Ryo Sakamoto

686 total citations
47 papers, 397 citations indexed

About

Ryo Sakamoto is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Ryo Sakamoto has authored 47 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pulmonary and Respiratory Medicine, 19 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Physiology. Recurrent topics in Ryo Sakamoto's work include Chronic Obstructive Pulmonary Disease (COPD) Research (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Ryo Sakamoto is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Ryo Sakamoto collaborates with scholars based in Japan, United States and Switzerland. Ryo Sakamoto's co-authors include Koji Fujimoto, Kaori Togashi, Yuji Nakamoto, Mizuho Nishio, Toyohiro Hirai, Naoya Tanabe, Susumu Satô, Hiroshi Fujita, Chisako Muramatsu and Masahiro Yakami and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ryo Sakamoto

42 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryo Sakamoto Japan 13 188 187 64 47 40 47 397
Liyun Chang Taiwan 11 153 0.8× 150 0.8× 45 0.7× 23 0.5× 17 0.4× 45 379
Sammy Badr France 11 86 0.5× 183 1.0× 74 1.2× 25 0.5× 55 1.4× 42 576
Kathinka D. Kurz Norway 13 110 0.6× 129 0.7× 50 0.8× 12 0.3× 48 1.2× 52 416
Christian Bracco Italy 9 87 0.5× 243 1.3× 48 0.8× 20 0.4× 43 1.1× 26 334
Perry Johnson United States 18 277 1.5× 639 3.4× 234 3.7× 55 1.2× 15 0.4× 48 886
Jawed Nawabi Germany 18 344 1.8× 140 0.7× 81 1.3× 17 0.4× 63 1.6× 71 986
Soichiro Miki Japan 14 203 1.1× 323 1.7× 94 1.5× 32 0.7× 152 3.8× 51 659
Frank A. De Stefano United States 9 112 0.6× 88 0.5× 79 1.2× 10 0.2× 19 0.5× 35 316
Emily Kay‐Rivest Canada 10 128 0.7× 332 1.8× 112 1.8× 32 0.7× 72 1.8× 41 618
Jiahong Ouyang United States 14 104 0.6× 309 1.7× 136 2.1× 11 0.2× 92 2.3× 34 626

Countries citing papers authored by Ryo Sakamoto

Since Specialization
Citations

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

Fields of papers citing papers by Ryo Sakamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryo Sakamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Ryo Sakamoto. A scholar is included among the top collaborators of Ryo Sakamoto 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 Ryo Sakamoto. Ryo Sakamoto 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.
Handa, Tomohiro, Kohei Ikezoe, Ryuji Uozumi, et al.. (2025). Comprehensive quantitation of bronchial and lung parenchymal lesions in idiopathic pleuroparenchymal fibroelastosis. Respiratory Medicine. 249. 108468–108468.
2.
Tanabe, Naoya, Yusuke Shiraishi, Ryo Sakamoto, et al.. (2025). Differential associations between type 2 inflammation and airway mucus plugs in asthma, asthma-COPD overlap, and COPD. Respiratory Investigation. 63(6). 1279–1285.
3.
Tanabe, Naoya, Hiroaki Iijima, Ryo Sakamoto, et al.. (2024). Centrilobular emphysema and airway dysanapsis: factors associated with low respiratory function in younger smokers. ERJ Open Research. 10(2). 695–2023. 3 indexed citations
4.
Zhang, Yi, Naoya Tanabe, Susumu Satô, et al.. (2024). Longitudinal changes in respiratory reactance in patients with COPD: associations with longitudinal change in air-trapping, exacerbations, and mortality. Respiratory Physiology & Neurobiology. 322. 104216–104216. 5 indexed citations
5.
Tanabe, Naoya, Yusuke Shiraishi, Hiroshi Shima, et al.. (2023). Centrilobular Emphysema Is Associated with Pectoralis Muscle Reduction in Current Smokers without Airflow Limitation. Respiration. 102(3). 194–202. 7 indexed citations
6.
Iima, Mami, Ryo Sakamoto, Akira Yamamoto, et al.. (2023). The Efficacy of CT Temporal Subtraction Images for Fibrodysplasia Ossificans Progressiva. Tomography. 9(2). 768–775. 1 indexed citations
7.
Tanaka, Satona, et al.. (2023). Dedifferentiated liposarcoma lung metastases with different FDG-PET/CT findings. SHILAP Revista de lepidopterología. 9(1). 73–73. 3 indexed citations
8.
Arai, Yasuyuki, Ran Nakashima, Akihiko Yoshizawa, et al.. (2023). Other iatrogenic immunodeficiency‐associated lymphoproliferative disorders in a patient with anti‐melanoma differentiation‐associated gene 5‐positive dermatomyositis: A case report and systematic literature review. International Journal of Rheumatic Diseases. 26(6). 1172–1177. 2 indexed citations
9.
Hayashi, Yusuke, Akihiko Yoshizawa, Ryo Sakamoto, et al.. (2023). Resolution of Eosinophilic Pneumonia after Coronavirus Disease 2019 without Systemic Corticosteroids. Internal Medicine. 62(21). 3223–3230. 1 indexed citations
10.
Tanabe, Naoya, Atsuyasu Sato, Yusuke Shiraishi, et al.. (2023). Association between blood eosinophil count and small airway eosinophils in smokers with and without COPD. ERJ Open Research. 9(5). 235–2023. 7 indexed citations
11.
Fujimoto, Koji, et al.. (2023). Boosting Radiology Report Generation by Infusing Comparison Prior. 2 indexed citations
12.
Sakamoto, Ryo, et al.. (2023). Artificial intelligence-powered software detected more than half of the liver metastases overlooked by radiologists on contrast-enhanced CT. European Journal of Radiology. 163. 110823–110823. 5 indexed citations
13.
Tanabe, Naoya, Yusuke Shiraishi, Hiroshi Shima, et al.. (2022). Physiological impacts of computed tomography airway dysanapsis, fractal dimension, and branch count in asymptomatic never smokers. Journal of Applied Physiology. 134(1). 20–27. 16 indexed citations
14.
Nishio, Mizuho, Ryo Sakamoto, Masahiro Yakami, et al.. (2022). Deep learning–based algorithm improved radiologists’ performance in bone metastases detection on CT. European Radiology. 32(11). 7976–7987. 38 indexed citations
15.
Sakamoto, Ryo, Koji Fujimoto, Yukinori Matsuo, et al.. (2022). Peritumoral radiomics features on preoperative thin-slice CT images can predict the spread through air spaces of lung adenocarcinoma. Scientific Reports. 12(1). 10323–10323. 19 indexed citations
16.
Yakami, Masahiro, Mizuho Nishio, Ryo Sakamoto, et al.. (2021). Temporal subtraction CT with nonrigid image registration improves detection of bone metastases by radiologists: results of a large-scale observer study. Scientific Reports. 11(1). 18422–18422. 1 indexed citations
17.
Nishio, Mizuho, Koji Fujimoto, Hidetoshi Matsuo, et al.. (2021). Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial Network. Frontiers in Artificial Intelligence. 4. 694815–694815. 29 indexed citations
18.
Akazawa, Kentaro, Ryo Sakamoto, Satoshi Nakajima, et al.. (2019). Automated Generation of Radiologic Descriptions on Brain Volume Changes From T1-Weighted MR Images: Initial Assessment of Feasibility. Frontiers in Neurology. 10. 7–7. 4 indexed citations
19.
Nishio, Mizuho, Masahiro Yakami, Ryo Sakamoto, et al.. (2019). Temporal subtraction of computed tomography images improves detectability of bone metastases by radiology residents. European Radiology. 29(12). 6439–6442. 2 indexed citations
20.
Sakamoto, Ryo, Masahiro Yakami, Koji Fujimoto, et al.. (2017). Temporal Subtraction of Serial CT Images with Large Deformation Diffeomorphic Metric Mapping in the Identification of Bone Metastases. Radiology. 285(2). 629–639. 29 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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