Hajime Sakuma

10.1k total citations
349 papers, 6.7k citations indexed

About

Hajime Sakuma is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Hajime Sakuma has authored 349 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 238 papers in Radiology, Nuclear Medicine and Imaging, 92 papers in Cardiology and Cardiovascular Medicine and 73 papers in Biomedical Engineering. Recurrent topics in Hajime Sakuma's work include Cardiac Imaging and Diagnostics (170 papers), Advanced MRI Techniques and Applications (166 papers) and Advanced X-ray and CT Imaging (56 papers). Hajime Sakuma is often cited by papers focused on Cardiac Imaging and Diagnostics (170 papers), Advanced MRI Techniques and Applications (166 papers) and Advanced X-ray and CT Imaging (56 papers). Hajime Sakuma collaborates with scholars based in Japan, United States and Germany. Hajime Sakuma's co-authors include Kan Takeda, Kakuya Kitagawa, Masaki Ishida, Yasutaka Ichikawa, Masayuki Maeda, C B Higgins, Charles B. Higgins, Tadanori Hirano, Katsutoshi Makino and Jaakko Hartiala and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Hajime Sakuma

318 papers receiving 6.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hajime Sakuma Japan 44 4.5k 2.3k 1.3k 1.2k 991 349 6.7k
Jörg Barkhausen Germany 43 4.9k 1.1× 3.4k 1.5× 1.4k 1.0× 1.5k 1.3× 1.7k 1.7× 273 8.6k
Peter Gatehouse United Kingdom 47 5.9k 1.3× 3.4k 1.4× 1.2k 0.9× 921 0.8× 822 0.8× 190 8.5k
Gabriele A. Krombach Germany 36 2.0k 0.4× 1.2k 0.5× 878 0.7× 812 0.7× 734 0.7× 229 4.2k
John P. Ridgway United Kingdom 34 4.1k 0.9× 2.9k 1.2× 959 0.7× 653 0.6× 439 0.4× 85 5.8k
Bernd J. Wintersperger Germany 45 5.3k 1.2× 2.3k 1.0× 1.5k 1.1× 995 0.9× 2.4k 2.4× 190 7.1k
James Carr United States 48 4.6k 1.0× 4.5k 1.9× 1.4k 1.1× 3.4k 2.9× 513 0.5× 374 9.2k
Thomas Foo United States 39 3.6k 0.8× 1.5k 0.6× 606 0.5× 810 0.7× 601 0.6× 153 4.9k
Lorenzo Bonomo Italy 45 2.5k 0.6× 609 0.3× 1.9k 1.4× 1.7k 1.5× 966 1.0× 235 6.9k
Joachim Lotz Germany 39 2.7k 0.6× 3.0k 1.3× 2.8k 2.1× 1.3k 1.1× 638 0.6× 219 7.4k
Gerhard Laub United States 46 5.5k 1.2× 1.2k 0.5× 841 0.6× 2.0k 1.7× 454 0.5× 165 7.3k

Countries citing papers authored by Hajime Sakuma

Since Specialization
Citations

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

Fields of papers citing papers by Hajime Sakuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hajime Sakuma

This figure shows the co-authorship network connecting the top 25 collaborators of Hajime Sakuma. A scholar is included among the top collaborators of Hajime Sakuma 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 Hajime Sakuma. Hajime Sakuma 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.
Fujimoto, Naoki, Shiro Nakamori, Taku Omori, et al.. (2025). Effects of Sacubitril/Valsartan on Myocardial Tissue in Heart Failure With Left Ventricular Ejection Fraction Below 50%. Circulation Journal. 89(7). 901–911. 2 indexed citations
3.
Hasegawa, Daisuke, Satoshi Nakamura, Masafumi Takafuji, Hajime Sakuma, & Kakuya Kitagawa. (2024). Test-retest reproducibility of absolute myocardial blood flow obtained using stress dynamic CT myocardial perfusion imaging. IJC Heart & Vasculature. 55. 101510–101510.
4.
Ogier, Augustin C., Masaki Ishida, Masafumi Takafuji, et al.. (2024). Self‐gated free‐running 5D whole‐heart MRI using blind source separation for automated cardiac motion extraction. Magnetic Resonance in Medicine. 93(3). 961–974. 1 indexed citations
6.
7.
Nakamori, Shiro, Amine Amyar, Ahmed S. Fahmy, et al.. (2024). Cardiovascular Magnetic Resonance Radiomics to Identify Components of the Extracellular Matrix in Dilated Cardiomyopathy. Circulation. 150(1). 7–18. 9 indexed citations
8.
Takada, Akinori, et al.. (2024). Expression of Tenascin-C Is Upregulated in the Early Stages of Radiation Pneumonitis/Fibrosis in a Novel Mouse Model. Current Issues in Molecular Biology. 46(9). 9674–9685.
9.
Ichikawa, Yasutaka, Ken Nakajima, Tadaharu Kobayashi, et al.. (2024). Low energy virtual monochromatic CT with deep learning image reconstruction to improve delineation of endoleaks. Clinical Radiology. 79(10). e1260–e1267. 2 indexed citations
10.
Nakamura, Satoshi, Masaki Ishida, Kei Nakata, et al.. (2023). Complementary prognostic value of stress perfusion imaging and global coronary flow reserve derived from cardiovascular magnetic resonance: a long-term cohort study. Journal of Cardiovascular Magnetic Resonance. 25(1). 20–20. 5 indexed citations
11.
Ichikawa, Yasutaka, Motonori Nagata, Masaki Ishida, et al.. (2023). Mixed epithelial and stromal tumor of the kidney with long-term imaging follow-up. SHILAP Revista de lepidopterología. 18(9). 3212–3217. 2 indexed citations
12.
Maeda, Masayuki, et al.. (2023). Cortical Brush Sign: A Novel Finding on Thin-slice 3T Susceptibility-weighted Imaging in Acute Cerebral Infarct and Cerebral Venous Thrombosis. Magnetic Resonance in Medical Sciences. 23(2). 238–241. 1 indexed citations
13.
Ishida, Masaki, Jérôme Yerly, Masafumi Takafuji, et al.. (2023). Optimal Protocol for Contrast-enhanced Free-running 5D Whole-heart Coronary MR Angiography at 3T. Magnetic Resonance in Medical Sciences. 23(2). 225–237. 7 indexed citations
14.
Takafuji, Masafumi, et al.. (2023). Super-Resolution Deep Learning Reconstruction for Improved Image Quality of Coronary CT Angiography. Radiology Cardiothoracic Imaging. 5(4). e230085–e230085. 20 indexed citations
15.
Nii, Masafumi, Shintaro Maki, Masaki Ishida, et al.. (2023). COVID-19 during pregnancy could potentially affect placental function. The Journal of Maternal-Fetal & Neonatal Medicine. 36(2). 2265021–2265021. 2 indexed citations
16.
Ichikawa, Yasutaka, Akio Yamazaki, Naoki Nagasawa, et al.. (2021). Deep learning image reconstruction for improvement of image quality of abdominal computed tomography: comparison with hybrid iterative reconstruction. Japanese Journal of Radiology. 39(6). 598–604. 51 indexed citations
17.
Takafuji, Masafumi, Kakuya Kitagawa, Masaki Ishida, et al.. (2021). Clinical Validation of the Accuracy of Absolute Myocardial Blood Flow Quantification with Dual-Source CT Using 15O-Water PET. Radiology Cardiothoracic Imaging. 3(5). e210060–e210060. 12 indexed citations
19.
Nakajima, Ken, Noriyuki Kato, Takashi Hashimoto, et al.. (2017). Treatment of Infected Aneurysm with Combined Endovascular Aneurysm Repair and Abscess Drainage. Journal of Vascular and Interventional Radiology. 29(2). 188–193. 12 indexed citations
20.
Sakuma, Hajime. (2008). 4 Prudent Use of New Coronary Imaging Methods in the Real World : Asian Viewpoint(APSC-JCS Joint Symposium (APSC-JCS Joint Symposium) (I) Cardiac Imaging in Asia,Special Program,The 72nd Annual Scientific Meeting of the Japanese Circulation Society). Japanese Circulation Journal-english Edition. 72. 68. 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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