Kanae K. Miyake

1.8k total citations · 1 hit paper
60 papers, 1.3k citations indexed

About

Kanae K. Miyake is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Kanae K. Miyake has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Pulmonary and Respiratory Medicine and 12 papers in Oncology. Recurrent topics in Kanae K. Miyake's work include Radiomics and Machine Learning in Medical Imaging (22 papers), MRI in cancer diagnosis (18 papers) and Medical Imaging Techniques and Applications (18 papers). Kanae K. Miyake is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (22 papers), MRI in cancer diagnosis (18 papers) and Medical Imaging Techniques and Applications (18 papers). Kanae K. Miyake collaborates with scholars based in Japan, United States and United Kingdom. Kanae K. Miyake's co-authors include Assaf Hoogi, Daniel L. Rubin, Francisco Javier Giménez Fuentes‐Guerra, Yuji Nakamoto, Kaori Togashi, Masakazu Toi, Shotaro Kanao, Katsumi Hayakawa, Mizuki Nishino and Masako Kataoka and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Kanae K. Miyake

53 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A curated mammography data set for use in computer-aided detection and diagnosis research

2017 493 citations Kanae K. Miyake et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kanae K. Miyake Japan	18	806	503	216	195	135	60	1.3k
Kazunori Kubota Japan	22	876 1.1×	430 0.9×	211 1.0×	206 1.1×	85 0.6×	102	1.5k
Si‐Wa Chan Taiwan	15	530 0.7×	369 0.7×	296 1.4×	96 0.5×	80 0.6×	44	879
Goshi Oda Japan	15	504 0.6×	376 0.7×	87 0.4×	95 0.5×	69 0.5×	63	796
Xinming Zhao China	17	1.0k 1.3×	213 0.4×	248 1.1×	252 1.3×	92 0.7×	51	1.3k
Yahong Luo China	20	1.1k 1.3×	464 0.9×	474 2.2×	281 1.4×	41 0.3×	62	1.4k
Haydee Ojeda‐Fournier United States	16	941 1.2×	557 1.1×	255 1.2×	264 1.4×	134 1.0×	68	1.5k
Swapnil Rane India	16	279 0.3×	179 0.4×	139 0.6×	182 0.9×	78 0.6×	82	853
Jinrong Qu China	20	994 1.2×	194 0.4×	390 1.8×	392 2.0×	53 0.4×	95	1.8k
Tamim Niazi Canada	23	750 0.9×	187 0.4×	734 3.4×	359 1.8×	64 0.5×	118	1.6k
Luke Geneslaw United States	4	773 1.0×	1.1k 2.2×	164 0.8×	340 1.7×	401 3.0×	4	1.5k

Countries citing papers authored by Kanae K. Miyake

Since Specialization

Citations

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

Fields of papers citing papers by Kanae K. Miyake

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kanae K. Miyake. 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 Kanae K. Miyake. The network helps show where Kanae K. Miyake may publish in the future.

Co-authorship network of co-authors of Kanae K. Miyake

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

All Works

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20 of 20 papers shown

Fujimoto, Koji, Sachi Okuchi, Kanae K. Miyake, et al.. (2025). Simultaneous Visualization of the Carotid and Subclavian Arteries Using Non–Contrast‐Enhanced MR Angiography With a 3D Fast Field Echo Sequence and Time‐Spatial Labeling Inversion Pulse: A Comparison With 3D Time‐of‐Flight MR Angiography. Journal of Magnetic Resonance Imaging. 63(1). 207–219.

Miyake, Kanae K., et al.. (2025). Collagen Vascular Disease–Associated Interstitial Pneumonia With Accumulation of 18F-fluoroestradiol. Clinical Nuclear Medicine. 50(5). 428–430.

Miyake, Kanae K., Tomomi W. Nobashi, Takayoshi Ishimori, et al.. (2025). Subcutaneous/cutaneous uptake in the cancer-affected breast on 18F-FDG PET/CT: association with post-surgical prognosis in breast cancer patients. Annals of Nuclear Medicine. 40(1). 73–86. 2 indexed citations

Miyake, Kanae K., Tomomi W. Nobashi, Takayoshi Ishimori, et al.. (2025). Locoregional indicators of systemic spread in breast cancer: insights from standard-of-care imaging and ¹⁸F-FDG PET/CT. Annals of Nuclear Medicine. 40(3). 272–285.

Murakami, Takaaki, H. Y. Yoshida, Kanae K. Miyake, et al.. (2025). Qualitative and Quantitative Analyses of Noninvasive Diagnosis of Insulinoma Using [18F]FB(ePEG12)12-Exendin-4 PET/CT. The Journal of Clinical Endocrinology & Metabolism. 111(1). 209–217. 1 indexed citations

Sakamoto, Ryo, Ryuzo Arai, Akira Yamamoto, et al.. (2024). Thin-slice 2D MR Imaging of the Shoulder Joint Using Denoising Deep Learning Reconstruction Provides Higher Image Quality Than 3D MR Imaging. Magnetic Resonance in Medical Sciences. 24(4). n/a–n/a. 1 indexed citations

Ito, Shuichi, Sachi Okuchi, Yasutaka Fushimi, et al.. (2024). Thin-slice reverse encoding distortion correction DWI facilitates visualization of non-functioning pituitary neuroendocrine tumor (PitNET)/pituitary adenoma and surrounding normal structures. European Radiology Experimental. 8(1). 28–28. 3 indexed citations

Murakami, Takaaki, Ikuko Hanaoka, Hiroyuki Fujimoto, et al.. (2024). [<sup>18</sup>F]FB(ePEG12)12-exendin-4 noninvasive imaging of insulinoma negative for insulin immunostaining on specimen from endoscopic ultrasonography-guided fine needle aspiration: a case report with review of literature. Endocrine Journal. 71(9). 925–933. 3 indexed citations

Kataoka, Masako, Mami Iima, Maya Honda, et al.. (2023). Evaluation of breast lesions based on modified BI-RADS using high-resolution readout-segmented diffusion-weighted echo-planar imaging and T2/T1-weighted image. Magnetic Resonance Imaging. 98. 132–139. 4 indexed citations

10.

Fushimi, Yasutaka, Kanae K. Miyake, Satoshi Nakajima, et al.. (2023). Denoising approach with deep learning-based reconstruction for neuromelanin-sensitive MRI: image quality and diagnostic performance. Japanese Journal of Radiology. 41(11). 1216–1225. 19 indexed citations

11.

Murakami, Takaaki, Hiroyuki Fujimoto, Junji Fujikura, et al.. (2023). Noninvasive evaluation of donor and native pancreases following simultaneous pancreas–kidney transplantation using positron emission tomography/computed tomography. Journal of Diabetes Investigation. 14(10). 1187–1191. 5 indexed citations

12.

Murakami, Takaaki, Hiroyuki Fujimoto, Yoichi Shimizu, et al.. (2023). 18F-labeled PEGylated exendin-4 imaging noninvasively differentiates insulinoma from an accessory spleen: the first case report of [18F]FB(ePEG12)12-exendin-4 positron emission tomography/computed tomography for insulinoma. Frontiers in Endocrinology. 14. 1245573–1245573. 5 indexed citations

13.

Kataoka, Masako, Mami Iima, Kanae K. Miyake, & Yoshiaki Matsumoto. (2022). Multiparametric imaging of breast cancer: An update of current applications. Diagnostic and Interventional Imaging. 103(12). 574–583. 14 indexed citations

14.

Kataoka, Masako, Mami Iima, Maya Honda, et al.. (2022). Evaluation of pathological complete response after neoadjuvant systemic treatment of invasive breast cancer using diffusion-weighted imaging compared with dynamic contrast-enhanced based kinetic analysis. European Journal of Radiology. 154. 110372–110372. 1 indexed citations

15.

Kishimoto, Ayami Ohno, Masako Kataoka, Mami Iima, et al.. (2020). The comparison of high-resolution diffusion weighted imaging (DWI) with high-resolution contrast-enhanced MRI in the evaluation of breast cancers. Magnetic Resonance Imaging. 71. 161–169. 16 indexed citations

16.

Honda, Maya, Masako Kataoka, Kosuke Kawaguchi, et al.. (2020). Subcategory classifications of Breast Imaging and Data System (BI-RADS) category 4 lesions on MRI. Japanese Journal of Radiology. 39(1). 56–65. 15 indexed citations

17.

Honda, Maya, Masako Kataoka, Mami Iima, et al.. (2020). Background parenchymal enhancement and its effect on lesion detectability in ultrafast dynamic contrast-enhanced MRI. European Journal of Radiology. 129. 108984–108984. 19 indexed citations

18.

Downey, John, et al.. (2016). Mammography before and after bariatric surgery. Surgery for Obesity and Related Diseases. 13(3). 451–456. 8 indexed citations

19.

Ikeda, Debra M., et al.. (2014). Patient Awareness of Breast Density and Interest in Supplemental Screening Tests: Comparison of an Academic Facility and a County Hospital. Journal of the American College of Radiology. 12(3). 249–255. 24 indexed citations

20.

Sakata, Takao, Kanae K. Miyake, T Kinukawa, et al.. (1992). [Clinical evaluation of usefulness of cefixime (200 mg administered once daily) in the treatment of acute uncomplicated cystitis].. PubMed. 38(11). 1337–42. 3 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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