Yuta Ueno

478 total citations
28 papers, 308 citations indexed

About

Yuta Ueno is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Yuta Ueno has authored 28 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ophthalmology, 18 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Epidemiology. Recurrent topics in Yuta Ueno's work include Glaucoma and retinal disorders (13 papers), Corneal surgery and disorders (12 papers) and Ophthalmology and Visual Impairment Studies (8 papers). Yuta Ueno is often cited by papers focused on Glaucoma and retinal disorders (13 papers), Corneal surgery and disorders (12 papers) and Ophthalmology and Visual Impairment Studies (8 papers). Yuta Ueno collaborates with scholars based in Japan, United States and Australia. Yuta Ueno's co-authors include Tetsuro Oshika, Takahiro Hiraoka, Simone Beheregaray, Shin‐ichi Fukuda, Deepa Kasaragod, Yoshiaki Yasuno, Sujin Hoshi, Tomoya Murakami, Keita Kikuchi and Masahiro Fukuda and has published in prestigious journals such as PLoS ONE, Scientific Reports and Ophthalmology.

In The Last Decade

Yuta Ueno

25 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuta Ueno Japan 12 253 239 149 68 32 28 308
Ibrahim Seven United States 12 337 1.3× 182 0.8× 90 0.6× 50 0.7× 85 2.7× 23 374
Oliver Findl Austria 5 331 1.3× 379 1.6× 177 1.2× 59 0.9× 23 0.7× 9 420
Duy Thoai Pham Germany 14 476 1.9× 458 1.9× 129 0.9× 56 0.8× 98 3.1× 29 531
Sabine Schriefl Austria 13 267 1.1× 354 1.5× 109 0.7× 80 1.2× 24 0.8× 16 397
Aristides Konstantopoulos United Kingdom 8 305 1.2× 346 1.4× 77 0.5× 58 0.9× 76 2.4× 10 396
Weicong Lu China 11 410 1.6× 365 1.5× 302 2.0× 43 0.6× 43 1.3× 25 439
Oliver Findl Austria 7 260 1.0× 326 1.4× 153 1.0× 22 0.3× 31 1.0× 16 376
Niklas Pircher Austria 10 288 1.1× 182 0.8× 39 0.3× 64 0.9× 96 3.0× 15 327
Adrial Wong United States 6 284 1.1× 317 1.3× 51 0.3× 58 0.9× 22 0.7× 10 364
Jay Wei United States 8 298 1.2× 312 1.3× 65 0.4× 100 1.5× 23 0.7× 12 361

Countries citing papers authored by Yuta Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Yuta Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuta Ueno

This figure shows the co-authorship network connecting the top 25 collaborators of Yuta Ueno. A scholar is included among the top collaborators of Yuta Ueno 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 Yuta Ueno. Yuta Ueno 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.
Maehara, Hiroki, Yuta Ueno, Takefumi Yamaguchi, et al.. (2025). Artificial intelligence support improves diagnosis accuracy in anterior segment eye diseases. Scientific Reports. 15(1). 5117–5117. 2 indexed citations
3.
Kitaguchi, Yoshiyuki, Yuta Ueno, Takefumi Yamaguchi, et al.. (2025). YOLOv5 Attention Analysis for Anterior Eye Disease Classification: Grad-CAM++ Feature Importance and Cut-and-Paste Validation. Journal of Imaging Informatics in Medicine.
4.
Ueno, Yuta, Masahiro Oda, Takefumi Yamaguchi, et al.. (2024). Deep learning model for extensive smartphone-based diagnosis and triage of cataracts and multiple corneal diseases. British Journal of Ophthalmology. 108(10). 1406–1413. 19 indexed citations
5.
Hashizume, Kaoru, Masafumi Toyoshima, Yuta Ueno, et al.. (2023). Carcinosarcoma of the uterus, derived from subserous cystic adenomyosis, presenting as an acute abdomen: A case report and review of the literature. Gynecologic Oncology Reports. 45. 101139–101139. 1 indexed citations
6.
Kawamorita, Takushi, Hiroshi Uozato, Tetsuro Oshika, et al.. (2022). Evaluation of ocular biometry in the Japanese population using a multicenter approach: Prospective observational study. PLoS ONE. 17(7). e0271814–e0271814. 2 indexed citations
7.
Hamanaka, Teruhiko, Shinki Chin, Yasuhiro Shinmei, et al.. (2022). Histological analysis of trabeculotomy – An investigation on the intraocular pressure lowering mechanism. Experimental Eye Research. 219. 109079–109079. 4 indexed citations
8.
Ueno, Yuta, et al.. (2022). Detection of Anterior Hyaloid Membrane Detachment Using Deep-Range Anterior Segment Optical Coherence Tomography. Journal of Clinical Medicine. 11(11). 3057–3057. 3 indexed citations
9.
Ueno, Yuta, et al.. (2021). ANALYSIS ON PREFERENCE FOR PUBLIC TRANSPORT SERVICES CONNECTED BY SHARE MOBILITY. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 76(5). I_869–I_878.
10.
Hiraoka, Takahiro, et al.. (2021). Influence of refractive status and age on corneal higher-order aberration. Vision Research. 181. 32–37. 11 indexed citations
11.
Ueno, Yuta, et al.. (2021). Comparison of corneal irregular astigmatism by the type of corneal regular astigmatism. Scientific Reports. 11(1). 15769–15769. 11 indexed citations
12.
Ueno, Yuta, et al.. (2021). Visualization of Anterior Chamber Angle Structures With Scattering- and Polarization-Sensitive Anterior Segment Optical Coherence Tomography. Translational Vision Science & Technology. 10(14). 29–29. 12 indexed citations
13.
Yamamoto, Masaki, Shoshi Mizokami, & Yuta Ueno. (2020). FEASIBILITY STUDY ON CAR SHARING SERVICE IN JAPAN FROM THE VIEWPOINT OF CONVENIENCE AND PROFITABILITY. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 76(1). 18–32. 1 indexed citations
14.
Fukuda, Shin‐ichi, et al.. (2019). Comparison of anterior segment and lens biometric measurements in patients with cataract. Graefe s Archive for Clinical and Experimental Ophthalmology. 258(1). 137–146. 34 indexed citations
15.
Fukuda, Shin‐ichi, Deepa Kasaragod, Simone Beheregaray, et al.. (2018). Comparison of intensity, phase retardation, and local birefringence images for filtering blebs using polarization-sensitive optical coherence tomography. Scientific Reports. 8(1). 7519–7519. 12 indexed citations
16.
Kasaragod, Deepa, Shin‐ichi Fukuda, Yuta Ueno, et al.. (2016). Objective Evaluation of Functionality of Filtering Bleb Based on Polarization-Sensitive Optical Coherence Tomography. Investigative Ophthalmology & Visual Science. 57(4). 2305–2305. 21 indexed citations
17.
Hiraoka, Takahiro, et al.. (2016). Influence of posterior corneal astigmatism on postoperative refractive astigmatism in pseudophakic eyes after cataract surgery. BMC Ophthalmology. 16(1). 212–212. 21 indexed citations
18.
Ueno, Yuta, et al.. (2015). Corneal Thickness Profile and Posterior Corneal Astigmatism in Normal Corneas. Ophthalmology. 122(6). 1072–1078. 38 indexed citations
19.
Okamoto, Fumiki, et al.. (2010). Retinal Nerve Fiber Layer Thickness Following Pars Plana Vitrectomy for Rhegmatogenous Retinal Detachment. Investigative Ophthalmology & Visual Science. 51(13). 6071–6071. 1 indexed citations
20.
Itoi, Motozumi, et al.. (1995). Effect of sodium hyaluronate ophthalmic solution on peripheral staining of rigid contact lens wearers.. PubMed. 21(4). 261–4. 9 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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