Zhen Cang

1.0k total citations
18 papers, 806 citations indexed

About

Zhen Cang is a scholar working on Pathology and Forensic Medicine, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Zhen Cang has authored 18 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 5 papers in Epidemiology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Zhen Cang's work include Vitamin D Research Studies (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Heavy Metal Exposure and Toxicity (3 papers). Zhen Cang is often cited by papers focused on Vitamin D Research Studies (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Heavy Metal Exposure and Toxicity (3 papers). Zhen Cang collaborates with scholars based in China and United States. Zhen Cang's co-authors include Yingli Lu, Ningjian Wang, Xiaomin Nie, Fangzhen Xia, Meng Lu, Bing Han, Yingchao Chen, Chi Chen, Chunfang Zhu and Ying Meng and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Zhen Cang

18 papers receiving 796 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhen Cang China	15	205	198	192	170	125	18	806
Jing Cheng China	19	118 0.6×	215 1.1×	224 1.2×	183 1.1×	99 0.8×	48	907
Xiaomin Nie China	19	372 1.8×	238 1.2×	276 1.4×	166 1.0×	198 1.6×	48	1.1k
Meng Lu China	17	240 1.2×	113 0.6×	214 1.1×	178 1.0×	138 1.1×	32	893
Hualing Zhai China	24	326 1.6×	198 1.0×	401 2.1×	201 1.2×	196 1.6×	49	1.2k
Eleni Kandaraki Greece	25	310 1.5×	245 1.2×	451 2.3×	171 1.0×	76 0.6×	61	2.1k
Eun Sil Koh South Korea	19	102 0.5×	197 1.0×	238 1.2×	129 0.8×	104 0.8×	62	1.0k
Danijela Ristić-Medić Serbia	16	231 1.1×	158 0.8×	175 0.9×	150 0.9×	654 5.2×	59	1.3k
M. Rodamilans Spain	19	341 1.7×	116 0.6×	58 0.3×	97 0.6×	119 1.0×	44	938
Tiziana Filardi Italy	19	69 0.3×	316 1.6×	261 1.4×	130 0.8×	58 0.5×	49	1.3k
Dilina do Nascimento Marreiro Brazil	19	140 0.7×	90 0.5×	87 0.5×	96 0.6×	454 3.6×	38	846

Countries citing papers authored by Zhen Cang

Since Specialization

Citations

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

Fields of papers citing papers by Zhen Cang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Cang

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

All Works

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18 of 18 papers shown

Shao, Kan, Liuqing Xi, Zhen Cang, Cheng Chen, & Shan Huang. (2020). Knockdown of NEAT1 exerts suppressive effects on diabetic retinopathy progression via inactivating TGF‐β1 and VEGF signaling pathways. Journal of Cellular Physiology. 235(12). 9361–9369. 31 indexed citations

Xu, Bojin, Qianqian Wang, Wenyi Li, et al.. (2020). Circular RNA circEIF4G2 aggravates renal fibrosis in diabetic nephropathy by sponging miR‐218. Journal of Cellular and Molecular Medicine. 26(6). 1799–1805. 34 indexed citations

Ge, Xiaoxu, Liuqing Xi, Qianqian Wang, et al.. (2020). Circular RNA Circ_0000064 promotes the proliferation and fibrosis of mesangial cells via miR-143 in diabetic nephropathy. Gene. 758. 144952–144952. 36 indexed citations

Han, Bing, Qin Li, Ningjian Wang, et al.. (2018). Sexual Dimorphism for the Association between Vitamin D and Insulin Resistance in Chinese People. International Journal of Endocrinology. 2018. 1–6. 6 indexed citations

Cang, Zhen, Ningjian Wang, Qin Li, et al.. (2017). Serum vitamin D levels of the natural population in eastern China. Zhonghua neifenmi daixie zazhi. 33(9). 726–729. 1 indexed citations

Wang, Ningjian, Yi Chen, Xiaomin Nie, et al.. (2017). Health-related quality of life in type-2 diabetes patients: a cross-sectional study in East China. BMC Endocrine Disorders. 17(1). 38–38. 51 indexed citations

Han, Bing, Xiaojin Wang, Ningjian Wang, et al.. (2017). Investigation of vitamin D status and its correlation with insulin resistance in a Chinese population. Public Health Nutrition. 20(9). 1602–1608. 17 indexed citations

Gao, Fengbin, Boren Jiang, Zhen Cang, et al.. (2017). Serum Uric Acid Is Associated with Erectile Dysfunction: A Population-Based Cross-Sectional Study in Chinese Men. Scientific Reports. 7(1). 2087–2087. 16 indexed citations

Zhao, Li, Zhen Cang, Honglin Sun, et al.. (2017). Berberine improves glucogenesis and lipid metabolism in nonalcoholic fatty liver disease. BMC Endocrine Disorders. 17(1). 13–13. 71 indexed citations

10.

Sun, Honglin, Ningjian Wang, Xiaomin Nie, et al.. (2017). Lead Exposure Induces Weight Gain in Adult Rats, Accompanied by DNA Hypermethylation. PLoS ONE. 12(1). e0169958–e0169958. 47 indexed citations

11.

Zhu, Hui, Ningjian Wang, Bing Han, et al.. (2016). Low Sex Hormone-Binding Globulin Levels Associate with Prediabetes in Chinese Men Independent of Total Testosterone. PLoS ONE. 11(9). e0162004–e0162004. 8 indexed citations

12.

Zhai, Hualing, Ningjian Wang, Bing Han, et al.. (2016). Low vitamin D levels and non-alcoholic fatty liver disease, evidence for their independent association in men in East China: a cross-sectional study (Survey on Prevalence in East China for Metabolic Diseases and Risk Factors (SPECT-China)). British Journal Of Nutrition. 115(8). 1352–1359. 57 indexed citations

13.

Nie, Xiaomin, Ningjian Wang, Yi Chen, et al.. (2016). Blood cadmium in Chinese adults and its relationships with diabetes and obesity. Environmental Science and Pollution Research. 23(18). 18714–18723. 85 indexed citations

14.

Sun, Honglin, Ningjian Wang, Zhen Cang, et al.. (2016). Modulation of Microbiota-Gut-Brain Axis by Berberine Resulting in Improved Metabolic Status in High-Fat Diet-Fed Rats. Obesity Facts. 9(6). 365–378. 76 indexed citations

15.

Wang, Ningjian, Bing Han, Qin Li, et al.. (2015). Follicle-stimulating hormone associates with prediabetes and diabetes in postmenopausal women. Acta Diabetologica. 53(2). 227–236. 67 indexed citations

16.

Li, Qin, Ningjian Wang, Bing Han, et al.. (2015). Neck circumference as an independent indicator to non-alcoholic fatty liver disease in non-obese men. Nutrition & Metabolism. 12(1). 63–63. 33 indexed citations

17.

Wang, Ningjian, Chi Chen, Xiaomin Nie, et al.. (2015). Blood lead level and its association with body mass index and obesity in China - Results from SPECT-China study. Scientific Reports. 5(1). 18299–18299. 71 indexed citations

18.

Wang, Ningjian, Xiaojin Wang, Bing Han, et al.. (2015). Is Exposure to Famine in Childhood and Economic Development in Adulthood Associated With Diabetes?. The Journal of Clinical Endocrinology & Metabolism. 100(12). 4514–4523. 99 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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