Chaoyun Yang

419 total citations
32 papers, 250 citations indexed

About

Chaoyun Yang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Chaoyun Yang has authored 32 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Genetics and 9 papers in Cancer Research. Recurrent topics in Chaoyun Yang's work include Genetic and phenotypic traits in livestock (11 papers), Cancer-related molecular mechanisms research (8 papers) and Ruminant Nutrition and Digestive Physiology (5 papers). Chaoyun Yang is often cited by papers focused on Genetic and phenotypic traits in livestock (11 papers), Cancer-related molecular mechanisms research (8 papers) and Ruminant Nutrition and Digestive Physiology (5 papers). Chaoyun Yang collaborates with scholars based in China and United States. Chaoyun Yang's co-authors include Xiaolong Kang, Xiaofang Feng, Juan Zhang, Cuili Pan, Shuzhe Wang, Yun Ma, Yun Zhu, Honghong Hu, Chenglong Li and Dawei Wei and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Chaoyun Yang

28 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoyun Yang China 10 121 79 71 67 34 32 250
Junting Cao China 11 112 0.9× 50 0.6× 68 1.0× 94 1.4× 14 0.4× 22 269
Qizhi Song China 11 95 0.8× 55 0.7× 132 1.9× 106 1.6× 44 1.3× 22 283
Tong Mu China 10 131 1.1× 77 1.0× 92 1.3× 56 0.8× 75 2.2× 26 281
Junjing Wu China 11 114 0.9× 85 1.1× 91 1.3× 96 1.4× 11 0.3× 26 291
Bingang Shi China 10 159 1.3× 92 1.2× 103 1.5× 64 1.0× 78 2.3× 49 321
Shuisheng Hou China 12 129 1.1× 55 0.7× 206 2.9× 124 1.9× 22 0.6× 30 347
Jiguo Xu China 10 117 1.0× 50 0.6× 109 1.5× 113 1.7× 18 0.5× 27 285
Rayner González-Prendes Spain 13 126 1.0× 103 1.3× 200 2.8× 79 1.2× 29 0.9× 24 350
Xiaobin Yang China 9 107 0.9× 55 0.7× 67 0.9× 26 0.4× 22 0.6× 31 244
Honghong Hu China 11 107 0.9× 83 1.1× 125 1.8× 55 0.8× 87 2.6× 23 279

Countries citing papers authored by Chaoyun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoyun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoyun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoyun Yang. A scholar is included among the top collaborators of Chaoyun 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 Chaoyun Yang. Chaoyun 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
1.
Yang, Chaoyun, et al.. (2025). Enhancing growth performance in Liangshan black sheep through fermented onion: insights from transcriptomics and metabolomics. Frontiers in Veterinary Science. 12. 1533728–1533728.
2.
Qi, Yunxia, Xiaolong He, Chaoyun Yang, et al.. (2024). Selection signature analysis reveals genes associated with tail phenotype in sheep. Frontiers in Genetics. 15. 1509177–1509177.
3.
Wang, Jing, et al.. (2024). Functional prediction of AMP deaminase 1 in Jingyuan chicken and evaluation of the biological activities of its expression vectors. International Journal of Biological Macromolecules. 271(Pt 1). 132546–132546.
4.
Zhou, Xiaonan, et al.. (2024). FHL3 gene regulates bovine skeletal muscle cell growth through the PI3K/Akt/mTOR signaling pathway. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 52. 101356–101356. 6 indexed citations
5.
Wang, Pengfei, Chenglong Li, Yanfeng Zhang, et al.. (2023). Sodium Butyrate Induces Mitophagy and Apoptosis of Bovine Skeletal Muscle Satellite Cells through the Mammalian Target of Rapamycin Signaling Pathway. International Journal of Molecular Sciences. 24(17). 13474–13474. 10 indexed citations
6.
Yang, Chaoyun, et al.. (2023). Multi-transcriptomics reveals RLMF axis-mediated signaling molecules associated with bovine feed efficiency. Frontiers in Veterinary Science. 10. 1090517–1090517. 8 indexed citations
7.
Zhang, Juan, Jing Wang, Jinzeng Yang, et al.. (2023). Integrating proteomics and metabolomics to elucidate the molecular network regulating of inosine monophosphate-specific deposition in Jingyuan chicken. Poultry Science. 102(12). 103118–103118. 9 indexed citations
8.
9.
Pan, Cuili, Chaoyun Yang, Yanfen Ma, et al.. (2022). Identification of Key Genes Associated With Early Calf-Hood Nutrition in Subcutaneous and Visceral Adipose Tissues by Co-Expression Analysis. Frontiers in Veterinary Science. 9. 831129–831129. 2 indexed citations
10.
11.
Pan, Cuili, Shuzhe Wang, Chaoyun Yang, et al.. (2022). Genome-wide identification and expression profiling analysis of Wnt family genes affecting adipocyte differentiation in cattle. Scientific Reports. 12(1). 489–489. 11 indexed citations
12.
Mu, Tong, Honghong Hu, Yanfen Ma, et al.. (2022). Identifying key genes in milk fat metabolism by weighted gene co-expression network analysis. Scientific Reports. 12(1). 6836–6836. 10 indexed citations
13.
Sheng, Hui, Cuili Pan, Shuzhe Wang, et al.. (2022). Weighted Gene Co-Expression Network Analysis Identifies Key Modules and Central Genes Associated With Bovine Subcutaneous Adipose Tissue. Frontiers in Veterinary Science. 9. 914848–914848. 7 indexed citations
14.
Pan, Cuili, Chaoyun Yang, Shuzhe Wang, & Yun Ma. (2022). Identifying Key Genes and Functionally Enriched Pathways of Diverse Adipose Tissue Types in Cattle. Frontiers in Genetics. 13. 790690–790690. 7 indexed citations
15.
Zhang, Juan, et al.. (2022). Analysis of the molecular mechanism of inosine monophosphate deposition in Jingyuan chicken muscles using a proteomic approach. Poultry Science. 101(4). 101741–101741. 16 indexed citations
16.
Wang, Shuzhe, Chaoyun Yang, Cuili Pan, et al.. (2022). Identification of key genes and functional enrichment pathways involved in fat deposition in Xinyang buffalo by WGCNA. Gene. 818. 146225–146225. 7 indexed citations
17.
Yang, Chaoyun, et al.. (2021). Prediction of Steady-State Indices of Voltage Quality Based on Correlation Analysis and Long Short-Term Memory Network. Electric Power Construction. 42(4). 9. 1 indexed citations
18.
Wang, Shuzhe, Cuili Pan, Xiaojie Ma, et al.. (2021). Identification and Functional Verification Reveals that miR-195 Inhibiting THRSP to Affect Fat Deposition in Xinyang Buffalo. Frontiers in Genetics. 12. 736441–736441. 7 indexed citations
19.
Yang, Chaoyun, et al.. (2021). Identifying the key genes and functional enrichment pathways associated with feed efficiency in cattle. Gene. 807. 145934–145934. 14 indexed citations
20.
Yang, Chaoyun, et al.. (2021). Characterization and Duodenal Transcriptome Analysis of Chinese Beef Cattle With Divergent Feed Efficiency Using RNA-Seq. Frontiers in Genetics. 12. 741878–741878. 16 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Junting Cao Breakdown of academic impact, for papers by Qizhi Song Breakdown of academic impact, for papers by Tong Mu Breakdown of academic impact, for papers by Junjing Wu Breakdown of academic impact, for papers by Bingang Shi Breakdown of academic impact, for papers by Shuisheng Hou Breakdown of academic impact, for papers by Jiguo Xu Breakdown of academic impact, for papers by Rayner González-Prendes Breakdown of academic impact, for papers by Xiaobin Yang Breakdown of academic impact, for papers by Honghong Hu
Rankless by CCL
2026