Surong Shuai

2.1k total citations
30 papers, 659 citations indexed

About

Surong Shuai is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Surong Shuai has authored 30 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Cancer Research and 10 papers in Genetics. Recurrent topics in Surong Shuai's work include MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (10 papers) and Genetic and phenotypic traits in livestock (8 papers). Surong Shuai is often cited by papers focused on MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (10 papers) and Genetic and phenotypic traits in livestock (8 papers). Surong Shuai collaborates with scholars based in China, Canada and United States. Surong Shuai's co-authors include Xuewei Li, Mingzhou Li, Li Zhu, Jinyong Wang, Shunhua Zhang, Jiuqiang Guan, Linyuan Shen, Xiang Li, Lei Chen and Lin Bai and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Frontiers in Microbiology.

In The Last Decade

Surong Shuai

29 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Surong Shuai China 17 421 369 113 88 54 30 659
Xiaoxu Shen China 18 548 1.3× 362 1.0× 79 0.7× 60 0.7× 35 0.6× 43 743
Siyuan Zhan China 17 549 1.3× 434 1.2× 151 1.3× 136 1.5× 41 0.8× 80 848
Hanfang Cai China 16 587 1.4× 448 1.2× 311 2.8× 89 1.0× 32 0.6× 56 852
Yinghui Ling China 19 466 1.1× 364 1.0× 267 2.4× 40 0.5× 37 0.7× 64 904
Bahareldin Ali Abdalla China 17 791 1.9× 665 1.8× 132 1.2× 83 0.9× 46 0.9× 34 1.0k
Hongjia Ouyang China 14 595 1.4× 491 1.3× 150 1.3× 33 0.4× 26 0.5× 45 851
Yiren Gu China 11 514 1.2× 443 1.2× 158 1.4× 48 0.5× 25 0.5× 40 791
Xinzheng Jia China 16 484 1.1× 295 0.8× 223 2.0× 43 0.5× 45 0.8× 29 767
Yanyu He China 12 209 0.5× 162 0.4× 69 0.6× 58 0.7× 52 1.0× 41 451

Countries citing papers authored by Surong Shuai

Since Specialization
Citations

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

Fields of papers citing papers by Surong Shuai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Surong Shuai

This figure shows the co-authorship network connecting the top 25 collaborators of Surong Shuai. A scholar is included among the top collaborators of Surong Shuai 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 Surong Shuai. Surong Shuai 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, X., Yujie Wang, Tao Wang, et al.. (2022). Gene expression profiles of specific chicken skeletal muscles. Scientific Data. 9(1). 552–552. 7 indexed citations
2.
Zhang, Jinwei, Jideng Ma, Silu Hu, et al.. (2020). Comprehensive Analysis of mRNA and lncRNA Transcriptomes Reveals the Differentially Hypoxic Response of Preadipocytes During Adipogenesis. Frontiers in Genetics. 11. 845–845. 4 indexed citations
3.
Shen, Linyuan, Mailin Gan, Qianzi Tang, et al.. (2019). Comprehensive Analysis of lncRNAs and circRNAs Reveals the Metabolic Specialization in Oxidative and Glycolytic Skeletal Muscles. International Journal of Molecular Sciences. 20(12). 2855–2855. 27 indexed citations
4.
Liu, Haifeng, Huan Li, Long Jin, et al.. (2018). Long Noncoding RNA GAS5 Suppresses 3T3-L1 Cells Adipogenesis Through miR-21a-5p/PTEN Signal Pathway. DNA and Cell Biology. 37(9). 767–777. 31 indexed citations
5.
Chai, Jie, Lei Chen, Zonggang Luo, et al.. (2018). Spontaneous single nucleotide polymorphism in porcine microRNA-378 seed region leads to functional alteration. Bioscience Biotechnology and Biochemistry. 82(7). 1081–1089. 6 indexed citations
6.
Shen, Linyuan, Qiang Li, Jinyong Wang, et al.. (2018). miR-144-3p Promotes Adipogenesis Through Releasing C/EBPα From Klf3 and CtBP2. Frontiers in Genetics. 9. 677–677. 44 indexed citations
7.
Zhang, Peiwen, Jingjing Du, Linghui Wang, et al.. (2018). MicroRNA-143a-3p modulates preadipocyte proliferation and differentiation by targeting MAPK7. Biomedicine & Pharmacotherapy. 108. 531–539. 35 indexed citations
8.
Zeng, Bo, Jiangchao Zhao, Wei Guo, et al.. (2017). High-Altitude Living Shapes the Skin Microbiome in Humans and Pigs. Frontiers in Microbiology. 8. 1929–1929. 33 indexed citations
9.
Wu, Xiaoqian, Zhendong Tan, Linyuan Shen, et al.. (2016). Coat colour phenotype of Qingyu pig is associated with polymorphisms of melanocortin receptor 1 gene. Asian-Australasian Journal of Animal Sciences. 30(7). 938–943. 5 indexed citations
10.
Du, Jingjing, Yi Zhang, Linyuan Shen, et al.. (2016). Effect of miR-143-3p on C2C12 myoblast differentiation. Bioscience Biotechnology and Biochemistry. 80(4). 706–711. 17 indexed citations
11.
Du, Jingjing, Qiang Li, Linyuan Shen, et al.. (2016). miR-145a-5p Promotes Myoblast Differentiation. BioMed Research International. 2016. 1–10. 19 indexed citations
12.
Wei, Yingying, Xuelian Tao, Huaming Xu, et al.. (2016). Role of miR-181a-5p and endoplasmic reticulum stress in the regulation of myogenic differentiation. Gene. 592(1). 60–70. 17 indexed citations
13.
Zhang, Jie, Chaowei Zhou, Jideng Ma, et al.. (2013). Breed, sex and anatomical location-specific gene expression profiling of the porcine skeletal muscles. BMC Genetics. 14(1). 53–53. 7 indexed citations
14.
Jin, Long, Mingwang Zhang, Jideng Ma, et al.. (2012). Mitochondrial DNA Evidence Indicates the Local Origin of Domestic Pigs in the Upstream Region of the Yangtze River. PLoS ONE. 7(12). e51649–e51649. 18 indexed citations
15.
Wang, Tao, Mingzhou Li, Jiuqiang Guan, et al.. (2011). MicroRNAs miR-27a and miR-143 Regulate Porcine Adipocyte Lipid Metabolism. International Journal of Molecular Sciences. 12(11). 7950–7959. 67 indexed citations
16.
Zhu, Li, Xuewei Li, Surong Shuai, et al.. (2010). The phylogeny analysis of MyoG gene in different pig breeds. Interdisciplinary Sciences Computational Life Sciences. 2(2). 175–179. 5 indexed citations
17.
Zhu, Li, Mingzhou Li, Xuewei Li, et al.. (2009). Distinct Expression Patterns of Genes Associated with Muscle Growth and Adipose Deposition in Tibetan Pigs: A Possible Adaptive Mechanism for High Altitude Conditions. High Altitude Medicine & Biology. 10(1). 45–55. 16 indexed citations
18.
Li, Mingzhou, Xuewei Li, Li Zhu, et al.. (2008). Differential expression analysis and regulatory network reconstruction for genes associated with muscle growth and adipose deposition in obese and lean pigs. Progress in Natural Science Materials International. 18(4). 387–399. 13 indexed citations
19.
Li, Mingzhou, Li Zhu, Xuewei Li, et al.. (2008). Expression profiling analysis for genes related to meat quality and carcass traits during postnatal development of backfat in two pig breeds. Science in China Series C Life Sciences. 51(8). 718–733. 22 indexed citations
20.
Hou, Wanru, Yu Chen, Xia Wu, et al.. (2007). A complete mitochondrial genome sequence of Asian black bear Sichuan subspecies (Ursus thibetanus mupinensis). International Journal of Biological Sciences. 3(2). 85–90. 30 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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