Junya Sato

607 total citations
53 papers, 345 citations indexed

About

Junya Sato is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Junya Sato has authored 53 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Oncology. Recurrent topics in Junya Sato's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Heart Failure Treatment and Management (6 papers) and Graphite, nuclear technology, radiation studies (5 papers). Junya Sato is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Heart Failure Treatment and Management (6 papers) and Graphite, nuclear technology, radiation studies (5 papers). Junya Sato collaborates with scholars based in Japan, United States and United Kingdom. Junya Sato's co-authors include Tetsuya Ōsaka, Y. Okinaka, Osamu YOSHIOKA, Masaru Kato, Takayuki Homma, Sujitra Onutai, Gail Dechman, Masaki Takaoka, Noriyuki Tomiyama and Shoji Kido and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Journal of Hazardous Materials.

In The Last Decade

Junya Sato

42 papers receiving 333 citations

Peers

Junya Sato
Jiashuo Wang China
Fang Hou China
Michał Żurek Poland
Jinhui Liang China
Bao Su-su China
Shuhei Watanabe Japan
Qichen Chen China
Yaosheng Liu China
Huichao Li China
Jiashuo Wang China
Junya Sato
Citations per year, relative to Junya Sato Junya Sato (= 1×) peers Jiashuo Wang

Countries citing papers authored by Junya Sato

Since Specialization
Citations

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

Fields of papers citing papers by Junya Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junya Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Junya Sato. A scholar is included among the top collaborators of Junya Sato 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 Junya Sato. Junya Sato 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.
Elakneswaran, Yogarajah, An‐Ping Li, S. Seralathan, et al.. (2025). Incorporation of boron into metakaolin-based geopolymers for radionuclide immobilisation and neutron capture potential. Cement and Concrete Research. 190. 107814–107814. 3 indexed citations
2.
Hotta, Kinichi, Kenichiro Imai, Sayo Ito, et al.. (2025). Comparison of survival and recurrence between colonic and rectal tumors after resection in T1 colorectal cancer: long-term cohort study. Gastrointestinal Endoscopy. 103(2). 295–308.e3. 1 indexed citations
3.
Otaki, Yoichiro, Tetsu Watanabe, Junya Sato, et al.. (2025). Growth Differentiation Factor-15 and N-Terminal Pro-BNP in Acute Heart Failure with Preserved Ejection Fraction. ESC Heart Failure. 12(2). 888–899. 1 indexed citations
4.
Kishida, Yoshihiro, Tadakazu Shimoda, Kinichi Hotta, et al.. (2025). Endoscopic features for differentiating sessile serrated lesion with dysplasia or carcinoma in serrated lesions ≥10 mm. Digestive and Liver Disease. 57(11). 2180–2186.
5.
Sato, Junya, Katsuki Okada, Shoji Kido, et al.. (2025). Automated Detection of Cancer-Suspicious Findings in Japanese Radiology Reports with Natural Language Processing: A Multicenter Study. Journal of Imaging Informatics in Medicine. 38(5). 3375–3385.
6.
Sofue, Keitaro, et al.. (2025). Artificial intelligence in imaging diagnosis of liver tumors: current status and future prospects. Abdominal Radiology. 51(1). 446–457.
7.
Fujimori, Takahito, Yuki Suzuki, Takashi Kaito, et al.. (2024). Automated entry of paper-based patient-reported outcomes: Applying deep learning to the Japanese orthopaedic association back pain evaluation questionnaire. Computers in Biology and Medicine. 172. 108197–108197. 2 indexed citations
8.
9.
Hotta, Kinichi, Kenichiro Imai, Sayo Ito, et al.. (2024). Efficacy of texture and color enhancement imaging for the visibility and diagnostic accuracy of non‐polypoid colorectal lesions. SHILAP Revista de lepidopterología. 5(1). e380–e380. 5 indexed citations
10.
Suzuki, Yuki, Tadashi Watabe, Hiroki Kato, et al.. (2024). Vision transformer to differentiate between benign and malignant slices in 18F-FDG PET/CT. Scientific Reports. 14(1). 8 indexed citations
11.
Takahashi, Kazuo, et al.. (2024). Predicting recurrent Clostridioides difficile infection by assessing antimicrobial treatment based on days of antibiotic spectrum coverage and ATLAS scores. Journal of Infection and Chemotherapy. 31(3). 102603–102603. 1 indexed citations
12.
Sato, Junya, Yuki Suzuki, Masatoshi Hori, et al.. (2024). Annotation-free multi-organ anomaly detection in abdominal CT using free-text radiology reports: a multi-centre retrospective study. EBioMedicine. 110. 105463–105463. 5 indexed citations
13.
Sato, Junya, et al.. (2023). High-quality semi-supervised anomaly detection with generative adversarial networks. International Journal of Computer Assisted Radiology and Surgery. 19(11). 2121–2131. 2 indexed citations
14.
Suzuki, Yuki, et al.. (2023). BERT-based Transfer Learning in Sentence-level Anatomic Classification of Free-Text Radiology Reports. Radiology Artificial Intelligence. 5(2). e220097–e220097. 12 indexed citations
15.
Otaki, Yoichiro, Tetsu Watanabe, Ryuhei YAMAGUCHI, et al.. (2023). Hypokalemia, Kidney Function, and Clinical Outcomes in Heart Failure With Preserved Ejection Fraction. Circulation Journal. 88(1). 117–126. 1 indexed citations
16.
Otaki, Yoichiro, Tetsu Watanabe, Junya Sato, et al.. (2023). Growth Differentiation Factor 15 and Clinical Outcomes in Japanese Patients With Heart Failure. Circulation Journal. 87(8). 1120–1129. 6 indexed citations
17.
Otaki, Yoichiro, Tetsu Watanabe, Junya Sato, et al.. (2022). Association of malnutrition with renal dysfunction and clinical outcome in patients with heart failure. Scientific Reports. 12(1). 16673–16673. 12 indexed citations
18.
Matsubayashi, Hiroyuki, Akiko Todaka, Takeshi Kawakami, et al.. (2022). Genetic medicine in companion diagnostics of germline BRCA testing of Japanese pancreatic cancer patients. Journal of Human Genetics. 68(2). 81–86. 7 indexed citations
19.
Yoshida, Masao, et al.. (2020). Lymphovascular invasion in early gastric cancer: impact of ancillary D2‐40 and elastin staining on interobserver agreement. Histopathology. 76(6). 888–897. 7 indexed citations
20.
Matsumoto, Tatsuya, Hirohiko Niioka, Y Kumamoto, et al.. (2019). Deep-UV excitation fluorescence microscopy for detection of lymph node metastasis using deep neural network. Scientific Reports. 9(1). 16912–16912. 11 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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