M. Mori

1.8k total citations
89 papers, 1.2k citations indexed

About

M. Mori is a scholar working on Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Cancer Research. According to data from OpenAlex, M. Mori has authored 89 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Electrical and Electronic Engineering and 15 papers in Cancer Research. Recurrent topics in M. Mori's work include Radiomics and Machine Learning in Medical Imaging (17 papers), Breast Cancer Treatment Studies (14 papers) and Medical Imaging Techniques and Applications (12 papers). M. Mori is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), Breast Cancer Treatment Studies (14 papers) and Medical Imaging Techniques and Applications (12 papers). M. Mori collaborates with scholars based in Japan, Sweden and United States. M. Mori's co-authors include Tomoyuki Fujioka, Kazunori Kubota, Tsuyoshi Nakagawa, Goshi Oda, Ukihide Tateishi, Leona Katsuta, Yuka Kikuchi, Yoshio Kitazume, Emi Yamaga and Toshiyuki Ishiba and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and IEEE Journal of Solid-State Circuits.

In The Last Decade

M. Mori

84 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Mori Japan 20 584 401 205 139 135 89 1.2k
D Thompson United States 18 105 0.2× 265 0.7× 319 1.6× 99 0.7× 101 0.7× 65 955
Mohammad Abd Alkhalik Basha Egypt 19 260 0.4× 68 0.2× 328 1.6× 109 0.8× 138 1.0× 134 1.3k
Cuiping Li China 16 617 1.1× 152 0.4× 35 0.2× 425 3.1× 159 1.2× 65 975
Cheng‐Bin Jin China 12 232 0.4× 111 0.3× 124 0.6× 304 2.2× 71 0.5× 32 802
Jun Zhou United States 22 933 1.6× 139 0.3× 79 0.4× 463 3.3× 751 5.6× 121 1.6k
Rebecca A. Zuurbier United States 10 774 1.3× 93 0.2× 49 0.2× 637 4.6× 105 0.8× 25 1.1k
Ying Song China 19 951 1.6× 397 1.0× 22 0.1× 243 1.7× 188 1.4× 56 1.5k
Peng‐Jen Chen Taiwan 19 146 0.3× 479 1.2× 76 0.4× 46 0.3× 392 2.9× 75 1.4k
Masahiro Hashimoto Japan 15 237 0.4× 140 0.3× 231 1.1× 233 1.7× 162 1.2× 132 1.1k

Countries citing papers authored by M. Mori

Since Specialization
Citations

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

Fields of papers citing papers by M. Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Mori

This figure shows the co-authorship network connecting the top 25 collaborators of M. Mori. A scholar is included among the top collaborators of M. Mori 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 M. Mori. M. Mori 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.
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.
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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
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Kubota, Kazunori, M. Mori, Tomoyuki Fujioka, Kaoru Watanabe, & Yuko Ito. (2023). Magnetic resonance imaging diagnosis of non-mass enhancement of the breast. Journal of Medical Ultrasonics. 50(3). 361–366. 13 indexed citations
7.
Satoh, Yoko, Tomoyuki Fujioka, Kanae Takahashi, et al.. (2023). Deep learning model with collage images for the segmentation of dedicated breast positron emission tomography images. Breast Cancer. 33(1). 17–24. 1 indexed citations
8.
Nakagawa, Tsuyoshi, Kumiko Hayashi, Ayumi Ogawa, et al.. (2022). Bone Marrow Carcinomatosis in a Stage IV Breast Cancer Patient Treated by Letrozole as First-Line Endocrine Therapy. SHILAP Revista de lepidopterología. 15(1). 436–441. 6 indexed citations
9.
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
10.
Fujioka, Tomoyuki, et al.. (2022). Prediction of breast cancer risk by automated volumetric breast density measurement. Japanese Journal of Radiology. 41(1). 54–62. 12 indexed citations
11.
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
12.
Nishimura, Koichi, et al.. (2021). Are Fatigue and Pain Overlooked in Subjects with Stable Chronic Obstructive Pulmonary Disease?. Diagnostics. 11(11). 2029–2029. 7 indexed citations
13.
Ogawa, Ayumi, Tsuyoshi Nakagawa, Goshi Oda, et al.. (2021). Study of the protocol used to evaluate skin-flap perfusion in mastectomy based on the characteristics of indocyanine green. Photodiagnosis and Photodynamic Therapy. 35. 102401–102401. 6 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.
Mori, M., Tomoyuki Fujioka, Leona Katsuta, et al.. (2020). Feasibility of new fat suppression for breast MRI using pix2pix. Japanese Journal of Radiology. 38(11). 1075–1081. 25 indexed citations
17.
Fujioka, Tomoyuki, Kazunori Kubota, M. Mori, et al.. (2019). Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network. Japanese Journal of Radiology. 37(6). 466–472. 136 indexed citations
18.
d’Ávila, Marcos Akira, et al.. (2011). Experimental and Numerical Analysis of a Gas-liquid Flow Operating in the Heterogeneous Regime. SHILAP Revista de lepidopterología.
19.
Hirakawa, Masahiro, et al.. (2011). The endoscopic diagnosis of nonerosive reflux disease using flexible spectral imaging color enhancement image: a feasibility trial. Diseases of the Esophagus. 24(6). 395–400. 15 indexed citations
20.
Masuoka, Hiroo, et al.. (1990). [A case control study of cancer of the pancreas].. PubMed. Spec No. 344–50. 13 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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