Mingqun Deng

538 total citations
28 papers, 440 citations indexed

About

Mingqun Deng is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Mingqun Deng has authored 28 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Physiology. Recurrent topics in Mingqun Deng's work include Diabetes and associated disorders (8 papers), Birth, Development, and Health (7 papers) and Diabetes Management and Research (7 papers). Mingqun Deng is often cited by papers focused on Diabetes and associated disorders (8 papers), Birth, Development, and Health (7 papers) and Diabetes Management and Research (7 papers). Mingqun Deng collaborates with scholars based in China, Australia and Netherlands. Mingqun Deng's co-authors include Xinhua Xiao, Jia Zheng, Qian Zhang, Liyuan Zhou, Liyuan Zhou, Ming Li, Qian Zhang, Xinhua Xiao, Miao Yu and Miao Yu and has published in prestigious journals such as Frontiers in Physiology, Redox Biology and Frontiers in Endocrinology.

In The Last Decade

Mingqun Deng

27 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingqun Deng China 11 218 160 80 70 67 28 440
Liyuan Zhou China 14 163 0.7× 143 0.9× 94 1.2× 98 1.4× 59 0.9× 30 476
Sima-sadat Sabihi Iran 5 226 1.0× 255 1.6× 78 1.0× 51 0.7× 65 1.0× 7 608
Maciej Ziętek Poland 12 208 1.0× 93 0.6× 36 0.5× 118 1.7× 66 1.0× 40 660
Małgorzata Moszak Poland 10 232 1.1× 180 1.1× 89 1.1× 21 0.3× 66 1.0× 21 590
Anna M. Malinowska Poland 15 145 0.7× 175 1.1× 34 0.4× 57 0.8× 31 0.5× 43 491
Véronique Garneau Canada 14 134 0.6× 136 0.8× 61 0.8× 27 0.4× 50 0.7× 28 503
Juan de Toro‐Martín Canada 11 218 1.0× 228 1.4× 77 1.0× 54 0.8× 67 1.0× 35 638
Sara Castro‐Barquero Spain 8 102 0.5× 165 1.0× 95 1.2× 30 0.4× 24 0.4× 19 457
Eva Aumueller Austria 9 458 2.1× 289 1.8× 76 0.9× 32 0.5× 63 0.9× 10 623
Justyna Kikut Poland 11 129 0.6× 50 0.3× 32 0.4× 61 0.9× 54 0.8× 18 479

Countries citing papers authored by Mingqun Deng

Since Specialization
Citations

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

Fields of papers citing papers by Mingqun Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingqun Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Mingqun Deng. A scholar is included among the top collaborators of Mingqun Deng 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 Mingqun Deng. Mingqun Deng 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.
Liu, J. Y., et al.. (2024). Metabolomics analysis of serum and urine in type 1 diabetes patients with different time in range derived from continuous glucose monitoring. Diabetology & Metabolic Syndrome. 16(1). 21–21. 7 indexed citations
2.
Pan, Qi, et al.. (2023). Medications and medical expenditures for diabetic patients with osteoporosis in Beijing, China: A retrospective study. Diabetes Research and Clinical Practice. 206. 110980–110980. 3 indexed citations
3.
Chen, Huan, et al.. (2023). Maturity-onset diabetes of the young type 10 caused by an Ala2Thr mutation of INS: A case report. World Journal of Diabetes. 14(12). 1877–1884. 3 indexed citations
4.
Feng, Xinyuan, et al.. (2023). Impact of gut microbiota and associated mechanisms on postprandial glucose levels in patients with diabetes. Journal of Translational Internal Medicine. 11(4). 363–371. 8 indexed citations
5.
6.
Wang, Weihao, Zhi Chen, Fei Chen, et al.. (2022). Application of novel subgroups of Chinese inpatients with diabetes based on machine learning paradigm. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 16(7). 102556–102556. 3 indexed citations
7.
Deng, Mingqun, Liyuan Zhou, Junling Fu, et al.. (2021). Relationship between Time in Range Derived from Flash Glucose Monitoring System and HbA1c. 0–0. 1 indexed citations
8.
Wang, Xiaojing, Sin Man Lam, Mingjun Cao, et al.. (2021). Localized increases in CEPT1 and ATGL elevate plasmalogen phosphatidylcholines in HDLs contributing to atheroprotective lipid profiles in hyperglycemic GCK-MODY. Redox Biology. 40. 101855–101855. 18 indexed citations
9.
Fu, Junling, Fan Ping, Tong Wang, et al.. (2021). A Clinical Prediction Model to Distinguish Maturity-Onset Diabetes of the Young From Type 1 and Type 2 Diabetes in the Chinese Population. Endocrine Practice. 27(8). 776–782. 10 indexed citations
10.
Zhou, Liyuan, Mingqun Deng, J. Y. Liu, et al.. (2021). The Effects of Dietary Nutrition Intake on Glycemic Variability in Type 1 Diabetes Mellitus Adults. Diabetes Therapy. 12(4). 1055–1071. 10 indexed citations
11.
12.
Zhou, Liyuan, Mingqun Deng, Qian Zhang, & Xinhua Xiao. (2020). Early-life nutrition and metabolic disorders in later life: a new perspective on energy metabolism. Chinese Medical Journal. 133(16). 1961–1970. 31 indexed citations
13.
Zhou, Liyuan, Mingqun Deng, & Xinhua Xiao. (2020). Potential contribution of the gut microbiota to hypoglycemia after gastric bypass surgery. Chinese Medical Journal. 133(15). 1834–1843. 9 indexed citations
14.
Zhou, Liyuan, Xinhua Xiao, Ming Li, et al.. (2020). Maternal Exercise Improves High-Fat Diet-Induced Metabolic Abnormalities and Gut Microbiota Profiles in Mouse Dams and Offspring. Frontiers in Cellular and Infection Microbiology. 10. 292–292. 37 indexed citations
15.
Zhou, Liyuan, Xinhua Xiao, Qian Zhang, et al.. (2019). Dietary Genistein Could Modulate Hypothalamic Circadian Entrainment, Reduce Body Weight, and Improve Glucose and Lipid Metabolism in Female Mice. International Journal of Endocrinology. 2019. 1–10. 19 indexed citations
16.
Zhou, Liyuan, Xinhua Xiao, Qian Zhang, Jia Zheng, & Mingqun Deng. (2019). Deciphering the Anti-obesity Benefits of Resveratrol: The “Gut Microbiota-Adipose Tissue” Axis. Frontiers in Endocrinology. 10. 413–413. 53 indexed citations
17.
18.
Deng, Mingqun, Xinhua Xiao, Liyuan Zhou, & Tong Wang. (2019). First Case Report of Maturity-Onset Diabetes of the Young Type 4 Pedigree in a Chinese Family. Frontiers in Endocrinology. 10. 406–406. 20 indexed citations
19.
Zhou, Liyuan, Xinhua Xiao, Qian Zhang, Jia Zheng, & Mingqun Deng. (2019). Maternal Genistein Intake Mitigates the Deleterious Effects of High-Fat Diet on Glucose and Lipid Metabolism and Modulates Gut Microbiota in Adult Life of Male Mice. Frontiers in Physiology. 10. 985–985. 40 indexed citations
20.
Zhou, Liyuan, Xinhua Xiao, Qian Zhang, et al.. (2018). Improved Glucose and Lipid Metabolism in the Early Life of Female Offspring by Maternal Dietary Genistein Is Associated With Alterations in the Gut Microbiota. Frontiers in Endocrinology. 9. 516–516. 78 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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