Shufeng Li

1.0k total citations
49 papers, 716 citations indexed

About

Shufeng Li is a scholar working on Molecular Biology, Immunology and Allergy and Surgery. According to data from OpenAlex, Shufeng Li has authored 49 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 8 papers in Immunology and Allergy and 6 papers in Surgery. Recurrent topics in Shufeng Li's work include Muscle Physiology and Disorders (19 papers), Cell Adhesion Molecules Research (8 papers) and RNA Interference and Gene Delivery (5 papers). Shufeng Li is often cited by papers focused on Muscle Physiology and Disorders (19 papers), Cell Adhesion Molecules Research (8 papers) and RNA Interference and Gene Delivery (5 papers). Shufeng Li collaborates with scholars based in China, Japan and Macao. Shufeng Li's co-authors include Yunqin Yan, Huili Tong, Zichun Hua, Dan Liu, Guang‐Hui Jin, Xiaofeng Huang, Wenhui Jiang, Hang Zhang, Xiaoxuan Lu and Haiwei Xu and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Journal of Agricultural and Food Chemistry.

In The Last Decade

Shufeng Li

47 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shufeng Li China 17 438 165 114 111 100 49 716
Jason G. Fewell United States 18 704 1.6× 200 1.2× 126 1.1× 92 0.8× 94 0.9× 30 1.1k
Erin E Vaughan United States 12 407 0.9× 136 0.8× 81 0.7× 56 0.5× 40 0.4× 18 731
Marcio C. Bajgelman Brazil 18 407 0.9× 123 0.7× 63 0.6× 44 0.4× 108 1.1× 45 735
Daisuke Yamashita Japan 17 297 0.7× 81 0.5× 110 1.0× 26 0.2× 148 1.5× 44 886
T Kishida Japan 10 357 0.8× 187 1.1× 41 0.4× 72 0.6× 94 0.9× 14 716
Isabelle Barbosa France 16 731 1.7× 65 0.4× 44 0.4× 31 0.3× 90 0.9× 27 1.1k
Shan Cheng China 14 319 0.7× 78 0.5× 65 0.6× 40 0.4× 150 1.5× 33 513
Qingguo Zhao China 21 774 1.8× 83 0.5× 85 0.7× 23 0.2× 163 1.6× 38 1.4k
Yohei Sato Japan 14 442 1.0× 99 0.6× 39 0.3× 36 0.3× 221 2.2× 46 852
Aida Rodríguez Spain 20 546 1.2× 211 1.3× 55 0.5× 19 0.2× 92 0.9× 46 1.1k

Countries citing papers authored by Shufeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Shufeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shufeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shufeng Li. A scholar is included among the top collaborators of Shufeng Li 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 Shufeng Li. Shufeng Li 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.
Liu, Yongze, Lu Zhang, Xiaoyu Zhang, et al.. (2025). The mechanism of EGF in promoting skeletal muscle post-injury regeneration. Differentiation. 143. 100862–100862. 3 indexed citations
2.
Zhang, Lu, et al.. (2024). PEAR1 Promotes Myoblast Proliferation Through Notch Signaling Pathway. Biology. 13(12). 1063–1063.
3.
Zhao, Jingwen, et al.. (2024). Podocan promoting skeletal muscle post‐injury regeneration by inhibiting TGF ‐β signaling pathway. The FASEB Journal. 38(5). e23502–e23502. 3 indexed citations
4.
5.
Zhang, Pengfei, Shuai Zhang, Wei Zhao, et al.. (2024). GDF11 protects against mitochondrial-dysfunction-dependent NLRP3 inflammasome activation to attenuate osteoarthritis. Journal of Advanced Research. 73. 501–515. 5 indexed citations
6.
Wang, Zhiqi, Yusheng Pang, Huili Tong, et al.. (2020). Fibronectin type III domain-containing 4 promotes the migration and differentiation of bovine skeletal muscle-derived satellite cells via focal adhesion kinase. Cell Adhesion & Migration. 14(1). 153–164. 12 indexed citations
7.
Zhang, Chunyu, Yuhan Zhang, Wenyu Zhang, et al.. (2020). WISP1 promotes bovine MDSC differentiation via recruitment of ANXA1 for the regulation of the TGF-β signalling pathway. Molecular and Cellular Biochemistry. 470(1-2). 215–227. 6 indexed citations
8.
Li, Shuang, Zhiqi Wang, Huili Tong, Shufeng Li, & Yunqin Yan. (2020). TCP11L2 promotes bovine skeletal muscle‐derived satellite cell migration and differentiation via FMNL2. Journal of Cellular Physiology. 235(10). 7183–7193. 3 indexed citations
9.
Li, Shuang, Dan Liu, Yuying Fu, et al.. (2019). Podocan Promotes Differentiation of Bovine Skeletal Muscle Satellite Cells by Regulating the Wnt4-β-Catenin Signaling Pathway. Frontiers in Physiology. 10. 1010–1010. 16 indexed citations
10.
Liu, Dan, et al.. (2019). Podocan affects C2C12 myogenic differentiation by enhancing Wnt/β‐catenin signaling. Journal of Cellular Physiology. 234(7). 11130–11139. 17 indexed citations
11.
Li, Shuang, Yuying Fu, Yusheng Pang, et al.. (2019). GRP94 promotes muscle differentiation by inhibiting the PI3K/AKT/mTOR signaling pathway. Journal of Cellular Physiology. 234(11). 21211–21223. 23 indexed citations
12.
Liu, Dan, et al.. (2018). Fatty acids promote bovine skeletal muscle satellite cell differentiation by regulating ELOVL3 expression. Cell and Tissue Research. 373(2). 499–508. 23 indexed citations
13.
Li, Shuang, et al.. (2018). MiR‐139 promotes differentiation of bovine skeletal muscle‐derived satellite cells by regulating DHFR gene expression. Journal of Cellular Physiology. 234(1). 632–641. 9 indexed citations
14.
Tong, Huili, et al.. (2018). bta-miR-378 promote the differentiation of bovine skeletal muscle-derived satellite cells. Gene. 668. 246–251. 15 indexed citations
15.
Zhang, Weiwei, Huili Tong, Ziheng Zhang, et al.. (2017). Transcription factor EGR1 promotes differentiation of bovine skeletal muscle satellite cells by regulating MyoG gene expression. Journal of Cellular Physiology. 233(1). 350–362. 50 indexed citations
16.
Li, Shufeng, Xiaofeng Huang, Dapeng Zhang, et al.. (2013). Requirement of PEA3 for Transcriptional Activation of FAK Gene in Tumor Metastasis. PLoS ONE. 8(11). e79336–e79336. 17 indexed citations
17.
Li, Shufeng, Jiahuang Li, Xin Tong, et al.. (2008). Non-Syndromic Tooth Agenesis in Two Chinese Families Associated with Novel Missense Mutations in the TNF Domain of EDA (Ectodysplasin A). PLoS ONE. 3(6). e2396–e2396. 33 indexed citations
18.
19.
Li, Shufeng, Wei Dong, Yiwei Zong, et al.. (2007). Polyethylenimine-complexed Plasmid Particles Targeting Focal Adhesion Kinase Function as Melanoma Tumor Therapeutics. Molecular Therapy. 15(3). 515–523. 39 indexed citations
20.
Wang, Jing, Xiaoxuan Lu, Daozhen Chen, Shufeng Li, & Lishan Zhang. (2004). Herpes simplex virus thymidine kinase and ganciclovir suicide gene therapy for human pancreatic cancer. World Journal of Gastroenterology. 10(3). 400–400. 56 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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