Daisuke Sakabe

600 total citations
35 papers, 403 citations indexed

About

Daisuke Sakabe is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery. According to data from OpenAlex, Daisuke Sakabe has authored 35 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Biomedical Engineering and 4 papers in Surgery. Recurrent topics in Daisuke Sakabe's work include Advanced X-ray and CT Imaging (27 papers), Radiation Dose and Imaging (26 papers) and Medical Imaging Techniques and Applications (14 papers). Daisuke Sakabe is often cited by papers focused on Advanced X-ray and CT Imaging (27 papers), Radiation Dose and Imaging (26 papers) and Medical Imaging Techniques and Applications (14 papers). Daisuke Sakabe collaborates with scholars based in Japan, United States and Brazil. Daisuke Sakabe's co-authors include Takeshi Nakaura, Masafumi Kidoh, Yoshinori Funama, Yasunori Nagayama, Seitaro Oda, Toshinori Hirai, Takafumi Emoto, Seitaro Oda, Masahiro Hatemura and Yasuyuki Yamashita and has published in prestigious journals such as American Journal of Roentgenology, Medicine and Radiographics.

In The Last Decade

Daisuke Sakabe

33 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daisuke Sakabe Japan	13	348	286	43	41	36	35	403
Takafumi Emoto Japan	10	265 0.8×	203 0.7×	35 0.8×	50 1.2×	20 0.6×	16	313
Johannes Simon Germany	7	306 0.9×	215 0.8×	45 1.0×	22 0.5×	41 1.1×	11	380
Garrett W. Rowe United States	10	547 1.6×	476 1.7×	23 0.5×	34 0.8×	55 1.5×	11	595
Aaron So Canada	15	551 1.6×	454 1.6×	48 1.1×	95 2.3×	52 1.4×	40	690
Scherwin Mahmoudi Germany	9	165 0.5×	155 0.5×	31 0.7×	11 0.3×	58 1.6×	51	268
Antonio Moscariello Germany	8	422 1.2×	337 1.2×	43 1.0×	66 1.6×	63 1.8×	9	472
Yuriko Yoshida Japan	10	178 0.5×	115 0.4×	133 3.1×	26 0.6×	16 0.4×	17	294
Ahmed Emad Egypt	7	189 0.5×	72 0.3×	54 1.3×	121 3.0×	47 1.3×	21	352
Franziska Braun Germany	11	438 1.3×	421 1.5×	44 1.0×	24 0.6×	31 0.9×	30	489
Gilberto J. Aquino United States	14	530 1.5×	341 1.2×	102 2.4×	136 3.3×	68 1.9×	35	619

Countries citing papers authored by Daisuke Sakabe

Since Specialization

Citations

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

Fields of papers citing papers by Daisuke Sakabe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Sakabe

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

Nagayama, Yasunori, T Inoue, Yoshinori Funama, et al.. (2025). Super-resolution deep-learning reconstruction with 1024 matrix improves CT image quality for pancreatic ductal adenocarcinoma assessment. European Journal of Radiology. 184. 111953–111953. 2 indexed citations

Kobayashi, Naoki, Takeshi Nakaura, Hiroyuki Uetani, et al.. (2024). A Novel Approach to Detecting Contrast Extravasation in Computed Tomography: Evaluating the Injection Pressure-to-Injection Rate Ratio. Journal of Computer Assisted Tomography. 49(1). 125–132.

Emoto, Takafumi, Yasunori Nagayama, Daisuke Sakabe, et al.. (2024). Super-resolution deep-learning reconstruction for cardiac CT: impact of radiation dose and focal spot size on task-based image quality. Physical and Engineering Sciences in Medicine. 47(3). 1001–1014. 3 indexed citations

Kobayashi, Naoki, Takeshi Nakaura, Naofumi Yoshida, et al.. (2024). Impact of deep learning reconstruction on radiation dose reduction and cancer risk in CT examinations: a real-world clinical analysis. European Radiology. 35(6). 3499–3507. 2 indexed citations

Nagayama, Yasunori, Makoto Goto, Daisuke Sakabe, et al.. (2022). Radiation dose optimization potential of deep learning-based reconstruction for multiphase hepatic CT: A clinical and phantom study. European Journal of Radiology. 151. 110280–110280. 14 indexed citations

Oda, Seitaro, Daisuke Sakabe, Hidetaka Hayashi, et al.. (2022). Practical Preventive Strategies for Extravasation of Contrast Media During CT: What the Radiology Team Should Do. Academic Radiology. 29(10). 1555–1559. 4 indexed citations

Oda, Seitaro, Takafumi Emoto, Masafumi Kidoh, et al.. (2022). Myocardial extracellular volume quantification by cardiac CT in pulmonary hypertension: Comparison with cardiac MRI. European Journal of Radiology. 153. 110386–110386. 12 indexed citations

Goto, Makoto, Yasunori Nagayama, Daisuke Sakabe, et al.. (2022). Lung-Optimized Deep-Learning-Based Reconstruction for Ultralow-Dose CT. Academic Radiology. 30(3). 431–440. 18 indexed citations

Nagayama, Yasunori, Daisuke Sakabe, Makoto Goto, et al.. (2021). Deep Learning–based Reconstruction for Lower-Dose Pediatric CT: Technical Principles, Image Characteristics, and Clinical Implementations. Radiographics. 41(7). 1936–1953. 51 indexed citations

10.

Gotoh, Mitsukazu, Takeshi Nakaura, Yoshinori Funama, et al.. (2021). Virtual magnetic resonance lumbar spine images generated from computed tomography images using conditional generative adversarial networks. Radiography. 28(2). 447–453. 8 indexed citations

11.

Kidoh, Masafumi, Seitaro Oda, Daisuke Sakabe, et al.. (2021). Assessment of cardiac implantable electric device lead perforation using a metal artifact reduction algorithm in cardiac computed tomography. European Journal of Radiology. 136. 109530–109530. 3 indexed citations

12.

Funama, Yoshinori, Seitaro Oda, Masafumi Kidoh, et al.. (2021). Conditional generative adversarial networks to generate pseudo low monoenergetic CT image from a single-tube voltage CT scanner. Physica Medica. 83. 46–51. 8 indexed citations

13.

Kawasaki, Tomohiro, Masafumi Kidoh, Teruhito Kido, et al.. (2020). Evaluation of Significant Coronary Artery Disease Based on CT Fractional Flow Reserve and Plaque Characteristics Using Random Forest Analysis in Machine Learning. Academic Radiology. 27(12). 1700–1708. 18 indexed citations

14.

Emoto, Takafumi, Seitaro Oda, Masafumi Kidoh, et al.. (2020). Myocardial Extracellular Volume Quantification Using Cardiac Computed Tomography: A Comparison of the Dual-energy Iodine Method and the Standard Subtraction Method. Academic Radiology. 28(5). e119–e126. 37 indexed citations

15.

Yokota, Yasuhiro, Masafumi Kidoh, Seitaro Oda, et al.. (2019). Contrast Enhancement Boost Technique at Aortic Computed Tomography Angiography: Added Value for the Evaluation of Type II Endoleaks After Endovascular Aortic Aneurysm Repair. Academic Radiology. 26(11). 1435–1440. 18 indexed citations

16.

Nagayama, Yasunori, Shota Tanoue, Seitaro Oda, et al.. (2019). Metal Artifact Reduction in Head CT Performed for Patients with Deep Brain Stimulation Devices: Effectiveness of a Single-Energy Metal Artifact Reduction Algorithm. American Journal of Neuroradiology. 41(2). 231–237. 8 indexed citations

17.

Sakabe, Daisuke, Yoshinori Funama, Katsuyuki Taguchi, et al.. (2018). Image quality characteristics for virtual monoenergetic images using dual-layer spectral detector CT: Comparison with conventional tube-voltage images. Physica Medica. 49. 5–10. 28 indexed citations

18.

Hirata, Kenichiro, Daisuke Utsunomiya, Masafumi Kidoh, et al.. (2018). Tradeoff between noise reduction and inartificial visualization in a model-based iterative reconstruction algorithm on coronary computed tomography angiography. Medicine. 97(20). e10810–e10810. 6 indexed citations

19.

Kidoh, Masafumi, Daisuke Utsunomiya, Seitaro Oda, et al.. (2016). Breast dose reduction for chest CT by modifying the scanning parameters based on the pre-scan size-specific dose estimate (SSDE). European Radiology. 27(6). 2267–2274. 10 indexed citations

20.

Funama, Yoshinori, et al.. (2009). Image Noise and Radiation Dose Using an Automatic Tube Current Modulation Technique at 64-Detector Computed Tomography. Journal of Computer Assisted Tomography. 33(6). 973–977. 14 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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