Ping Fu

7.5k total citations · 1 hit paper
178 papers, 4.9k citations indexed

About

Ping Fu is a scholar working on Nephrology, Surgery and Molecular Biology. According to data from OpenAlex, Ping Fu has authored 178 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Nephrology, 41 papers in Surgery and 30 papers in Molecular Biology. Recurrent topics in Ping Fu's work include Chronic Kidney Disease and Diabetes (20 papers), Acute Kidney Injury Research (19 papers) and Dialysis and Renal Disease Management (17 papers). Ping Fu is often cited by papers focused on Chronic Kidney Disease and Diabetes (20 papers), Acute Kidney Injury Research (19 papers) and Dialysis and Renal Disease Management (17 papers). Ping Fu collaborates with scholars based in China, United States and Australia. Ping Fu's co-authors include Fan Guo, Yuliang Zhao, Fang Liu, Liang Ma, Ross A. D. Bathgate, Rongshuang Huang, Sibei Tao, John D. Wade, Jin Kumagai and Xiaoxi Zeng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ping Fu

168 papers receiving 4.9k citations

Hit Papers

Flavonoid fisetin alleviates kidney inflammation and apop... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Flavonoid fisetin alleviates kidney inflammation and apoptosis via inhibiting Src-mediated NF-κB p65 and MAPK signaling pathways in septic AKI mice
    2019 305 citations Qian Ren, Fan Guo et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Fu China 33 1.4k 1.4k 820 785 502 178 4.9k
Gianluigi Zaza Italy 38 864 0.6× 1.3k 0.9× 608 0.7× 385 0.5× 474 0.9× 150 3.9k
Yong‐Soo Kim South Korea 41 1.7k 1.2× 1.1k 0.8× 1.4k 1.7× 491 0.6× 688 1.4× 289 5.9k
Anette Melk Germany 35 1.0k 0.7× 1.1k 0.8× 928 1.1× 383 0.5× 445 0.9× 127 4.5k
Eric P. Cohen United States 44 1.6k 1.1× 1.0k 0.7× 604 0.7× 394 0.5× 1.1k 2.2× 140 5.9k
Vedat Schwenger Germany 37 1.7k 1.2× 523 0.4× 1.3k 1.5× 365 0.5× 787 1.6× 197 4.6k
Alexandre Hertig France 38 1.2k 0.9× 837 0.6× 733 0.9× 283 0.4× 548 1.1× 170 4.2k
Enrico Lupia Italy 36 797 0.6× 893 0.6× 677 0.8× 237 0.3× 611 1.2× 118 3.9k
Michael D. Hughson United States 41 1.4k 1.0× 1.7k 1.2× 438 0.5× 333 0.4× 1.2k 2.3× 109 5.6k
Ping Fu China 38 1.8k 1.3× 1.5k 1.1× 782 1.0× 178 0.2× 543 1.1× 240 5.1k
Mohammadreza Ardalan Iran 33 712 0.5× 850 0.6× 552 0.7× 290 0.4× 422 0.8× 281 3.9k

Countries citing papers authored by Ping Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ping Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Fu. A scholar is included among the top collaborators of Ping 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 Ping Fu. Ping 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.
Liu, Caihong, Wei Wei, Yongxiu Huang, et al.. (2025). Double-filtration plasmapheresis versus therapeutic plasma exchange in the treatment of anti-glomerular basement membrane nephritis: A cohort study. The American Journal of the Medical Sciences. 370(4). 338–346.
2.
Fu, Ping, et al.. (2025). Novel Bioresorbable Bone Wax for Potentiated Hemostasis and Osteogenesis. Advanced Science. 13(2). e14616–e14616.
3.
Tao, Siying, et al.. (2025). Wet adhesives for hard tissues. Acta Biomaterialia. 194. 1–19. 1 indexed citations
4.
5.
Li, Hui, Qian Ren, Fan Guo, et al.. (2024). SKLB023 protects against inflammation and apoptosis in sepsis-associated acute kidney injury via the inhibition of toll-like receptor 4 signaling. International Immunopharmacology. 139. 112668–112668. 4 indexed citations
6.
7.
Liu, Chang, et al.. (2024). Self-Assembled Pt/Honokiol Nanomicelles for the Treatment of Sepsis-Associated Acute Kidney Injury. ACS Biomaterials Science & Engineering. 11(1). 383–401. 4 indexed citations
8.
9.
Yang, Lina, Letian Yang, Yan Liang, et al.. (2023). Fisetin ameliorates fibrotic kidney disease in mice via inhibiting ACSL4-mediated tubular ferroptosis. Acta Pharmacologica Sinica. 45(1). 150–165. 70 indexed citations
10.
Zhou, Zhifeng, Zhengyan Li, Chen Liu, et al.. (2023). Extracorporeal carbon dioxide removal for patients with acute respiratory failure: a systematic review and meta-analysis. Annals of Medicine. 55(1). 746–759. 3 indexed citations
11.
Zhao, Chang, Heli Wang, Ying Liu, et al.. (2023). Biased allosteric activation of ketone body receptor HCAR2 suppresses inflammation. Molecular Cell. 83(17). 3171–3187.e7. 29 indexed citations
12.
Wen, Jin, Zhengwei Ma, Man J. Livingston, et al.. (2020). Decreased secretion and profibrotic activity of tubular exosomes in diabetic kidney disease. American Journal of Physiology-Renal Physiology. 319(4). F664–F673. 39 indexed citations
13.
Feng, Yanhuan, Fan Guo, Zijing Xia, et al.. (2020). Inhibition of Fatty Acid–Binding Protein 4 Attenuated Kidney Fibrosis by Mediating Macrophage-to-Myofibroblast Transition. Frontiers in Immunology. 11. 566535–566535. 42 indexed citations
14.
Yang, Ling, Letian Yang, Yuliang Zhao, et al.. (2019). The feasibility and safety of sharp recanalization for superior vena cava occlusion in hemodialysis patients: A retrospective cohort study. Hemodialysis International. 24(1). 52–60. 20 indexed citations
15.
Li, Weiying, Yuliang Zhao, & Ping Fu. (2018). Hypoxia Induced Factor in Chronic Kidney Disease: Friend or Foe?. Frontiers in Medicine. 4. 259–259. 11 indexed citations
16.
Dowlati, Afshin, Mary Beth Lipka, Karen McColl, et al.. (2016). Clinical correlation of extensive-stage small-cell lung cancer genomics. Annals of Oncology. 27(4). 642–647. 69 indexed citations
17.
Zhao, Yuliang, Ling Zhang, Ying‐Ying Yang, et al.. (2016). Resolvin D1 Protects Lipopolysaccharide-induced Acute Kidney Injury by Down-regulating Nuclear Factor-kappa B Signal and Inhibiting Apoptosis. Chinese Medical Journal. 129(9). 1100–1107. 32 indexed citations
18.
Qu, Xinli, Mengjie Jiang, Yu Sun, et al.. (2015). The Smad3/Smad4/CDK9 complex promotes renal fibrosis in mice with unilateral ureteral obstruction. Kidney International. 88(6). 1323–1335. 17 indexed citations
19.
Wang, Qiushi, Xin Yang, Yong He, et al.. (2015). Droplet Digital PCR for Absolute Quantification of EML4-ALK Gene Rearrangement in Lung Adenocarcinoma. Journal of Molecular Diagnostics. 17(5). 515–520. 22 indexed citations
20.
Fu, Ping, Fang Liu, Wansheng Wang, et al.. (2006). Signaling Mechanism of Renal Fibrosis in Unilateral Ureteral Obstructive Kidney Disease in ROCK1 Knockout Mice. Journal of the American Society of Nephrology. 17(11). 3105–3114. 63 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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