Jing Cheng

1.2k total citations
48 papers, 907 citations indexed

About

Jing Cheng is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Epidemiology. According to data from OpenAlex, Jing Cheng has authored 48 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 13 papers in Physiology and 11 papers in Epidemiology. Recurrent topics in Jing Cheng's work include Vitamin D Research Studies (6 papers), Thyroid Disorders and Treatments (6 papers) and Birth, Development, and Health (6 papers). Jing Cheng is often cited by papers focused on Vitamin D Research Studies (6 papers), Thyroid Disorders and Treatments (6 papers) and Birth, Development, and Health (6 papers). Jing Cheng collaborates with scholars based in China, United States and Czechia. Jing Cheng's co-authors include Yingli Lu, Ningjian Wang, Fangzhen Xia, Chi Chen, Bing Han, Li Zhao, Xiaomin Nie, Hualing Zhai, Yi Chen and Michael D. Jensen and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Jing Cheng

47 papers receiving 902 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Cheng China 19 224 215 183 157 144 48 907
Tiziana Filardi Italy 19 261 1.2× 316 1.5× 130 0.7× 208 1.3× 101 0.7× 49 1.3k
Savita Verma Attri India 19 146 0.7× 182 0.8× 115 0.6× 111 0.7× 169 1.2× 115 1.2k
Eleni Kandaraki Greece 25 451 2.0× 245 1.1× 171 0.9× 197 1.3× 212 1.5× 61 2.1k
Hualing Zhai China 24 401 1.8× 198 0.9× 201 1.1× 142 0.9× 70 0.5× 49 1.2k
Britt-Marie Loo Finland 24 282 1.3× 373 1.7× 233 1.3× 152 1.0× 159 1.1× 43 1.4k
Recep Demirbağ Türkiye 24 149 0.7× 220 1.0× 136 0.7× 143 0.9× 44 0.3× 120 1.6k
Robin Shoemaker United States 11 186 0.8× 149 0.7× 105 0.6× 162 1.0× 68 0.5× 25 816
Juxiang Li China 18 112 0.5× 173 0.8× 125 0.7× 142 0.9× 48 0.3× 72 1.1k
Maria Cristina Savanelli Italy 22 519 2.3× 211 1.0× 170 0.9× 450 2.9× 102 0.7× 37 1.6k
Xinwen Min China 18 142 0.6× 192 0.9× 127 0.7× 105 0.7× 32 0.2× 45 894

Countries citing papers authored by Jing Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jing Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Cheng. A scholar is included among the top collaborators of Jing Cheng 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 Jing Cheng. Jing Cheng 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.
2.
Li, Huixia, Chi Chen, Yi Chen, et al.. (2023). High prevalence of metabolic diseases, liver steatosis and fibrosis among Chinese psychiatric patients. BMC Psychiatry. 23(1). 206–206. 3 indexed citations
3.
Chen, Yi, Qian Xiang, Ningjian Wang, et al.. (2022). Are ethnic differences, urinary iodine status, lead and cadmium exposure associated with thyroid autoimmunity and hypothyroid status? A cross-sectional study. BMJ Open. 12(2). e056909–e056909. 8 indexed citations
4.
Li, Weiguo, et al.. (2022). Efficacy and safety of liraglutide in patients with type 2 diabetes mellitus and severe obstructive sleep apnea. Sleep And Breathing. 27(5). 1687–1694. 41 indexed citations
5.
6.
Wang, Bin, Heng Wan, Jing Cheng, et al.. (2021). Blood lead, vitamin D status, and albuminuria in patients with type 2 diabetes. Environmental Pollution. 276. 116653–116653. 14 indexed citations
7.
Wáng, Yì, Yang Yao, Hongsong Li, et al.. (2021). Different effects of anti-VEGF drugs (Ranibizumab, Aflibercept, Conbercept) on autophagy and its effect on neovascularization in RF/6A cells. Microvascular Research. 138. 104207–104207. 9 indexed citations
8.
Han, Bing, Chi Chen, Yi Chen, et al.. (2020). Relationship between Gene Polymorphisms and Urine Iodine Levels on Susceptibility to Thyroid Peroxidase Antibody Positivity in the Chinese Population. European Thyroid Journal. 10(1). 1–7. 3 indexed citations
9.
Wang, Ningjian, Chi Chen, Li Zhao, et al.. (2018). Vitamin D and Nonalcoholic Fatty Liver Disease: Bi-directional Mendelian Randomization Analysis. EBioMedicine. 28. 187–193. 51 indexed citations
10.
Zhao, Li, Chunfang Zhu, Yi Chen, et al.. (2018). LH/FSH Ratio Is Associated With Visceral Adipose Dysfunction in Chinese Women Older Than 55. Frontiers in Endocrinology. 9. 419–419. 11 indexed citations
11.
Chen, Chi, Hualing Zhai, G. Huang, et al.. (2018). Is lower low-density lipoprotein cholesterol associated with lower androgen and erectile dysfunction in men?. Nutrition Metabolism and Cardiovascular Diseases. 28(12). 1304–1310. 7 indexed citations
12.
Chen, Chi, Li Zhao, Li Qin, et al.. (2018). Famine exposure in early life is associated with visceral adipose dysfunction in adult females. European Journal of Nutrition. 58(4). 1625–1633. 19 indexed citations
13.
Fu, Qiang, et al.. (2017). [MiR-145 inhibits drug resistance to Oxaliplatin in colorectal cancer cells through regulating G protein coupled receptor 98].. PubMed. 20(5). 566–570. 13 indexed citations
14.
Zhang, Kun, Yi Chen, Lijie Liu, et al.. (2017). The Triglycerides and Glucose Index rather than HOMA-IR is more associated with Hypogonadism in Chinese men. Scientific Reports. 7(1). 15874–15874. 18 indexed citations
15.
Zhao, Li, Jing Cheng, Yingchao Chen, et al.. (2017). Serum alanine aminotransferase/aspartate aminotransferase ratio is one of the best markers of insulin resistance in the Chinese population. Nutrition & Metabolism. 14(1). 64–64. 37 indexed citations
16.
Fu, Qiang, Jing Cheng, Yonglei Zhang, et al.. (2016). Downregulation of YEATS4 by miR-218 sensitizes colorectal cancer cells to L-OHP-induced cell apoptosis by inhibiting cytoprotective autophagy. Oncology Reports. 36(6). 3682–3690. 32 indexed citations
17.
Chen, Chi, Ningjian Wang, Hualing Zhai, et al.. (2016). Associations of blood lead levels with reproductive hormone levels in men and postmenopausal women: Results from the SPECT-China Study. Scientific Reports. 6(1). 37809–37809. 34 indexed citations
18.
Wang, Ningjian, Jing Cheng, Bing Han, et al.. (2016). Exposure to severe famine in the prenatal or postnatal period and the development of diabetes in adulthood: an observational study. Diabetologia. 60(2). 262–269. 66 indexed citations
19.
Du, Junhui, Rong Li, Lin Xu, et al.. (2015). Increased Serum Chemerin Levels in Diabetic Retinopathy of Type 2 Diabetic Patients. Current Eye Research. 41(1). 114–120. 27 indexed citations
20.
Fu, Qiang, et al.. (2013). Current evidence on the relationship between SNP309 polymorphism in the MDM2 gene and colorectal cancer risk. Tumor Biology. 34(6). 3721–3729. 7 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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