Keigo Shimoji

3.0k total citations
90 papers, 2.1k citations indexed

About

Keigo Shimoji is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Keigo Shimoji has authored 90 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Neurology and 19 papers in Cognitive Neuroscience. Recurrent topics in Keigo Shimoji's work include Advanced Neuroimaging Techniques and Applications (38 papers), Advanced MRI Techniques and Applications (15 papers) and Functional Brain Connectivity Studies (14 papers). Keigo Shimoji is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (38 papers), Advanced MRI Techniques and Applications (15 papers) and Functional Brain Connectivity Studies (14 papers). Keigo Shimoji collaborates with scholars based in Japan, United States and Australia. Keigo Shimoji's co-authors include Tomohiro Yamakura, Shigeki Aoki, Masaaki Hori, Koji Kamagata, Nobutaka Hattori, Osamu Abe, Atsushi Nakanishi, Michimasa Suzuki, Yumiko Motoi and Hideho Higashi and has published in prestigious journals such as Diabetes Care, The Journal of Physiology and Stroke.

In The Last Decade

Keigo Shimoji

85 papers receiving 2.0k citations

Peers

Keigo Shimoji
Keigo Shimoji
Citations per year, relative to Keigo Shimoji Keigo Shimoji (= 1×) peers Manouchehr Seyedi Vafaee

Countries citing papers authored by Keigo Shimoji

Since Specialization
Citations

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

Fields of papers citing papers by Keigo Shimoji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keigo Shimoji

This figure shows the co-authorship network connecting the top 25 collaborators of Keigo Shimoji. A scholar is included among the top collaborators of Keigo Shimoji 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 Keigo Shimoji. Keigo Shimoji 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.
Wada, Akihiko, Toshiaki Akashi, George Shih, et al.. (2024). Optimizing GPT-4 Turbo Diagnostic Accuracy in Neuroradiology through Prompt Engineering and Confidence Thresholds. Diagnostics. 14(14). 1541–1541. 13 indexed citations
2.
Saito, Yuya, Koji Kamagata, Christina Andica, et al.. (2023). Traveling Subject-Informed Harmonization Increases Reliability of Brain Diffusion Tensor and Neurite Mapping. Aging and Disease. 15(6). 0–0. 3 indexed citations
3.
Saito, Yuya, Koji Kamagata, Christina Andica, et al.. (2023). Glymphatic system impairment in corticobasal syndrome: diffusion tensor image analysis along the perivascular space (DTI-ALPS). Japanese Journal of Radiology. 41(11). 1226–1235. 13 indexed citations
4.
Wada, Akihiko, Toshiaki Akashi, Akifumi Hagiwara, et al.. (2023). Deep Learning‐Driven Transformation: A Novel Approach for Mitigating Batch Effects in Diffusion MRI Beyond Traditional Harmonization. Journal of Magnetic Resonance Imaging. 60(2). 510–522. 3 indexed citations
5.
Sakurai, Ryota, Hiroki Inagaki, Aya M. Tokumaru, et al.. (2021). Differences in the association between white matter hyperintensities and gait performance among older adults with and without cognitive impairment. Geriatrics and gerontology international. 21(3). 313–320. 9 indexed citations
6.
Hagiwara, Akifumi, Koji Kamagata, Keigo Shimoji, et al.. (2019). White Matter Abnormalities in Multiple Sclerosis Evaluated by Quantitative Synthetic MRI, Diffusion Tensor Imaging, and Neurite Orientation Dispersion and Density Imaging. American Journal of Neuroradiology. 40(10). 1642–1648. 50 indexed citations
7.
Kamagata, Koji, Andrew Zalesky, Kazumasa Yokoyama, et al.. (2019). MR g-ratio-weighted connectome analysis in patients with multiple sclerosis. Scientific Reports. 9(1). 13522–13522. 24 indexed citations
8.
Andica, Christina, Akifumi Hagiwara, Koji Kamagata, et al.. (2019). Gray Matter Alterations in Early and Late Relapsing-Remitting Multiple Sclerosis Evaluated with Synthetic Quantitative Magnetic Resonance Imaging. Scientific Reports. 9(1). 8147–8147. 21 indexed citations
9.
Ishibashi, Kenji, Keita Sakurai, Keigo Shimoji, Aya M. Tokumaru, & Kenji Ishii. (2018). Altered functional connectivity of the default mode network by glucose loading in young, healthy participants. BMC Neuroscience. 19(1). 33–33. 17 indexed citations
10.
Kamagata, Koji, Andrew Zalesky, Taku Hatano, et al.. (2017). Gray Matter Abnormalities in Idiopathic Parkinson's Disease: Evaluation by Diffusional Kurtosis Imaging and Neurite Orientation Dispersion and Density Imaging. Human Brain Mapping. 38(7). 3704–3722. 86 indexed citations
11.
Kamagata, Koji, Andrew Zalesky, Taku Hatano, et al.. (2017). Connectome analysis with diffusion MRI in idiopathic Parkinson's disease: Evaluation using multi-shell, multi-tissue, constrained spherical deconvolution. NeuroImage Clinical. 17. 518–529. 47 indexed citations
12.
Sakurai, Keita, Aya M. Tokumaru, Keigo Shimoji, et al.. (2017). Beyond the midbrain atrophy: wide spectrum of structural MRI finding in cases of pathologically proven progressive supranuclear palsy. Neuroradiology. 59(5). 431–443. 36 indexed citations
13.
Harada, Kenichiro, Koji Matsuo, Mami Nakashima, et al.. (2016). Disrupted orbitomedial prefrontal limbic network in individuals with later-life depression. Journal of Affective Disorders. 204. 112–119. 28 indexed citations
14.
Kamagata, Koji, Taku Hatano, Ayami Okuzumi, et al.. (2015). Neurite orientation dispersion and density imaging in the substantia nigra in idiopathic Parkinson disease. European Radiology. 26(8). 2567–2577. 96 indexed citations
15.
Shimoji, Keigo & W. D. Willis. (2006). Evoked spinal cord potentials : an illustrated guide to physiology, pharmacology, and recording techniques. Springer eBooks. 2 indexed citations
16.
Shimoji, Keigo, et al.. (2004). Spontaneous subacute intratumoral hemorrhage of hepatic cavernous hemangioma. Abdominal Imaging. 29(4). 443–5. 12 indexed citations
17.
Endoh, Hiroshi, et al.. (2001). Continuous intra-jugular venous blood-gas monitoring with the Paratrend 7 during hypothermic cardiopulmonary bypass †. British Journal of Anaesthesia. 87(2). 223–228. 8 indexed citations
18.
Shimoji, Keigo, H. Baba, Tomohiro Yamakura, et al.. (1996). Central nuclei and spinal pathways in feedback inhibitory spinal cord potentials in ketamine-anaesthetized rats. British Journal of Anaesthesia. 76(2). 258–265. 7 indexed citations
19.
Shimoji, Keigo, Seiji Uchiyama, Buichi Ishijima, et al.. (1992). Problems related to dorsal root entry zone lesions. Acta Neurochirurgica. 115(3-4). 71–78. 17 indexed citations
20.
Shimoji, Keigo, et al.. (1977). LOW-FREQUENCY, WEAK EXTRADURAL STIMULATION IN THE MANAGEMENT OF INTRACTABLE PAIN. British Journal of Anaesthesia. 49(11). 1081–1086. 11 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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