Jiao Mu

1.2k total citations
37 papers, 931 citations indexed

About

Jiao Mu is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Jiao Mu has authored 37 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Cancer Research and 6 papers in Epidemiology. Recurrent topics in Jiao Mu's work include Cancer, Hypoxia, and Metabolism (6 papers), MicroRNA in disease regulation (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Jiao Mu is often cited by papers focused on Cancer, Hypoxia, and Metabolism (6 papers), MicroRNA in disease regulation (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Jiao Mu collaborates with scholars based in China and Czechia. Jiao Mu's co-authors include Bing Feng, Wei Zeng, Yanhong Guo, Yuan Fa-huan, Qi Pang, Wei Qi, Zhi-Feng Luo, Li Liu, Zhexue Qin and Youguang Zhao and has published in prestigious journals such as PLoS ONE, Scientific Reports and Life Sciences.

In The Last Decade

Jiao Mu

33 papers receiving 926 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiao Mu China 17 522 164 154 150 137 37 931
Yu Ishimoto Japan 10 346 0.7× 138 0.8× 141 0.9× 73 0.5× 274 2.0× 21 880
Bardia Askari United States 15 802 1.5× 69 0.4× 84 0.5× 134 0.9× 166 1.2× 20 1.3k
Shenaz Khan United States 16 536 1.0× 94 0.6× 60 0.4× 112 0.7× 270 2.0× 21 989
Jun-ya Kaimori Japan 7 430 0.8× 57 0.3× 387 2.5× 80 0.5× 181 1.3× 8 969
Soo Youn Choi South Korea 18 431 0.8× 228 1.4× 104 0.7× 107 0.7× 35 0.3× 35 878
Yan Dai China 15 431 0.8× 40 0.2× 125 0.8× 128 0.9× 295 2.2× 27 884
Chet E. Holterman Canada 19 949 1.8× 94 0.6× 87 0.6× 307 2.0× 268 2.0× 36 1.6k
Jeong Suk Kang South Korea 17 350 0.7× 144 0.9× 70 0.5× 40 0.3× 251 1.8× 24 843
H. Wu China 15 337 0.6× 48 0.3× 248 1.6× 56 0.4× 230 1.7× 24 820

Countries citing papers authored by Jiao Mu

Since Specialization
Citations

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

Fields of papers citing papers by Jiao Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiao Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiao Mu. A scholar is included among the top collaborators of Jiao Mu 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 Jiao Mu. Jiao Mu 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.
Mu, Jiao, et al.. (2025). NPAS2 Deficiency Leads to Antidepressant‐Like Behaviors in Mice by Modulating Astrocyte‐Mediated Neuroinflammation. Journal of Pineal Research. 77(5). e70070–e70070.
2.
Yang, Ying, Yi Chen, Jian Chen, et al.. (2025). MiR-29a-3p inhibits fibrosis of diabetic kidney disease in diabetic mice via downregulation of DNA methyl transferase 3A and 3B. World Journal of Diabetes. 16(4). 93630–93630.
3.
Wu, Qingjian, et al.. (2024). Circ-IP6K2 suppresses tumor progression by modulating the miR-1292-5p/CAMK2N1 signal in clear cell renal cell carcinoma. Functional & Integrative Genomics. 24(4). 122–122.
4.
Hu, Wei, et al.. (2023). Serum galactose-deficient immunoglobulin A1 in recurrent immunoglobulin a nephropathy after kidney transplantation: A meta-analysis. Transplant Immunology. 79. 101850–101850. 3 indexed citations
5.
Fang, Yuan, et al.. (2023). Case report: Application of metagenomic next-generation sequencing in the diagnosis of visceral leishmaniasis and its treatment evaluation. Frontiers in Medicine. 9. 1044043–1044043. 3 indexed citations
6.
Zhao, Beibei, et al.. (2023). SPAG6 regulates cell proliferation and apoptosis via TGF-β/Smad signal pathway in adult B-cell acute lymphoblastic leukemia. International Journal of Hematology. 119(2). 119–129. 3 indexed citations
7.
Yuan, Peng, Jiao Mu, Zijun Wang, et al.. (2021). Down-regulation of SLC25A20 promotes hepatocellular carcinoma growth and metastasis through suppression of fatty-acid oxidation. Cell Death and Disease. 12(4). 361–361. 25 indexed citations
8.
Mu, Jiao, Zijun Wang, Rui Tan, et al.. (2021). Mitochondrial transcription factor B1 promotes the progression of hepatocellular carcinoma via enhancing aerobic glycolysis. Journal of Cell Communication and Signaling. 16(2). 223–238. 4 indexed citations
9.
Yang, Tao, Peng Yuan, Yi Yang, et al.. (2019). NPAS2 Contributes to Liver Fibrosis by Direct Transcriptional Activation of Hes1 in Hepatic Stellate Cells. Molecular Therapy — Nucleic Acids. 18. 1009–1022. 20 indexed citations
10.
Zeng, Wei, Wei Qi, Jiao Mu, et al.. (2019). MG132 protects against renal dysfunction by regulating Akt-mediated inflammation in diabetic nephropathy. Scientific Reports. 9(1). 2049–2049. 20 indexed citations
11.
Yuan, Peng, Tao Yang, Jiao Mu, et al.. (2019). Circadian clock gene NPAS2 promotes reprogramming of glucose metabolism in hepatocellular carcinoma cells. Cancer Letters. 469. 498–509. 64 indexed citations
12.
Mu, Jiao, et al.. (2016). Brd4 inhibition attenuates unilateral ureteral obstruction-induced fibrosis by blocking TGF-β-mediated Nox4 expression. Redox Biology. 11. 390–402. 103 indexed citations
13.
Feng, Bing, Zhexue Qin, Youguang Zhao, et al.. (2015). Activation of farnesoid X receptor downregulates visfatin and attenuates diabetic nephropathy. Molecular and Cellular Endocrinology. 419. 72–82. 21 indexed citations
14.
Zeng, Wei, Yanhong Guo, Wei Qi, et al.. (2014). 4-Phenylbutyric acid suppresses inflammation through regulation of endoplasmic reticulum stress of endothelial cells stimulated by uremic serum. Life Sciences. 103(1). 15–24. 31 indexed citations
15.
Li, Yan, Yiqin Wang, Daihong Wang, et al.. (2014). Costimulatory molecule VSIG4 exclusively expressed on macrophages alleviates renal tubulointerstitial injury in VSIG4 KO mice. Journal of Nephrology. 27(1). 29–36. 11 indexed citations
16.
Mu, Jiao, Qi Pang, Yanhong Guo, et al.. (2013). Functional Implications of MicroRNA-215 in TGF-β1-Induced Phenotypic Transition of Mesangial Cells by Targeting CTNNBIP1. PLoS ONE. 8(3). e58622–e58622. 76 indexed citations
17.
Feng, Bing, Jiao Mu, Yuan Fa-huan, et al.. (2011). Uraemic serum induces dysfunction of vascular endothelial cells: role of ubiquitin-proteasome pathway. Experimental Physiology. 96(8). 801–815. 7 indexed citations
18.
Luo, Zhi-Feng, Wei Qi, Bing Feng, et al.. (2011). Prevention of diabetic nephropathy in rats through enhanced renal antioxidative capacity by inhibition of the proteasome. Life Sciences. 88(11-12). 512–520. 65 indexed citations
19.
Feng, Bing, Jiao Mu, Wei Zeng, et al.. (2010). Preventive Effect of a Proteasome Inhibitor on the Formation of Accelerated Atherosclerosis in Rabbits With Uremia. Journal of Cardiovascular Pharmacology. 55(2). 129–138. 24 indexed citations
20.
Mu, Jiao, et al.. (2010). Visfatin is related to lipid dysregulation, endothelial dysfunction and atherosclerosis in patients with chronic kidney disease. Journal of Nephrology. 24(2). 177–184. 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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