Lu Yang

5.1k total citations · 2 hit papers
89 papers, 3.7k citations indexed

About

Lu Yang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Lu Yang has authored 89 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 41 papers in Cancer Research and 26 papers in Oncology. Recurrent topics in Lu Yang's work include Cancer-related molecular mechanisms research (20 papers), MicroRNA in disease regulation (17 papers) and Circular RNAs in diseases (13 papers). Lu Yang is often cited by papers focused on Cancer-related molecular mechanisms research (20 papers), MicroRNA in disease regulation (17 papers) and Circular RNAs in diseases (13 papers). Lu Yang collaborates with scholars based in China, United States and Hong Kong. Lu Yang's co-authors include Hailin Tang, Xiaoming Xie, Yanan Kong, Xinhua Xie, Xiaojia Huang, Weidong Wei, Jin Wang, Cailu Song, John S. Mudgett and Michael M. Shen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Lu Yang

84 papers receiving 3.7k citations

Hit Papers

Class I histone deacetylases (HDAC1–3) are histone lysine... 2022 2026 2023 2024 2022 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Yang China 32 2.7k 1.7k 777 364 273 89 3.7k
Liu Yang China 31 2.3k 0.9× 1.8k 1.0× 695 0.9× 397 1.1× 340 1.2× 106 3.4k
Elena Piskounova United States 13 2.9k 1.0× 1.7k 1.0× 895 1.2× 261 0.7× 328 1.2× 22 4.1k
Miao He China 37 2.1k 0.8× 1.3k 0.7× 904 1.2× 439 1.2× 339 1.2× 117 3.4k
Xinhua Xie China 33 2.1k 0.8× 1.8k 1.0× 870 1.1× 524 1.4× 229 0.8× 76 3.1k
Min Su China 25 2.1k 0.8× 1.5k 0.9× 590 0.8× 303 0.8× 463 1.7× 58 3.0k
Yu‐Shui Ma China 31 1.9k 0.7× 1.3k 0.8× 619 0.8× 339 0.9× 332 1.2× 117 3.0k
Naohiro Nishida Japan 30 2.6k 1.0× 2.2k 1.3× 776 1.0× 307 0.8× 147 0.5× 72 3.6k
Yaguang Xi United States 34 3.8k 1.4× 3.0k 1.7× 808 1.0× 313 0.9× 308 1.1× 78 4.9k

Countries citing papers authored by Lu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Yang. A scholar is included among the top collaborators of Lu 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 Lu Yang. Lu 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.
Huang, Fei, Lu Yang, Liu Yang, et al.. (2024). Interplay of FXN expression and lipolysis in white adipocytes plays a critical role in insulin sensitivity in Friedreich’s ataxia mouse model. Scientific Reports. 14(1). 19876–19876. 1 indexed citations
3.
Huang, Fei, Jinghua Zhang, Siyu Xia, et al.. (2024). Downregulation of Iron–Sulfur Cluster Biogenesis May Contribute to Hyperglycemia-Mediated Diabetic Peripheral Neuropathy in Murine Models. Antioxidants. 13(9). 1036–1036. 3 indexed citations
4.
Zeng, Bin, Linghui Deng, Wei Zhang, et al.. (2024). Associations between Per- and Polyfluoroalkyl Substances Exposures and Bone Mineral: A Systematic Review and Best Evidence Synthesis. Environment & Health. 3(4). 363–372. 1 indexed citations
5.
Xu, Hao, Lu Yang, Wenting Lin, et al.. (2023). Neuroimaging profiles of the negative affective network predict anxiety severity in patients with chronic insomnia disorder: A machine learning study. Journal of Affective Disorders. 340. 542–550. 9 indexed citations
6.
Chen, Peixin, Lu Yang, Wenting Lin, et al.. (2023). Neural mechanisms of attentional bias to emotional faces in patients with chronic insomnia disorder. Journal of Psychiatric Research. 169. 49–57. 6 indexed citations
7.
Sun, Qiang, Lu Yang, Yuxin Zhao, et al.. (2023). Promising Nanomedicines of Shikonin for Cancer Therapy. International Journal of Nanomedicine. Volume 18. 1195–1218. 44 indexed citations
8.
Zhou, Liting, Ning Yao, Lu Yang, et al.. (2023). DUSP4 promotes esophageal squamous cell carcinoma progression by dephosphorylating HSP90β. Cell Reports. 42(5). 112445–112445. 15 indexed citations
9.
You, A‐Bin, et al.. (2023). CMTR1 promotes colorectal cancer cell growth and immune evasion by transcriptionally regulating STAT3. Cell Death and Disease. 14(4). 245–245. 13 indexed citations
10.
Wang, Zehao, Lu Yang, Peng Wu, et al.. (2022). The circROBO1/KLF5/FUS feedback loop regulates the liver metastasis of breast cancer by inhibiting the selective autophagy of afadin. Molecular Cancer. 21(1). 29–29. 118 indexed citations
11.
Zou, Yutian, Shaoquan Zheng, Xinhua Xie, et al.. (2022). N6-methyladenosine regulated FGFR4 attenuates ferroptotic cell death in recalcitrant HER2-positive breast cancer. Nature Communications. 13(1). 2672–2672. 167 indexed citations breakdown →
12.
Moreno–Yruela, Carlos, Di Zhang, Wei Wei, et al.. (2022). Class I histone deacetylases (HDAC1–3) are histone lysine delactylases. Science Advances. 8(3). eabi6696–eabi6696. 425 indexed citations breakdown →
13.
Yang, Lu, Ning Li, Jian Li, et al.. (2020). Synergistic therapeutic effect of combined PDGFR and SGK1 inhibition in metastasis-initiating cells of breast cancer. Cell Death and Differentiation. 27(7). 2066–2080. 31 indexed citations
14.
Xie, Xinhua, Xiaojia Huang, Hailin Tang, et al.. (2018). Diallyl Disulfide Inhibits Breast Cancer Stem Cell Progression and Glucose Metabolism by Targeting CD44/PKM2/AMPK Signaling. Current Cancer Drug Targets. 18(6). 592–599. 31 indexed citations
15.
Li, Ning, Lu Yang, Xinhua Xie, et al.. (2018). BET bromodomain inhibitor JQ1 preferentially suppresses EBV-positive nasopharyngeal carcinoma cells partially through repressing c-Myc. Cell Death and Disease. 9(7). 761–761. 34 indexed citations
16.
Yang, Lu, Youyou Zhang, Weiwei Shan, et al.. (2017). Repression of BET activity sensitizes homologous recombination–proficient cancers to PARP inhibition. Science Translational Medicine. 9(400). 181 indexed citations
17.
Xie, Xiaoming, Yanan Kong, Hailin Tang, et al.. (2014). Targeted BikDD Expression Kills Androgen-Dependent and Castration-Resistant Prostate Cancer Cells. Molecular Cancer Therapeutics. 13(7). 1813–1825. 12 indexed citations
18.
Tang, Hailin, Peng Liu, Lu Yang, et al.. (2014). miR-185 Suppresses Tumor Proliferation by Directly Targeting E2F6 and DNMT1 and Indirectly Upregulating BRCA1 in Triple-Negative Breast Cancer. Molecular Cancer Therapeutics. 13(12). 3185–3197. 101 indexed citations
19.
Hu, Yahui, et al.. (2014). [HMGB1-a as potential target for therapy of hematological malignancies].. PubMed. 22(2). 560–4. 4 indexed citations
20.

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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