Naoko Mori

3.4k total citations
211 papers, 2.4k citations indexed

About

Naoko Mori is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Naoko Mori has authored 211 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Surgery, 33 papers in Radiology, Nuclear Medicine and Imaging and 27 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Naoko Mori's work include Physics of Superconductivity and Magnetism (25 papers), MRI in cancer diagnosis (19 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Naoko Mori is often cited by papers focused on Physics of Superconductivity and Magnetism (25 papers), MRI in cancer diagnosis (19 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Naoko Mori collaborates with scholars based in Japan, United States and Spain. Naoko Mori's co-authors include Shunji Mugikura, Kei Takase, Yu Mori, Shoki Takahashi, Hiroyuki Abé, Chiaki Takasawa, Takanori Ishida, Motoko Yamaguchi, Keiko Tsuchiya and Toshimi Aizawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.

In The Last Decade

Naoko Mori

181 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoko Mori Japan 25 639 404 274 222 194 211 2.4k
Hao Yu China 32 479 0.7× 217 0.5× 719 2.6× 277 1.2× 168 0.9× 158 3.3k
Orhan K. Öz United States 34 393 0.6× 488 1.2× 929 3.4× 146 0.7× 240 1.2× 122 3.9k
Javier Sánchez‐Gonzalez Spain 31 1.3k 2.0× 386 1.0× 257 0.9× 261 1.2× 99 0.5× 134 3.1k
Tomoko Gotō Japan 34 422 0.7× 462 1.1× 534 1.9× 207 0.9× 283 1.5× 228 3.5k
Hiroshi Yoshioka Japan 27 305 0.5× 347 0.9× 362 1.3× 112 0.5× 417 2.1× 180 2.5k
Masataka Kato Japan 26 356 0.6× 562 1.4× 193 0.7× 113 0.5× 102 0.5× 172 2.3k
Yung‐Chih Chen Taiwan 32 234 0.4× 507 1.3× 698 2.5× 262 1.2× 543 2.8× 97 3.3k
William Halliday Canada 37 542 0.8× 349 0.9× 1.2k 4.3× 208 0.9× 175 0.9× 120 4.7k
Hitoshi Kubo Japan 27 415 0.6× 746 1.8× 272 1.0× 86 0.4× 245 1.3× 157 3.3k
Xiaoyu Jiang China 30 906 1.4× 121 0.3× 693 2.5× 135 0.6× 157 0.8× 104 2.7k

Countries citing papers authored by Naoko Mori

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Mori

This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Mori. A scholar is included among the top collaborators of Naoko 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 Naoko Mori. Naoko 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.
Otani, Takahiro, Kasumi Satoh, Shunji Mugikura, et al.. (2025). CT-based assessment of bear-inflicted maxillofacial injuries: evaluation using the facial injury severity scale and its association with hospitalization duration. Japanese Journal of Radiology. 43(11). 1812–1821.
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Mori, Yu, Kunio Tarasawa, Hidetatsu Tanaka, et al.. (2025). Thromboembolic risks after knee arthroplasty in patients with severe obesity: A large-scale analysis using Japanese medical claims data. Journal of Orthopaedic Science. 31(2). 414–419.
5.
Mori, Yu, Masayuki Kamimura, Hidetatsu Tanaka, et al.. (2024). A Review of the Impacts of Implant Stiffness on Fracture Healing. Applied Sciences. 14(6). 2259–2259. 12 indexed citations
6.
Mori, Yu, Naoko Mori, Munenori Watanuki, et al.. (2024). Magnetic Resonance Imaging Texture Analysis Based on Intraosseous and Extraosseous Lesions to Predict Prognosis in Patients with Osteosarcoma. Diagnostics. 14(22). 2562–2562. 2 indexed citations
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Mori, Yu & Naoko Mori. (2024). Advances in titanium alloys and orthopedic implants: new titanium alloys and future research directions. Bio-Design and Manufacturing. 7(6). 1053–1054. 1 indexed citations
9.
Mori, Yu, Kunio Tarasawa, Hidetatsu Tanaka, et al.. (2024). Nationwide database study of postoperative sequelae and in-hospital mortality in super-elderly hip fracture patients. Journal of Bone and Mineral Metabolism. 43(2). 141–148. 13 indexed citations
10.
Mugikura, Shunji, Naoko Mori, Shigenori Kanno, et al.. (2023). Interhemispheric asymmetrical change in gray matter volume in patients with unilateral hippocampal sclerosis. Journal of Clinical Imaging Science. 13. 38–38.
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Endo, Hidenori, Naoko Mori, Shunji Mugikura, et al.. (2022). Quantitative assessment of microstructural evolution of intracranial aneurysm wall by vessel wall imaging. Neuroradiology. 64(7). 1343–1350. 4 indexed citations
13.
Mori, Naoko, Shunji Mugikura, Toshiki Endo, et al.. (2022). Principal component analysis of texture features for grading of meningioma: not effective from the peritumoral area but effective from the tumor area. Neuroradiology. 65(2). 257–274. 2 indexed citations
14.
Shimizu, Hiroaki, Naoko Mori, Minoru Miyashita, et al.. (2022). Multimodal imaging findings including high-resolution 3D T2-weighted imaging for COVID-19 vaccine-associated axillary lymphadenopathy in a patient with breast cancer. SHILAP Revista de lepidopterología. 17(8). 2831–2836. 2 indexed citations
15.
Mori, Naoko, et al.. (2021). Prediction of placenta accreta spectrum using texture analysis on coronal and sagittal T2-weighted imaging. Abdominal Radiology. 46(11). 5344–5352. 17 indexed citations
16.
Mugikura, Shunji, Naoko Mori, Hirokazu Kikuchi, et al.. (2020). Relationship between decreased cerebral blood flow and amnesia after microsurgery for anterior communicating artery aneurysm. Annals of Nuclear Medicine. 34(3). 220–227. 3 indexed citations
17.
Mori, Naoko, Hiroyuki Abé, Shunji Mugikura, et al.. (2018). Ultrafast Dynamic Contrast-Enhanced Breast MRI: Kinetic Curve Assessment Using Empirical Mathematical Model Validated with Histological Microvessel Density. Academic Radiology. 26(7). e141–e149. 37 indexed citations
18.
Arima, Jiro, et al.. (2013). Evaluation of genes encoding 4-N-trimethylaminobutyraldehyde dehydrogenase and 4-N-trimethylamino-1-butanol dehydrogenase from Pseudomonas sp. 13CM.. International Journal of Agriculture and Biology. 15(2). 238–244. 1 indexed citations
19.
Sakaue, Motoharu, et al.. (2006). Effects of Sodium Selenite on Methylmercury-Induced Cell Death and on Mercury Accumulation in Rat Cerebellar Neurons in Primary Culture. Bulletin of Environmental Contamination and Toxicology. 77(5). 779–784. 8 indexed citations
20.
Bäuerle, Christopher, et al.. (1998). Studies of 2D Cryocrystals by STM Techniques. Journal of Low Temperature Physics. 113(5-6). 927–932. 5 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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