Ming‐Dao Chen

2.0k total citations
41 papers, 1.7k citations indexed

About

Ming‐Dao Chen is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ming‐Dao Chen has authored 41 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Endocrine and Autonomic Systems and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ming‐Dao Chen's work include Regulation of Appetite and Obesity (12 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers) and Sexual Differentiation and Disorders (7 papers). Ming‐Dao Chen is often cited by papers focused on Regulation of Appetite and Obesity (12 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers) and Sexual Differentiation and Disorders (7 papers). Ming‐Dao Chen collaborates with scholars based in China, United States and Czechia. Ming‐Dao Chen's co-authors include Libin Zhou, Wenbin Shang, Fengying Li, Boren Jiang, Ying Yang, Jinfeng Tang, Jialun Chen, Hua Jin, Guoyue Yuan and Jun Yin and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Endocrinology.

In The Last Decade

Ming‐Dao Chen

41 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Dao Chen China 24 731 394 371 311 286 41 1.7k
Penghua Fang China 23 549 0.8× 210 0.5× 352 0.9× 215 0.7× 312 1.1× 81 1.6k
Da Sol Kim South Korea 26 500 0.7× 297 0.8× 148 0.4× 205 0.7× 427 1.5× 55 1.6k
R. Di Carlo Italy 21 404 0.6× 334 0.8× 127 0.3× 182 0.6× 204 0.7× 55 1.6k
Alison K. Gosby Australia 16 893 1.2× 416 1.1× 738 2.0× 272 0.9× 418 1.5× 19 2.0k
Hala F. Zaki Egypt 27 552 0.8× 221 0.6× 204 0.5× 123 0.4× 313 1.1× 101 1.9k
Marie‐Louise Ricketts United States 22 647 0.9× 1.1k 2.8× 171 0.5× 119 0.4× 196 0.7× 34 2.0k
Maria Pacilio Italy 14 330 0.5× 164 0.4× 121 0.3× 247 0.8× 210 0.7× 25 1.3k
Juan L. Hancke Chile 27 969 1.3× 103 0.3× 226 0.6× 138 0.4× 258 0.9× 61 2.4k
Anna Iacono Italy 17 558 0.8× 214 0.5× 231 0.6× 456 1.5× 412 1.4× 23 1.3k
Peter Y. Wielinga Netherlands 23 486 0.7× 310 0.8× 101 0.3× 464 1.5× 505 1.8× 40 1.7k

Countries citing papers authored by Ming‐Dao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Dao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Dao Chen. 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 Ming‐Dao Chen. The network helps show where Ming‐Dao Chen may publish in the future.

Co-authorship network of co-authors of Ming‐Dao Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Dao Chen. A scholar is included among the top collaborators of Ming‐Dao Chen 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 Ming‐Dao Chen. Ming‐Dao Chen 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.
Han, Bing, Wei Liu, Chao Zuo, et al.. (2013). Identifying a novel mutation of CYP17A1 gene from five Chinese 17α-hydroxylase/17, 20-lyase deficiency patients. Gene. 516(2). 345–350. 13 indexed citations
2.
Yuan, Guoyue, Jue Jia, Libin Zhou, et al.. (2012). Effects of C-reactive protein on adipokines genes expression in 3T3-L1 adipocytes. Biochemical and Biophysical Research Communications. 424(3). 462–468. 16 indexed citations
3.
Xue, Liqiong, Bing Han, Libo Chen, et al.. (2012). Identification of a novel mutation in CYP17A1 gene. Translational research. 161(1). 44–49. 3 indexed citations
4.
Wu, Jiajun, Jie Qiao, Bing Han, et al.. (2011). Genetic diagnosis and weight loss surgery of a case of Prader-Willi syndrome. Zhonghua neifenmi daixie zazhi. 27(6). 498–501. 2 indexed citations
5.
Qiao, Jie, Bingli Liu, Wei Liu, et al.. (2011). An unique exonic splicing mutation in the CYPI7AI gene as the cause of steroid 17α-hydroxylase deficiency. Zhonghua neifenmi daixie zazhi. 27(11). 911–915. 1 indexed citations
6.
Ma, Qinyun, Xiaona Zhang, He Jiang, et al.. (2011). Mimecan in pituitary corticotroph cells may regulate ACTH secretion and the HPAA. Molecular and Cellular Endocrinology. 341(1-2). 71–77. 8 indexed citations
7.
Zhou, Libin, Xiao Wang, Ying Yang, et al.. (2010). Berberine attenuates cAMP-induced lipolysis via reducing the inhibition of phosphodiesterase in 3T3-L1 adipocytes. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1812(4). 527–535. 45 indexed citations
8.
Zhu, Rongfeng, Ying Yang, & Ming‐Dao Chen. (2009). Chemerin: a novel adipokine. 29(2). 107–109. 5 indexed citations
9.
Chen, Ming‐Dao. (2009). Effects of "glucotoxicity", "lipotoxicity" and "glucolipotoxicity" on islet β-cells. Zhonghua neifenmi daixie zazhi. 25(1). 5–8. 1 indexed citations
10.
Qiao, Jie, Bing Han, Bingli Liu, et al.. (2009). A splice site mutation combined with a novel missense mutation ofLHCGRcause male pseudohermaphroditism. Human Mutation. 30(9). E855–E865. 33 indexed citations
11.
Li, Xuesong, Lijing Shao, Z. Wu, et al.. (2008). Influence of visceral adiposity on ghrelin secretion and expression in rats during fasting. Journal of Molecular Endocrinology. 42(1). 67–74. 6 indexed citations
12.
Jiang, Boren, Ying Yang, Hua Jin, et al.. (2008). Astragaloside IV attenuates lipolysis and improves insulin resistance induced by TNFα in 3T3‐L1 adipocytes. Phytotherapy Research. 22(11). 1434–1439. 39 indexed citations
13.
Shang, Wenbin, Ying Yang, Libin Zhou, et al.. (2008). Ginsenoside Rb1 stimulates glucose uptake through insulin-like signaling pathway in 3T3-L1 adipocytes. Journal of Endocrinology. 198(3). 561–569. 96 indexed citations
14.
Gu, Weiqiong, et al.. (2006). [Characteristics of the populations defined by different criteria of the metabolism syndrome].. PubMed. 28(6). 750–5. 1 indexed citations
15.
Shang, Wenbin, Ying Yang, Boren Jiang, et al.. (2006). Ginsenoside Rb1 promotes adipogenesis in 3T3-L1 cells by enhancing PPARγ2 and C/EBPα gene expression. Life Sciences. 80(7). 618–625. 119 indexed citations
16.
Yin, Jun, Ming‐Dao Chen, & Jinfeng Tang. (2004). Effects of berberine on glucose and lipid metabolism in animal experiment. 12(3). 215–218. 10 indexed citations
17.
Chen, Ming‐Dao, et al.. (2003). Effect of berberine on glucose transport in adipocyte and its mechanism. Zhonghua neifenmi daixie zazhi. 3 indexed citations
18.
Yin, Jun, Renming Hu, Ming‐Dao Chen, et al.. (2002). Effects of berberine on glucose metabolism in vitro. Metabolism. 51(11). 1439–1443. 216 indexed citations
19.
Gu, Weiqiong, et al.. (1999). The relationship between serum leptin concentration and adiposity in Chinese. Zhonghua neifenmi daixie zazhi. 15(1). 15–18. 1 indexed citations
20.
Ördög, Tamás, Ming‐Dao Chen, Masugi Nishihara, et al.. (1997). On the Role of Gonadotropin-Releasing Hormone (GnRH) in the Operation of the GnRH Pulse Generator in the Rhesus Monkey. Neuroendocrinology. 65(5). 307–313. 24 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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