Mami Iima

3.2k total citations · 2 hit papers
76 papers, 2.2k citations indexed

About

Mami Iima is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Orthopedics and Sports Medicine. According to data from OpenAlex, Mami Iima has authored 76 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pathology and Forensic Medicine and 5 papers in Orthopedics and Sports Medicine. Recurrent topics in Mami Iima's work include MRI in cancer diagnosis (64 papers), Advanced Neuroimaging Techniques and Applications (44 papers) and Advanced MRI Techniques and Applications (32 papers). Mami Iima is often cited by papers focused on MRI in cancer diagnosis (64 papers), Advanced Neuroimaging Techniques and Applications (44 papers) and Advanced MRI Techniques and Applications (32 papers). Mami Iima collaborates with scholars based in Japan, France and Germany. Mami Iima's co-authors include Denis Le Bihan, Kaori Togashi, Masako Kataoka, Shotaro Kanao, Maya Honda, Masakazu Toi, Eric E. Sigmund, Akane Ohashi, Savannah C. Partridge and Natsuko Onishi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Mami Iima

71 papers receiving 2.2k citations

Hit Papers

Clinical Intravoxel Incoherent Motion and Diffusion MR Im... 2015 2026 2018 2022 2015 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mami Iima Japan 21 2.0k 198 157 104 98 76 2.2k
Guoying Liu United States 9 1.9k 0.9× 76 0.4× 253 1.6× 60 0.6× 82 0.8× 13 2.2k
Ramona Woitek Austria 26 1.1k 0.6× 203 1.0× 248 1.6× 121 1.2× 230 2.3× 88 2.0k
Bénédicte M. A. Delattre Switzerland 22 722 0.4× 110 0.6× 237 1.5× 35 0.3× 82 0.8× 61 1.3k
Hon J. Yu United States 27 1.5k 0.7× 307 1.6× 256 1.6× 364 3.5× 349 3.6× 56 2.2k
Shiteng Suo China 19 923 0.5× 57 0.3× 198 1.3× 53 0.5× 111 1.1× 65 1.1k
Renaud Lhommel Belgium 20 689 0.3× 85 0.4× 392 2.5× 51 0.5× 77 0.8× 86 1.4k
Kazufumi Kikuchi Japan 22 1.2k 0.6× 119 0.6× 173 1.1× 43 0.4× 74 0.8× 88 1.7k
David K. W. Yeung Hong Kong 19 827 0.4× 107 0.5× 151 1.0× 46 0.4× 92 0.9× 31 1.6k
H. Hawighorst Germany 28 1.4k 0.7× 49 0.2× 511 3.3× 87 0.8× 117 1.2× 68 2.0k
Holger Schmidt Germany 29 1.7k 0.8× 41 0.2× 309 2.0× 42 0.4× 250 2.6× 93 2.1k

Countries citing papers authored by Mami Iima

Since Specialization
Citations

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

Fields of papers citing papers by Mami Iima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mami Iima

This figure shows the co-authorship network connecting the top 25 collaborators of Mami Iima. A scholar is included among the top collaborators of Mami Iima 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 Mami Iima. Mami Iima 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.
Honda, Maya, Masako Kataoka, Mami Iima, et al.. (2025). Institutional Variability in Ultrafast Breast MR Imaging: Comparing Compressed Sensing and View Sharing Techniques with Different Patient Populations and Contrast Injection Protocols. Magnetic Resonance in Medical Sciences. 24(4). n/a–n/a. 1 indexed citations
2.
Honda, Maya, Mami Iima, Masako Kataoka, et al.. (2025). Breast cancer imaging without gadolinium-based contrast agent: A review of current applications and future trends. Diagnostic and Interventional Imaging. 107(2). 51–61.
3.
Kataoka, Masako, Maya Honda, Mami Iima, et al.. (2025). Quantitative MR Imaging of the Breast. Magnetic Resonance in Medical Sciences. 24(3). n/a–n/a. 1 indexed citations
4.
Kurokawa, Ryo, Akifumi Hagiwara, Rintaro Ito, et al.. (2025). Illuminating radiogenomic signatures in pediatric-type diffuse gliomas: insights into molecular, clinical, and imaging correlations. Part II: low-grade group. La radiologia medica. 130(9). 1503–1515.
5.
Kurokawa, Ryo, Akifumi Hagiwara, Daiju Ueda, et al.. (2025). Illuminating radiogenomic signatures in pediatric-type diffuse gliomas: insights into molecular, clinical, and imaging correlations. Part I: high-grade group. La radiologia medica. 130(11). 1871–1887.
6.
Iima, Mami, Masako Kataoka, Mārtiņš Otikovs, et al.. (2024). Comparing Lesion Conspicuity and ADC Reliability in High-resolution Diffusion-weighted Imaging of the Breast. Magnetic Resonance in Medical Sciences. 24(4). n/a–n/a. 2 indexed citations
7.
Iima, Mami, Maya Honda, Hiroko Satake, & Masako Kataoka. (2024). Standardization and advancements efforts in breast diffusion-weighted imaging. Japanese Journal of Radiology. 43(3). 347–354. 2 indexed citations
8.
Bihan, Denis Le, Mami Iima, & Savannah C. Partridge. (2024). Fat-signal suppression in breast diffusion-weighted imaging: the Good, the Bad, and the Ugly. European Radiology. 35(2). 733–741. 5 indexed citations
9.
Kataoka, Masako, Mami Iima, Maya Honda, et al.. (2023). Evaluation of breast lesions based on modified BI-RADS using high-resolution readout-segmented diffusion-weighted echo-planar imaging and T2/T1-weighted image. Magnetic Resonance Imaging. 98. 132–139. 4 indexed citations
10.
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
11.
Kataoka, Masako, Koji Fujimoto, Mami Iima, et al.. (2023). Quantification of Tumor-Related Vessel Length on UF-DCE MRI and Their Association with Breast Cancer Subtypes [Presidential Award Proceedings]. 43(2). 63–65. 1 indexed citations
12.
Iima, Mami, et al.. (2023). Evaluation of apparent diffusion coefficient of two-dimensional BLADE turbo gradient- and spin-echo diffusion-weighted imaging with a breast phantom. Radiological Physics and Technology. 16(1). 118–126. 1 indexed citations
13.
Iima, Mami, Hirohiko Imai, Akihiko Yoshizawa, et al.. (2022). Investigation of breast cancer microstructure and microvasculature from time-dependent DWI and CEST in correlation with histological biomarkers. Scientific Reports. 12(1). 6523–6523. 10 indexed citations
14.
Kataoka, Masako, Mami Iima, Kanae K. Miyake, & Yoshiaki Matsumoto. (2022). Multiparametric imaging of breast cancer: An update of current applications. Diagnostic and Interventional Imaging. 103(12). 574–583. 14 indexed citations
15.
Iima, Mami, Savannah C. Partridge, & Denis Le Bihan. (2020). Six DWI questions you always wanted to know but were afraid to ask: clinical relevance for breast diffusion MRI. European Radiology. 30(5). 2561–2570. 45 indexed citations
16.
Kishimoto, Ayami Ohno, Masako Kataoka, Mami Iima, et al.. (2020). The comparison of high-resolution diffusion weighted imaging (DWI) with high-resolution contrast-enhanced MRI in the evaluation of breast cancers. Magnetic Resonance Imaging. 71. 161–169. 16 indexed citations
17.
Förnvik, Daniel, Masako Kataoka, Mami Iima, et al.. (2018). The role of breast tomosynthesis in a predominantly dense breast population at a tertiary breast centre: breast density assessment and diagnostic performance in comparison with MRI. European Radiology. 28(8). 3194–3203. 9 indexed citations
18.
Kanao, Shotaro, Masako Kataoka, Mami Iima, et al.. (2017). High-resolution diffusion-weighted MRI of the breast using readout-segmented EPI and single-shot EPI. Imaging in Medicine. 9(6). 185–190. 5 indexed citations
19.
Iima, Mami, Masako Kataoka, Ryosuke Okumura, & Kaori Togashi. (2014). Detection of axillary lymph node metastasis with diffusion-weighted MR imaging. Clinical Imaging. 38(5). 633–636. 13 indexed citations
20.
Iima, Mami, Akira Yamamoto, Tomohisa Okada, et al.. (2012). Reduced-Distortion Diffusion MRI of the Craniovertebral Junction. American Journal of Neuroradiology. 33(7). 1321–1325. 18 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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