Kakuya Kitagawa

6.4k total citations
134 papers, 3.7k citations indexed

About

Kakuya Kitagawa is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kakuya Kitagawa has authored 134 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Radiology, Nuclear Medicine and Imaging, 59 papers in Biomedical Engineering and 38 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kakuya Kitagawa's work include Cardiac Imaging and Diagnostics (108 papers), Advanced MRI Techniques and Applications (79 papers) and Advanced X-ray and CT Imaging (52 papers). Kakuya Kitagawa is often cited by papers focused on Cardiac Imaging and Diagnostics (108 papers), Advanced MRI Techniques and Applications (79 papers) and Advanced X-ray and CT Imaging (52 papers). Kakuya Kitagawa collaborates with scholars based in Japan, United States and Germany. Kakuya Kitagawa's co-authors include Hajime Sakuma, João A.C. Lima, Richard T. George, Albert C. Lardo, Masaki Ishida, Yasutaka Ichikawa, David A. Bluemke, Kan Takeda, Armin Arbab‐Zadeh and Kaoru Dohi and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Kakuya Kitagawa

124 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kakuya Kitagawa Japan	34	2.9k	1.5k	1.2k	640	203	134	3.7k
Rolf Gebker Germany	32	2.6k 0.9×	2.1k 1.4×	354 0.3×	619 1.0×	255 1.3×	117	3.5k
Yoo Jin Hong South Korea	28	1.5k 0.5×	1.0k 0.7×	572 0.5×	420 0.7×	588 2.9×	127	2.6k
Wanda Acampa Italy	26	1.5k 0.5×	905 0.6×	452 0.4×	521 0.8×	101 0.5×	158	2.2k
Alessia Gimelli Italy	28	1.8k 0.6×	1.3k 0.9×	529 0.4×	442 0.7×	272 1.3×	171	2.6k
Manish Motwani United Kingdom	27	1.3k 0.5×	1.2k 0.8×	387 0.3×	603 0.9×	214 1.1×	105	2.2k
Timothy F. Christian United States	31	2.8k 1.0×	2.6k 1.7×	521 0.4×	1.1k 1.7×	100 0.5×	96	3.9k
Kenneth J. Nichols United States	25	1.6k 0.6×	872 0.6×	404 0.3×	580 0.9×	230 1.1×	94	2.5k
Reza Arsanjani United States	23	1.1k 0.4×	1.1k 0.8×	408 0.3×	548 0.9×	228 1.1×	175	2.1k
Aleksandra Radjenovic United Kingdom	27	2.5k 0.9×	1.7k 1.2×	272 0.2×	579 0.9×	320 1.6×	75	3.4k
Hui Xue United States	31	2.3k 0.8×	1.7k 1.2×	330 0.3×	386 0.6×	136 0.7×	126	3.1k

Countries citing papers authored by Kakuya Kitagawa

Since Specialization

Citations

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

Fields of papers citing papers by Kakuya Kitagawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kakuya Kitagawa

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

Takafuji, Masafumi, Satoshi Fujita, Masaki Ishida, et al.. (2025). Myocardial extracellular volume fraction estimations using late enhancement CT in patients with atrial fibrillation: a comparative study with cardiac MR.. The International Journal of Cardiovascular Imaging. 41(3). 419–426.

Nakamura, Satoshi, et al.. (2025). Impact of contrast medium volume on myocardial extracellular volume measurement accuracy in first-generation photon-counting detector CT. The International Journal of Cardiovascular Imaging. 42(3). 423–434.

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.

Ichikawa, Yasutaka, et al.. (2024). Usefulness of second-generation motion correction algorithm in improving delineation and reducing motion artifact of coronary computed tomography angiography. Journal of cardiovascular computed tomography. 18(3). 281–290. 6 indexed citations

Kim, Cherry, Chul Hwan Park, Eun‐Ju Kang, et al.. (2024). 2024 Consensus Statement on Coronary Stenosis and Plaque Evaluation in CT Angiography From the Asian Society of Cardiovascular Imaging-Practical Tutorial (ASCI-PT). Korean Journal of Radiology. 25(4). 331–331. 2 indexed citations

Kitagawa, Kakuya, et al.. (2024). Integrating myocardial CT perfusion with coronary CT angiography improves risk stratification in patients with dialysis-dependent end-stage renal disease. Japanese Journal of Radiology. 43(3). 402–411.

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

Michallek, Florian, Satoshi Nakamura, Tairo Kurita, et al.. (2023). Differentiating Macrovascular and Microvascular Ischemia Using Fractal Analysis of Dynamic Myocardial Perfusion Stress-CT. Investigative Radiology. 59(5). 413–423. 2 indexed citations

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

10.

Takada, Akinori, Yasutaka Ichikawa, Satoshi Nakamura, et al.. (2022). Preliminary results of reduced myocardial blood flow in the subacute phase after radiation therapy for thoracic esophageal cancer: A quantitative analysis with stress dynamic myocardial computed tomography perfusion imaging. Radiotherapy and Oncology. 177. 191–196. 2 indexed citations

11.

Park, Chul Hwan, Cherry Kim, Eun‐Ju Kang, et al.. (2021). Semi-Quantitative Scoring of Late Gadolinium Enhancement of the Left Ventricle in Patients with Ischemic Cardiomyopathy: Consensus Statement from the Asian Society of Cardiovascular Imaging-Practical Tutorial (ASCI-PT) 2020. YUHSpace (Yonsei University Medical Library). 5(2). 26–26. 1 indexed citations

12.

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

13.

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

14.

Omori, Taku, Shiro Nakamori, Naoki Fujimoto, et al.. (2020). Myocardial Native T1 Predicts Load-Independent Left Ventricular Chamber Stiffness In Patients With HFpEF. JACC. Cardiovascular imaging. 13(10). 2117–2128. 14 indexed citations

15.

Nagasawa, Naoki, et al.. (2018). Development of Animation Projector System and Usefulness in Pediatric Head CT. Japanese Journal of Radiological Technology. 74(12). 1428–1433.

16.

Yoon, Yeonyee E., Kakuya Kitagawa, Shingo Kato, et al.. (2012). Prognostic Value of Coronary Magnetic Resonance Angiography for Prediction of Cardiac Events in Patients With Suspected Coronary Artery Disease. Journal of the American College of Cardiology. 60(22). 2316–2322. 38 indexed citations

17.

George, Richard T., Armin Arbab‐Zadeh, Rodrigo Cerci, et al.. (2010). Abstract 19969: Combined Non-invasive Coronary Angiography and Myocardial Perfusion Imaging Using 320 Row Detector Computed Tomography: CT Perfusion Acquisition, Reconstruction, and Analysis Methods of the CORE-320 Multi-center Cohort Study. Circulation. 122(10). 2013–2026. 1 indexed citations

18.

Wu, Kathérine C., Robert G. Weiss, David R. Thiemann, et al.. (2008). Late Gadolinium Enhancement by Cardiovascular Magnetic Resonance Heralds an Adverse Prognosis in Nonischemic Cardiomyopathy. Journal of the American College of Cardiology. 51(25). 2414–2421. 441 indexed citations

19.

Kitagawa, Kakuya, et al.. (2007). Abstract 1902: Comparison of 256×0.5mm and 64×0.5mm Multidetector Computed Tomography Image Quality and Accuracy in a Custom-Designed, Motion-Simulating Phantom of Coronary Artery Stenosis. Circulation. 116(4). 676–84. 1 indexed citations

20.

Kitagawa, Kakuya & S Hayasaka. (1996). Central serous chorioretinopathy in a patient with ulcerative colitis. 28(2). 118–120. 2 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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