Huaiping Shi

1.0k total citations
35 papers, 818 citations indexed

About

Huaiping Shi is a scholar working on Molecular Biology, Nutrition and Dietetics and Biochemistry. According to data from OpenAlex, Huaiping Shi has authored 35 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Nutrition and Dietetics and 10 papers in Biochemistry. Recurrent topics in Huaiping Shi's work include Fatty Acid Research and Health (10 papers), Lipid metabolism and biosynthesis (9 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Huaiping Shi is often cited by papers focused on Fatty Acid Research and Health (10 papers), Lipid metabolism and biosynthesis (9 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). Huaiping Shi collaborates with scholars based in China, United States and Canada. Huaiping Shi's co-authors include Juan J. Loor, Jun Luo, Dawei Yao, Huifen Xu, Hengbo Shi, Jun Luo, Duo‐Yao Cao, Jiangjiang Zhu, Shuang Sun and Yuting Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Huaiping Shi

32 papers receiving 803 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huaiping Shi China 16 421 279 179 159 157 35 818
Dawei Yao China 15 460 1.1× 386 1.4× 168 0.9× 185 1.2× 220 1.4× 27 837
Huifen Xu China 20 593 1.4× 388 1.4× 192 1.1× 208 1.3× 229 1.5× 61 1.1k
Tanya D. Russell United States 13 342 0.8× 131 0.5× 219 1.2× 139 0.9× 240 1.5× 16 807
Hengbo Shi China 19 610 1.4× 442 1.6× 281 1.6× 248 1.6× 367 2.3× 46 1.2k
Huibin Tian China 14 280 0.7× 191 0.7× 93 0.5× 132 0.8× 104 0.7× 37 497
Xiaoming Hou China 14 292 0.7× 133 0.5× 74 0.4× 174 1.1× 70 0.4× 36 551
Anil K.G. Kadegowda United States 16 348 0.8× 156 0.6× 373 2.1× 181 1.1× 298 1.9× 20 1.1k
Ye Lin China 13 262 0.6× 107 0.4× 61 0.3× 143 0.9× 84 0.5× 26 509
Chaochao Luo China 16 408 1.0× 117 0.4× 98 0.5× 117 0.7× 38 0.2× 32 678
Melinda E. Fernyhough United States 15 424 1.0× 114 0.4× 95 0.5× 139 0.9× 77 0.5× 21 975

Countries citing papers authored by Huaiping Shi

Since Specialization
Citations

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

Fields of papers citing papers by Huaiping Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huaiping Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Huaiping Shi. A scholar is included among the top collaborators of Huaiping 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 Huaiping Shi. Huaiping 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, Huaiping, et al.. (2025). Yeast cultures improve lactation performance by influencing rumen microbial composition in dairy goats. SHILAP Revista de lepidopterología. 2. 1 indexed citations
2.
Xie, Zhenghui, Siying Wu, Huaiping Shi, et al.. (2025). Land Consolidation Potential Assessment by Using the Production–Living–Ecological Space Framework in the Guanzhong Plain, China. Sustainability. 17(15). 6887–6887.
3.
Zhang, Wenbo, et al.. (2025). Characterization of pivotal metabolites influencing the production of milk components in dairy goats. Food Chemistry. 493(Pt 2). 145783–145783.
4.
Chen, Xiaoying, et al.. (2022). Lactoferrin alleviates spermatogenesis dysfunction caused by bisphenol A and cadmium via ameliorating disordered autophagy, apoptosis and oxidative stress. International Journal of Biological Macromolecules. 222(Pt A). 1048–1062. 11 indexed citations
5.
Li, Xiang, et al.. (2022). Bisphenol A exposure causes testicular toxicity by targeting DPY30-mediated post-translational modification of PI3K/AKT signaling in mice. Ecotoxicology and Environmental Safety. 243. 113996–113996. 15 indexed citations
6.
Li, Cong, et al.. (2021). Comparison of microbial diversity in rumen and small intestine of Xinong Saanen dairy goats using 16S rRNA gene high-throughput sequencing. Animal Production Science. 62(14). 1379–1390. 6 indexed citations
7.
Zhang, Tianying, Cong Li, Lian Huang, et al.. (2019). Regulation of Stearoyl-Coenzyme A Desaturase 1 by trans-10,cis-12 Conjugated Linoleic Acid via SREBP1 in Primary Goat Mammary Epithelial Cells. Journal of Agricultural and Food Chemistry. 67(5). 1463–1469. 8 indexed citations
8.
Li, Cong, Miao Wang, Tianying Zhang, et al.. (2018). Insulin-induced gene 1 and 2 isoforms synergistically regulate triacylglycerol accumulation, lipid droplet formation, and lipogenic gene expression in goat mammary epithelial cells. Journal of Dairy Science. 102(2). 1736–1746. 21 indexed citations
9.
Zhao, Lin, et al.. (2017). Heparanase expression in blood is sensitive to monitor response to anticancer treatment in pancreatic cancer, a pilot study. Pancreatology. 18(1). 100–105. 3 indexed citations
10.
Wang, Hui, Huaiping Shi, Jun Luo, et al.. (2016). MiR‐145 Regulates Lipogenesis in Goat Mammary Cells Via Targeting INSIG1 and Epigenetic Regulation of Lipid‐Related Genes. Journal of Cellular Physiology. 232(5). 1030–1040. 51 indexed citations
11.
Chen, Zhi, Huaiping Shi, Shuang Sun, et al.. (2016). MicroRNA-181b suppresses TAG via target IRS2 and regulating multiple genes in the Hippo pathway. Experimental Cell Research. 348(1). 66–74. 33 indexed citations
12.
Shi, Huaiping, Tianying Zhang, Yongqing Yi, & Yue Ma. (2016). Inhibition of the Ras-ERK pathway in mitotic COS7 cells is due to the inability of EGFR/Raf to transduce EGF signaling to downstream proteins. Oncology Reports. 35(6). 3593–3599. 2 indexed citations
13.
14.
Shi, Hengbo, Kang Yu, Jun Luo, et al.. (2015). Adipocyte differentiation-related protein promotes lipid accumulation in goat mammary epithelial cells. Journal of Dairy Science. 98(10). 6954–6964. 20 indexed citations
15.
Shi, Hengbo, Jiangjiang Zhu, Jun Luo, et al.. (2014). Genes regulating lipid and protein metabolism are highly expressed in mammary gland of lactating dairy goats. Functional & Integrative Genomics. 15(3). 309–321. 53 indexed citations
16.
Wee, Ping, et al.. (2014). EGF stimulates the activation of EGF receptors and the selective activation of major signaling pathways during mitosis. Cellular Signalling. 27(3). 638–651. 35 indexed citations
17.
Zhao, Wangsheng, Jun Luo, Dawei Yao, et al.. (2014). Peroxisome proliferator-activated receptor γ1 and γ2 isoforms alter lipogenic gene networks in goat mammary epithelial cells to different extents. Journal of Dairy Science. 97(9). 5437–5447. 34 indexed citations
18.
Shi, Huaiping & Wenye Li. (2013). Inhibitory effects of human lactoferrin on U14 cervical carcinoma through upregulation of the immune response. Oncology Letters. 7(3). 820–826. 19 indexed citations
20.
Shi, Huaiping, et al.. (2010). Dimerization drives PDGF receptor endocytosis through a C-terminal hydrophobic motif shared by EGF receptor. Experimental Cell Research. 316(14). 2237–2250. 20 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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