Chensheng Fu

613 total citations
20 papers, 481 citations indexed

About

Chensheng Fu is a scholar working on Nephrology, Molecular Biology and Epidemiology. According to data from OpenAlex, Chensheng Fu has authored 20 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nephrology, 10 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Chensheng Fu's work include Gout, Hyperuricemia, Uric Acid (12 papers), Inflammasome and immune disorders (6 papers) and Alcohol Consumption and Health Effects (4 papers). Chensheng Fu is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (12 papers), Inflammasome and immune disorders (6 papers) and Alcohol Consumption and Health Effects (4 papers). Chensheng Fu collaborates with scholars based in China and United States. Chensheng Fu's co-authors include Jing Xiao, Zhibin Ye, Xiaoli Zhang, Yijun Lu, Zhenxing Zhang, Weijun Chen, Rui Han, Jianan Zou, Weijun Chen and Xiaoli Zhang and has published in prestigious journals such as BioMed Research International, Cell Death and Disease and Oxidative Medicine and Cellular Longevity.

In The Last Decade

Chensheng Fu

20 papers receiving 469 citations

Peers

Chensheng Fu
Carla Ferri Spain
Mian Wu China
L. Jay Stallons United States
Chun‐Wu Tung Taiwan
Chen‐Chou Lei Taiwan
Tae‐Sun Ha South Korea
De Xie China
Mariana Rodrigues Davanso Brazil
Tianliang Huang China
Suyan Duan China
Carla Ferri Spain
Chensheng Fu
Citations per year, relative to Chensheng Fu Chensheng Fu (= 1×) peers Carla Ferri

Countries citing papers authored by Chensheng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Chensheng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chensheng Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Chensheng Fu. A scholar is included among the top collaborators of Chensheng Fu 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 Chensheng Fu. Chensheng Fu 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.
Li, Fengqin, Hui Guo, Jianan Zou, et al.. (2021). Clinical classification of hyperuricemia in patients with chronic kidney disease. International Urology and Nephrology. 53(8). 1665–1674. 5 indexed citations
2.
Guan, Haochen, Y. Zheng, Xun Zhou, et al.. (2020). Efficacy of different urinary uric acid indicators in patients with chronic kidney disease. BMC Nephrology. 21(1). 290–290. 18 indexed citations
3.
Xu, Ying, Xun Zhou, Y. Zheng, et al.. (2020). The association of urinary uric acid excretion with ambulatory blood pressure values in patients with chronic kidney disease. Clinical Hypertension. 26(1). 4–4. 2 indexed citations
4.
Zhou, Xun, Wei Hong, Weijun Chen, et al.. (2020). The urinary β2 microglobulin-creatinine ratio is inversely associated with lumbar spine bone mineral density in the elderly Chinese males. Archives of Osteoporosis. 15(1). 90–90. 2 indexed citations
5.
Hong, Wei, Zhanying Wei, Zhaohui Qiu, et al.. (2020). Atorvastatin promotes bone formation in aged apoE–/– mice through the Sirt1–Runx2 axis. Journal of Orthopaedic Surgery and Research. 15(1). 303–303. 19 indexed citations
6.
Zheng, Y., Haochen Guan, Xun Zhou, et al.. (2020). The association of renal tubular inflammatory and injury markers with uric acid excretion in chronic kidney disease patients. International Urology and Nephrology. 52(5). 923–932. 3 indexed citations
7.
Feng, Xinhui, Y. Zheng, Haochen Guan, et al.. (2020). The Association between Urinary Glucose and Renal Uric Acid Excretion in Non-diabetic Patients with Stage 1-2 Chronic Kidney Disease. Endocrine Research. 46(1). 28–36. 3 indexed citations
8.
Fu, Chensheng, et al.. (2019). SGK1 Attenuates Oxidative Stress-Induced Renal Tubular Epithelial Cell Injury by Regulating Mitochondrial Function. Oxidative Medicine and Cellular Longevity. 2019. 1–12. 22 indexed citations
9.
Fu, Chensheng, Xiaoli Zhang, Zhenxing Zhang, et al.. (2019). Adiponectin protects against uric acid‑induced renal tubular epithelial inflammatory responses via the AdipoR1/AMPK signaling pathway. International Journal of Molecular Medicine. 43(3). 1542–1552. 15 indexed citations
10.
Xiao, Jing, et al.. (2018). Ischemic preconditioning attenuates ischemia/reperfusion-induced kidney injury by activating autophagy via the SGK1 signaling pathway. Cell Death and Disease. 9(3). 338–338. 59 indexed citations
11.
Xiao, Jing, et al.. (2018). Ischemic Preconditioning Promotes Autophagy and Alleviates Renal Ischemia/Reperfusion Injury. BioMed Research International. 2018. 1–11. 26 indexed citations
12.
Xiao, Jing, et al.. (2018). Impaired Na+−K+-ATPase signaling in renal proximal tubule contributes to hyperuricemia-induced renal tubular injury. Experimental & Molecular Medicine. 50(3). e452–e452. 42 indexed citations
13.
Li, Fengqin, Hui Guo, Jianan Zou, et al.. (2018). Urinary excretion of uric acid is negatively associated with albuminuria in patients with chronic kidney disease: a cross-sectional study. BMC Nephrology. 19(1). 95–95. 15 indexed citations
14.
Li, Fengqin, Hui Guo, Jianan Zou, et al.. (2018). The Association of Urinary Sodium and Potassium with Renal Uric Acid Excretion in Patients with Chronic Kidney Disease. Kidney & Blood Pressure Research. 43(4). 1310–1321. 9 indexed citations
15.
Zou, Jianan, Jing Xiao, Shasha Hu, et al.. (2017). Toll-like Receptor 4 Signaling Pathway in the Protective Effect of Pioglitazone on Experimental Immunoglobulin A Nephropathy. Chinese Medical Journal. 130(8). 906–913. 17 indexed citations
16.
Fu, Chensheng, et al.. (2017). Uric acid upregulates the adiponectin‑adiponectin receptor�1 pathway in renal proximal tubule epithelial cells. Molecular Medicine Reports. 17(3). 3545–3554. 16 indexed citations
17.
18.
Xiao, Jing, Xiaoli Zhang, Chensheng Fu, et al.. (2015). Soluble uric acid increases NALP3 inflammasome and interleukin-1β expression in human primary renal proximal tubule epithelial cells through the Toll-like receptor 4-mediated pathway. International Journal of Molecular Medicine. 35(5). 1347–1354. 133 indexed citations
19.
Xiao, Jing, Chensheng Fu, Xiaoli Zhang, et al.. (2015). Soluble monosodium urate, but not its crystal, induces toll like receptor 4-dependent immune activation in renal mesangial cells. Molecular Immunology. 66(2). 310–318. 48 indexed citations
20.
Xiao, Jing, Weijun Chen, Yijun Lu, et al.. (2015). Crosstalk between peroxisome proliferator-activated receptor-γ and mineralcorticoid receptor in TNF-α activated renal tubular cell. Inflammation Research. 64(8). 603–614. 4 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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