Xiaojun Ma

2.2k total citations
63 papers, 1.8k citations indexed

About

Xiaojun Ma is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Xiaojun Ma has authored 63 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 16 papers in Cancer Research and 15 papers in Physiology. Recurrent topics in Xiaojun Ma's work include Cancer-related molecular mechanisms research (11 papers), Adipose Tissue and Metabolism (11 papers) and Regulation of Appetite and Obesity (10 papers). Xiaojun Ma is often cited by papers focused on Cancer-related molecular mechanisms research (11 papers), Adipose Tissue and Metabolism (11 papers) and Regulation of Appetite and Obesity (10 papers). Xiaojun Ma collaborates with scholars based in China, United States and Macao. Xiaojun Ma's co-authors include Feng Guo, Guijun Qin, Ligen Lin, Lina Wu, Yanyan Zhao, Qingzhu Wang, Yuxiang Sun, Lina Wu, Hongfei Ji and Guijun Qin and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Xiaojun Ma

62 papers receiving 1.7k citations

Peers

Xiaojun Ma

PHYSI

EPIDE

EAS

Xiao‐Qing Xiong China

Carrie M. Elks United States

Stephan Schiekofer Germany

Susana Rovira‐Llopis Spain

Amy L. Sindler United States

Wen Su China

Xu Teng China

Mengen Zhai China

Takeshi Yoshizaki Japan

Maurizio Ragni Italy

Xiao‐Qing Xiong China

Xiaojun Ma

753 ×1.1

736 ×1.4

PHYSI

392 ×1.0

EPIDE

181 ×0.6

EAS

145 ×0.5

Citations per year, relative to Xiaojun Ma Xiaojun Ma (= 1×) peers Xiao‐Qing Xiong

Countries citing papers authored by Xiaojun Ma

Since Specialization

Citations

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

Fields of papers citing papers by Xiaojun Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Ma. A scholar is included among the top collaborators of Xiaojun 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 Xiaojun Ma. Xiaojun Ma 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

Ji, Hongfei, Yanyan Zhao, Xiaojun Ma, et al.. (2023). Upregulation of UHRF1 Promotes PINK1-mediated Mitophagy to Alleviates Ferroptosis in Diabetic Nephropathy. Inflammation. 47(2). 718–732. 13 indexed citations

Li, Zonghui, Xiaojun Ma, Qiang Gao, Mingxin Zhang, & Hao Hu. (2023). A Photocurable Polysaccharide-Based Hydrogel Delivery of Polydeoxyribonucleotide-Loaded Vectors for Wound Treatment. Molecules. 28(19). 6788–6788. 4 indexed citations

Ma, Xiaojun, et al.. (2022). A randomized controlled trial of Baduanjin exercise to reduce the risk of atherosclerotic cardiovascular disease in patients with prediabetes. Scientific Reports. 12(1). 19338–19338. 16 indexed citations

Zhang, Yong, Yuan Zhang, Kun Yang, et al.. (2021). MALAT1 knockdown promoted cell viability and migration of LPS-treated MG-63 cells via sponging miR-212. Genes & Genomics. 43(5). 523–531. 6 indexed citations

Liu, Lin, et al.. (2020). Comparing the effects of 12 months aerobic exercise and resistance training on glucose metabolism among prediabetes phenotype: A explorative randomized controlled trial. Primary care diabetes. 15(2). 340–346. 11 indexed citations

Zhao, Yanyan, Feng Guo, Yi Song, et al.. (2020). Urinary Exosomal MiRNA-4534 as a Novel Diagnostic Biomarker for Diabetic Kidney Disease. Frontiers in Endocrinology. 11. 590–590. 54 indexed citations

Wang, Jiao, Xiang Wang, Zhizhen Li, et al.. (2019). The apoptosis and GLP-1 hyposecretion induced by LPS via RIP/ROS/mTOR pathway in GLUTag cells. Biochimie. 162. 229–238. 5 indexed citations

Li, Li, Zhizhen Li, Ying Zhang, et al.. (2018). Effect of hyperlipidemia on the incidence of cardio-cerebrovascular events in patients with type 2 diabetes. Lipids in Health and Disease. 17(1). 102–102. 35 indexed citations

Ma, Xiaojun, et al.. (2018). JIP3 knockout protects mice against high fat diet-induced liver injury. Biochemical and Biophysical Research Communications. 497(3). 819–826. 5 indexed citations

10.

Zhao, Yanyan, Chunhua Song, Xiaokun Ma, et al.. (2017). Synergistic Effect of Family History of Diabetes and Dietary Habits on the Risk of Type 2 Diabetes in Central China. International Journal of Endocrinology. 2017. 1–8. 16 indexed citations

11.

Ma, Xiaojun, Lina Wu, Mengmeng Du, et al.. (2016). Vitamin D supplement improved testicular function in diabetic rats. Biochemical and Biophysical Research Communications. 473(1). 161–167. 37 indexed citations

12.

Du, Mengmeng, Qingzhu Wang, Wen Li, et al.. (2016). Overexpression of FOXO1 ameliorates the podocyte epithelial–mesenchymal transition induced by high glucose in vitro and in vivo. Biochemical and Biophysical Research Communications. 471(4). 416–422. 34 indexed citations

13.

Wu, Lina, Qingzhu Wang, Feng Guo, et al.. (2016). MicroRNA-27a Induces Mesangial Cell Injury by Targeting of PPARγ and its In Vivo Knockdown Prevents Progression of Diabetic Nephropathy. Scientific Reports. 6(1). 26072–26072. 61 indexed citations

14.

Li, Wen, Qingzhu Wang, Mengmeng Du, et al.. (2016). Effects of overexpressing FoxO1 on apoptosis in glomeruli of diabetic mice and in podocytes cultured in high glucose medium. Biochemical and Biophysical Research Communications. 478(2). 612–617. 35 indexed citations

15.

Guo, Feng, Qingzhu Wang, Lina Wu, et al.. (2015). Lentiviral Vector‐Mediated FoxO1 Overexpression Inhibits Extracellular Matrix Protein Secretion Under High Glucose Conditions in Mesangial Cells. Journal of Cellular Biochemistry. 117(1). 74–83. 11 indexed citations

16.

Wang, Qingzhu, Zhizhen Li, Xiaojun Ma, et al.. (2015). LDOC1 inhibits proliferation and promotes apoptosis by repressing NF-κB activation in papillary thyroid carcinoma. Journal of Experimental & Clinical Cancer Research. 34(1). 146–146. 33 indexed citations

17.

Wu, Lina, Qingzhu Wang, Feng Guo, et al.. (2015). Activation of FoxO1/ PGC-1α prevents mitochondrial dysfunction and ameliorates mesangial cell injury in diabetic rats. Molecular and Cellular Endocrinology. 413. 1–12. 43 indexed citations

18.

Ma, Xiaojun, Yanyan Zhao, Qingzhu Wang, et al.. (2014). Plasma Ghrelin Concentrations Are Negatively Correlated With Urine Albumin-to-Creatinine Ratio in Newly Diagnosed Type 2 Diabetes. The American Journal of the Medical Sciences. 348(5). 382–386. 2 indexed citations

19.

Ma, Xiaojun, Ligen Lin, Jing Yue, et al.. (2013). Ghrelin receptor regulates HFCS-induced adipose inflammation and insulin resistance. Nutrition and Diabetes. 3(12). e99–e99. 33 indexed citations

20.

Lin, Ligen, Pradip Saha, Xiaojun Ma, et al.. (2011). Ablation of ghrelin receptor reduces adiposity and improves insulin sensitivity during aging by regulating fat metabolism in white and brown adipose tissues. Aging Cell. 10(6). 996–1010. 156 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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