Yafeng Song

448 total citations
21 papers, 267 citations indexed

About

Yafeng Song is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Yafeng Song has authored 21 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Surgery. Recurrent topics in Yafeng Song's work include Muscle Physiology and Disorders (7 papers), Exercise and Physiological Responses (3 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Yafeng Song is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Exercise and Physiological Responses (3 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Yafeng Song collaborates with scholars based in China, United States and Sweden. Yafeng Song's co-authors include Zhi‐Jun Pei, Fuyan Li, Hong Zhou, Yi Yang, Yijia Chen, Jing Zeng, Wei Li, Lin Fan, Yan Gao and Yan Gao and has published in prestigious journals such as Scientific Reports, Journal of Applied Physiology and eLife.

In The Last Decade

Yafeng Song

17 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yafeng Song China 7 172 128 33 23 21 21 267
Jingjing Sun United States 11 305 1.8× 53 0.4× 38 1.2× 20 0.9× 2 0.1× 20 424
Shufang Cui China 8 206 1.2× 160 1.3× 11 0.3× 11 0.5× 5 0.2× 9 279
Shuhong Liu China 9 170 1.0× 130 1.0× 14 0.4× 30 1.3× 6 0.3× 25 326
Tanvi Sinha United States 11 361 2.1× 61 0.5× 60 1.8× 20 0.9× 2 0.1× 16 410
Martina Regensburger Germany 7 179 1.0× 34 0.3× 17 0.5× 12 0.5× 7 0.3× 10 322
A Baxová Czechia 10 243 1.4× 24 0.2× 39 1.2× 13 0.6× 3 0.1× 40 416
Julia Peloggia United States 5 177 1.0× 51 0.4× 24 0.7× 8 0.3× 4 0.2× 8 305
Keiko Yokoyama Japan 9 101 0.6× 66 0.5× 77 2.3× 16 0.7× 16 0.8× 13 327

Countries citing papers authored by Yafeng Song

Since Specialization
Citations

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

Fields of papers citing papers by Yafeng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yafeng Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yafeng Song. A scholar is included among the top collaborators of Yafeng Song 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 Yafeng Song. Yafeng Song 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.
Song, Yafeng, et al.. (2025). Can Infrared Thermal Imaging Reflect Exercise Load? An Incremental Cycling Exercise Study. Bioengineering. 12(3). 280–280. 1 indexed citations
2.
Wang, Tianyuan, Zilian Zhang, Na Li, et al.. (2025). Systemic MyoAAV-saRNA delivery activates endogenous utrophin and rescues dystrophic pathology in mdx mice. Regenerative Therapy. 30. 1046–1051.
3.
Song, Yafeng, et al.. (2025). Fatty acid metabolism-related signature suggests an oncogenic role of TEKT1 in endometrial cancer. Taiwanese Journal of Obstetrics and Gynecology. 64(1). 92–104.
4.
Wang, Hongsheng, et al.. (2024). Proteomic Profiling of Muscular Adaptations to Short-Term Concentric Versus Eccentric Exercise Training in Humans. Molecular & Cellular Proteomics. 23(4). 100748–100748. 7 indexed citations
5.
Hao, Ming, et al.. (2024). Effects of water extract of the spleen-brain-related mineral drug Shehanshi on mouse sleep. Chinese Journal of Analytical Chemistry. 52(8). 100417–100417.
6.
Li, Na, et al.. (2024). Identification of hub genes and therapeutic siRNAs to develop novel adjunctive therapy for Duchenne muscular dystrophy. BMC Musculoskeletal Disorders. 25(1). 386–386. 2 indexed citations
7.
Song, Yafeng. (2023). "A Brief Review of the Development of Telerehabilitation and its Application in Patients of Adolescent Idiopathic Scoliosis". Biomedical Journal of Scientific & Technical Research. 48(2). 1 indexed citations
8.
Song, Yafeng, et al.. (2022). Promising therapeutic approaches of utrophin replacing dystrophin in the treatment of Duchenne muscular dystrophy. Fundamental Research. 2(6). 885–893. 5 indexed citations
9.
10.
Hu, Rui, et al.. (2021). Clinical Outcomes of Tanezumab With Different Dosages for Patient With Osteoarthritis: Network Meta-Analysis. Frontiers in Pharmacology. 12. 614753–614753. 3 indexed citations
11.
Li, Xuefeng, et al.. (2021). Association between PPAR-γ2 gene polymorphisms and diabetic retinopathy risk: a meta-analysis. Aging. 13(4). 5136–5149. 1 indexed citations
12.
Shao, Meng, Zhenqiang He, Zhixin Yin, et al.. (2018). Xihuang Pill Induces Apoptosis of Human Glioblastoma U‐87 MG Cells via Targeting ROS‐Mediated Akt/mTOR/FOXO1 Pathway. Evidence-based Complementary and Alternative Medicine. 2018(1). 6049498–6049498. 22 indexed citations
13.
Mead, Andrew F., Nerea Osinalde, Niels Ørtenblad, et al.. (2017). Fundamental constraints in synchronous muscle limit superfast motor control in vertebrates. eLife. 6. 38 indexed citations
14.
Zeng, Jing, Yafeng Song, Yan Gao, et al.. (2017). Knockdown of Long Noncoding RNA CCAT2 Inhibits Cellular Proliferation, Invasion, and Epithelial‐Mesenchymal Transition in Glioma Cells. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 25(6). 913–921. 47 indexed citations
15.
Pei, Zhi‐Jun, Yafeng Song, Yan Gao, et al.. (2017). In vivo imaging to monitor differentiation and therapeutic effects of transplanted mesenchymal stem cells in myocardial infarction. Scientific Reports. 7(1). 6296–6296. 25 indexed citations
16.
Shi, Dandan, et al.. (2017). Calcium/Calmodulin-Dependent Protein Kinase IV (CaMKIV) Mediates Acute Skeletal Muscle Inflammatory Response. Inflammation. 41(1). 199–212. 17 indexed citations
17.
Stål, Per, et al.. (2017). Bilateral muscle fiber and nerve influences by TNF-alpha in response to unilateral muscle overuse – studies on TNF receptor expressions. BMC Musculoskeletal Disorders. 18(1). 498–498. 6 indexed citations
18.
Pei, Zhi‐Jun, Yafeng Song, Lin Fan, et al.. (2017). Down-regulation of lncRNA CASC2 promotes cell proliferation and metastasis of bladder cancer by activation of the Wnt/β-catenin signaling pathway. Oncotarget. 8(11). 18145–18153. 85 indexed citations
19.
Song, Yafeng, et al.. (2016). Suite of clinically relevant functional assays to address therapeutic efficacy and disease mechanism in the dystrophic mdx mouse. Journal of Applied Physiology. 122(3). 593–602. 2 indexed citations
20.
Song, Yafeng, et al.. (2013). TNF-alpha in an Overuse Muscle Model-Relationship to Muscle Fiber Necrosis/Regeneration, the NK-1 Receptor and an Occurrence of Bilateral Involvement. Journal of Clinical & Cellular Immunology. 4(2). 3 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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