Ryuta Ito

917 total citations
28 papers, 671 citations indexed

About

Ryuta Ito is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Ryuta Ito has authored 28 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 10 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Cognitive Neuroscience. Recurrent topics in Ryuta Ito's work include Peripheral Artery Disease Management (10 papers), Muscle and Compartmental Disorders (7 papers) and Advanced MRI Techniques and Applications (6 papers). Ryuta Ito is often cited by papers focused on Peripheral Artery Disease Management (10 papers), Muscle and Compartmental Disorders (7 papers) and Advanced MRI Techniques and Applications (6 papers). Ryuta Ito collaborates with scholars based in Japan and United States. Ryuta Ito's co-authors include Akihiko Shiino, Mikio Suzuki, Elias R. Melhem, Susumu Mori, Hiroya Kitano, Yoshiro Yazawa, Kazutomo Kitajima, Yasuhiro Nishida, Satoshi Nakasu and Toshiro Inubushi and has published in prestigious journals such as Neurology, European Heart Journal and Journal of Cerebral Blood Flow & Metabolism.

In The Last Decade

Ryuta Ito

26 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryuta Ito Japan 13 265 257 188 83 63 28 671
Bornali Kundu United States 17 405 1.5× 141 0.5× 106 0.6× 68 0.8× 57 0.9× 39 872
Maria Marcella Laganà Italy 19 205 0.8× 435 1.7× 77 0.4× 56 0.7× 55 0.9× 69 949
Jesper Frandsen Denmark 13 139 0.5× 324 1.3× 70 0.4× 48 0.6× 80 1.3× 26 661
Birger Johnsen Denmark 22 157 0.6× 275 1.1× 132 0.7× 194 2.3× 20 0.3× 63 1.3k
Franco Chioffi Italy 18 268 1.0× 391 1.5× 95 0.5× 78 0.9× 104 1.7× 42 929
Toshiteru Miyasaka Japan 15 89 0.3× 174 0.7× 125 0.7× 34 0.4× 118 1.9× 58 640
Ashwani Jha United Kingdom 21 679 2.6× 107 0.4× 169 0.9× 66 0.8× 48 0.8× 41 1.7k
Imke Galazky Germany 14 184 0.7× 112 0.4× 153 0.8× 44 0.5× 25 0.4× 36 848
Christian Mathys Germany 18 209 0.8× 317 1.2× 73 0.4× 55 0.7× 97 1.5× 56 837
Jérémy Deverdun France 18 539 2.0× 524 2.0× 112 0.6× 31 0.4× 79 1.3× 53 1.2k

Countries citing papers authored by Ryuta Ito

Since Specialization
Citations

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

Fields of papers citing papers by Ryuta Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryuta Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Ryuta Ito. A scholar is included among the top collaborators of Ryuta Ito 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 Ryuta Ito. Ryuta Ito 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.
Kawai, Norikazu, Narihiro Ishida, Yu Nakamura, et al.. (2024). Prognostic value of C-reactive protein / albumin ratio for amputation and/or mortality after lower extremity revascularization in haemodialysis patients with peripheral artery disease. European Heart Journal. 45(Supplement_1). 1 indexed citations
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Ito, Ryuta, et al.. (2022). Drug-coated balloons versus drug-eluting stents for coronary de novo lesions in dialysis patients. Heart and Vessels. 38(3). 300–308. 7 indexed citations
6.
Ito, Ryuta, et al.. (2021). Outcomes after drug-coated balloon interventions for de novo coronary lesions in the patients on chronic hemodialysis. Heart and Vessels. 36(11). 1646–1652. 6 indexed citations
7.
Ito, Ryuta, et al.. (2021). Comparison between biodegradable- and durable-polymer everolimus-eluting stents in hemodialysis patients with coronary artery disease. Cardiovascular Intervention and Therapeutics. 37(3). 475–482. 4 indexed citations
8.
Shiino, Akihiko, et al.. (2021). Machine Learning for Diagnosis of AD and Prediction of MCI Progression From Brain MRI Using Brain Anatomical Analysis Using Diffeomorphic Deformation. Frontiers in Neurology. 11. 576029–576029. 47 indexed citations
9.
Ito, Ryuta, et al.. (2020). Long‐term clinical outcomes after self‐expandable bare nitinol stent implantation for femoropopliteal occlusive disease in hemodialysis patients. Catheterization and Cardiovascular Interventions. 97(2). 318–324. 1 indexed citations
10.
Takahashi, Hiroshi, Yoshitaka Kumada, Hideki Ishii, et al.. (2020). P1256THE ASSOCIATION PROTEIN-ENERGY WASTING AND INFLAMMATION STATUS WITH MORTALITY AFTER LOWER EXTREMITIES REVASCULARIZATION IN PATIENTS ON HAEMODIALYSIS. Nephrology Dialysis Transplantation. 35(Supplement_3).
11.
Kumada, Yoshitaka, Hideki Ishii, Toru Aoyama, et al.. (2018). Long-term clinical outcomes after coronary artery bypass graft versus everolimus-eluting stent implantation in chronic hemodialysis patients. Coronary Artery Disease. 29(6). 489–494. 6 indexed citations
12.
Nakasu, Satoshi, et al.. (2008). Maturational changes in diffusion anisotropy in the rat corpus callosum: Comparison with quantitative histological evaluation. Journal of Magnetic Resonance Imaging. 28(4). 847–854. 30 indexed citations
13.
Nakasu, Satoshi, et al.. (2005). Evaluation of treatment-induced cerebral white matter injury by using diffusion-tensor MR imaging: initial experience.. American Journal of Neuroradiology. 26(9). 2200–6. 35 indexed citations
14.
Ito, Ryuta, Susumu Mori, & Elias R. Melhem. (2002). Diffusion tensor brain imaging and tractography. Neuroimaging Clinics of North America. 12(1). 1–19. 61 indexed citations
15.
Nishida, Yasuhiro, Osamu Hayashi, Makiko Kimura, et al.. (2002). Common neural processing regions for dynamic and static stereopsis in human parieto-occipital cortices. Neuroscience Letters. 327(1). 29–32. 18 indexed citations
16.
Suzuki, Mikio, Hideaki Kouzaki, Yasuhiro Nishida, et al.. (2002). Cortical representation of hearing restoration in patients with sudden deafness. Neuroreport. 13(14). 1829–1832. 29 indexed citations
17.
Suzuki, Mikio, Hideaki Kouzaki, Ryuta Ito, et al.. (2002). Cortical activation patterns in functional magnetic resonance images following monaural pure tone stimulation. Neuroscience Research Communications. 30(3). 197–206. 3 indexed citations
18.
Nishida, Yasuhiro, Osamu Hayashi, Makiko Kimura, et al.. (2001). Stereopsis-processing regions in the human parieto-occipital cortex. Neuroreport. 12(10). 2259–2263. 59 indexed citations
19.
Suzuki, Mikio, Hiroya Kitano, Ryuta Ito, et al.. (2001). Cortical and subcortical vestibular response to caloric stimulation detected by functional magnetic resonance imaging. Cognitive Brain Research. 12(3). 441–449. 184 indexed citations
20.
Ito, Ryuta, Elias R. Melhem, Susumu Mori, et al.. (2001). Diffusion tensor brain MR imaging in X-linked cerebral adrenoleukodystrophy. Neurology. 56(4). 544–547. 64 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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