Yukito Maeda

748 total citations
45 papers, 508 citations indexed

About

Yukito Maeda is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yukito Maeda has authored 45 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Genetics and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yukito Maeda's work include Medical Imaging Techniques and Applications (28 papers), Glioma Diagnosis and Treatment (12 papers) and Advanced MRI Techniques and Applications (8 papers). Yukito Maeda is often cited by papers focused on Medical Imaging Techniques and Applications (28 papers), Glioma Diagnosis and Treatment (12 papers) and Advanced MRI Techniques and Applications (8 papers). Yukito Maeda collaborates with scholars based in Japan, United States and Belarus. Yukito Maeda's co-authors include Yoshihiro Nishiyama, Yuka Yamamoto, Nobuyuki Kudomi, Nobuyuki Kawai, Takashi Tamiya, Keisuke Miyake, Takashi Norikane, Takahisa Noma, Reiji Haba and Masaki Okada and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cerebral Blood Flow & Metabolism and Physics in Medicine and Biology.

In The Last Decade

Yukito Maeda

36 papers receiving 501 citations

Peers

Yukito Maeda
Franziska Vettermann Germany
Leor Zach Israel
Vibeke A. Larsen Denmark
Anne Jarstein Skjulsvik Norway
Jian Xie China
S Palković Germany
Gary E. Kraus United States
Yukui Wei China
Angela Mohr Germany
Franziska Vettermann Germany
Yukito Maeda
Citations per year, relative to Yukito Maeda Yukito Maeda (= 1×) peers Franziska Vettermann

Countries citing papers authored by Yukito Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Yukito Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukito Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Yukito Maeda. A scholar is included among the top collaborators of Yukito Maeda 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 Yukito Maeda. Yukito Maeda 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.
Kudomi, Nobuyuki, Yukito Maeda, Masatoshi Morimoto, et al.. (2025). Resolution and quality enhancement of SPECT cerebral blood flow images using Pix2pix deep learning. Annals of Nuclear Medicine. 40(3). 319–326.
2.
Okizaki, Atsutaka, Yoshihiro Nishiyama, Yoshitaka Inui, et al.. (2024). Nuclear medicine practice in Japan: a report of the ninth nationwide survey in 2022. Annals of Nuclear Medicine. 38(4). 315–327. 4 indexed citations
3.
Kudomi, Nobuyuki, Takashi Norikane, Yukito Maeda, et al.. (2024). Appearance time of blood in the brain as a possible indicator of oxygen extraction fraction: a feasibility study. EJNMMI Research. 14(1). 97–97. 2 indexed citations
4.
Iimori, Takashi, et al.. (2023). Administered dosage and effective dose estimated from 81Rb-rubidium hydroxide for lung ventilation scintigraphy using 81mKr noble gas. Radiation Protection Dosimetry. 200(2). 149–154. 1 indexed citations
5.
Maeda, Yukito, et al.. (2021). Investigation of the Administration Accuracy of an Auto Infusion Device in <sup>18</sup>F-FDG PET. Japanese Journal of Radiological Technology. 77(7). 726–730.
6.
Morimoto, Masatoshi, Nobuyuki Kudomi, Yukito Maeda, et al.. (2021). Effect of quantitative values on shortened acquisition duration in brain tumor 11C-methionine PET/CT. EJNMMI Physics. 8(1). 34–34. 2 indexed citations
7.
Norikane, Takashi, et al.. (2020). Focal myocardial perfusion abnormalities in cardiac amyloidosis as compared with CMR, bone scintigraphy, and 11C-PiB PET. Journal of Nuclear Cardiology. 28(5). 2408–2411. 1 indexed citations
8.
Maeda, Yukito, et al.. (2019). Investigation of Computed Tomography Exposure Dose for Whole-body <sup>18</sup>F-FDG PET/CT Examination in Chugoku-Shikoku Regions. Japanese Journal of Radiological Technology. 75(1). 62–67.
9.
Maeda, Yukito, et al.. (2016). Evaluation of Measurement Accuracy and Inter-institutional Comparison for Dose Calibrators. Japanese Journal of Radiological Technology. 72(5). 410–415. 2 indexed citations
10.
Maeda, Yukito, et al.. (2015). Evaluation of Resolution Correction in Single Photon Emission Computed Tomography Reconstruction Method Using a Body Phantom: Study of Three Different Models. Japanese Journal of Radiological Technology. 71(11). 1070–1079. 6 indexed citations
11.
Maeda, Yukito, Nobuyuki Kudomi, Hiroyuki Yamamoto, Yuka Yamamoto, & Yoshihiro Nishiyama. (2015). Image accuracy and quality test in rate constant depending on reconstruction algorithms with and without incorporating PSF and TOF in PET imaging. Annals of Nuclear Medicine. 29(7). 561–569. 1 indexed citations
12.
Norikane, Takashi, Yuka Yamamoto, Yukito Maeda, Takahisa Noma, & Yoshihiro Nishiyama. (2014). 18F-FLT PET Imaging in a Patient With Sarcoidosis With Cardiac Involvement. Clinical Nuclear Medicine. 40(5). 433–434. 17 indexed citations
13.
Kawai, Nobuyuki, Masahiko Kawanishi, Nobuyuki Kudomi, et al.. (2013). Detection of brain amyloid β deposition in patients with neuropsychological impairment after traumatic brain injury: PET evaluation using Pittsburgh Compound-B. Brain Injury. 27(9). 1026–1031. 47 indexed citations
14.
Kudomi, Nobuyuki, Yukito Maeda, Yasuhiro Sasakawa, et al.. (2013). Imaging of the appearance time of cerebral blood using [15O]H2O PET for the computation of correct CBF. EJNMMI Research. 3(1). 41–41. 8 indexed citations
15.
Norikane, Takashi, Yuka Yamamoto, Yukito Maeda, et al.. (2013). Correlation of 18F-fluoromisonidazole PET findings with HIF-1α and p53 expressions in head and neck cancer. Nuclear Medicine Communications. 35(1). 30–35. 36 indexed citations
16.
Yamamoto, Yuka, Yukito Maeda, Nobuyuki Kawai, et al.. (2012). Hypoxia assessed by 18F-fluoromisonidazole positron emission tomography in newly diagnosed gliomas. Nuclear Medicine Communications. 33(6). 621–625. 30 indexed citations
17.
18.
Kawai, Nobuyuki, Yukito Maeda, Nobuyuki Kudomi, et al.. (2010). Correlation of biological aggressiveness assessed by 11C-methionine PET and hypoxic burden assessed by 18F-fluoromisonidazole PET in newly diagnosed glioblastoma. European Journal of Nuclear Medicine and Molecular Imaging. 38(3). 441–450. 54 indexed citations
19.
Kawai, Nobuyuki, Shuichi Okubo, Keisuke Miyake, et al.. (2010). Use of PET in the diagnosis of primary CNS lymphoma in patients with atypical MR findings. Annals of Nuclear Medicine. 24(5). 335–343. 39 indexed citations
20.
Kawai, Nobuyuki, Keisuke Miyake, Yuka Yamamoto, et al.. (2009). Use of 11C-methionine positron emission tomography in basal germinoma: assessment of treatment response and residual tumor. Child s Nervous System. 25(7). 845–853. 10 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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