Emi Yamaga

443 total citations
28 papers, 311 citations indexed

About

Emi Yamaga is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Emi Yamaga has authored 28 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Artificial Intelligence and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Emi Yamaga's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging Techniques and Applications (10 papers) and AI in cancer detection (8 papers). Emi Yamaga is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Imaging Techniques and Applications (10 papers) and AI in cancer detection (8 papers). Emi Yamaga collaborates with scholars based in Japan. Emi Yamaga's co-authors include Ukihide Tateishi, Tomoyuki Fujioka, M. Mori, Kazunori Kubota, Tsuyoshi Nakagawa, Goshi Oda, Yuka Yashima, Yoshio Kitazume, Leona Katsuta and Jun Oyama and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Medicine and Magnetic Resonance Imaging.

In The Last Decade

Emi Yamaga

25 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emi Yamaga Japan	9	225	152	46	32	27	28	311
Guilherme Silva Brazil	6	166 0.7×	111 0.7×	33 0.7×	26 0.8×	23 0.9×	18	333
Nishanth Arun United States	4	209 0.9×	125 0.8×	51 1.1×	28 0.9×	17 0.6×	7	300
Guillaume Chabin United States	7	240 1.1×	65 0.4×	118 2.6×	35 1.1×	24 0.9×	11	297
Weiya Shi China	8	298 1.3×	131 0.9×	96 2.1×	39 1.2×	36 1.3×	11	344
Michail Mamalakis United Kingdom	9	157 0.7×	70 0.5×	32 0.7×	37 1.2×	34 1.3×	19	245
Thomas E. Tavolara United States	12	134 0.6×	157 1.0×	27 0.6×	20 0.6×	55 2.0×	36	336
Ling-xiang Ruan China	9	160 0.7×	123 0.8×	55 1.2×	19 0.6×	38 1.4×	19	326
Ivan A. Blokhin Russia	8	165 0.7×	42 0.3×	48 1.0×	39 1.2×	12 0.4×	44	227

Countries citing papers authored by Emi Yamaga

Since Specialization

Citations

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

Fields of papers citing papers by Emi Yamaga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emi Yamaga

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

Fujioka, Tomoyuki, Emi Yamaga, Leona Katsuta, et al.. (2025). Evaluation of AI diagnostic systems for breast ultrasound: comparative analysis with radiologists and the effect of AI assistance. Japanese Journal of Radiology. 43(10). 1643–1651.

Katsuta, Leona, Tomoyuki Fujioka, Kazunori Kubota, et al.. (2024). Comparison of state-of-the-art biopsy systems for ultrasound-guided breast biopsy using a chicken breast phantom. Journal of Medical Ultrasonics. 51(4). 627–633.

Kubota, Kazunori, Tomoyuki Fujioka, Ukihide Tateishi, et al.. (2024). Investigation of imaging features in contrast-enhanced magnetic resonance imaging of benign and malignant breast lesions. Japanese Journal of Radiology. 42(7). 720–730. 2 indexed citations

Fujioka, Tomoyuki, Tetsu Hayashida, Emi Yamaga, et al.. (2024). The Future of Breast Cancer Diagnosis in Japan with AI and Ultrasonography. JMA Journal. 8(1). 91–101. 1 indexed citations

Mori, M., Tomoyuki Fujioka, Leona Katsuta, et al.. (2023). Deep Learning-Based Image Quality Improvement in Digital Positron Emission Tomography for Breast Cancer. Diagnostics. 13(4). 794–794. 2 indexed citations

Fujioka, Tomoyuki, Emi Yamaga, Kazunori Kubota, et al.. (2023). Clinical Utility of Breast Ultrasound Images Synthesized by a Generative Adversarial Network. Medicina. 60(1). 14–14. 5 indexed citations

Fujioka, Tomoyuki, Emi Yamaga, Atsushi Hayashi, et al.. (2022). Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography. Japanese Journal of Radiology. 40(8). 814–822. 29 indexed citations

Satoh, Yoko, Tomoyuki Fujioka, M. Mori, et al.. (2022). Deep learning for image classification in dedicated breast positron emission tomography (dbPET). Annals of Nuclear Medicine. 36(4). 401–410. 12 indexed citations

Mori, M., Tomoyuki Fujioka, Leona Katsuta, et al.. (2021). Clinical usefulness of the fast protocol of breast diffusion-weighted imaging using 3T magnetic resonance imaging with a 16-channel breast coil. Clinical Imaging. 78. 217–222. 1 indexed citations

10.

Mori, M., Kazunori Kubota, Tomoyuki Fujioka, et al.. (2021). Virtual Navigator Real-Time Ultrasound Fusion Imaging with Positron Emission Tomography/Computed Tomography for Preoperative Breast Cancer. Medicina. 57(12). 1289–1289. 1 indexed citations

11.

Fujioka, Tomoyuki, M. Mori, Jun Oyama, et al.. (2021). Investigating the Image Quality and Utility of Synthetic MRI in the Breast. Magnetic Resonance in Medical Sciences. 20(4). 431–438. 10 indexed citations

12.

Mori, M., Tomoyuki Fujioka, Yuka Yashima, et al.. (2021). Deep axillary lymphadenopathy after coronavirus disease 2019 vaccination: a case report. Journal of Medical Ultrasonics. 49(1). 111–112. 3 indexed citations

13.

Mori, M., Tomoyuki Fujioka, Kazunori Kubota, et al.. (2021). Relationship between Prognostic Stage in Breast Cancer and Fluorine-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography. Journal of Clinical Medicine. 10(14). 3173–3173. 9 indexed citations

14.

Fujioka, Tomoyuki, M. Mori, Kazunori Kubota, et al.. (2020). The Utility of Deep Learning in Breast Ultrasonic Imaging: A Review. Diagnostics. 10(12). 1055–1055. 63 indexed citations

15.

Kikuchi, Yuka, M. Mori, Tomoyuki Fujioka, et al.. (2020). Feasibility of ultrafast dynamic magnetic resonance imaging for the diagnosis of axillary lymph node metastasis: A case report. European Journal of Radiology Open. 7. 100261–100261. 5 indexed citations

16.

Fujioka, Tomoyuki, M. Mori, Junichi Tsuchiya, et al.. (2020). Late-onset pneumothorax in a COVID-19 patient treated with ventilation and ECMO: A case report and literature review. SHILAP Revista de lepidopterología. 15(12). 2560–2564. 7 indexed citations

17.

Fujioka, Tomoyuki, Yuka Yashima, Jun Oyama, et al.. (2020). Deep-learning approach with convolutional neural network for classification of maximum intensity projections of dynamic contrast-enhanced breast magnetic resonance imaging. Magnetic Resonance Imaging. 75. 1–8. 38 indexed citations

18.

Fujioka, Tomoyuki, M. Mori, Junichi Tsuchiya, et al.. (2020). Evaluation of the Usefulness of CO-RADS for Chest CT in Patients Suspected of Having COVID-19. Diagnostics. 10(9). 608–608. 39 indexed citations

19.

Yamaga, Emi, Akira Toriihara, Shin Nakamura, et al.. (2018). Clinical usefulness of 2-deoxy-2-[18F] fluoro-d-glucose-positron emission tomography/computed tomography for assessing early oral squamous cell carcinoma (cT1-2N0M0). Japanese Journal of Clinical Oncology. 48(7). 633–639. 7 indexed citations

20.

Toriihara, Akira, et al.. (2017). Detection of unexpected emergency diseases using FDG-PET/CT in oncology patients. Japanese Journal of Radiology. 35(9). 539–545. 6 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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