Minglan Yang

2.2k total citations
21 papers, 414 citations indexed

About

Minglan Yang is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Minglan Yang has authored 21 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in Minglan Yang's work include Adipose Tissue and Metabolism (5 papers), Pancreatic function and diabetes (4 papers) and Diabetes and associated disorders (3 papers). Minglan Yang is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Pancreatic function and diabetes (4 papers) and Diabetes and associated disorders (3 papers). Minglan Yang collaborates with scholars based in China, Saudi Arabia and Czechia. Minglan Yang's co-authors include Ruixin Liu, Jie Hong, Guang Ning, Lei Ye, Weiqiong Gu, Guang Ning, Weiqing Wang, Jie Gao, Bokai Wang and Weiqiong Gu and has published in prestigious journals such as PLoS ONE, Endocrinology and Nutrients.

In The Last Decade

Minglan Yang

21 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minglan Yang China 11 132 126 91 79 72 21 414
Lijun Dai China 13 153 1.2× 101 0.8× 41 0.5× 76 1.0× 69 1.0× 30 470
Hassen Kamoun Tunisia 15 266 2.0× 66 0.5× 145 1.6× 52 0.7× 27 0.4× 60 482
Shu-Dong Qiu China 12 197 1.5× 36 0.3× 105 1.2× 59 0.7× 30 0.4× 23 489
V. Vallet France 13 296 2.2× 154 1.2× 81 0.9× 68 0.9× 40 0.6× 17 582
B. Diane Richter United States 14 148 1.1× 212 1.7× 45 0.5× 97 1.2× 57 0.8× 18 723
Rui Feng China 12 180 1.4× 51 0.4× 38 0.4× 18 0.2× 49 0.7× 41 422
Jonathan Boucher Canada 11 110 0.8× 80 0.6× 60 0.7× 93 1.2× 58 0.8× 13 639
Li Yan China 10 151 1.1× 69 0.5× 35 0.4× 34 0.4× 64 0.9× 24 398
Jesús Jiménez United States 14 244 1.8× 37 0.3× 115 1.3× 47 0.6× 48 0.7× 42 629
Min Tang China 16 276 2.1× 37 0.3× 69 0.8× 33 0.4× 24 0.3× 38 613

Countries citing papers authored by Minglan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Minglan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minglan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Minglan Yang. A scholar is included among the top collaborators of Minglan Yang 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 Minglan Yang. Minglan Yang 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.
Yang, Minglan, et al.. (2024). Coreopsis tinctoria improves energy metabolism in obese hyperglycemic mice. Heliyon. 10(6). e27449–e27449. 1 indexed citations
2.
Lu, Xiaobing, Jiang Yue, Qianjing Liu, et al.. (2023). Thigh muscle fat fraction is independently associated with impaired glucose metabolism in individuals with obesity. Endocrine Connections. 12(11). 5 indexed citations
3.
Chen, Jie, Jiang Yue, Jingjing Fu, et al.. (2023). A prediction model of liver fat fraction and presence of non-alcoholic fatty liver disease (NAFLD) among patients with overweight or obesity. Endocrine Journal. 70(10). 977–985. 1 indexed citations
4.
Fang, Jing‐Jing, et al.. (2023). Diallyl trisulfide ameliorates bone loss and alters specific gut microbiota and serum metabolites in natural aging mice. Food & Function. 14(16). 7642–7653. 7 indexed citations
5.
Shi, Fang‐Hong, Jiang Yue, Yihong Jiang, et al.. (2022). Sodium-Glucose Co-Transporter 2 Inhibitors Use Improves the Satisfaction With Anti-diabetic Agent Treatment: A Questionnaire-based Propensity Score-matched Study. Frontiers in Pharmacology. 12. 787704–787704. 1 indexed citations
6.
Shu, Xin, Rui Chen, Minglan Yang, et al.. (2022). Gynostemma pentaphyllum and Gypenoside-IV Ameliorate Metabolic Disorder and Gut Microbiota in Diet-Induced-Obese Mice. Plant Foods for Human Nutrition. 77(3). 367–372. 11 indexed citations
7.
Ma, Jing, et al.. (2022). Immunotherapy-Associated Hypophysitis under Anti-PD1: Two CaseReports. Endocrine Metabolic & Immune Disorders - Drug Targets. 23(7). 996–1004. 4 indexed citations
8.
Yang, Minglan, Jie Chen, Jiang Yue, et al.. (2022). Liver fat is superior to visceral and pancreatic fat as a risk biomarker of impaired glucose regulation in overweight/obese subjects. Diabetes Obesity and Metabolism. 25(3). 716–725. 9 indexed citations
9.
Yang, Minglan, et al.. (2021). Association between Alpha B-crystallin expression and prognosis in patients with solid tumors. Medicine. 100(7). e24831–e24831. 6 indexed citations
10.
Zhang, Zhiyong, Yang He, Peng Lu, et al.. (2021). IRX3 Overexpression Enhances Ucp1 Expression In Vivo. Frontiers in Endocrinology. 12. 634191–634191. 10 indexed citations
11.
Qi, Yicheng, Wen Liu, Xiangsheng Wang, et al.. (2021). Adipose-derived mesenchymal stem cells from obese mice prevent body weight gain and hyperglycemia. Stem Cell Research & Therapy. 12(1). 277–277. 8 indexed citations
12.
Zhang, Minchun, Jie Chen, Minglan Yang, et al.. (2021). Low Doses of Sucralose Alter Fecal Microbiota in High-Fat Diet-Induced Obese Rats. Frontiers in Nutrition. 8. 787055–787055. 14 indexed citations
13.
Yang, Minglan, Ying Dong, Jianqing Tian, et al.. (2020). A novel compound heterozygous mutation of SLC12A3 gene in a pedigree with Gitelman syndrome and literature review. Genes & Genomics. 42(9). 1035–1040. 1 indexed citations
14.
Zhang, Chuanhai, Xiaoyun He, Yao Sheng, et al.. (2020). Allicin Regulates Energy Homeostasis through Brown Adipose Tissue. iScience. 23(5). 101113–101113. 35 indexed citations
15.
Ning, Tinglu, Minglan Yang, Maopei Chen, et al.. (2017). Genetic interaction of DGAT2 and FAAH in the development of human obesity. Endocrine. 56(2). 366–378. 13 indexed citations
16.
Ye, Lei, Li Li, Bing Wan, et al.. (2017). Immune response after autologous hematopoietic stem cell transplantation in type 1 diabetes mellitus. Stem Cell Research & Therapy. 8(1). 90–90. 45 indexed citations
17.
Yang, Minglan, Maopei Chen, Jiqiu Wang, et al.. (2016). Bisphenol A Promotes Adiposity and Inflammation in a Nonmonotonic Dose-response Way in 5-week-old Male and Female C57BL/6J Mice Fed a Low-calorie Diet. Endocrinology. 157(6). 2333–2345. 73 indexed citations
18.
Shi, Guojun, Chen Sun, Weiqiong Gu, et al.. (2014). Free fatty acid receptor 2, a candidate target for type 1 diabetes, induces cell apoptosis through ERK signaling. Journal of Molecular Endocrinology. 53(3). 367–380. 34 indexed citations
19.
20.
Zhang, Xiaofang, Jiong Hu, Wei Tang, et al.. (2012). Acute Response of Peripheral Blood Cell to Autologous Hematopoietic Stem Cell Transplantation in Type 1 Diabetic Patient. PLoS ONE. 7(2). e31887–e31887. 29 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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