Jia Fu

2.3k total citations
58 papers, 1.6k citations indexed

About

Jia Fu is a scholar working on Molecular Biology, Nephrology and Immunology. According to data from OpenAlex, Jia Fu has authored 58 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 22 papers in Nephrology and 9 papers in Immunology. Recurrent topics in Jia Fu's work include Chronic Kidney Disease and Diabetes (17 papers), Renal Diseases and Glomerulopathies (17 papers) and Cancer-related molecular mechanisms research (4 papers). Jia Fu is often cited by papers focused on Chronic Kidney Disease and Diabetes (17 papers), Renal Diseases and Glomerulopathies (17 papers) and Cancer-related molecular mechanisms research (4 papers). Jia Fu collaborates with scholars based in China, United States and United Kingdom. Jia Fu's co-authors include John Cijiang He, Kyung Lee, Peter Y. Chuang, Zhihong Liu, Detlef Schlöndorff, Zeguo Sun, Weijia Zhang, Chengguo Wei, Vivette D. D’Agati and Kemal M. Akat and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and PLANT PHYSIOLOGY.

In The Last Decade

Jia Fu

52 papers receiving 1.6k citations

Peers

Jia Fu

NEPHR

IMMUN

EPIDE

Kohei Uchimura Japan

Tonya Watkins United States

Jean‐François Cailhier Canada

Shinya Kaname Japan

Rafia S. Al‐Lamki United Kingdom

Hao Ly Canada

Gábor Kökény Hungary

Mariana Kiomy Osako Japan

Kohei Uchimura Japan

Jia Fu

543 ×0.8

NEPHR

1.1k ×1.7

191 ×0.6

IMMUN

118 ×0.7

83 ×0.5

EPIDE

Citations per year, relative to Jia Fu Jia Fu (= 1×) peers Kohei Uchimura

Countries citing papers authored by Jia Fu

Since Specialization

Citations

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

Fields of papers citing papers by Jia Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Fu. A scholar is included among the top collaborators of Jia 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 Jia Fu. Jia Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Fu, Jia, Linlin Yi, Kaiyuan Li, et al.. (2025). Enhanced dechlorination for multi-source solid wastes using gas-pressurized torrefaction and its removal mechanism. Chemical Engineering Journal. 506. 159906–159906. 2 indexed citations

Fu, Jia, Yan Shi, & Xiangru Chen. (2025). A Mobile Technology-Based Framework for Digital Libraries: Bridging Accessibility and Personalized Learning. International Journal of Interactive Mobile Technologies (iJIM). 19(4). 193–207.

Fu, Jia, Jing Zhao, Chao Zhang, et al.. (2025). Exploring the mechanism of metabolic cell death-related genes AKR1C2 and MAP1LC3A as biomarkers in Parkinson’s disease. Scientific Reports. 15(1). 25610–25610.

Zhang, Lu, Qingqing Zhu, Jia Fu, et al.. (2024). Cholesterol 25‐Hydroxylase Protects Against Diabetic Kidney Disease by Regulating ADP Ribosylation Factor 4. Advanced Science. 11(29). e2309642–e2309642. 6 indexed citations

Li, Yuan, et al.. (2024). The mechanistic view of non-coding RNAs as a regulator of inflammatory pathogenesis of Parkinson’s disease. Pathology - Research and Practice. 258. 155349–155349. 4 indexed citations

Fu, Jia, Guoqiang Zhang, Yanwei Zhang, et al.. (2024). Associations Between the Polymorphisms in the Coding Sequence of SLCO1B1 and Blood Lipid Levels Before and After Treatment by Atorvastatin in the Chinese Han Adults with Dyslipidemia. Pharmacogenomics and Personalized Medicine. Volume 17. 551–561. 1 indexed citations

Sun, Zeguo, Jia Fu, Fang Zhong, et al.. (2024). Podocyte-derived soluble RARRES1 drives kidney disease progression through direct podocyte and proximal tubular injury. Kidney International. 106(1). 50–66. 11 indexed citations

Meliambro, Kristin, Yanfeng Yang, John R. Lee, et al.. (2023). KIBRA upregulation increases susceptibility to podocyte injury and glomerular disease progression. JCI Insight. 8(7). 7 indexed citations

Chen, Man, Madhav C. Menon, Wenlin Wang, et al.. (2023). HCK induces macrophage activation to promote renal inflammation and fibrosis via suppression of autophagy. Nature Communications. 14(1). 4297–4297. 55 indexed citations

10.

Chen, Yuqiang, Chen Ya, Jia Fu, et al.. (2022). Tubular-specific expression of HIV protein Vpr leads to severe tubulointerstitial damage accompanied by progressive fibrosis and cystic development. Kidney International. 103(3). 529–543. 10 indexed citations

11.

Fu, Jia, Zhengzi Yi, Weijie Yuan, et al.. (2021). Global transcriptomic changes in glomerular endothelial cells in mice with podocyte depletion and glomerulosclerosis. Cell Death and Disease. 12(7). 687–687. 9 indexed citations

12.

Meliambro, Kristin, Xuezhu Li, Fadi Salem, et al.. (2021). Molecular Analysis of the Kidney From a Patient With COVID-19–Associated Collapsing Glomerulopathy. Kidney Medicine. 3(4). 653–658. 18 indexed citations

13.

Chen, Anqun, Feng Ye, Han Lai, et al.. (2020). Soluble RARRES1 induces podocyte apoptosis to promote glomerular disease progression. Journal of Clinical Investigation. 130(10). 5523–5535. 65 indexed citations

14.

Li, Wenpan, Jia Fu, Dan Liu, et al.. (2019). Low density lipoprotein-inspired nanostructured lipid nanoparticles containing pro-doxorubicin to enhance tumor-targeted therapeutic efficiency. Acta Biomaterialia. 96. 456–467. 26 indexed citations

15.

Fu, Jia, Kemal M. Akat, Zeguo Sun, et al.. (2019). Single-Cell RNA Profiling of Glomerular Cells Shows Dynamic Changes in Experimental Diabetic Kidney Disease. Journal of the American Society of Nephrology. 30(4). 533–545. 151 indexed citations

16.

Lv, Yanni, Jia Fu, Qianqian Jia, et al.. (2018). Accurate quantification of β-hexosaminidase released from laboratory of allergic diseases 2 cells via liquid chromatography tandem mass spectrometry method. Journal of Chromatography A. 1578. 106–111. 9 indexed citations

17.

Li, Lijuan, Jia Fu, Peng Bai, et al.. (2015). Association between polymorphisms in long non-coding RNA PRNCR1 in 8q24 and risk of gastric cancer. Tumor Biology. 37(1). 299–303. 35 indexed citations

18.

Fu, Jia, Chengguo Wei, Kyung Lee, et al.. (2015). Comparison of Glomerular and Podocyte mRNA Profiles in Streptozotocin-Induced Diabetes. Journal of the American Society of Nephrology. 27(4). 1006–1014. 37 indexed citations

19.

Fu, Jia. (2010). The mechanism of the mixture of Apostichopus japonicus and Cordyceps militaris on protection of renal injury in diabetic rats. Zhongguo yaolixue tongbao. 1 indexed citations

20.

Fu, Jia, Bin Xiong, Zhao Yan, et al.. (2004). Experimental studies of immunological effect of splenic autograft on tumor-bearing rats. 27(4). 9–11.

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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