Yu Ueda

1.7k total citations
89 papers, 1.2k citations indexed

About

Yu Ueda is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yu Ueda has authored 89 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cardiology and Cardiovascular Medicine, 31 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yu Ueda's work include Cardiovascular Conditions and Treatments (16 papers), MRI in cancer diagnosis (14 papers) and Cardiomyopathy and Myosin Studies (12 papers). Yu Ueda is often cited by papers focused on Cardiovascular Conditions and Treatments (16 papers), MRI in cancer diagnosis (14 papers) and Cardiomyopathy and Myosin Studies (12 papers). Yu Ueda collaborates with scholars based in United States, Japan and Finland. Yu Ueda's co-authors include Joshua A. Stern, Eric Ontiveros, T Tahata, Jeffrey A. Roberts, Yutaka Okita, Huda Akil, Samantha P. Harris, J. Rachel Reader, Shigehito Miki and Steven Epstein and has published in prestigious journals such as PLoS ONE, Gut and Scientific Reports.

In The Last Decade

Yu Ueda

80 papers receiving 1.2k 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 Ueda United States 19 386 274 267 209 207 89 1.2k
Julia Henke Germany 22 320 0.8× 176 0.6× 151 0.6× 122 0.6× 285 1.4× 62 1.7k
Claudio Bellino Italy 16 180 0.5× 273 1.0× 143 0.5× 171 0.8× 92 0.4× 70 1.1k
Kensuke Nakamura Japan 20 204 0.5× 319 1.2× 313 1.2× 219 1.0× 197 1.0× 122 1.2k
Rafael Bojalil Mexico 25 163 0.4× 109 0.4× 85 0.3× 241 1.2× 239 1.2× 70 2.1k
Ingrid Ljungvall Sweden 23 586 1.5× 912 3.3× 319 1.2× 358 1.7× 133 0.6× 86 1.5k
Paul E. Miller United States 22 224 0.6× 312 1.1× 113 0.4× 83 0.4× 122 0.6× 64 1.6k
Katja Höglund Sweden 21 561 1.5× 770 2.8× 206 0.8× 274 1.3× 101 0.5× 67 1.3k
Baba M Japan 21 414 1.1× 69 0.3× 170 0.6× 511 2.4× 183 0.9× 151 2.1k
P. Cripps United Kingdom 17 210 0.5× 169 0.6× 179 0.7× 91 0.4× 140 0.7× 32 838
Marco Pietra Italy 21 103 0.3× 129 0.5× 267 1.0× 101 0.5× 209 1.0× 101 1.2k

Countries citing papers authored by Yu Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Ueda

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Ueda. A scholar is included among the top collaborators of Yu Ueda 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 Ueda. Yu Ueda 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.
Martin, Emily J., et al.. (2024). Use of extracorporeal hemoperfusion therapy in an adult horse with Clostridioides difficile colitis and severe systemic inflammatory response syndrome. Journal of Veterinary Internal Medicine. 38(5). 2790–2794. 3 indexed citations
2.
Lynch, Alex, et al.. (2023). Case report: Laryngospasm following ethanol ablation of a parathyroid nodule in a dog with primary hyperparathyroidism. Frontiers in Veterinary Science. 10. 1201663–1201663. 1 indexed citations
3.
Ueda, Yu, et al.. (2023). Sex‐specific differences and predictors of echocardiographic measures of diastolic dysfunction in rhesus macaques (Macaca mulatta). Journal of Medical Primatology. 52(6). 374–383. 1 indexed citations
4.
Stern, Joshua A., Yu Ueda, Eric Ontiveros, et al.. (2023). Hypertrophic cardiomyopathy in purpose-bred cats with the A31P mutation in cardiac myosin binding protein-C. Scientific Reports. 13(1). 10319–10319. 8 indexed citations
5.
6.
Robertson, James, Mary Anna Labato, Alessio Vigani, et al.. (2022). Outcomes of 434 dogs with non-steroidal anti-inflammatory drug toxicosis treated with fluid therapy, lipid emulsion, or therapeutic plasma exchange. Journal of Veterinary Internal Medicine. 37(1). 161–172. 5 indexed citations
7.
Suter, Steven E., Alex Lynch, James Robertson, et al.. (2022). Outcomes of nonsteroidal anti-inflammatory drug toxicosis treated with therapeutic plasma exchange in 62 dogs. Journal of Veterinary Internal Medicine. 36(5). 1641–1647. 5 indexed citations
8.
Tamada, Tsutomu, Yu Ueda, Ayumu Kido, et al.. (2022). Clinical application of single-shot echo-planar diffusion-weighted imaging with compressed SENSE in prostate MRI at 3T: preliminary experience. Magnetic Resonance Materials in Physics Biology and Medicine. 35(4). 549–556. 7 indexed citations
9.
Okuda, Miho, Satoshi Kobayashi, Junsuke Nakase, et al.. (2021). Quantitative differentiation of tendon and ligament using magnetic resonance imaging ultrashort echo time T2* mapping of normal knee joint. Acta Radiologica. 63(11). 1489–1496. 10 indexed citations
10.
Lynch, Alex, et al.. (2021). Influence of long‐stay jugular catheters on hemostatic variables in healthy dogs. Journal of Veterinary Emergency and Critical Care. 31(5). 557–563. 1 indexed citations
11.
Ueda, Yu, Ronald H. L. Li, Nghi Nguyen, et al.. (2021). A genetic polymorphism in P2RY1 impacts response to clopidogrel in cats with hypertrophic cardiomyopathy. Scientific Reports. 11(1). 12522–12522. 14 indexed citations
12.
Tamada, Tsutomu, Yu Ueda, Yoshiko Ueno, et al.. (2021). Diffusion-weighted imaging in prostate cancer. Magnetic Resonance Materials in Physics Biology and Medicine. 35(4). 533–547. 20 indexed citations
13.
Ueda, Yu, et al.. (2021). Acute pharmacodynamic effects of pimobendan in client-owned cats with subclinical hypertrophic cardiomyopathy. BMC Veterinary Research. 17(1). 89–89. 6 indexed citations
14.
Hyodo, Tomoko, Ken Kamata, Makoto Itoh, et al.. (2020). Navigator-triggered and breath-hold 3D MRCP using compressed sensing: image quality and method selection factor assessment. Abdominal Radiology. 45(10). 3081–3091. 10 indexed citations
15.
Ueda, Yu, et al.. (2020). Echocardiographic reference intervals with allometric scaling of 823 clinically healthy rhesus macaques (Macaca mulatta). BMC Veterinary Research. 16(1). 348–348. 4 indexed citations
16.
Willcox, Jennifer L., Stanley L. Marks, Yu Ueda, & Katherine A. Skorupski. (2019). Clinical features and outcome of dermal squamous cell carcinoma in 193 dogs (1987‐2017). Veterinary and Comparative Oncology. 17(2). 130–138. 18 indexed citations
17.
Ueda, Yu, et al.. (2019). Cardiac Effects of a Single Dose of Pimobendan in Cats With Hypertrophic Cardiomyopathy; A Randomized, Placebo-Controlled, Crossover Study. Frontiers in Veterinary Science. 6. 15–15. 27 indexed citations
18.
19.
Ueda, Yu. (2017). Improvement of the Sense of Openness in MRI Examination by Virtual Bore with Dome-Shaped Screen and Wide Mirror. 244.
20.
Ueda, Yu, Tosiaki Miyati, Naoki Ohno, et al.. (2010). Apparent diffusion coefficient and fractional anisotropy in the vertebral bone marrow. Journal of Magnetic Resonance Imaging. 31(3). 632–635. 20 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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