Mingyi Shi

1.3k total citations
45 papers, 1.1k citations indexed

About

Mingyi Shi is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Mingyi Shi has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cellular and Molecular Neuroscience, 21 papers in Endocrine and Autonomic Systems and 18 papers in Molecular Biology. Recurrent topics in Mingyi Shi's work include Neuropeptides and Animal Physiology (34 papers), Regulation of Appetite and Obesity (21 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (12 papers). Mingyi Shi is often cited by papers focused on Neuropeptides and Animal Physiology (34 papers), Regulation of Appetite and Obesity (21 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (12 papers). Mingyi Shi collaborates with scholars based in China and Sweden. Mingyi Shi's co-authors include Penghua Fang, Zhenwen Zhang, Ping Bo, Mei Yu, Yan Zhu, Lili Guo, Ling Zhang, Guangzhi Li, Bo Ping and Yinping Ma and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Mingyi Shi

45 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mingyi Shi 586 385 365 258 196 45 1.1k
Mei Yu 309 0.5× 252 0.7× 676 1.9× 205 0.8× 189 1.0× 45 1.4k
Tomi Streng 94 0.2× 182 0.5× 276 0.8× 110 0.4× 181 0.9× 50 1.6k
James E. Bowe 92 0.2× 142 0.4× 322 0.9× 336 1.3× 125 0.6× 36 1.1k
Carmelo Quarta 98 0.2× 260 0.7× 159 0.4× 142 0.6× 280 1.4× 38 1.1k
Monique C. Saleh 135 0.2× 96 0.2× 522 1.4× 467 1.8× 64 0.3× 34 1.5k
W. Wallace Harrington 147 0.3× 269 0.7× 611 1.7× 114 0.4× 62 0.3× 19 1.4k
André Sampaio Pupo 302 0.5× 49 0.1× 469 1.3× 68 0.3× 60 0.3× 53 1.1k
Ruth Gutiérrez‐Aguilar 107 0.2× 256 0.7× 624 1.7× 459 1.8× 108 0.6× 35 1.6k
Prasad S. Dalvi 70 0.1× 238 0.6× 242 0.7× 108 0.4× 47 0.2× 31 857
Esther Piltcher Haber 67 0.1× 174 0.5× 422 1.2× 366 1.4× 109 0.6× 15 1.2k

Countries citing papers authored by Mingyi Shi

Since Specialization
Citations

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

Fields of papers citing papers by Mingyi Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyi Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyi Shi. A scholar is included among the top collaborators of Mingyi Shi 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 Mingyi Shi. Mingyi Shi 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.
Shi, Mingyi, et al.. (2025). Diverse adaptation strategies of generalists and specialists to metal and salinity stress in the coastal sediments. Environmental Research. 271. 121073–121073. 1 indexed citations
2.
Li, Yongbin, Rui Zhang, Mingyi Shi, et al.. (2024). Bacterial community in the metal(loid)-contaminated marine vertical sediments of Jinzhou Bay: Impacts and adaptations. The Science of The Total Environment. 923. 171180–171180. 7 indexed citations
3.
Fang, Penghua, Mei Yu, Mingyi Shi, Ping Bo, & Zhenwen Zhang. (2019). Galanin peptide family regulation of glucose metabolism. Frontiers in Neuroendocrinology. 56. 100801–100801. 45 indexed citations
4.
Fang, Penghua, Yabin Sun, Xinru Gu, et al.. (2019). San-Huang-Tang protects obesity/diabetes induced NAFLD by upregulating PGC-1α/PEPCK signaling in obese and galr1 knockout mice models. Journal of Ethnopharmacology. 250. 112483–112483. 9 indexed citations
5.
Fang, Penghua, Yabin Sun, Xinru Gu, et al.. (2019). Baicalin ameliorates hepatic insulin resistance and gluconeogenic activity through inhibition of p38 MAPK/PGC-1α pathway. Phytomedicine. 64. 153074–153074. 56 indexed citations
6.
Wen, Min, Mingjie Wu, Penghua Fang, et al.. (2018). Effect of Baicalein on GLUT4 Translocation in Adipocytes of Diet-Induced Obese Mice. Cellular Physiology and Biochemistry. 50(2). 426–436. 16 indexed citations
7.
Fang, Penghua, Mei Yu, Min Wen, et al.. (2018). Beneficial effect of baicalin on insulin sensitivity in adipocytes of diet-induced obese mice. Diabetes Research and Clinical Practice. 139. 262–271. 28 indexed citations
8.
Fang, Penghua, Mei Yu, Lei Zhang, et al.. (2017). Baicalin against obesity and insulin resistance through activation of AKT/AS160/GLUT4 pathway. Molecular and Cellular Endocrinology. 448. 77–86. 58 indexed citations
9.
Fang, Penghua, Lei Zhang, Mei Yu, et al.. (2017). Activiated galanin receptor 2 attenuates insulin resistance in skeletal muscle of obese mice. Peptides. 99. 92–98. 22 indexed citations
10.
Fang, Penghua, et al.. (2015). Crosstalk between exercise and galanin system alleviates insulin resistance. Neuroscience & Biobehavioral Reviews. 59. 141–146. 10 indexed citations
11.
Fang, Penghua, Mingyi Shi, Xiaoyun Dong, et al.. (2015). The regulative effect of galanin family members on link of energy metabolism and reproduction. Peptides. 71. 240–249. 24 indexed citations
12.
Zhang, Zhenwen, Penghua Fang, Mingyi Shi, et al.. (2014). Endogenous galanin as a novel biomarker to predict gestational diabetes mellitus. Peptides. 54. 186–189. 31 indexed citations
13.
Fang, Penghua, Min Wen, Yong Sun, et al.. (2014). The potential antidepressant and antidiabetic effects of galanin system. Pharmacology Biochemistry and Behavior. 120. 82–87. 15 indexed citations
14.
Fang, Penghua, Mingyi Shi, Yan Zhu, Zhenwen Zhang, & Ping Bo. (2014). Central injection of GalR1 agonist M617 facilitates GLUT4 expression in cardiac muscle of type 2 diabetic rats. Experimental Gerontology. 65. 85–89. 16 indexed citations
15.
Fang, Penghua, Mingyi Shi, Mei Yu, et al.. (2013). Endogenous peptides as risk markers to assess the development of insulin resistance. Peptides. 51. 9–14. 20 indexed citations
16.
Yu, Mei, Penghua Fang, Mingyi Shi, et al.. (2013). Galanin receptors possibly modulate the obesity-induced change in pain threshold. Peptides. 44. 55–59. 17 indexed citations
17.
Fang, Penghua, et al.. (2011). Central nervous system regulation of food intake and energy expenditure: role of galanin-mediated feeding behavior. Neuroscience Bulletin. 27(6). 407–412. 32 indexed citations
18.
Guo, Lili, Mingyi Shi, Ling Zhang, et al.. (2011). Galanin antagonist increases insulin resistance by reducing glucose transporter 4 effect in adipocytes of rats. General and Comparative Endocrinology. 173(1). 159–163. 48 indexed citations
19.
Shi, Mingyi, Ling Zhang, Guangzhi Li, et al.. (2011). Beneficial effect of galanin on insulin sensitivity in muscle of type 2 diabetic rats. Physiology & Behavior. 103(3-4). 284–289. 63 indexed citations
20.
Jiang, Lei, Mingyi Shi, Lili Guo, et al.. (2009). Effect of M35, a neuropeptide galanin antagonist on glucose uptake translated by glucose transporter 4 in trained rat skeletal muscle. Neuroscience Letters. 467(2). 178–181. 32 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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