Toki Saito

571 total citations
38 papers, 385 citations indexed

About

Toki Saito is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Toki Saito has authored 38 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 12 papers in Computer Vision and Pattern Recognition and 8 papers in Surgery. Recurrent topics in Toki Saito's work include Anatomy and Medical Technology (9 papers), Surgical Simulation and Training (6 papers) and Medical Image Segmentation Techniques (5 papers). Toki Saito is often cited by papers focused on Anatomy and Medical Technology (9 papers), Surgical Simulation and Training (6 papers) and Medical Image Segmentation Techniques (5 papers). Toki Saito collaborates with scholars based in Japan and Germany. Toki Saito's co-authors include Hiroshi Ōyama, Nobuhito Saito, Taichi Kin, Daisuke Ichikawa, Hirofumi Nakatomi, Naoyuki Shono, Seiji Nomura, Daichi Nakagawa, Masanori Yoshino and Yoshikazu Nakajima and has published in prestigious journals such as Journal of neurosurgery, Human Reproduction and Fertility and Sterility.

In The Last Decade

Toki Saito

34 papers receiving 378 citations

Peers

Toki Saito
Ralf Stroop Germany
Guido de Jong Netherlands
Hugo Layard Horsfall United Kingdom
Cheng Kiang Lee Singapore
Jeremy Lynch United Kingdom
Ran Harel Israel
Dong Hwan Kim South Korea
Ralf Stroop Germany
Toki Saito
Citations per year, relative to Toki Saito Toki Saito (= 1×) peers Ralf Stroop

Countries citing papers authored by Toki Saito

Since Specialization
Citations

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

Fields of papers citing papers by Toki Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toki Saito

This figure shows the co-authorship network connecting the top 25 collaborators of Toki Saito. A scholar is included among the top collaborators of Toki Saito 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 Toki Saito. Toki Saito 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.
Uchida, T, Taichi Kin, Satoshi Kiyofuji, et al.. (2023). Reproducibility of Facial Information in Three-Dimensional ReconstructedHead Images: An Exploratory Study. Current Medical Imaging Formerly Current Medical Imaging Reviews. 19(12). 1387–1393. 1 indexed citations
2.
Uchida, T, Taichi Kin, Toki Saito, et al.. (2023). De-Identification Technique with Facial Deformation in Head CT Images. Neuroinformatics. 21(3). 575–587. 3 indexed citations
3.
Saito, Toki, et al.. (2022). Augmented reality self-training system for suturing in open surgery: A randomized controlled trial. International Journal of Surgery. 102. 106650–106650. 25 indexed citations
4.
Shono, Naoyuki, Takeo Igarashi, Taichi Kin, Toki Saito, & Nobuhito Saito. (2022). Threshold field painting saves the time for segmentation of minute arteries. International Journal of Computer Assisted Radiology and Surgery. 17(11). 2121–2130. 2 indexed citations
5.
Tanaka, Shota, Yuichi Suzuki, Shunsaku Takayanagi, et al.. (2022). Accurate Preoperative Identification of Motor Speech Area as Termination of Arcuate Fasciculus Depicted by Q-Ball Imaging Tractography. World Neurosurgery. 164. e764–e771. 3 indexed citations
6.
Kohyama‐Koganeya, Ayako, et al.. (2022). Effect of a Virtual Reality Contact-Based Educational Intervention on the Public Stigma of Depression: Randomized Controlled Pilot Study. JMIR Formative Research. 6(5). e28072–e28072. 10 indexed citations
7.
Kin, Taichi, Shota Tanaka, Yasuhiro Takeda, et al.. (2021). Development of Innovative Neurosurgical Operation Support Method Using Mixed-Reality Computer Graphics. World Neurosurgery X. 11. 100102–100102. 10 indexed citations
8.
Saito, Toki, et al.. (2021). A Novel Suture Training System for Open Surgery Replicating Procedures Performed by Experts Using Augmented Reality. Journal of Medical Systems. 45(5). 60–60. 24 indexed citations
9.
Kohyama‐Koganeya, Ayako, et al.. (2020). VRAT: A Proposal of Training Method for Auditory Information Processing Using Virtual Space. 17(1). 23–32.
10.
Nomura, Seiji, Taichi Kin, Masaaki Shojima, et al.. (2020). Registration Method Between Phase-Contrast Magnetic Resonance Angiography and Time-of-Flight Magnetic Resonance Angiography—A Preliminary Study. Journal of Medical Imaging and Health Informatics. 11(1). 33–39. 4 indexed citations
11.
Yoshida, Yukihiro, Jun‐ichi Nitadori, Aya Shinozaki‐Ushiku, et al.. (2019). A comparison between 2- and 3-dimensional approaches to solid component measurement as radiological criteria for sublobar resection in lung adenocarcinoma ≤ 2 cm in size. Surgery Today. 49(10). 828–835. 1 indexed citations
12.
Kin, Taichi, Seiji Nomura, Naoyuki Shono, et al.. (2017). Vascular Imaging in Surgical Simulation for Brain Tumor. Japanese Journal of Neurosurgery. 26(7). 480–487. 1 indexed citations
13.
Jiang, Jue, et al.. (2016). Marker-less tracking of brain surface deformations by non-rigid registration integrating surface and vessel/sulci features. International Journal of Computer Assisted Radiology and Surgery. 11(9). 1687–1701. 9 indexed citations
14.
Yoshino, Masanori, Akihiro Ito, Toki Saito, et al.. (2015). Feasibility of diffusion tensor tractography for preoperative prediction of the location of the facial and vestibulocochlear nerves in relation to vestibular schwannoma. Acta Neurochirurgica. 157(6). 939–946. 12 indexed citations
15.
Maruyama, Keisuke, Taichi Kin, Toki Saito, et al.. (2014). Neurosurgical simulation by interactive computer graphics on iPad. International Journal of Computer Assisted Radiology and Surgery. 9(6). 1073–1078. 6 indexed citations
16.
Yoshino, Masanori, Akihiro Ito, Toki Saito, et al.. (2014). Diffusion tensor tractography of normal facial and vestibulocochlear nerves. International Journal of Computer Assisted Radiology and Surgery. 10(4). 383–392. 22 indexed citations
17.
Mori, Yasushige, et al.. (2013). Identification of fibroblast growth factor-18 as a molecule to protect and regenerate articular cartilage. Osteoarthritis and Cartilage. 21. S107–S107. 1 indexed citations
18.
Nakajima, Yoshikazu, et al.. (2013). Fully automatic segmentation of the Femur from 3D-CT images using primitive shape recognition and statistical shape models. International Journal of Computer Assisted Radiology and Surgery. 9(2). 189–196. 16 indexed citations
19.
Ichikawa, Tokuji, Teizo Yoshimura, Hiraku Suga, et al.. (2003). Multi-media ambiance communication based on actual moving pictures. 3. 36–40.
20.
Sato, Fumihiko, et al.. (1992). Factors Promoting Embryo Implantation in in vitro Fertilization and Embryo Transfer. Hormone Research. 37(1). 64–68. 1 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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