Masafumi Kidoh

3.4k total citations
180 papers, 2.3k citations indexed

About

Masafumi Kidoh is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Masafumi Kidoh has authored 180 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Radiology, Nuclear Medicine and Imaging, 93 papers in Biomedical Engineering and 27 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Masafumi Kidoh's work include Advanced X-ray and CT Imaging (92 papers), Radiation Dose and Imaging (77 papers) and Cardiac Imaging and Diagnostics (57 papers). Masafumi Kidoh is often cited by papers focused on Advanced X-ray and CT Imaging (92 papers), Radiation Dose and Imaging (77 papers) and Cardiac Imaging and Diagnostics (57 papers). Masafumi Kidoh collaborates with scholars based in Japan, United States and United Kingdom. Masafumi Kidoh's co-authors include Takeshi Nakaura, Yasuyuki Yamashita, Seitaro Oda, Daisuke Utsunomiya, Yoshinori Funama, Yasunori Nagayama, Kazunori Harada, Hideaki Yuki, Toshinori Hirai and Tomohiro Namimoto and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.

In The Last Decade

Masafumi Kidoh

168 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masafumi Kidoh Japan	25	1.8k	1.2k	320	224	202	180	2.3k
Yoshinori Funama Japan	32	3.1k 1.7×	2.4k 2.1×	542 1.7×	262 1.2×	167 0.8×	193	3.5k
Georg Mühlenbruch Germany	33	1.7k 0.9×	878 0.8×	603 1.9×	299 1.3×	553 2.7×	82	2.5k
Yasunori Nagayama Japan	20	989 0.6×	726 0.6×	156 0.5×	141 0.6×	118 0.6×	113	1.3k
Cheng Hong China	20	1.2k 0.7×	676 0.6×	560 1.8×	266 1.2×	262 1.3×	84	1.9k
Kenneth J. Nichols United States	25	1.6k 0.9×	404 0.3×	230 0.7×	580 2.6×	872 4.3×	94	2.5k
Simon S. Martin Germany	30	1.9k 1.1×	1.9k 1.7×	239 0.7×	318 1.4×	169 0.8×	139	2.6k
Yoo Jin Hong South Korea	28	1.5k 0.8×	572 0.5×	588 1.8×	420 1.9×	1.0k 5.1×	127	2.6k
K.T. Bae United States	13	1.1k 0.6×	693 0.6×	272 0.8×	172 0.8×	31 0.2×	25	1.5k
Carsten Rist Germany	23	2.0k 1.1×	1.1k 1.0×	443 1.4×	724 3.2×	541 2.7×	39	2.9k
Jan‐Erik Scholtz Germany	26	1.4k 0.8×	1.2k 1.1×	287 0.9×	229 1.0×	157 0.8×	86	1.8k

Countries citing papers authored by Masafumi Kidoh

Since Specialization

Citations

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

Fields of papers citing papers by Masafumi Kidoh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masafumi Kidoh

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

Matsumoto, Yosuke, et al.. (2026). Does adding a delayed phase to cardiac computed tomography for coronary artery evaluation have prognostic value?. European Heart Journal - Cardiovascular Imaging.

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

Nakaura, Takeshi, Naofumi Yoshida, Hiroyuki Uetani, et al.. (2025). Impact of super-resolution deep learning-based reconstruction for hippocampal MRI: A volunteer and phantom study. European Journal of Radiology. 191. 112289–112289.

Kidoh, Masafumi, Seitaro Oda, Seiji Takashio, et al.. (2025). MRI-Extracellular Volume Fraction Versus Histological Amyloid Load in Cardiac Amyloidosis: The Importance of T2 Mapping. Circulation Cardiovascular Imaging. 18(5). e017427–e017427. 2 indexed citations

Takashio, Seiji, Kyoko Hirakawa, Shinsuke Hanatani, et al.. (2024). Clinical characteristics of patients with high extracellular volume fraction evaluated by cardiac computed tomography for coronary artery evaluation. European Heart Journal Open. 4(3). oeae036–oeae036. 1 indexed citations

Funama, Yoshinori, Yasunori Nagayama, Daisuke Sakabe, et al.. (2024). Advances in spatial resolution and radiation dose reduction using super-resolution deep learning–based reconstruction for abdominal computed tomography: A phantom study. Academic Radiology. 32(3). 1517–1524. 2 indexed citations

Hata, Yoshiki, Takeshi Nakaura, Katsushi Hashimoto, et al.. (2024). Machine Learning for Evaluating Vulnerable Plaque on Coronary Computed Tomography Using Spectral Imaging. Circulation Reports. 6(12). 564–572.

Kidoh, Masafumi, Seitaro Oda, Noriaki Tabata, et al.. (2024). CT-derived extracellular volume fraction in aortic stenosis, cardiac amyloidosis, and dual pathology. European Heart Journal - Cardiovascular Imaging. 26(3). 509–517. 1 indexed citations

Nagayama, Yasunori, Hiroyuki Uetani, Makoto Goto, et al.. (2023). Deep learning-based reconstruction can improve the image quality of low radiation dose head CT. European Radiology. 33(5). 3253–3265. 19 indexed citations

10.

Oda, Seitaro, Masafumi Kidoh, Kyoko Hirakawa, et al.. (2023). Pulmonary arterial hypertension associated with portal hypertension: Noninvasive comprehensive assessment using computed tomography. SHILAP Revista de lepidopterología. 19(2). 671–674. 2 indexed citations

11.

Kidoh, Masafumi, Seitaro Oda, Seiji Takashio, et al.. (2023). Cardiac MRI–derived Extracellular Volume Fraction versus Myocardium-to-Lumen R1 Ratio at Postcontrast T1 Mapping for Detecting Cardiac Amyloidosis. Radiology Cardiothoracic Imaging. 5(2). e220327–e220327. 5 indexed citations

12.

Kidoh, Masafumi, Seitaro Oda, Seiji Takashio, et al.. (2022). CT Extracellular Volume Fraction versus Myocardium-to-Lumen Signal Ratio for Cardiac Amyloidosis. Radiology. 306(3). e220542–e220542. 18 indexed citations

13.

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

14.

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

15.

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

16.

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

17.

Nagayama, Yasunori, Seitaro Oda, Takeshi Nakaura, et al.. (2018). Radiation Dose Reduction at Pediatric CT: Use of Low Tube Voltage and Iterative Reconstruction. Radiographics. 38(5). 1421–1440. 100 indexed citations

18.

Nakaura, Takeshi, Yuji Iyama, Masafumi Kidoh, et al.. (2018). Spiral flow-generating tube for saline chaser improves aortic enhancement in Gd-EOB-DTPA-enhanced hepatic MRI. European Radiology. 29(4). 2009–2016. 2 indexed citations

19.

Inoue, T, Takeshi Nakaura, Morikatsu Yoshida, et al.. (2017). Diagnosis of small posterior fossa stroke on brain CT: effect of iterative reconstruction designed for brain CT on detection performance. European Radiology. 27(9). 3710–3715. 11 indexed citations

20.

Yamamura, Shinji, Seitaro Oda, Masanori Imuta, et al.. (2015). Reducing the Radiation Dose for CT Colonography. Academic Radiology. 23(2). 155–162. 12 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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