Xin’e Shi

1.6k total citations
62 papers, 1.2k citations indexed

About

Xin’e Shi is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Xin’e Shi has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 23 papers in Cancer Research and 19 papers in Physiology. Recurrent topics in Xin’e Shi's work include MicroRNA in disease regulation (18 papers), Adipose Tissue and Metabolism (18 papers) and Circular RNAs in diseases (13 papers). Xin’e Shi is often cited by papers focused on MicroRNA in disease regulation (18 papers), Adipose Tissue and Metabolism (18 papers) and Circular RNAs in diseases (13 papers). Xin’e Shi collaborates with scholars based in China, United States and Tunisia. Xin’e Shi's co-authors include Gongshe Yang, Xiao Li, Jiayu Zhu, Guofang Wu, Chengchuang Song, Qiangling Zhang, Hongzhao Lu, Jing Ge, Ziyi Song and Jianjun Jin and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of Agricultural and Food Chemistry.

In The Last Decade

Xin’e Shi

61 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin’e Shi China 19 783 361 281 138 100 62 1.2k
Xiaodong Zhang China 18 564 0.7× 296 0.8× 261 0.9× 99 0.7× 45 0.5× 70 1.1k
Tongxing Song China 20 683 0.9× 235 0.7× 292 1.0× 159 1.2× 50 0.5× 44 1.2k
Jinyong Wang China 26 974 1.2× 790 2.2× 194 0.7× 103 0.7× 90 0.9× 69 1.5k
Carolina de la Torre Spain 20 795 1.0× 188 0.5× 149 0.5× 104 0.8× 76 0.8× 51 1.4k
Yuanfei Zhou China 24 742 0.9× 202 0.6× 320 1.1× 179 1.3× 265 2.6× 50 1.5k
Hui Sun China 20 1.2k 1.5× 436 1.2× 297 1.1× 86 0.6× 129 1.3× 54 1.7k
Felix Kwame Amevor China 19 482 0.6× 239 0.7× 116 0.4× 81 0.6× 233 2.3× 52 1.0k
Xiaojing Yang China 17 412 0.5× 193 0.5× 281 1.0× 104 0.8× 150 1.5× 43 941

Countries citing papers authored by Xin’e Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xin’e Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin’e Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xin’e Shi. A scholar is included among the top collaborators of Xin’e 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 Xin’e Shi. Xin’e 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.
Hua, Shiyuan, Chen-chen Li, Xin’e Shi, et al.. (2025). Konjac glucomannan/alginate polysaccharide hydrogel loaded with phosphatidylcholine nanoparticles for hormone-free cultured fat production from porcine fibroblasts. Carbohydrate Polymers. 368(Pt 2). 124208–124208. 1 indexed citations
2.
Peng, Ying, et al.. (2024). miR‐429 inhibits palmitic acid‐induced apoptosis of porcine subcutaneous preadipocytes by targeting Sox5. SHILAP Revista de lepidopterología. 2(3). 250–259. 2 indexed citations
3.
Li, Chenchen, Xiaohui Sun, Gongshe Yang, et al.. (2024). Identification of different myofiber types in pigs muscles and construction of regulatory networks. BMC Genomics. 25(1). 400–400. 6 indexed citations
4.
Li, Chenchen, Lingling Wu, Yuan Guo, et al.. (2023). MicroRNA-668-3p inhibits myoblast proliferation and differentiation by targeting Appl1. BMC Genomics. 24(1). 415–415. 4 indexed citations
5.
Cai, Ruijie, et al.. (2023). CRISPR/dCas9 Tools: Epigenetic Mechanism and Application in Gene Transcriptional Regulation. International Journal of Molecular Sciences. 24(19). 14865–14865. 73 indexed citations
6.
Zheng, Hongmei, Deming Zhang, Jiahe Huang, et al.. (2022). Cordyceps militaris Modulates Intestinal Barrier Function and Gut Microbiota in a Pig Model. Frontiers in Microbiology. 13. 810230–810230. 14 indexed citations
7.
Wang, Xiaoyu, et al.. (2020). AQP3 Facilitates Proliferation and Adipogenic Differentiation of Porcine Intramuscular Adipocytes. Genes. 11(4). 453–453. 12 indexed citations
8.
Peng, Ying, Dan Wu, Jianhong Hu, et al.. (2020). Morus nigra L. leaves improve the meat quality in finishing pigs. Journal of Animal Physiology and Animal Nutrition. 104(6). 1904–1911. 10 indexed citations
9.
Wang, Shaoying, Zhaolu Wang, Xiao Li, et al.. (2020). Effect of fermented corn–soybean meal on carcass and meat quality of grower‐finisher pigs. Journal of Animal Physiology and Animal Nutrition. 105(4). 693–698. 10 indexed citations
10.
Wei, Changsheng, Yanting Xu, Lu Ma, et al.. (2019). MicroRNA-214-3p Targeting Ctnnb1 Promotes 3T3-L1 Preadipocyte Differentiation by Interfering with the Wnt/β-Catenin Signaling Pathway. International Journal of Molecular Sciences. 20(8). 1816–1816. 37 indexed citations
11.
Shi, Xin’e, Jie Wang, Baocai Xie, et al.. (2019). Allicin Improves Metabolism in High-Fat Diet-Induced Obese Mice by Modulating the Gut Microbiota. Nutrients. 11(12). 2909–2909. 78 indexed citations
12.
Peng, Ying, Dan Wu, Jianhong Hu, et al.. (2019). Dietary supplementation of Morus nigra L. leaves decrease fat mass partially through elevating leptin-stimulated lipolysis in pig model. Journal of Ethnopharmacology. 249. 112416–112416. 26 indexed citations
13.
Li, Xiao, Huifang Zhang, Guofang Wu, et al.. (2018). MicroRNA-106a-5p Inhibited C2C12 Myogenesis via Targeting PIK3R1 and Modulating the PI3K/AKT Signaling. Genes. 9(7). 333–333. 26 indexed citations
14.
Li, Xiao, Jiamin Fan, Xin’e Shi, et al.. (2017). An Additive Effect of Promoting Thermogenic Gene Expression in Mice Adipose-Derived Stromal Vascular Cells by Combination of Rosiglitazone and CL316,243. International Journal of Molecular Sciences. 18(5). 1002–1002. 13 indexed citations
15.
Ning, Xiaomin, et al.. (2016). Regulation of Adipogenesis by Quinine through the ERK/S6 Pathway. International Journal of Molecular Sciences. 17(4). 504–504. 22 indexed citations
16.
Li, Xiao, et al.. (2016). Mouse Maternal High-Fat Intake Dynamically Programmed mRNA m6A Modifications in Adipose and Skeletal Muscle Tissues in Offspring. International Journal of Molecular Sciences. 17(8). 1336–1336. 36 indexed citations
17.
Peng, Ying, Fenfen Chen, Jing Ge, et al.. (2016). miR-429 Inhibits Differentiation and Promotes Proliferation in Porcine Preadipocytes. International Journal of Molecular Sciences. 17(12). 2047–2047. 47 indexed citations
18.
Shi, Xin’e, Yuefeng Li, Long Jia, et al.. (2014). MicroRNA-199a-5p Affects Porcine Preadipocyte Proliferation and Differentiation. International Journal of Molecular Sciences. 15(5). 8526–8538. 66 indexed citations
19.
Jia, Long, Yuefeng Li, Guofang Wu, et al.. (2013). MiRNA-199a-3p Regulates C2C12 Myoblast Differentiation through IGF-1/AKT/mTOR Signal Pathway. International Journal of Molecular Sciences. 15(1). 296–308. 77 indexed citations
20.
Yang, Hao, Jia Cheng, Ziyi Song, et al.. (2013). The anti-adipogenic effect of PGRN on porcine preadipocytes involves ERK1,2 mediated PPARγ phosphorylation. Molecular Biology Reports. 40(12). 6863–6872. 11 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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