Chaofei Yang

1.3k total citations
23 papers, 889 citations indexed

About

Chaofei Yang is a scholar working on Molecular Biology, Cancer Research and Rheumatology. According to data from OpenAlex, Chaofei Yang has authored 23 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Cancer Research and 4 papers in Rheumatology. Recurrent topics in Chaofei Yang's work include Bone Metabolism and Diseases (9 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (5 papers). Chaofei Yang is often cited by papers focused on Bone Metabolism and Diseases (9 papers), MicroRNA in disease regulation (6 papers) and Cancer-related molecular mechanisms research (5 papers). Chaofei Yang collaborates with scholars based in China, Hong Kong and Australia. Chaofei Yang's co-authors include Airong Qian, Ye Tian, Peihong Su, Fan Zhao, Chong Yin, Xiaoli Ma, Yu Li, Jiawei Pei, Zhihao Chen and Xue Wang and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Molecular Sciences and Journal of Cellular Physiology.

In The Last Decade

Chaofei Yang

21 papers receiving 883 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaofei Yang China 15 551 339 124 100 97 23 889
Peihong Su China 17 609 1.1× 298 0.9× 136 1.1× 133 1.3× 95 1.0× 28 991
Guoli Hu China 15 560 1.0× 286 0.8× 83 0.7× 131 1.3× 58 0.6× 28 924
Satoko Sunamura Japan 9 589 1.1× 388 1.1× 37 0.3× 145 1.4× 70 0.7× 11 858
Peng Deng United States 17 823 1.5× 311 0.9× 47 0.4× 193 1.9× 109 1.1× 20 1.2k
Jin Fan China 18 712 1.3× 302 0.9× 70 0.6× 89 0.9× 30 0.3× 30 1.2k
Pengyu Tang China 17 889 1.6× 304 0.9× 104 0.8× 66 0.7× 38 0.4× 33 1.4k
Su’an Tang China 18 575 1.0× 393 1.2× 82 0.7× 121 1.2× 55 0.6× 36 1.1k
Ji Zhu China 16 455 0.8× 281 0.8× 86 0.7× 170 1.7× 31 0.3× 49 971
Yanping Yang China 15 395 0.7× 204 0.6× 51 0.4× 141 1.4× 37 0.4× 50 650

Countries citing papers authored by Chaofei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chaofei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaofei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chaofei Yang. A scholar is included among the top collaborators of Chaofei Yang 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 Chaofei Yang. Chaofei Yang 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
2.
Yang, Chaofei, Ying Huai, Xingcong Ma, et al.. (2025). Bio-engineered microRNA-7 effectively interferes with the Akt3/p53 axis to suppress human non-small cell lung cancer. Cancer Cell International. 25(1). 250–250.
3.
Xiao, Lin, Shaoqing Yang, Zhihao Chen, et al.. (2023). MACF1 deficiency suppresses tooth mineralization through IGF1 mediated crosstalk between odontoblasts and ameloblasts. Genes & Diseases. 11(5). 101103–101103. 1 indexed citations
4.
He, Chenyang, et al.. (2022). Transfer RNAs-derived small RNAs and their application potential in multiple diseases. Frontiers in Cell and Developmental Biology. 10. 954431–954431. 36 indexed citations
5.
Li, Dijie, Jin Liu, Chaofei Yang, et al.. (2021). Targeting long noncoding RNA PMIF facilitates osteoprogenitor cells migrating to bone formation surface to promote bone formation during aging. Theranostics. 11(11). 5585–5604. 16 indexed citations
6.
Su, Peihong, Ye Tian, Chong Yin, et al.. (2021). MACF1 promotes osteoblastic cell migration by regulating MAP1B through the GSK3beta/TCF7 pathway. Bone. 154. 116238–116238. 7 indexed citations
7.
Chen, Zhihao, Yan Zhang, Fan Zhao, et al.. (2021). miR-138–5p negatively regulates osteoblast differentiation through inhibiting β-catenin under simulated microgravity in MC3T3-E1 cells. Acta Astronautica. 182. 240–250. 9 indexed citations
8.
Yang, Chaofei, et al.. (2020). Investigation of interaction between <i>α</i>-Fe metal and H atom by ab-initio method. Acta Physica Sinica. 69(5). 53101–53101. 3 indexed citations
9.
Yang, Chaofei, Ye Tian, Fan Zhao, et al.. (2020). Bone Microenvironment and Osteosarcoma Metastasis. International Journal of Molecular Sciences. 21(19). 6985–6985. 213 indexed citations
10.
Chen, Zhihao, Fan Zhao, Chao Liang, et al.. (2020). Silencing of miR-138-5p sensitizes bone anabolic action to mechanical stimuli. Theranostics. 10(26). 12263–12278. 37 indexed citations
11.
Yin, Chong, Ye Tian, Yang Yu, et al.. (2020). miR-129-5p Inhibits Bone Formation Through TCF4. Frontiers in Cell and Developmental Biology. 8. 600641–600641. 26 indexed citations
12.
Zhao, Fan, Xiaoli Ma, Pai Wang, et al.. (2020). Mesenchymal MACF1 Facilitates SMAD7 Nuclear Translocation to Drive Bone Formation. Cells. 9(3). 616–616. 24 indexed citations
13.
Ma, Jianhua, Xiao Lin, Chen Chu, et al.. (2019). Circulating miR-181c-5p and miR-497-5p Are Potential Biomarkers for Prognosis and Diagnosis of Osteoporosis. The Journal of Clinical Endocrinology & Metabolism. 105(5). 1445–1460. 61 indexed citations
14.
Yang, Chaofei, et al.. (2019). [Molecular cloning and expression analysis of iridoid synthase genes from Rehmannia glutinosa].. PubMed. 44(12). 2472–2479. 1 indexed citations
15.
Li, Dijie, Ye Tian, Chong Yin, et al.. (2019). Silencing of lncRNA AK045490 Promotes Osteoblast Differentiation and Bone Formation via β-Catenin/TCF1/Runx2 Signaling Axis. International Journal of Molecular Sciences. 20(24). 6229–6229. 48 indexed citations
16.
Li, Dijie, Chaofei Yang, Chong Yin, et al.. (2019). LncRNA, Important Player in Bone Development and Disease. Endocrine Metabolic & Immune Disorders - Drug Targets. 20(1). 50–66. 31 indexed citations
17.
Yin, Chong, Ye Tian, Yang Yu, et al.. (2019). A novel long noncoding RNA AK016739 inhibits osteoblast differentiation and bone formation. Journal of Cellular Physiology. 234(7). 11524–11536. 30 indexed citations
18.
Zhang, Yan, Chong Yin, Lifang Hu, et al.. (2018). MACF1 Overexpression by Transfecting the 21 kbp Large Plasmid PEGFP-C1A-ACF7 Promotes Osteoblast Differentiation and Bone Formation. Human Gene Therapy. 29(2). 259–270. 22 indexed citations
19.
Li, Yajing, Zhongyi Zhang, Chaofei Yang, et al.. (2018). Molecular Regulation of Catalpol and Acteoside Accumulation in Radial Striation and non-Radial Striation of Rehmannia glutinosa Tuberous Root. International Journal of Molecular Sciences. 19(12). 3751–3751. 26 indexed citations
20.
Tian, Ye, Xiaoli Ma, Chaofei Yang, et al.. (2017). The Impact of Oxidative Stress on the Bone System in Response to the Space Special Environment. International Journal of Molecular Sciences. 18(10). 2132–2132. 59 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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