Chuou Xu

1.1k total citations
24 papers, 265 citations indexed

About

Chuou Xu is a scholar working on Radiology, Nuclear Medicine and Imaging, Nephrology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Chuou Xu has authored 24 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Nephrology and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Chuou Xu's work include MRI in cancer diagnosis (12 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Pediatric Urology and Nephrology Studies (4 papers). Chuou Xu is often cited by papers focused on MRI in cancer diagnosis (12 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Pediatric Urology and Nephrology Studies (4 papers). Chuou Xu collaborates with scholars based in China, United States and Germany. Chuou Xu's co-authors include Zhen Li, Daoyu Hu, Yufeng Wang, Baolong Qin, Henglong Hu, Jihong Liu, Jiaqiao Zhang, Qing Wang, Shaogang Wang and Shichao Li and has published in prestigious journals such as International Journal of Molecular Sciences, Oxidative Medicine and Cellular Longevity and Journal of Magnetic Resonance Imaging.

In The Last Decade

Chuou Xu

22 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuou Xu China 9 95 80 69 56 41 24 265
Nicholas Fung Hong Kong 8 47 0.5× 51 0.6× 35 0.5× 23 0.4× 27 0.7× 16 264
H. P. Bertram Germany 11 79 0.8× 40 0.5× 48 0.7× 14 0.3× 27 0.7× 26 313
Ahmet Yeşilyurt Türkiye 11 21 0.2× 37 0.5× 95 1.4× 55 1.0× 13 0.3× 34 251
Ryoko Ichikawa Japan 12 113 1.2× 37 0.5× 85 1.2× 12 0.2× 4 0.1× 28 457
Malvika Solanki United States 10 20 0.2× 48 0.6× 71 1.0× 62 1.1× 49 1.2× 28 331
David Baird United Kingdom 6 13 0.1× 31 0.4× 79 1.1× 35 0.6× 73 1.8× 12 267
M. Haq United Kingdom 6 27 0.3× 38 0.5× 61 0.9× 12 0.2× 32 0.8× 10 302
Carolina I. Galarreta United States 9 12 0.1× 81 1.0× 151 2.2× 110 2.0× 69 1.7× 23 325
Anne-Cécile Huby France 7 20 0.2× 26 0.3× 99 1.4× 12 0.2× 42 1.0× 14 243
Kimberley Veraar Netherlands 7 14 0.1× 25 0.3× 126 1.8× 54 1.0× 87 2.1× 9 395

Countries citing papers authored by Chuou Xu

Since Specialization
Citations

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

Fields of papers citing papers by Chuou Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuou Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Chuou Xu. A scholar is included among the top collaborators of Chuou Xu 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 Chuou Xu. Chuou Xu 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
2.
Liang, Ping, Jun Chen, Chuou Xu, et al.. (2024). Identification of Calculous Pyonephrosis by CT-Based Radiomics and Deep Learning. Bioengineering. 11(7). 662–662.
3.
Li, Shichao, et al.. (2024). Body composition as a potential imaging biomarker for predicting the progression risk of chronic kidney disease. Insights into Imaging. 15(1). 247–247. 2 indexed citations
5.
Li, Shichao, Ping Liang, Jiali Li, et al.. (2022). Noninvasive assessment of renal function and fibrosis in CKD patients using histogram analysis based on diffusion kurtosis imaging. Japanese Journal of Radiology. 41(2). 180–193. 7 indexed citations
6.
Liang, Ping, et al.. (2022). Noninvasive assessment of clinical and pathological characteristics of patients with IgA nephropathy by diffusion kurtosis imaging. Insights into Imaging. 13(1). 18–18. 7 indexed citations
7.
Xu, Chuou, Tianjing Zhang, Na Zhu, & Min Han. (2021). Characteristics of COVID-19 patients with preexisting CKD history. International Urology and Nephrology. 53(12). 2567–2575. 6 indexed citations
8.
Li, Shichao, Chuou Xu, Jiali Li, et al.. (2021). Assessment of renal function using magnetic resonance quantitative histogram analysis based on spatial labeling with multiple inversion pulses. Annals of Translational Medicine. 9(21). 1614–1614. 3 indexed citations
9.
Liang, Ping, Shichao Li, Chuou Xu, et al.. (2021). Noninvasive assessment of kidney dysfunction in children by using blood oxygenation level-dependent MRI and intravoxel incoherent motion diffusion-weighted imaging. Insights into Imaging. 12(1). 146–146. 14 indexed citations
12.
Wu, Sisi, et al.. (2020). Gallbladder carcinoma: an initial clinical experience of reduced field-of-view diffusion-weighted MRI. Cancer Imaging. 20(1). 50–50. 13 indexed citations
13.
Xu, Chuou, Yao Hu, Yaqi Shen, et al.. (2020). Role of Chemical Exchange Saturation Transfer and Magnetization Transfer MRI in Detecting Metabolic and Structural Changes of Renal Fibrosis in an Animal Model at 3T. Korean Journal of Radiology. 21(5). 588–588. 8 indexed citations
14.
Liang, Li‐Li, Yao Hu, Chuou Xu, et al.. (2019). Assessment of renal fibrosis in a rat model of unilateral ureteral obstruction with diffusion kurtosis imaging: Comparison with α-SMA expression and 18F-FDG PET. Magnetic Resonance Imaging. 66. 176–184. 13 indexed citations
15.
Zhang, Jiaqiao, Qing Wang, Chuou Xu, et al.. (2017). MitoTEMPO Prevents Oxalate Induced Injury in NRK‐52E Cells via Inhibiting Mitochondrial Dysfunction and Modulating Oxidative Stress. Oxidative Medicine and Cellular Longevity. 2017(1). 7528090–7528090. 52 indexed citations
16.
Zhang, Jiaqiao, Chuou Xu, Yuchao Lu, et al.. (2016). Flexible ureteroscopy for renal stone without preoperative ureteral stenting shows good prognosis. PeerJ. 4. e2728–e2728. 24 indexed citations
17.
Xu, Chuou, Qiaodan Zhou, Lili Liu, et al.. (2015). Cdc42-Interacting Protein 4 Represses E-Cadherin Expression by Promoting β-Catenin Translocation to the Nucleus in Murine Renal Tubular Epithelial Cells. International Journal of Molecular Sciences. 16(8). 19170–19183. 7 indexed citations
18.
Zhou, Qiaodan, Yong Ning, Rui Zeng, et al.. (2013). Erbin interacts with Sema4C and inhibits Sema4C-induced epithelial-mesenchymal transition in HK2 cells. Journal of Huazhong University of Science and Technology [Medical Sciences]. 33(5). 672–679. 8 indexed citations
19.
Bai, Shoujun, Rui Zeng, Qiaodan Zhou, et al.. (2012). Cdc42-Interacting Protein-4 Promotes TGF-Β1-Induced Epithelial-Mesenchymal Transition and Extracellular Matrix Deposition in Renal Proximal Tubular Epithelial Cells. International Journal of Biological Sciences. 8(6). 859–869. 23 indexed citations
20.
Zhou, Qiaodan, Rui Zeng, Chuou Xu, et al.. (2011). Erbin inhibits TGF-β1-induced EMT in renal tubular epithelial cells through an ERK-dependent pathway. Journal of Molecular Medicine. 90(5). 563–574. 29 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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