Feng Yu

6.0k total citations
138 papers, 3.9k citations indexed

About

Feng Yu is a scholar working on Immunology, Nephrology and Rheumatology. According to data from OpenAlex, Feng Yu has authored 138 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Immunology, 66 papers in Nephrology and 61 papers in Rheumatology. Recurrent topics in Feng Yu's work include Renal Diseases and Glomerulopathies (63 papers), Systemic Lupus Erythematosus Research (50 papers) and Complement system in diseases (42 papers). Feng Yu is often cited by papers focused on Renal Diseases and Glomerulopathies (63 papers), Systemic Lupus Erythematosus Research (50 papers) and Complement system in diseases (42 papers). Feng Yu collaborates with scholars based in China, United States and Romania. Feng Yu's co-authors include Ming‐Hui Zhao, Ying Tan, Min Chen, Suxia Wang, Wan-zhong Zou, Lihua Wu, Richard J. Glassock, Mark Haas, Di Song and Shen‐Ju Gou and has published in prestigious journals such as Science, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

Feng Yu

131 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Yu China 34 1.9k 1.7k 1.6k 1.3k 641 138 3.9k
Suxia Wang China 32 813 0.4× 1.9k 1.1× 703 0.4× 765 0.6× 978 1.5× 234 3.7k
John L. Niles United States 34 735 0.4× 981 0.6× 1.0k 0.6× 2.5k 1.9× 619 1.0× 85 3.8k
Ramesh Saxena United States 27 1.1k 0.6× 977 0.6× 1.2k 0.8× 375 0.3× 562 0.9× 97 3.1k
Pieter C. Limburg Netherlands 38 1.7k 0.9× 285 0.2× 1.2k 0.8× 1.1k 0.9× 670 1.0× 79 3.8k
Iva Gunnarsson Sweden 48 3.9k 2.1× 913 0.5× 4.3k 2.7× 376 0.3× 884 1.4× 211 6.6k
Alessandro Amore Italy 28 817 0.4× 2.0k 1.1× 273 0.2× 500 0.4× 491 0.8× 102 2.9k
Ben Sprangers Belgium 38 878 0.5× 1.3k 0.7× 198 0.1× 700 0.5× 561 0.9× 175 4.3k
Xin J. Zhou United States 27 1.3k 0.7× 614 0.4× 771 0.5× 181 0.1× 484 0.8× 57 2.8k
Sheldon Bastacky United States 35 546 0.3× 569 0.3× 533 0.3× 868 0.7× 967 1.5× 123 3.7k
Céline C. Berthier United States 31 1.9k 1.0× 698 0.4× 1.1k 0.7× 303 0.2× 1.0k 1.6× 66 3.6k

Countries citing papers authored by Feng Yu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Yu. A scholar is included among the top collaborators of Feng Yu 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 Feng Yu. Feng Yu 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.
Cheng, Lefeng, et al.. (2025). Game-theoretic evolution in renewable energy systems: Advancing sustainable energy management and decision optimization in decentralized power markets. Renewable and Sustainable Energy Reviews. 217. 115776–115776. 10 indexed citations
2.
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Chen, Feifei, Xiao-Tian Liu, Juan Tao, et al.. (2023). Renal NLRP3 Inflammasome activation is associated with disease activity in lupus nephritis. Clinical Immunology. 247. 109221–109221. 13 indexed citations
5.
Liu, Xiaoling, Ying Tan, Feng Yu, Shang‐Rong Ji, & Ming‐Hui Zhao. (2023). Combination of anti-C1qA08 and anti-mCRP a.a.35-47 antibodies is associated with renal prognosis of patients with lupus nephritis. Frontiers in Immunology. 14. 1181561–1181561. 1 indexed citations
6.
Zuo, Li, Xianghai Zhou, Hongwei Gao, et al.. (2023). A Novel Risk Score Model for the Differential Diagnosis of Type 2 Diabetic Nephropathy: A Multicenter Study. Journal of Diabetes Research. 2023. 1–9. 6 indexed citations
7.
Mu, Li, et al.. (2021). Association between high BMI and high homocysteine levels in Chinese patients with bipolar disorder. Journal of Affective Disorders. 295. 284–290. 7 indexed citations
8.
Zhou, Danni, Ying Tan, Xiaoling Liu, et al.. (2021). Patient-specific iPSC-derived endothelial cells reveal aberrant p38 MAPK signaling in atypical hemolytic uremic syndrome. Stem Cell Reports. 16(9). 2305–2319. 9 indexed citations
9.
Yu, Feng, Xia Zhang, Lei Gao, et al.. (2020). LncRNA loc105377478 promotes NPs-Nd2O3-induced inflammation in human bronchial epithelial cells through the ADIPOR1/NF-κB axis. Ecotoxicology and Environmental Safety. 208. 111609–111609. 18 indexed citations
10.
Yu, Feng, Binrui Yang, Tao Wang, et al.. (2019). Hepatoprotective Effect of Jianpi Huoxue Formula on Nonalcoholic Fatty Liver Disease Induced by Methionine-Choline-Deficient Diet in Rat. BioMed Research International. 2019. 1–12. 12 indexed citations
11.
Wang, Fang, Chao Yang, Jianyan Long, et al.. (2019). Executive summary for the 2015 Annual Data Report of the China Kidney Disease Network (CK-NET). Kidney International. 95(3). 501–505. 105 indexed citations
12.
Yu, Xiaojuan, Shasha Han, Suxia Wang, et al.. (2017). Anti-glomerular basement membrane glomerulonephritis with thrombotic microangiopathy: a case report. Immunologic Research. 65(4). 769–773. 4 indexed citations
13.
Pang, Yun, Ying Tan, Yongzhe Li, et al.. (2016). Pentraxin 3 Is Closely Associated With Tubulointerstitial Injury in Lupus Nephritis. Medicine. 95(3). e2520–e2520. 30 indexed citations
14.
Yu, Feng, Jing Zhao, Yunhui Hu, et al.. (2016). The combination of NVP-BKM120 with trastuzumab or RAD001 synergistically inhibits the growth of breast cancer stem cells in vivo. Oncology Reports. 36(1). 356–364. 23 indexed citations
15.
Sun, Xiaojing, Chen Wang, Luxia Zhang, et al.. (2016). Sphingosine-1-phosphate and its receptors in anti-neutrophil cytoplasmic antibody-associated vasculitis. Nephrology Dialysis Transplantation. 32(8). 1313–1322. 15 indexed citations
16.
Pang, Yun, Ying Tan, Yongzhe Li, et al.. (2016). Serum A08 C1q antibodies are associated with disease activity and prognosis in Chinese patients with lupus nephritis. Kidney International. 90(6). 1357–1367. 21 indexed citations
17.
Wu, Lihua, Feng Yu, Ying Tan, et al.. (2013). Inclusion of renal vascular lesions in the 2003 ISN/RPS system for classifying lupus nephritis improves renal outcome predictions. Kidney International. 83(4). 715–723. 112 indexed citations
18.
Gou, Shen‐Ju, Jun Yuan, Min Chen, Feng Yu, & Ming‐Hui Zhao. (2012). Circulating complement activation in patients with anti-neutrophil cytoplasmic antibody–associated vasculitis. Kidney International. 83(1). 129–137. 208 indexed citations
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Gao, Ying, Hua Ye, Feng Yu, Xiaohui Guo, & Ming‐Hui Zhao. (2005). Anti-myeloperoxidase IgG subclass distribution and avidity in sera from patients with propylthiouracil-induced antineutrophil cytoplasmic antibodies associated vasculitis. Clinical Immunology. 117(1). 87–93. 28 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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