Lu Yang

3.7k total citations
57 papers, 2.9k citations indexed

About

Lu Yang is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lu Yang has authored 57 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 17 papers in Cancer Research and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lu Yang's work include MicroRNA in disease regulation (15 papers), Neuroscience and Neuropharmacology Research (11 papers) and Cancer-related molecular mechanisms research (7 papers). Lu Yang is often cited by papers focused on MicroRNA in disease regulation (15 papers), Neuroscience and Neuropharmacology Research (11 papers) and Cancer-related molecular mechanisms research (7 papers). Lu Yang collaborates with scholars based in China, United States and Australia. Lu Yang's co-authors include John Q. Wang, Limin Mao, Anish Arora, Guochi Zhang, Phoebe A. Phillips, Qingsong Tang, Zhenguo Liu, Eugene E. Fibuch, Xiaobo Zhang and Geng Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Lu Yang

57 papers receiving 2.9k citations

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 31 1.7k 779 603 491 351 57 2.9k
Patrick Küry Germany 34 1.4k 0.8× 343 0.4× 717 1.2× 312 0.6× 434 1.2× 119 3.2k
Marı́a Santacana Spain 34 1.3k 0.8× 469 0.6× 870 1.4× 439 0.9× 244 0.7× 111 3.2k
Jonathan R. Whitfield United Kingdom 19 3.0k 1.7× 551 0.7× 936 1.6× 897 1.8× 334 1.0× 34 4.0k
Chun Cheng China 29 1.6k 0.9× 431 0.6× 285 0.5× 447 0.9× 403 1.1× 123 2.6k
Raya Eilam Israel 40 1.7k 1.0× 506 0.6× 718 1.2× 649 1.3× 648 1.8× 70 4.3k
Mario Encinas Spain 29 2.0k 1.1× 345 0.4× 780 1.3× 402 0.8× 251 0.7× 49 3.4k
Johan Lundkvist Sweden 29 1.6k 0.9× 515 0.7× 463 0.8× 384 0.8× 348 1.0× 51 3.4k
Robert S. Freeman United States 27 2.6k 1.5× 1.1k 1.4× 1.0k 1.7× 454 0.9× 277 0.8× 38 3.8k
Amantha Thathiah United States 19 1.7k 1.0× 403 0.5× 527 0.9× 219 0.4× 349 1.0× 33 2.8k

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
1.
Yang, Lu, Xuewen Liu, Qin Zhang, et al.. (2025). DYNC2H1 mutation as a potential predictive biomarker for immune checkpoint inhibitor efficacy in NSCLC and melanoma. Investigational New Drugs. 43(2). 199–213. 1 indexed citations
2.
Zhang, Zhonghui, Liang Zhong, Chen Liu, et al.. (2022). ZFP91 promotes cell proliferation and inhibits cell apoptosis in AML via inhibiting the proteasome-dependent degradation of RIP1. International Journal of Medical Sciences. 19(2). 274–285. 3 indexed citations
3.
Shou, Yanhong, Lu Yang, Yongsheng Yang, et al.. (2021). Determination of hypoxia signature to predict prognosis and the tumor immune microenvironment in melanoma. Molecular Omics. 17(2). 307–316. 27 indexed citations
4.
Knights, Alexander J., Lu Yang, Manan Shah, et al.. (2020). Krüppel-like factor 3 (KLF3) suppresses NF-κB–driven inflammation in mice. Journal of Biological Chemistry. 295(18). 6080–6091. 20 indexed citations
5.
Zhang, Qing, Lu Yang, Zhenzhen Li, et al.. (2017). Surface expression of anti‐CD3scfv stimulates locoregional immunotherapy against hepatocellular carcinoma depending on the E1A‐engineered human umbilical cord mesenchymal stem cells. International Journal of Cancer. 141(7). 1445–1457. 10 indexed citations
6.
Yang, Lu, Tao Ma, & Jin Zhang. (2016). GPRC5A exerts its tumor-suppressive effects in breast cancer cells by inhibiting EGFR and its downstream pathway. Oncology Reports. 36(5). 2983–2990. 21 indexed citations
7.
Gong, Yi, et al.. (2015). The role of miR-100 in regulating apoptosis of breast cancer cells. Scientific Reports. 5(1). 11650–11650. 61 indexed citations
8.
McCarroll, Joshua A., Pei Pei Gan, Rafael B. Erlich, et al.. (2014). TUBB3 /βIII-Tubulin Acts through the PTEN/AKT Signaling Axis to Promote Tumorigenesis and Anoikis Resistance in Non–Small Cell Lung Cancer. Cancer Research. 75(2). 415–425. 80 indexed citations
9.
Yang, Lu, Geng Yang, & Xiaobo Zhang. (2014). The miR-100-mediated pathway regulates apoptosis against virus infection in shrimp. Fish & Shellfish Immunology. 40(1). 146–153. 42 indexed citations
10.
Wang, Yang, et al.. (2013). Mechanism of the inhibition of the STAT3 signaling pathway by EGCG. Oncology Reports. 30(6). 2691–2696. 58 indexed citations
11.
Byrne, Frances L., Lu Yang, Phoebe A. Phillips, et al.. (2013). RNAi-mediated stathmin suppression reduces lung metastasis in an orthotopic neuroblastoma mouse model. Oncogene. 33(7). 882–890. 54 indexed citations
12.
Phillips, Phoebe A., Lu Yang, Arthur Shulkes, et al.. (2010). Pancreatic stellate cells produce acetylcholine and may play a role in pancreatic exocrine secretion. Proceedings of the National Academy of Sciences. 107(40). 17397–17402. 79 indexed citations
13.
Xu, Zhihong, Alain Vonlaufen, Phoebe A. Phillips, et al.. (2010). Role of Pancreatic Stellate Cells in Pancreatic Cancer Metastasis. American Journal Of Pathology. 177(5). 2585–2596. 286 indexed citations
14.
Wang, Jianzhong, Chun Ouyang, Xiangmei Chen, et al.. (2008). Effect of Jak2 kinase inhibition on Stat1 and Stat3 activation and apoptosis of tubular epithelial cells induced by ATP depletion/recovery. Journal of Nephrology. 21(6). 919–923. 11 indexed citations
15.
Haines, Michelle, et al.. (2008). Modulation of AMPA receptor GluR1 subunit phosphorylation in neurons by the intravenous anaesthetic propofol. British Journal of Anaesthesia. 100(5). 676–682. 11 indexed citations
16.
Zhang, Jin, Yingying Du, Yifeng Lin, et al.. (2008). The cell growth suppressor, mir-126, targets IRS-1. Biochemical and Biophysical Research Communications. 377(1). 136–140. 198 indexed citations
17.
Ong, Christopher J., Andrew Ming‐Lum, Matt Nodwell, et al.. (2007). Small-molecule agonists of SHIP1 inhibit the phosphoinositide 3-kinase pathway in hematopoietic cells. Blood. 110(6). 1942–1949. 124 indexed citations
18.
Mao, Li-Min, Xianyu Liu, Nikhil K. Parelkar, et al.. (2007). In Vivo Regulation of Homer1a Expression in the Striatum by Cocaine. Molecular Pharmacology. 71(4). 1148–1158. 62 indexed citations
20.
Wang, John Q., Qingsong Tang, Nikhil K. Parelkar, et al.. (2004). Glutamate Signaling to Ras-MAPK in Striatal Neurons: Mechanisms for Inducible Gene Expression and Plasticity. Molecular Neurobiology. 29(1). 1–14. 101 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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