Yu Takeda

910 total citations
59 papers, 534 citations indexed

About

Yu Takeda is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Civil and Structural Engineering. According to data from OpenAlex, Yu Takeda has authored 59 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 13 papers in Pulmonary and Respiratory Medicine and 7 papers in Civil and Structural Engineering. Recurrent topics in Yu Takeda's work include Orthopaedic implants and arthroplasty (18 papers), Total Knee Arthroplasty Outcomes (16 papers) and Orthopedic Infections and Treatments (8 papers). Yu Takeda is often cited by papers focused on Orthopaedic implants and arthroplasty (18 papers), Total Knee Arthroplasty Outcomes (16 papers) and Orthopedic Infections and Treatments (8 papers). Yu Takeda collaborates with scholars based in Japan, Australia and Netherlands. Yu Takeda's co-authors include Shigeo Fukunishi, Shoji Nishio, Shinichi Yoshiya, Tetsuo Okada, Yuki Fujihara, Fumio Sasazawa, Gustavo Carneiro, Maria Antico, Davide Fontanarosa and Yasuhisa Okumoto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physiology and International Journal of Molecular Sciences.

In The Last Decade

Yu Takeda

53 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Takeda Japan 15 227 96 82 61 54 59 534
Utku Gülan Switzerland 12 119 0.5× 106 1.1× 29 0.4× 71 1.2× 40 0.7× 31 436
Andrew Squelch Australia 16 108 0.5× 55 0.6× 79 1.0× 179 2.9× 43 0.8× 35 542
Ilija D. Šutalo Australia 17 137 0.6× 194 2.0× 100 1.2× 61 1.0× 14 0.3× 40 589
Tomer Anor United States 9 88 0.4× 71 0.7× 49 0.6× 164 2.7× 37 0.7× 13 480
Da Liu China 18 426 1.9× 67 0.7× 91 1.1× 304 5.0× 64 1.2× 68 843
Siri Sahib S. Khalsa United States 15 145 0.6× 54 0.6× 163 2.0× 106 1.7× 15 0.3× 58 839
Alireza Borjali United States 11 204 0.9× 35 0.4× 139 1.7× 165 2.7× 79 1.5× 19 750
Naoki Yoshioka Japan 16 181 0.8× 53 0.6× 30 0.4× 161 2.6× 28 0.5× 48 763
Aike Qiao China 19 475 2.1× 324 3.4× 103 1.3× 235 3.9× 13 0.2× 136 1.1k

Countries citing papers authored by Yu Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Yu Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Takeda. A scholar is included among the top collaborators of Yu Takeda 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 Yu Takeda. Yu Takeda 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.
Higashimoto, Yuji, Yu Takeda, Osamu Nishiyama, et al.. (2024). Enhanced diaphragm excursion and exercise tolerance in COPD patients through inspiratory muscle training after standardised pulmonary rehabilitation: randomised controlled trial. ERJ Open Research. 10(6). 35–2024. 3 indexed citations
2.
Matsumoto, Hisako, et al.. (2024). Evaluation of patients with chronic obstructive pulmonary disease by maximal inspiratory pressure and diaphragmatic excursion with ultrasound sonography. Respiratory Investigation. 62(2). 234–239. 8 indexed citations
3.
4.
Takeda, Yu, et al.. (2023). Efficacy of Anterior Quadratus Lumborum Block and Pain After Total Hip Arthroplasty: A Randomized Controlled Trial. The Journal of Arthroplasty. 38(11). 2386–2392. 5 indexed citations
5.
Higashimoto, Yuji, Yu Takeda, Osamu Nishiyama, et al.. (2023). Diaphragm dome height on chest radiography as a predictor of dynamic lung hyperinflation in COPD. ERJ Open Research. 9(3). 79–2023. 1 indexed citations
6.
Higashimoto, Yuji, Yu Takeda, Shuhei Fujita, et al.. (2022). Sternocleidomastoid Muscle Thickness Correlates with Exercise Tolerance in Patients with COPD. Respiration. 102(1). 64–73. 5 indexed citations
7.
Takeda, Yu, Katsuhiro Hosono, Akiko Hikoya, et al.. (2022). Exophthalmos associated with chronic progressive external ophthalmoplegia. Japanese Journal of Ophthalmology. 66(3). 314–319.
8.
Fukui, Hideyuki, Hiromitsu Onishi, Atsushi Nakamoto, et al.. (2022). Pancreatic fibrosis by extracellular volume fraction using Contrast-enhanced computed tomography and relationship with pancreatic cancer. European Journal of Radiology. 156. 110522–110522. 16 indexed citations
9.
Fukunishi, Shigeo, et al.. (2021). Long term results of the Bicontact D stem in dysplastic osteoarthritis: a 10–15 year follow-up study. Archives of Orthopaedic and Trauma Surgery. 142(12). 3987–3993. 1 indexed citations
10.
Antico, Maria, Fumio Sasazawa, Yu Takeda, et al.. (2020). Bayesian CNN for Segmentation Uncertainty Inference on 4D Ultrasound Images of the Femoral Cartilage for Guidance in Robotic Knee Arthroscopy. IEEE Access. 8. 223961–223975. 16 indexed citations
11.
Takeda, Yu, et al.. (2020). Supervised Scene Illumination Control in Stereo Arthroscopes for Robot Assisted Minimally Invasive Surgery. IEEE Sensors Journal. 21(10). 11577–11587. 15 indexed citations
12.
Antico, Maria, Fumio Sasazawa, Yu Takeda, et al.. (2020). 4D Ultrasound-Based Knee Joint Atlas for Robotic Knee Arthroscopy: A Feasibility Study. IEEE Access. 8. 146331–146341. 7 indexed citations
13.
Fukunishi, Shigeo, et al.. (2020). Achievement of optimal implant alignment using taper wedge stems with cup-first THA through the MIS antero-lateral approach. European Journal of Orthopaedic Surgery & Traumatology. 30(8). 1505–1514. 4 indexed citations
14.
Dunnhofer, Matteo, Maria Antico, Fumio Sasazawa, et al.. (2019). Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images. Medical Image Analysis. 60. 101631–101631. 57 indexed citations
15.
Maruo, Keishi, Toshiya Tachibana, Shigeo Fukunishi, et al.. (2019). Influence of Spinopelvic Alignment on Pelvic Tilt after Total Hip Arthroplasty. Orthopaedic Surgery. 11(3). 438–442. 13 indexed citations
16.
Fukunishi, Shigeo, et al.. (2019). Total hip arthroplasty using stem-first technique with navigation: the potential of achievement of the optimal combined anteversion being a risk factor for anterior cup protrusion. European Journal of Orthopaedic Surgery & Traumatology. 29(4). 807–812. 4 indexed citations
17.
Fukunishi, Shigeo, et al.. (2019). New combined anteversion technique in hybrid THA: cup-first procedure with CT-based navigation. European Journal of Orthopaedic Surgery & Traumatology. 30(3). 465–472. 6 indexed citations
18.
19.
Takeda, Yu, Shigeo Fukunishi, Shoji Nishio, Yuki Fujihara, & Shinichi Yoshiya. (2017). Accuracy of Component Orientation and Leg Length Adjustment in Total Hip Arthroplasty Using Image-free Navigation. The Open Orthopaedics Journal. 11(1). 1432–1439. 13 indexed citations
20.
Kamida, Tohru, Yu Takeda, Minoru Fujiki, et al.. (2007). Nitric oxide synthase and NMDA receptor expressions in cavernoma tissues with epileptogenesis. Acta Neurologica Scandinavica. 116(6). 368–373. 15 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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