Atsushi Teramoto

3.3k total citations
153 papers, 2.5k citations indexed

About

Atsushi Teramoto is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Atsushi Teramoto has authored 153 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Radiology, Nuclear Medicine and Imaging, 34 papers in Pulmonary and Respiratory Medicine and 29 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Atsushi Teramoto's work include Radiomics and Machine Learning in Medical Imaging (43 papers), Medical Imaging Techniques and Applications (23 papers) and Pituitary Gland Disorders and Treatments (22 papers). Atsushi Teramoto is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (43 papers), Medical Imaging Techniques and Applications (23 papers) and Pituitary Gland Disorders and Treatments (22 papers). Atsushi Teramoto collaborates with scholars based in Japan, United States and Sweden. Atsushi Teramoto's co-authors include Hiroshi Fujita, N Sanno, Tetsuya Tsukamoto, Yuka Kiriyama, Kazuyoshi Imaizumi, Kuniaki Saito, Tsuneo Tamaki, Yuzuru Kato, Shigeyuki Tahara and Akira Matsuno and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Atsushi Teramoto

144 papers receiving 2.4k citations

Peers

Atsushi Teramoto
Arkadiusz Gertych United States
Georgios Z. Papadakis United States
Federico Bianchi Italy
Mihir R. Patel United States
Arnout Ruifrok Netherlands
Kimerly Powell United States
Christian Rainer Wirtz Germany
Shu Wang China
Shigeyuki Yoshida Japan
Hiroyuki Akai Japan
Arkadiusz Gertych United States
Atsushi Teramoto
Citations per year, relative to Atsushi Teramoto Atsushi Teramoto (= 1×) peers Arkadiusz Gertych

Countries citing papers authored by Atsushi Teramoto

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Teramoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Teramoto

This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Teramoto. A scholar is included among the top collaborators of Atsushi Teramoto 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 Atsushi Teramoto. Atsushi Teramoto 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.
2.
3.
Yamada, Takashi, Tatsuya Sato, Yuki Ashida, et al.. (2024). Platelet‐rich plasma does not accelerate the healing of damaged muscle following muscle strain. Journal of Orthopaedic Research®. 42(6). 1190–1199. 1 indexed citations
4.
Teramoto, Atsushi, et al.. (2023). Automated Classification of Urinary Cells: Using Convolutional Neural Network Pre-trained on Lung Cells. Applied Sciences. 13(3). 1763–1763. 1 indexed citations
5.
Teramoto, Atsushi, Kuniaki Saito, Hiroshi Fujita, et al.. (2023). Hybrid Multiple-Organ Segmentation Method Using Multiple U-Nets in PET/CT Images. Applied Sciences. 13(19). 10765–10765. 4 indexed citations
6.
Sato, Tatsuya, Takashi Yamada, Yuki Ashida, et al.. (2023). Skeletal muscle endurance declines with impaired mitochondrial respiration and inadequate supply of acetyl-CoA during muscle fatigue in 5/6 nephrectomized rats. Journal of Applied Physiology. 135(4). 731–746. 5 indexed citations
7.
Teramoto, Atsushi, Eiichi Watanabe, Yoshihiro Sobue, et al.. (2023). Prediction of Short-Term Mortality of Cardiac Care Unit Patients Using Image-Transformed ECG Waveforms. IEEE Journal of Translational Engineering in Health and Medicine. 11. 191–198. 5 indexed citations
8.
Nakamura, Wataru, Makoto Sumitomo, Kenji Zennami, et al.. (2023). Combination of deep learning and ensemble machine learning using intraoperative video images strongly predicts recovery of urinary continence after robot‐assisted radical prostatectomy. Cancer Reports. 6(9). e1861–e1861. 10 indexed citations
9.
Teramoto, Atsushi, et al.. (2022). Prognosis Prediction of Lung Cancer Patients Using CT Images: Feature Extraction by Convolutional Neural Network and Prediction by Machine Learning. Japanese Journal of Radiological Technology. 78(8). 829–837. 1 indexed citations
10.
Teramoto, Atsushi, et al.. (2021). Analysis of Idiopathic Interstitial Pneumonia in CT Images Using 3D U-Net. 38(3). 126–131. 1 indexed citations
11.
Kobayashi, Masanao, et al.. (2020). Influence of Absorbed Dose by Difference of Scanning Starting Angle in Multiphasic CT Imaging. Japanese Journal of Radiological Technology. 76(4). 346–355. 1 indexed citations
12.
Hashimoto, Fumio, Hiroyuki Ohba, Kibo Ote, & Atsushi Teramoto. (2020). Unsupervised Dynamic PET Image Denoising with Anatomical Information. 37(3). 58–61. 2 indexed citations
13.
Matsubara, Naoki, Atsushi Teramoto, Kuniaki Saito, & Hiroshi Fujita. (2019). Generation of Pseudo Chest X-ray Images from Computed Tomographic Images by Nonlinear Transformation and Bone Enhancement. 36(3). 141–146. 4 indexed citations
14.
15.
Teramoto, Atsushi & Shigeyoshi Saito. (2018). 9. Development of Micro-CT and Its Application of Preclinical Research. Japanese Journal of Radiological Technology. 74(8). 813–817. 1 indexed citations
16.
Teramoto, Atsushi, et al.. (2016). Estimation of the Average Glandular Dose Using the Mammary Gland Image Analysis in Mammography. Japanese Journal of Radiological Technology. 72(5). 389–395. 1 indexed citations
17.
Noguchi, Kenji, et al.. (2010). Inspection Technique of Foreign Objects in BGA Solder Joint Using Oblique X-ray Computed Tomography. Journal of The Japan Institute of Electronics Packaging. 13(1). 63–70. 1 indexed citations
18.
Teramoto, Atsushi, et al.. (2009). High-speed Detection Method of Solitary Nodules in 3D Chest CT images Based on Cylindrical Filter. IEICE Technical Report; IEICE Tech. Rep.. 108(385). 83–86. 1 indexed citations
19.
Teramoto, Atsushi, et al.. (2006). Automated Detection of Micro Void in Solder Bump. IEEJ Transactions on Industry Applications. 126(11). 1514–1521. 3 indexed citations
20.
Teramoto, Atsushi, et al.. (2005). High Speed and High Precision Solder Bump Inspection Method Using X-ray Fluoroscopy. IEEJ Transactions on Industry Applications. 125(6). 652–658. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Arkadiusz Gertych Breakdown of academic impact, for papers by Georgios Z. Papadakis Breakdown of academic impact, for papers by Federico Bianchi Breakdown of academic impact, for papers by Mihir R. Patel Breakdown of academic impact, for papers by Arnout Ruifrok Breakdown of academic impact, for papers by Kimerly Powell Breakdown of academic impact, for papers by Christian Rainer Wirtz Breakdown of academic impact, for papers by Shu Wang Breakdown of academic impact, for papers by Shigeyuki Yoshida Breakdown of academic impact, for papers by Hiroyuki Akai
Rankless by CCL
2026