Yalan Yang

2.3k total citations
81 papers, 1.6k citations indexed

About

Yalan Yang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Yalan Yang has authored 81 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 34 papers in Cancer Research and 14 papers in Genetics. Recurrent topics in Yalan Yang's work include Cancer-related molecular mechanisms research (28 papers), RNA Research and Splicing (21 papers) and RNA modifications and cancer (20 papers). Yalan Yang is often cited by papers focused on Cancer-related molecular mechanisms research (28 papers), RNA Research and Splicing (21 papers) and RNA modifications and cancer (20 papers). Yalan Yang collaborates with scholars based in China, United States and Taiwan. Yalan Yang's co-authors include Zhonglin Tang, Kui Li, Guanglin Niu, Zishuai Wang, Lili Xiong, Ruofan Ding, Zhiyun Guo, Xinhao Fan, Guoming Liang and Rong Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Neuroscience.

In The Last Decade

Yalan Yang

72 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yalan Yang 1.2k 752 208 189 97 81 1.6k
Qianzi Tang 1.4k 1.2× 791 1.1× 466 2.2× 138 0.7× 111 1.1× 75 2.0k
Xuefeng Wei 668 0.6× 405 0.5× 131 0.6× 259 1.4× 59 0.6× 56 1.1k
Keren Long 718 0.6× 468 0.6× 198 1.0× 62 0.3× 62 0.6× 66 1.0k
Jibin Zhang 673 0.6× 244 0.3× 262 1.3× 329 1.7× 74 0.8× 79 1.5k
Xiaomin Yu 1.0k 0.9× 680 0.9× 154 0.7× 338 1.8× 58 0.6× 52 1.8k
Qingyong Meng 702 0.6× 274 0.4× 136 0.7× 176 0.9× 107 1.1× 115 1.5k
Anan Jiang 809 0.7× 691 0.9× 486 2.3× 64 0.3× 190 2.0× 79 1.5k
Jiazhong Guo 623 0.5× 558 0.7× 461 2.2× 54 0.3× 162 1.7× 92 1.3k
Shunshun Han 567 0.5× 327 0.4× 91 0.4× 100 0.5× 64 0.7× 50 858

Countries citing papers authored by Yalan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yalan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yalan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yalan Yang. A scholar is included among the top collaborators of Yalan 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 Yalan Yang. Yalan 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.
Yao, Yilong, et al.. (2025). WNT5B regulates myogenesis and fiber type conversion by affecting mRNA stability. International Journal of Biological Sciences. 21(9). 3934–3948. 1 indexed citations
2.
Fan, Xinhao, et al.. (2025). PIGOME: An Integrated and Comprehensive Multi-omics Database for Pig Functional Genomics Studies. Genomics Proteomics & Bioinformatics. 23(1). 2 indexed citations
3.
Yao, Yilong, Rong Zhou, Chao Yan, et al.. (2025). LncRNA RMG controls liquid-liquid phase separation of MEIS2 to regulate myogenesis. International Journal of Biological Macromolecules. 310(Pt 1). 143309–143309. 1 indexed citations
4.
Han, Xue, Minyi Zhao, Kexin Wang, et al.. (2025). IFN alpha signaling drives hematopoietic stem cells malfunction under acute inflammation. International Immunopharmacology. 147. 114012–114012.
5.
Zhang, Yangyi, et al.. (2025). A PSAT1 buff of YBX1 transcriptionally sustains HLA-E-mediated evasion of NK immunity. Proceedings of the National Academy of Sciences. 122(52). e2505658122–e2505658122.
6.
Yang, Yalan, Haifeng Li, Wei Yang, & Yanxia Shi. (2024). Improving efficacy of TNBC immunotherapy: based on analysis and subtyping of immune microenvironment. Frontiers in Immunology. 15. 1441667–1441667. 4 indexed citations
7.
Liu, Xiaoqin, Xinhao Fan, Junyu Yan, et al.. (2024). An InDel in the promoter of ribosomal protein S27-like gene regulates skeletal muscle growth in pigs. Journal of Integrative Agriculture. 25(3). 1114–1124. 1 indexed citations
8.
Yan, Chao, Yilong Yao, Yalan Yang, et al.. (2024). Transcription Factor SATB2 Regulates Skeletal Muscle Cell Proliferation and Migration via HDAC4 in Pigs. Genes. 15(1). 65–65. 1 indexed citations
9.
Ruan, Xiangbin, Kaining Hu, Yalan Yang, et al.. (2024). Cell-Type–Specific Splicing of Transcription Regulators and Ptbp1 by Rbfox1/2/3 in the Developing Neocortex. Journal of Neuroscience. 45(7). e0822242024–e0822242024.
10.
Wang, Wei, Xinhao Fan, Weiwei Liu, et al.. (2024). The Spatial‐Temporal Alternative Splicing Profile Reveals the Functional Diversity of FXR1 Isoforms in Myogenesis. Advanced Science. 11(47). e2405157–e2405157. 3 indexed citations
11.
12.
Li, Angela, Liaofu Luo, Wei Du, et al.. (2023). P2.05-10 The Power for PD-L1 Expression to Predict Immune Checkpoint Blockade Outcomes is Determined by Tumor Transcriptome. Journal of Thoracic Oncology. 18(11). S311–S312.
13.
Yan-wen, Liu, Yilong Yao, Yongsheng Zhang, et al.. (2023). MicroRNA-200c-5p Regulates Migration and Differentiation of Myoblasts via Targeting Adamts5 in Skeletal Muscle Regeneration and Myogenesis. International Journal of Molecular Sciences. 24(5). 4995–4995. 7 indexed citations
14.
Hsu, Hung‐Te, Yalan Yang, Wan‐Hsuan Chang, et al.. (2022). Hyperbaric Oxygen Therapy Improves Parkinson’s Disease by Promoting Mitochondrial Biogenesis via the SIRT-1/PGC-1α Pathway. Biomolecules. 12(5). 661–661. 29 indexed citations
15.
Li, Qiaowei, Liyuan Wang, Kai Xing, et al.. (2022). Identification of circRNAs Associated with Adipogenesis Based on RNA-Seq Data in Pigs. Genes. 13(11). 2062–2062. 2 indexed citations
16.
Wu, Jinhua, et al.. (2021). Genetic diversity analysis in Chinese miniature pigs using swine leukocyte antigen complex microsatellites. Animal Bioscience. 34(11). 1757–1765. 3 indexed citations
17.
Tan, Shuwen, Yi Zhou, Haiquan Zhao, et al.. (2021). Comprehensive transcriptome analysis of hypothalamus reveals genes associated with disorders of sex development in pigs. The Journal of Steroid Biochemistry and Molecular Biology. 210. 105875–105875. 11 indexed citations
18.
Liu, Zongying, Yuan Xue, Ruixue Bai, et al.. (2017). PAMs ameliorates the imiquimod-induced psoriasis-like skin disease in mice by inhibition of translocation of NF-κB and production of inflammatory cytokines. PLoS ONE. 12(5). e0176823–e0176823. 25 indexed citations
19.
Niu, Guanglin, Yalan Yang, Yuanyuan Zhang, et al.. (2016). Identifying suitable reference genes for gene expression analysis in developing skeletal muscle in pigs. PeerJ. 4. e2428–e2428. 17 indexed citations
20.
Yang, Yalan, Wei Sun, Ruiqi Wang, et al.. (2015). Wnt antagonist, secreted frizzled-related protein 1, is involved in prenatal skeletal muscle development and is a target of miRNA-1/206 in pigs. BMC Molecular Biology. 16(1). 4–4. 35 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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