Satoshi Maki

2.1k total citations
99 papers, 1.0k citations indexed

About

Satoshi Maki is a scholar working on Surgery, Pathology and Forensic Medicine and Biomedical Engineering. According to data from OpenAlex, Satoshi Maki has authored 99 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Surgery, 49 papers in Pathology and Forensic Medicine and 18 papers in Biomedical Engineering. Recurrent topics in Satoshi Maki's work include Spine and Intervertebral Disc Pathology (38 papers), Spinal Fractures and Fixation Techniques (37 papers) and Cervical and Thoracic Myelopathy (29 papers). Satoshi Maki is often cited by papers focused on Spine and Intervertebral Disc Pathology (38 papers), Spinal Fractures and Fixation Techniques (37 papers) and Cervical and Thoracic Myelopathy (29 papers). Satoshi Maki collaborates with scholars based in Japan, United States and South Korea. Satoshi Maki's co-authors include Takeo Furuya, Masao Koda, Masashi Yamazaki, Mitsutoshi Ota, Seiji Ohtori, Taigo Inada, Koshiro Kamiya, Kazuhisa Takahashi, Sumihisa Orita and Kazuhide Inage and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain and Scientific Reports.

In The Last Decade

Satoshi Maki

88 papers receiving 986 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satoshi Maki Japan 16 573 475 187 184 98 99 1.0k
Yasuhiro Shiga Japan 19 800 1.4× 656 1.4× 110 0.6× 224 1.2× 64 0.7× 148 1.3k
Andrew K. Chan United States 19 520 0.9× 451 0.9× 96 0.5× 142 0.8× 10 0.1× 53 893
John Pollina United States 21 868 1.5× 718 1.5× 66 0.4× 410 2.2× 12 0.1× 92 1.2k
Ran Harel Israel 18 595 1.0× 356 0.7× 54 0.3× 149 0.8× 7 0.1× 61 997
Marco Bernardini Italy 13 148 0.3× 113 0.2× 81 0.4× 44 0.2× 12 0.1× 77 707
Hitesh N. Modi South Korea 28 1.8k 3.1× 905 1.9× 35 0.2× 175 1.0× 4 0.0× 89 2.0k
Renate Ch. Meindl Germany 17 333 0.6× 434 0.9× 14 0.1× 277 1.5× 8 0.1× 45 988
Marjorie Johnson Canada 18 666 1.2× 72 0.2× 79 0.4× 218 1.2× 4 0.0× 59 1.0k
Eftychia Z. Kapsalaki Greece 22 1.1k 2.0× 916 1.9× 249 1.3× 55 0.3× 5 0.1× 61 1.9k
Jung Hwan Lee South Korea 11 317 0.6× 85 0.2× 48 0.3× 77 0.4× 5 0.1× 52 546

Countries citing papers authored by Satoshi Maki

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Maki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Maki

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Maki. A scholar is included among the top collaborators of Satoshi Maki 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 Satoshi Maki. Satoshi Maki 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.
Asakura, N., Satoshi Yamaguchi, Yusuke Matsuura, et al.. (2025). Association between mobility decline and health literacy in older Japanese adults: Onjuku study. Health Promotion International. 40(1).
2.
Shimizu, Tomoaki, Kota Suda, Miki Komatsu, et al.. (2025). A multimodal machine learning model integrating clinical and MRI data for predicting neurological outcomes following surgical treatment for cervical spinal cord injury. European Spine Journal. 34(9). 3747–3755. 2 indexed citations
3.
Eguchi, Yawara, Kazuhide Inage, Yasuhiro Shiga, et al.. (2024). Automatic generation of diffusion tensor imaging for the lumbar nerve using convolutional neural networks. Magnetic Resonance Imaging. 114. 110237–110237. 3 indexed citations
4.
Maki, Satoshi, Takeo Furuya, Yasuhiro Shiga, et al.. (2024). Conversion of T2-Weighted Magnetic Resonance Images of Cervical Spine Trauma to Short T1 Inversion Recovery (STIR) Images by Generative Adversarial Network. Cureus. 16(5). e60381–e60381. 3 indexed citations
5.
Maki, Satoshi, et al.. (2024). 7. Development of a web application for predicting Asia Impairment Scale at discharge in spinal cord injury patients: a machine learning approach. North American Spine Society Journal (NASSJ). 18. 100345–100345. 1 indexed citations
6.
Eguchi, Yawara, Takashi Hirai, Yohei Takahashi, et al.. (2024). Outcome of intradiscal condoliase injection therapy for patients with recurrent lumbar disc herniation. Asian Spine Journal. 18(4). 550–559. 1 indexed citations
7.
Maki, Satoshi, Takeo Furuya, Yuji Noguchi, et al.. (2024). Emergency Patient Triage Improvement through a Retrieval-Augmented Generation Enhanced Large-Scale Language Model. Prehospital Emergency Care. 29(3). 203–209. 11 indexed citations
8.
Maki, Satoshi, Takeo Furuya, Masahiro Inoue, et al.. (2024). Machine Learning and Deep Learning in Spinal Injury: A Narrative Review of Algorithms in Diagnosis and Prognosis. Journal of Clinical Medicine. 13(3). 705–705. 12 indexed citations
9.
Furuya, Takeo, et al.. (2024). P40. Clinical features in the diagnosis of thoracic spinal cord tumors: the trend toward much misdiagnosis and later identification. North American Spine Society Journal (NASSJ). 18. 100444–100444. 1 indexed citations
10.
11.
Takahashi, Takuya, Toshitaka Yoshii, Kanji Mori, et al.. (2023). Comparison of radiological characteristics between diffuse idiopathic skeletal hyperostosis and ankylosing spondylitis: a multicenter study. Scientific Reports. 13(1). 1849–1849. 14 indexed citations
12.
13.
14.
Furuya, Takeo, Satoshi Maki, Yasuhiro Shiga, et al.. (2023). Posterior Decompression and Fixation for Thoracic Spine Ossification: A 10-Year Follow-Up Study. Journal of Clinical Medicine. 12(17). 5701–5701. 2 indexed citations
15.
Kotani, Toshiaki, Tsuyoshi Sakuma, Yasushi Iijima, et al.. (2023). Risk Factors for Cage Subsidence in Minimally Invasive Lateral Corpectomy for Osteoporotic Vertebral Fractures. Spine Surgery and Related Research. 7(4). 356–362. 2 indexed citations
16.
Maki, Satoshi, Takeo Furuya, Yasuhiro Shiga, et al.. (2023). Machine Learning Web Application for Predicting Functional Outcomes in Patients With Traumatic Spinal Cord Injury Following Inpatient Rehabilitation. Journal of Neurotrauma. 41(9-10). 1089–1100. 10 indexed citations
17.
18.
Furuya, Takeo, et al.. (2022). Differences in the expression of myelopathy in a rat model of chronic spinal cord compression. Journal of Spinal Cord Medicine. 47(3). 450–458.
19.
Maki, Satoshi, Masao Koda, Takeo Furuya, et al.. (2019). Longitudinal diffusion tensor imaging of patients with degenerative cervical myelopathy following decompression surgery. Journal of Clinical Neuroscience. 74. 194–198. 15 indexed citations
20.
Maki, Satoshi & Akira Kojima. (2010). Convergence analysis of consensus problem with communication delays. Society of Instrument and Control Engineers of Japan. 1123–1126. 3 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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