Taisuke Harada

788 total citations
53 papers, 559 citations indexed

About

Taisuke Harada is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Taisuke Harada has authored 53 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Neurology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Taisuke Harada's work include Advanced MRI Techniques and Applications (19 papers), Advanced Neuroimaging Techniques and Applications (13 papers) and MRI in cancer diagnosis (9 papers). Taisuke Harada is often cited by papers focused on Advanced MRI Techniques and Applications (19 papers), Advanced Neuroimaging Techniques and Applications (13 papers) and MRI in cancer diagnosis (9 papers). Taisuke Harada collaborates with scholars based in Japan, United States and Spain. Taisuke Harada's co-authors include Kohsuke Kudo, Noriyuki Fujima, Ikuko Uwano, Makoto Sasaki, Fumio Yamashita, Akihiro Homma, Hiroyuki Kameda, Hiroki Shirato, Khin Khin Tha and Satomi Higuchi and has published in prestigious journals such as Neurology, International Journal of Radiation Oncology*Biology*Physics and Medical Physics.

In The Last Decade

Taisuke Harada

50 papers receiving 554 citations

Peers

Taisuke Harada
Bundhit Tantiwongkosi United States
Bas Jasperse Netherlands
E. Edmund Kim South Korea
Christian Rubbert Germany
Barbara Bobek‐Billewicz Poland
Camilla Russo Italy
Masami Nishio Japan
Theodore J. Passe United States
Yangsean Choi South Korea
M Rossi Finland
Bundhit Tantiwongkosi United States
Taisuke Harada
Citations per year, relative to Taisuke Harada Taisuke Harada (= 1×) peers Bundhit Tantiwongkosi

Countries citing papers authored by Taisuke Harada

Since Specialization
Citations

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

Fields of papers citing papers by Taisuke Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taisuke Harada

This figure shows the co-authorship network connecting the top 25 collaborators of Taisuke Harada. A scholar is included among the top collaborators of Taisuke Harada 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 Taisuke Harada. Taisuke Harada 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
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Nakagawa, Junichi, Noriyuki Fujima, Kenji Hirata, et al.. (2024). Diagnosis of skull-base invasion by nasopharyngeal tumors on CT with a deep-learning approach. Japanese Journal of Radiology. 42(5). 450–459. 6 indexed citations
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Fujima, Noriyuki, Junichi Nakagawa, Yohei Ikebe, et al.. (2024). Improved image quality in contrast-enhanced 3D-T1 weighted sequence by compressed sensing-based deep-learning reconstruction for the evaluation of head and neck. Magnetic Resonance Imaging. 108. 111–115. 4 indexed citations
5.
Kawabori, Masahito, Satoshi Kuroda, Hideo Shichinohe, et al.. (2024). Intracerebral transplantation of MRI-trackable autologous bone marrow stromal cells for patients with subacute ischemic stroke. Med. 5(5). 432–444.e4. 12 indexed citations
6.
Kurokawa, Ryo, Mariko Kurokawa, Taisuke Harada, et al.. (2023). Dural and Leptomeningeal Diseases: Anatomy, Causes, and Neuroimaging Findings. Radiographics. 43(9). e230039–e230039. 6 indexed citations
7.
Kameda, Hiroyuki, Daisuke Kato, Takaaki Fujii, et al.. (2023). Magnetic Resonance Water Tracer Imaging Using 17O-Labeled Water. Investigative Radiology. 59(1). 92–103. 3 indexed citations
8.
Fujima, Noriyuki, Junichi Nakagawa, Hiroyuki Kameda, et al.. (2023). Improvement of image quality in diffusion-weighted imaging with model-based deep learning reconstruction for evaluations of the head and neck. Magnetic Resonance Materials in Physics Biology and Medicine. 37(3). 439–447. 10 indexed citations
9.
Nakagawa, Junichi, Noriyuki Fujima, Kenji Hirata, et al.. (2022). Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor. Cancer Imaging. 22(1). 52–52. 14 indexed citations
10.
Fujima, Noriyuki, Masami Yoneyama, Junichi Nakagawa, et al.. (2022). The utility of diffusion-weighted T2 mapping for the prediction of histological tumor grade in patients with head and neck squamous cell carcinoma. Quantitative Imaging in Medicine and Surgery. 12(8). 4024–4032. 5 indexed citations
11.
Asahina, Hajime, Naoko Yamaguchi, Utano Tomaru, et al.. (2021). A case of radio-insensitive SMARCA4-deficient thoracic undifferentiated carcinoma with severe right heart failure. Respiratory Medicine Case Reports. 32. 101364–101364. 3 indexed citations
12.
Fujima, Noriyuki, Hiroyuki Kameda, Taisuke Harada, et al.. (2020). Utility of a diffusion-weighted arterial spin labeling (DW-ASL) technique for evaluating the progression of brain white matter lesions. Magnetic Resonance Imaging. 69. 81–87. 9 indexed citations
13.
Mori, Futoshi, Fujimaro Ishida, Haruna Miyazawa, et al.. (2019). Computational Fluid Dynamics Analysis of Lateral Striate Arteries in Acute Ischemic Stroke Using 7T High-resolution Magnetic Resonance Angiography. Journal of Stroke and Cerebrovascular Diseases. 28(11). 104339–104339. 7 indexed citations
14.
Fujima, Noriyuki, Akihiro Homma, Taisuke Harada, et al.. (2019). The utility of MRI histogram and texture analysis for the prediction of histological diagnosis in head and neck malignancies. Cancer Imaging. 19(1). 5–5. 56 indexed citations
15.
Fujima, Noriyuki, Tomohiro Sakashita, Akihiro Homma, et al.. (2016). Advanced diffusion models in head and neck squamous cell carcinoma patients: Goodness of fit, relationships among diffusion parameters and comparison with dynamic contrast-enhanced perfusion. Magnetic Resonance Imaging. 36. 16–23. 32 indexed citations
16.
Sasaki, Makoto, Kohei Ito, Hideki Ohba, et al.. (2016). Intracranial Plaque Characterization in Patients with Acute Ischemic Stroke Using Pre- and Post-Contrast Three-Dimensional Magnetic Resonance Vessel Wall Imaging. Journal of Stroke and Cerebrovascular Diseases. 25(6). 1425–1430. 14 indexed citations
17.
Ito, Kenji, Makoto Sasaki, Chigumi Ohtsuka, et al.. (2015). Differentiation among parkinsonisms using quantitative diffusion kurtosis imaging. Neuroreport. 26(5). 267–272. 17 indexed citations
18.
Ito, Kenji, Masako Kudo, Makoto Sasaki, et al.. (2015). Detection of changes in the periaqueductal gray matter of patients with episodic migraine using quantitative diffusion kurtosis imaging: preliminary findings. Neuroradiology. 58(2). 115–120. 25 indexed citations
19.
Sasaki, Makoto, Hideki Ohba, Shinsuke Narumi, et al.. (2014). Detection of Vessel Wall Lesions in Spontaneous Symptomatic Vertebrobasilar Artery Dissection Using T1-weighted 3-dimensional Imaging. Journal of Stroke and Cerebrovascular Diseases. 23(9). 2419–2424. 24 indexed citations
20.
Harada, Taisuke, Tamotsu Kamishima, Satoshi Terae, Yuya Onodera, & Hiroki Shirato. (2013). Multi-Detector-Row CT Diagnosis of Adrenal Incidentaloma in Patients with Hepatocellular Carcinoma. 2(1). 34–40. 1 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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