Hiroyuki Uetani

1.6k total citations
89 papers, 1.1k citations indexed

About

Hiroyuki Uetani is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Genetics. According to data from OpenAlex, Hiroyuki Uetani has authored 89 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Neurology and 19 papers in Genetics. Recurrent topics in Hiroyuki Uetani's work include Advanced MRI Techniques and Applications (26 papers), MRI in cancer diagnosis (22 papers) and Glioma Diagnosis and Treatment (18 papers). Hiroyuki Uetani is often cited by papers focused on Advanced MRI Techniques and Applications (26 papers), MRI in cancer diagnosis (22 papers) and Glioma Diagnosis and Treatment (18 papers). Hiroyuki Uetani collaborates with scholars based in Japan, United States and Yemen. Hiroyuki Uetani's co-authors include Mika Kitajima, Toshinori Hirai, Yasuyuki Yamashita, Takeshi Nakaura, Masafumi Kidoh, Machiko Tateishi, Kosuke Morita, Yasunori Nagayama, Yuichi Yamashita and Daisuke Utsunomiya and has published in prestigious journals such as Brain Research, Neurosurgery and Radiographics.

In The Last Decade

Hiroyuki Uetani

78 papers receiving 1.1k citations

Peers

Countries citing papers authored by Hiroyuki Uetani

Since Specialization

Citations

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

Fields of papers citing papers by Hiroyuki Uetani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroyuki Uetani

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyuki Uetani. A scholar is included among the top collaborators of Hiroyuki 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 Hiroyuki Uetani. Hiroyuki Uetani 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

#	Work	Indexed citations
1	Impact of super-resolution deep learning-based reconstruction for hippocampal MRI: A volunteer and phantom study 2025 ·European Journal of Radiology ·(unknown), Takeshi Nakaura, Naofumi Yoshida, Hiroyuki Uetani, (unknown), Naoki Kobayashi, (unknown), (unknown), Yasunori Nagayama, Masafumi Kidoh, Yuichi Yamashita, R. Takayanagi, Toshinori Hirai	0
2	A Novel Approach to Detecting Contrast Extravasation in Computed Tomography: Evaluating the Injection Pressure-to-Injection Rate Ratio 2024 ·Journal of Computer Assisted Tomography ·Naoki Kobayashi, Takeshi Nakaura, (unknown), Hiroyuki Uetani, Yasunori Nagayama, Masafumi Kidoh, Seitaro Oda, Daisuke Sakabe, Ryuji Ikeda, Masahiro Hatemura, (unknown), Yoshinori Funama, Toshinori Hirai	0
3	Machine Learning for Evaluating Vulnerable Plaque on Coronary Computed Tomography Using Spectral Imaging 2024 ·Circulation Reports ·(unknown), Yoshiki Hata, Takeshi Nakaura, Katsushi Hashimoto, Hiroyuki Uetani, Yasunori Nagayama, Masafumi Kidoh, Yoshinori Funama, Toshinori Hirai	0
4	Performance of Multimodal Large Language Models in Japanese Diagnostic Radiology Board Examinations (2021-2023) 2024 ·Academic Radiology ·Takeshi Nakaura, Naofumi Yoshida, Naoki Kobayashi, Yasunori Nagayama, Hiroyuki Uetani, Masafumi Kidoh, Seitaro Oda, Yoshinori Funama, Toshinori Hirai	7
5	Effect of deep learning-based reconstruction on high-resolution three-dimensional T2-weighted fast asymmetric spin-echo imaging in the preoperative evaluation of cerebellopontine angle tumors 2024 ·Neuroradiology ·(unknown), Hiroyuki Uetani, Tadashi Hamasaki, Takeshi Nakaura, Kosuke Morita, Yuichi Yamashita, Mika Kitajima, (unknown), Akitake Mukasa, Toshinori Hirai	3
6	Long-term outcomes of multidisciplinary treatment combining surgery and stereotactic radiotherapy with Novalis for craniopharyngioma 2024 ·Journal of Clinical Neuroscience ·Naoki Shinojima, Shigetoshi Yano, (unknown), (unknown), Hiroyo Mabe, Junji Kawashima, Motoyuki Igata, Tatsuya Kondo, Hiroyuki Uetani, Takahiro Yamamoto, Ken Uekawa, Takuichiro Hide, Yoshiki Mikami, Toshinori Hirai, Akitake Mukasa	1
7	Neuroimaging in acute infection-triggered encephalopathy syndromes 2023 ·Frontiers in Neuroscience ·Jun‐ichi Takanashi, Hiroyuki Uetani	3
8	Inhalational Anesthesia Reduced Transient Neurological Events After Revascularization Surgery for Moyamoya Disease 2023 ·Neurosurgery ·Yasuyuki Kaku, (unknown), (unknown), (unknown), (unknown), Takayuki Kawano, (unknown), Hiroyuki Uetani, Akitake Mukasa	0
9	Hybrid deep-learning-based denoising method for compressed sensing in pituitary MRI: comparison with the conventional wavelet-based denoising method 2022 ·European Radiology ·Hiroyuki Uetani, Takeshi Nakaura, Mika Kitajima, Kosuke Morita, (unknown), Naoki Shinojima, Machiko Tateishi, T Inoue, Akira Sasao, Akitake Mukasa, Minako Azuma, Osamu Ikeda, Yasuyuki Yamashita, Toshinori Hirai	16
10	Preferential tumor localization in relation to 18F-FDOPA uptake for lower‐grade gliomas 2021 ·Journal of Neuro-Oncology ·Hiroyuki Tatekawa, Hiroyuki Uetani, Akifumi Hagiwara, Jingwen Yao, Talia C. Oughourlian, Issei Ueda, Catalina Raymond, Albert Lai, Timothy F. Cloughesy, Phioanh L. Nghiemphu, Linda M. Liau, Shadfar Bahri, Whitney B. Pope, Noriko Salamon, Benjamin M. Ellingson	3
11	Deep Learning–based Reconstruction for Lower-Dose Pediatric CT: Technical Principles, Image Characteristics, and Clinical Implementations 2021 ·Radiographics ·Yasunori Nagayama, Daisuke Sakabe, Makoto Goto, Takafumi Emoto, Seitaro Oda, Takeshi Nakaura, Masafumi Kidoh, Hiroyuki Uetani, Yoshinori Funama, Toshinori Hirai	51
12	Multiparametric MR-PET measurements in hypermetabolic regions reflect differences in molecular status and tumor grade in treatment-naïve diffuse gliomas 2020 ·Journal of Neuro-Oncology ·Hiroyuki Tatekawa, Akifumi Hagiwara, Hiroyuki Uetani, Jingwen Yao, Talia C. Oughourlian, Shadfar Bahri, Chencai Wang, Catalina Raymond, Albert Lai, Timothy F. Cloughesy, Phioanh L. Nghiemphu, Linda M. Liau, Whitney B. Pope, Noriko Salamon, Benjamin M. Ellingson	6
13	Voxelwise and Patientwise Correlation of ¹⁸F-FDOPA PET, Relative Cerebral Blood Volume, and Apparent Diffusion Coefficient in Treatment-Naïve Diffuse Gliomas with Different Molecular Subtypes 2020 ·Journal of Nuclear Medicine ·Hiroyuki Tatekawa, Akifumi Hagiwara, Jingwen Yao, Talia C. Oughourlian, Issei Ueda, Hiroyuki Uetani, Catalina Raymond, Albert Lai, Timothy F. Cloughesy, Phioanh L. Nghiemphu, Linda M. Liau, Whitney B. Pope, Noriko Salamon, Benjamin M. Ellingson	14
14	Metal Artifact Reduction in Head CT Performed for Patients with Deep Brain Stimulation Devices: Effectiveness of a Single-Energy Metal Artifact Reduction Algorithm 2019 ·American Journal of Neuroradiology ·Yasunori Nagayama, Shota Tanoue, Seitaro Oda, Daisuke Sakabe, Takafumi Emoto, Masafumi Kidoh, Hiroyuki Uetani, Akira Sasao, Takeshi Nakaura, Osamu Ikeda, Kiyotaka Yamada, Yasuyuki Yamashita	8
15	Perfusion abnormality on three-dimensional arterial spin labeling in patients with acute encephalopathy with biphasic seizures and late reduced diffusion 2019 ·Journal of the Neurological Sciences ·Hiroyuki Uetani, Mika Kitajima, Takeshi Sugahara, (unknown), Katsuki Hirai, (unknown), Takeshi Nakaura, Machiko Tateishi, Yasuyuki Yamashita	11
16	Usefulness of Oblique Coronal Computed Tomography and Magnetic Resonance Imaging in the Endoscopic Endonasal Approach to Treat Skull Base Lesions 2018 ·World Neurosurgery ·Shigetoshi Yano, Naoki Shinojima, Mika Kitajima, Hiroyuki Uetani, Takuichiro Hide, Akitake Mukasa	1
17	Diagnostic Significance of Cortical Superficial Siderosis for Alzheimer Disease in Patients with Cognitive Impairment 2015 ·American Journal of Neuroradiology ·Yuichi Inoue, Makoto Nakajima, Hiroyuki Uetani, Toshinori Hirai, Mitsuharu Ueda, Mika Kitajima, Daisuke Utsunomiya, (unknown), Mamoru Hashimoto, Manabu Ikeda, Yoshimi Yamashita, Yukio Ando	18
18	Postcatheterization radial arteriovenous fistula: balloon-assisted direct percutaneous embolization with N-butyl cyanoacrylate and 50 % glucose solution in two sessions 2013 ·Japanese Journal of Radiology ·Takeshi Sugahara, Minako Azuma, (unknown), Kanako Ito, Ryusuke Suzuki, (unknown), Hiroyuki Uetani, Yumi Yanaga, Yuji Baba	10
19	Prevalence and Topography of Small Hypointense Foci Suggesting Microbleeds on 3T Susceptibility-Weighted Imaging in Various Types of Dementia 2012 ·American Journal of Neuroradiology ·Hiroyuki Uetani, Toshinori Hirai, Mamoru Hashimoto, Manabu Ikeda, Mika Kitajima, Fumi Sakamoto, Daisuke Utsunomiya, (unknown), Seigo Sugiyama, J Matsubara, Yoshimi Yamashita	43
20	Type 1 Perimedullary Arteriovenous Fistula with Subarachnoid Hemorrhage: Utility of Contrast-enhanced 3D Gradient-echo Technique 2011 ·Magnetic Resonance in Medical Sciences ·Masuma Akter, Toshinori Hirai, Mika Kitajima, Yutaka Kai, Motohiro Morioka, Akira Sasao, Daisuke Utsunomiya, Hiroyuki Uetani, Yukunori Korogi, Yasuyuki Yamashita	3

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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