Ryusuke Nakai

1.0k total citations
61 papers, 722 citations indexed

About

Ryusuke Nakai is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ryusuke Nakai has authored 61 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 14 papers in Biomedical Engineering and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ryusuke Nakai's work include Lower Extremity Biomechanics and Pathologies (8 papers), Functional Brain Connectivity Studies (8 papers) and Neural and Behavioral Psychology Studies (8 papers). Ryusuke Nakai is often cited by papers focused on Lower Extremity Biomechanics and Pathologies (8 papers), Functional Brain Connectivity Studies (8 papers) and Neural and Behavioral Psychology Studies (8 papers). Ryusuke Nakai collaborates with scholars based in Japan, Australia and United Kingdom. Ryusuke Nakai's co-authors include Nobuhito Abe, Takashi Azuma, Tadashi Ino, Hidenao Fukuyama, Tōru Kimura, Sadami Tsutsumi, Sakiko Yoshikawa, Shu Nishiguchi, Toshikazu Kawagoe and Kaoru Sekiyama and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Ryusuke Nakai

54 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryusuke Nakai Japan 15 247 123 106 103 98 61 722
Érika C. Rodrigues Brazil 20 530 2.1× 132 1.1× 115 1.1× 145 1.4× 109 1.1× 53 1.2k
Milos Dordevic Germany 14 164 0.7× 114 0.9× 54 0.5× 35 0.3× 82 0.8× 27 590
David Bradbury United Kingdom 10 347 1.4× 113 0.9× 69 0.7× 44 0.4× 51 0.5× 16 770
Kristen A. Pickett United States 20 263 1.1× 227 1.8× 78 0.7× 161 1.6× 37 0.4× 46 1.0k
Martin Domín Germany 18 462 1.9× 157 1.3× 250 2.4× 47 0.5× 120 1.2× 59 1.1k
Lucia M. Li United Kingdom 16 546 2.2× 78 0.6× 76 0.7× 115 1.1× 35 0.4× 50 1.3k
Anthony T. Barker United Kingdom 19 543 2.2× 144 1.2× 96 0.9× 264 2.6× 105 1.1× 38 1.3k
Calvin Pak-Wing Cheng Hong Kong 17 146 0.6× 121 1.0× 38 0.4× 33 0.3× 78 0.8× 47 570
Nicholas J. Snow Canada 16 339 1.4× 90 0.7× 124 1.2× 199 1.9× 48 0.5× 34 950
Víctor Hugo Bastos Brazil 17 419 1.7× 137 1.1× 30 0.3× 86 0.8× 68 0.7× 112 1.0k

Countries citing papers authored by Ryusuke Nakai

Since Specialization
Citations

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

Fields of papers citing papers by Ryusuke Nakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryusuke Nakai

This figure shows the co-authorship network connecting the top 25 collaborators of Ryusuke Nakai. A scholar is included among the top collaborators of Ryusuke Nakai 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 Ryusuke Nakai. Ryusuke Nakai 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.
2.
Taniguchi, Masashi, Masahide Yagi, Yoshihiro Fukumoto, et al.. (2024). Examination of knee extensor and valgus moment arms of the patellar tendon in older individuals with and without knee osteoarthritis. Clinical Biomechanics. 113. 106212–106212.
3.
Fukumoto, Yoshihiro, Masashi Taniguchi, Tetsuya Hirono, et al.. (2023). Association of Regional Muscle Thickness and Echo Intensity with Muscle Volume, Intramuscular Adipose Tissue, and Strength of the Quadriceps Femoris. Clinical Interventions in Aging. Volume 18. 1513–1521. 1 indexed citations
4.
Taniguchi, Masashi, Yoshihiro Fukumoto, Masahide Yagi, et al.. (2023). A higher intramuscular fat in vastus medialis is associated with functional disabilities and symptoms in early stage of knee osteoarthritis: a case–control study. Arthritis Research & Therapy. 25(1). 61–61. 11 indexed citations
5.
Taniguchi, Masashi, Masahide Yagi, Yoshihiro Fukumoto, et al.. (2023). Reliability and validity of quantitative ultrasound for evaluating patellar alignment: A pilot study. Journal of Orthopaedic Science. 29(2). 602–608. 5 indexed citations
6.
Fukumoto, Yoshihiro, Masashi Taniguchi, Tetsuya Hirono, et al.. (2022). Influence of ultrasound focus depth on the association between echo intensity and intramuscular adipose tissue. Muscle & Nerve. 66(5). 568–575. 21 indexed citations
7.
Yagi, Masahide, Masashi Taniguchi, Hiroshige Tateuchi, et al.. (2022). Age- and sex-related differences of muscle cross-sectional area in iliocapsularis: a cross-sectional study. BMC Geriatrics. 22(1). 435–435. 7 indexed citations
8.
Suzuki, Maki, Toshikazu Kawagoe, Kohei Asano, et al.. (2021). Impact of Early-Commenced and Continued Sports Training on the Precuneus in Older Athletes. Frontiers in Human Neuroscience. 15. 766935–766935. 3 indexed citations
9.
Nakai, Ryusuke, et al.. (2020). Brain activity associated with the rubber foot illusion. Neuroscience Letters. 721. 134820–134820. 8 indexed citations
10.
Kawagoe, Toshikazu, Maki Suzuki, Shu Nishiguchi, et al.. (2015). Brain activation during visual working memory correlates with behavioral mobility performance in older adults. Frontiers in Aging Neuroscience. 7. 186–186. 14 indexed citations
11.
Kajimura, Shogo, Takanori Kochiyama, Ryusuke Nakai, Nobuhito Abe, & Michio Nomura. (2015). Fear of negative evaluation is associated with altered brain function in nonclinical subjects. Psychiatry Research Neuroimaging. 234(3). 362–368. 8 indexed citations
13.
Ino, Tadashi, Ryusuke Nakai, Takashi Azuma, Tōru Kimura, & Hidenao Fukuyama. (2011). Brain Activation During Autobiographical Memory Retrieval with Special Reference to Default Mode Network. PubMed. 5(1). 14–23. 34 indexed citations
14.
Ichihara, Satoshi, Yûji Inada, Akira Nakada, et al.. (2009). Development of New Nerve Guide Tube for Repair of Long Nerve Defects. Tissue Engineering Part C Methods. 15(3). 387–402. 35 indexed citations
15.
Ino, Tadashi, Ryusuke Nakai, Takashi Azuma, Tōru Kimura, & Hidenao Fukuyama. (2009). Differential activation of the striatum for decision making and outcomes in a monetary task with gain and loss. Cortex. 46(1). 2–14. 10 indexed citations
16.
Azuma, Takashi, Ryusuke Nakai, Osamu Takizawa, & Sadami Tsutsumi. (2009). In vivo structural analysis of articular cartilage using diffusion tensor magnetic resonance imaging. Magnetic Resonance Imaging. 27(9). 1242–1248. 22 indexed citations
17.
Azuma, Takashi, et al.. (2008). Analysis of the mandibular movement by simultaneous multisection continuous ultrafast MRI. Magnetic Resonance Imaging. 27(3). 423–433. 15 indexed citations
18.
Nakai, Ryusuke, et al.. (2008). MRI analysis of structural changes in skeletal muscles and surrounding tissues following long-term walking exercise with training equipment. Journal of Applied Physiology. 105(3). 958–963. 17 indexed citations
19.
Ino, Tadashi, Ryusuke Nakai, Takashi Azuma, Tōru Kimura, & Hidenao Fukuyama. (2008). Recognition and reading aloud of kana and kanji word: An fMRI study. Brain Research Bulletin. 78(4-5). 232–239. 21 indexed citations
20.
Ino, Tadashi, et al.. (2007). Somatotopy of corticospinal tract in the internal capsule shown by functional MRI and diffusion tensor images. Neuroreport. 18(7). 665–668. 33 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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