cited by papers focused on Radiation Dose and Imaging (128 papers), Advanced X-ray and CT Imaging (124 papers) and Cardiac Imaging and Diagnostics (80 papers). Kazuo Awai collaborates with scholars based in Japan, United States and United Kingdom. Kazuo Awai's co-authors include Yasuyuki Yamashita, Takeshi Nakaura, Toru Higaki, Yoshinori Funama, Yuko Nakamura, Fuminari Tatsugami, Shinichi Hori, Yumi Yanaga, Yoshiharu Nakayama and Daisuke Utsunomiya and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Kazuo Awai

393 papers receiving 9.0k citations

Hit Papers

Deep learning reconstruct... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazuo Awai Japan 50 6.2k 3.6k 2.0k 1.5k 835 433 9.1k
Stefan O. Schoenberg Germany 63 11.2k 1.8× 3.0k 0.9× 3.7k 1.8× 2.3k 1.6× 729 0.9× 578 16.4k
Kyongtae T. Bae United States 57 4.2k 0.7× 2.0k 0.6× 2.2k 1.1× 1.3k 0.9× 438 0.5× 192 10.5k
Flemming Forsberg United States 47 3.6k 0.6× 5.0k 1.4× 1.0k 0.5× 1.1k 0.7× 725 0.9× 334 7.9k
Hersh Chandarana United States 52 6.5k 1.1× 1.8k 0.5× 2.1k 1.1× 882 0.6× 572 0.7× 191 8.5k
Borut Marinček Switzerland 60 7.2k 1.2× 4.0k 1.1× 2.2k 1.1× 4.0k 2.7× 622 0.7× 293 12.4k
Gerald Antoch Germany 60 8.1k 1.3× 1.8k 0.5× 4.6k 2.3× 2.3k 1.6× 991 1.2× 496 14.0k
Kenneth A. Miles United Kingdom 48 7.2k 1.2× 1.8k 0.5× 2.8k 1.4× 1.5k 1.0× 996 1.2× 177 9.5k
Stefan Delorme Germany 53 4.1k 0.7× 1.6k 0.4× 1.8k 0.9× 1.7k 1.2× 427 0.5× 316 9.1k
Vivian S. Lee United States 54 5.7k 0.9× 793 0.2× 2.2k 1.1× 1.5k 1.0× 1.5k 1.8× 185 9.1k
Lorenzo Bonomo Italy 45 2.5k 0.4× 966 0.3× 1.7k 0.8× 1.9k 1.3× 423 0.5× 235 6.9k

Countries citing papers authored by Kazuo Awai

Since Specialization
Citations

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

Fields of papers citing papers by Kazuo Awai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuo Awai

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuo Awai. A scholar is included among the top collaborators of Kazuo Awai 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 Kazuo Awai. Kazuo Awai 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.
Kondo, Shota, Yuko Nakamura, Takashi Nishihara, et al.. (2024). Utility of under-sampled scans with iterative reconstruction and high-frequency preserving transform for high spatial resolution magnetic resonance cholangiopancreatography. Japanese Journal of Radiology. 43(3). 463–471. 1 indexed citations
5.
Higaki, Toru, et al.. (2024). Super resolution deep learning reconstruction for coronary CT angiography: A structured phantom study. European Journal of Radiology Open. 12. 100570–100570. 5 indexed citations
6.
Matsuda, Naoki, Noboru Takamura, Noboru Oriuchi, et al.. (2024). The influence of revised ordinance on radiation protection management in Japanese hospitals: device deployment and involvement of radiology technologists. Japanese Journal of Radiology. 43(1). 117–128. 1 indexed citations
7.
Fujii, Yasutoshi, Tomokazu Kawaoka, Ryoichi Miura, et al.. (2024). First-Line Durvalumab plus Tremelimumab Treatment for Unresectable Hepatocellular Carcinoma in Real-World Clinical Practice. Oncology. 103(8). 742–747. 3 indexed citations
8.
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.
9.
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.
10.
Fujioka, Chikako, Masao Kiguchi, Toru Higaki, et al.. (2023). Evaluation of the second-generation whole-heart motion correction algorithm (SSF2) used to demonstrate the aortic annulus on cardiac CT. Scientific Reports. 13(1). 3636–3636. 12 indexed citations
12.
Akagi, Motonori, Yuko Nakamura, Toru Higaki, et al.. (2017). Preliminary Results of High-Precision Computed Diffusion Weighted Imaging for the Diagnosis of Hepatocellular Carcinoma at 3 Tesla. Journal of Computer Assisted Tomography. 42(3). 373–379. 7 indexed citations
13.
Kaichi, Yoko, Haruya Ohno, Masayasu Yoneda, et al.. (2016). Orbital Fat Volumetry and Water Fraction Measurements Using T2-Weighted FSE-IDEAL Imaging in Patients with Thyroid-Associated Orbitopathy. American Journal of Neuroradiology. 37(11). 2123–2128. 21 indexed citations
14.
Kaichi, Yoko, Go Okada, Masahiro Takamura, et al.. (2016). Changes in the regional cerebral blood flow detected by arterial spin labeling after 6-week escitalopram treatment for major depressive disorder. Journal of Affective Disorders. 194. 135–143. 36 indexed citations
15.
Nakamura, Yuko, Tomoki Kimura, Toru Higaki, et al.. (2015). Clinical utility of gadoxetate disodium-enhanced hepatic MRI for stereotactic body radiotherapy of hepatocellular carcinoma. Japanese Journal of Radiology. 33(10). 627–635. 8 indexed citations
16.
Nagai, Ryozo, Kazuo Awai, Yasunobu Hirata, et al.. (2013). Guideline for Radiation Safety in Interventional Cardiology (JCS 2011) : Digest Version. Japanese Circulation Journal-english Edition. 77(2). 519–549. 8 indexed citations
17.
Aoyama, Masahito, Yoshiharu Nakayama, Kazuo Awai, Yukihiro Inomata, & Yasuyuki Yamashita. (2012). A simple method for accurate liver volume estimation by use of curve-fitting: a pilot study. Radiological Physics and Technology. 6(1). 180–186. 5 indexed citations
18.
Higaki, Toru, Fuminari Tatsugami, & Kazuo Awai. (2012). Noise reduction method for coronary CT using padding images. IEICE technical report. Speech. 112(271). 23–28. 1 indexed citations
19.
Konishi, Masaaki, Seigo Sugiyama, Yuichiro Sato, et al.. (2010). Pericardial fat inflammation correlates with coronary artery disease. Atherosclerosis. 213(2). 649–655. 88 indexed citations
20.
Morishita, Shoji, et al.. (2004). Role of preoperative helical CT before laparoscopic cholecystectomy: evaluation of gallbladder and peritoneal adhesion.. PubMed. 22(2). 111–5. 4 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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