Fuzhe Ma

578 total citations
25 papers, 426 citations indexed

About

Fuzhe Ma is a scholar working on Molecular Biology, Nephrology and Cancer Research. According to data from OpenAlex, Fuzhe Ma has authored 25 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Nephrology and 5 papers in Cancer Research. Recurrent topics in Fuzhe Ma's work include Chronic Kidney Disease and Diabetes (6 papers), MicroRNA in disease regulation (5 papers) and Dialysis and Renal Disease Management (4 papers). Fuzhe Ma is often cited by papers focused on Chronic Kidney Disease and Diabetes (6 papers), MicroRNA in disease regulation (5 papers) and Dialysis and Renal Disease Management (4 papers). Fuzhe Ma collaborates with scholars based in China, United States and Sweden. Fuzhe Ma's co-authors include Ye Jia, Yang Liu, Hao Wu, Zhonggao Xu, Lingyun Liu, Junduo Wu, Ziping Jiang, Weixia Sun, Meiyan Wu and Guannan Wang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Frontiers in Immunology and Gene.

In The Last Decade

Fuzhe Ma

25 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fuzhe Ma China 13 212 110 96 45 42 25 426
Qiaoyan Guo China 12 195 0.9× 36 0.3× 185 1.9× 46 1.0× 48 1.1× 33 495
Yanbin Gao China 13 404 1.9× 196 1.8× 197 2.1× 77 1.7× 44 1.0× 22 658
Huicong Li China 8 168 0.8× 86 0.8× 62 0.6× 38 0.8× 40 1.0× 12 321
Lingfeng Zeng China 10 211 1.0× 66 0.6× 149 1.6× 80 1.8× 28 0.7× 23 450
Zhiyao Zhu China 11 432 2.0× 239 2.2× 198 2.1× 62 1.4× 39 0.9× 23 723
Wangqiu Gong China 12 366 1.7× 197 1.8× 120 1.3× 93 2.1× 55 1.3× 15 607
Jiamei Lu China 13 264 1.2× 45 0.4× 55 0.6× 88 2.0× 89 2.1× 24 542
Suxia Yang China 16 280 1.3× 103 0.9× 118 1.2× 51 1.1× 61 1.5× 27 580
Yanan Xie China 11 182 0.9× 47 0.4× 46 0.5× 57 1.3× 52 1.2× 19 393

Countries citing papers authored by Fuzhe Ma

Since Specialization
Citations

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

Fields of papers citing papers by Fuzhe Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuzhe Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Fuzhe Ma. A scholar is included among the top collaborators of Fuzhe Ma 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 Fuzhe Ma. Fuzhe Ma 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.
Zhang, Li, et al.. (2024). Risk factor assessment and microbiome analysis in peritoneal dialysis-related peritonitis reveal etiological characteristics. Frontiers in Immunology. 15. 1443468–1443468. 1 indexed citations
3.
Wang, Xueyao, Jinyu Yu, Fuzhe Ma, et al.. (2023). Renal interferon-inducible protein 16 expression is associated with disease activity and prognosis in lupus nephritis. Arthritis Research & Therapy. 25(1). 112–112. 12 indexed citations
4.
Wu, Meiyan, et al.. (2022). Hypoxia-inducible factor prolyl hydroxylase inhibitors for anaemia in maintenance dialysis: a meta-analysis. Clinical and Experimental Nephrology. 26(11). 1043–1054. 5 indexed citations
6.
Sun, Xiaodan, Fuzhe Ma, Xin Guo, et al.. (2022). Krill Oil Turns Off TGF-β1 Profibrotic Signaling in the Prevention of Diabetic Nephropathy. Journal of Agricultural and Food Chemistry. 70(32). 9865–9876. 13 indexed citations
7.
Liu, Lingyun, Fuzhe Ma, Yuanyuan Hao, et al.. (2021). Integrative Informatics Analysis of Transcriptome and Identification of Interacted Genes in the Glomeruli and Tubules in CKD. Frontiers in Medicine. 7. 615306–615306. 11 indexed citations
8.
Cheng, Yanli, Xiaoyu Zhang, Fuzhe Ma, et al.. (2020). The Role of Akt2 in the Protective Effect of Fenofibrate against Diabetic Nephropathy. International Journal of Biological Sciences. 16(4). 553–567. 41 indexed citations
9.
Jiang, Ziping, Junduo Wu, Fuzhe Ma, et al.. (2020). MicroRNA-200a improves diabetic endothelial dysfunction by targeting KEAP1/NRF2. Journal of Endocrinology. 245(1). 129–140. 29 indexed citations
10.
Ma, Fuzhe, Junduo Wu, Ziping Jiang, et al.. (2019). P53/NRF2 mediates SIRT1's protective effect on diabetic nephropathy. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1866(8). 1272–1281. 52 indexed citations
11.
Liu, Ling-yun, et al.. (2019). <p>Efficacy and safety of paricalcitol in patients undergoing hemodialysis: a meta-analysis</p>. Drug Design Development and Therapy. Volume 13. 999–1009. 5 indexed citations
12.
Sun, Tao, Yang Liu, Lingyun Liu, & Fuzhe Ma. (2019). MicroRNA-544 attenuates diabetic renal injury via suppressing glomerulosclerosis and inflammation by targeting FASN. Gene. 723. 143986–143986. 26 indexed citations
13.
Jing, Hongyu, et al.. (2019). Overexpression of the long non-coding RNA Oprm1 alleviates apoptosis from cerebral ischemia-reperfusion injury through the Oprm1/miR-155/GATA3 axis. Artificial Cells Nanomedicine and Biotechnology. 47(1). 2431–2439. 38 indexed citations
14.
Sun, Tao, et al.. (2018). The Clinical Effects of Sildenafil for Erection in Patients after Kidney Transplantation: A Meta-Analysis. ˜The œNephron journals/Nephron journals. 141(1). 1–9. 10 indexed citations
15.
Liu, Ling-yun, Yang Liu, Meiyan Wu, Yanyan Sun, & Fuzhe Ma. (2018). Efficacy of atorvastatin on the prevention of contrast-induced acute kidney injury: a meta-analysis. Drug Design Development and Therapy. Volume 12. 437–444. 28 indexed citations
16.
Liu, Yang, Zhonggao Xu, Fuzhe Ma, Ye Jia, & Guannan Wang. (2018). Knockdown of TLR4 attenuates high glucose-induced podocyte injury via the NALP3/ASC/Caspase-1 signaling pathway. Biomedicine & Pharmacotherapy. 107. 1393–1401. 49 indexed citations
17.
Zhang, Yuanyuan, Qiaoyan Guo, Meiyan Wu, et al.. (2015). p16<sup>ink4a</sup> Expression Is Increased through 12-Lipoxygenase in High Glucose-Stimulated Glomerular Mesangial Cells and Type 2 Diabetic Glomeruli. ˜The œNephron journals/Nephron journals. 130(2). 141–150. 7 indexed citations
18.
Sun, Weixia, Fuzhe Ma, Tao Sun, et al.. (2015). Association between sodium intakes with the risk of chronic kidney disease: evidence from a meta-analysis.. PubMed. 8(11). 20939–45. 6 indexed citations
19.
Cui, Wenpeng, Bing Du, Ye Jia, et al.. (2011). Is C677T Polymorphism in Methylenetetrahydrofolate Reductase Gene a Risk Factor for Diabetic Nephropathy or Diabetes Mellitus in a Chinese Population?. Archives of Medical Research. 43(1). 42–50. 15 indexed citations
20.
Guo, Qiaoyan, Lining Miao, Bing Li, et al.. (2011). Role of 12-lipoxygenase in decreasing P-cadherin and increasing angiotensin II type 1 receptor expression according to glomerular size in type 2 diabetic rats. American Journal of Physiology-Endocrinology and Metabolism. 300(4). E708–E716. 14 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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