Maya Honda

645 total citations
43 papers, 407 citations indexed

About

Maya Honda is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Maya Honda has authored 43 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pathology and Forensic Medicine and 3 papers in Cancer Research. Recurrent topics in Maya Honda's work include MRI in cancer diagnosis (32 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Advanced Neuroimaging Techniques and Applications (17 papers). Maya Honda is often cited by papers focused on MRI in cancer diagnosis (32 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Advanced Neuroimaging Techniques and Applications (17 papers). Maya Honda collaborates with scholars based in Japan, Germany and Sweden. Maya Honda's co-authors include Masako Kataoka, Mami Iima, Kaori Togashi, Ayami Ohno Kishimoto, Akane Ohashi, Eric E. Sigmund, Masakazu Toi, Dominik Nickel, Kanae K. Miyake and Yuji Nakamoto and has published in prestigious journals such as Scientific Reports, Life Sciences and Journal of Magnetic Resonance Imaging.

In The Last Decade

Maya Honda

38 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maya Honda Japan	10	376	51	27	25	20	43	407
Akane Ohashi Japan	13	412 1.1×	54 1.1×	23 0.9×	15 0.6×	33 1.6×	25	432
Ayami Ohno Kishimoto Japan	9	232 0.6×	31 0.6×	17 0.6×	20 0.8×	16 0.8×	17	280
Averi E. Kitsch United States	8	393 1.0×	62 1.2×	35 1.3×	33 1.3×	10 0.5×	9	431
Meredith Sadinski United States	9	270 0.7×	23 0.5×	33 1.2×	78 3.1×	20 1.0×	15	306
W Permanetter Germany	4	341 0.9×	139 2.7×	62 2.3×	27 1.1×	18 0.9×	5	383
T. Sommer Germany	8	399 1.1×	141 2.8×	40 1.5×	11 0.4×	17 0.8×	23	487
Lisa Cimino United States	2	237 0.6×	37 0.7×	56 2.1×	21 0.8×	10 0.5×	2	259
Duraisamy Ravichandran United Kingdom	4	202 0.5×	30 0.6×	51 1.9×	8 0.3×	19 0.9×	10	251
Ingeborg Krischke Germany	6	273 0.7×	85 1.7×	43 1.6×	19 0.8×	11 0.6×	8	301
Gabrielle Baxter United Kingdom	8	274 0.7×	21 0.4×	37 1.4×	110 4.4×	30 1.5×	12	364

Countries citing papers authored by Maya Honda

Since Specialization

Citations

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

Fields of papers citing papers by Maya Honda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Honda

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

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

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.

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

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.

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.

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

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

Honda, Maya, Eric E. Sigmund, Denis Le Bihan, et al.. (2024). Advanced breast diffusion-weighted imaging: what are the next steps? A proposal from the EUSOBI International Breast Diffusion-weighted Imaging working group. European Radiology. 35(4). 2130–2140. 4 indexed citations

Hanaoka, Kohei, et al.. (2024). Prediction of 1 cm dose-equivalent rate on the day after administration of 177Lu-DOTATATE from 111In-somatostatine receptor scintigraphy prior to treatment. Annals of Nuclear Medicine. 38(11). 927–932. 1 indexed citations

10.

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

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.

Ohashi, Akane, Masako Kataoka, Mami Iima, et al.. (2023). Comparison of Ultrafast Dynamic Contrast-Enhanced (DCE) MRI with Conventional DCE MRI in the Morphological Assessment of Malignant Breast Lesions. Diagnostics. 13(6). 1105–1105. 8 indexed citations

13.

Ohashi, Akane, Masako Kataoka, Mami Iima, et al.. (2023). A multiparametric approach to predict triple-negative breast cancer including parameters derived from ultrafast dynamic contrast-enhanced MRI. European Radiology. 33(11). 8132–8141. 8 indexed citations

14.

Honda, Maya, Masako Kataoka, Mami Iima, et al.. (2022). Visual Evaluation of Ultrafast MRI in the Assessment of Residual Breast Cancer After Neoadjuvant Systemic Therapy: A Preliminary Study Association with Subtype. Tomography. 8(3). 1522–1533. 7 indexed citations

15.

Honda, Maya, Hiroshi Ishiguro, Masako Kataoka, et al.. (2021). Kinetic information from dynamic contrast-enhanced MRI enables prediction of residual cancer burden and prognosis in triple-negative breast cancer: a retrospective study. Scientific Reports. 11(1). 10112–10112. 5 indexed citations

16.

Nishio, Nobuhiko, Aki Kido, Yasuhisa Kurata, et al.. (2020). Investigation of clinical utility of contrast-enhanced MRI in the diagnosis of ectopic pregnancy. Clinical Radiology. 75(7). 543–551. 2 indexed citations

17.

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

18.

Honda, Maya, Masako Kataoka, Mami Iima, et al.. (2020). Background parenchymal enhancement and its effect on lesion detectability in ultrafast dynamic contrast-enhanced MRI. European Journal of Radiology. 129. 108984–108984. 19 indexed citations

19.

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

20.

Nishio, Hikaru, et al.. (2008). Involvement of prostacyclin/IP receptors in decreased acid response of damaged stomachs — Mediation by somatostatin/SST2 receptors. Life Sciences. 84(5-6). 172–180. 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.

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