Yaoyong Lu

541 total citations
12 papers, 486 citations indexed

About

Yaoyong Lu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yaoyong Lu has authored 12 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Yaoyong Lu's work include MicroRNA in disease regulation (5 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (3 papers). Yaoyong Lu is often cited by papers focused on MicroRNA in disease regulation (5 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (3 papers). Yaoyong Lu collaborates with scholars based in China, Macao and United States. Yaoyong Lu's co-authors include Xubin Deng, Wendong Huang, Xin Zheng, Tao Li, Hongbing Cai, Xin Li, Xiaoming Lyu, Longmei Cai, Guang‐Hui Xiao and Lei Ma and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Pharmaceutical Research and Oncotarget.

In The Last Decade

Yaoyong Lu

12 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaoyong Lu China 10 365 361 129 40 28 12 486
Haijiao Yan China 11 343 0.9× 302 0.8× 128 1.0× 14 0.3× 33 1.2× 23 466
Yannick Delpu France 7 412 1.1× 306 0.8× 181 1.4× 32 0.8× 63 2.3× 7 532
Rushi S. Patel United States 6 357 1.0× 306 0.8× 44 0.3× 19 0.5× 21 0.8× 6 490
Fui Teen Chong Singapore 9 314 0.9× 237 0.7× 150 1.2× 20 0.5× 34 1.2× 10 466
Sanjib Dey India 9 196 0.5× 112 0.3× 143 1.1× 14 0.3× 25 0.9× 10 313
Е. Л. Чойнзонов Russia 10 139 0.4× 75 0.2× 78 0.6× 25 0.6× 33 1.2× 71 277
Shule Xie China 11 437 1.2× 423 1.2× 122 0.9× 23 0.6× 57 2.0× 17 602
Xiaodan Fang China 10 177 0.5× 133 0.4× 78 0.6× 12 0.3× 26 0.9× 18 298
James Jabalee Canada 9 327 0.9× 242 0.7× 42 0.3× 8 0.2× 17 0.6× 14 391

Countries citing papers authored by Yaoyong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yaoyong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoyong Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yaoyong Lu. A scholar is included among the top collaborators of Yaoyong Lu 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 Yaoyong Lu. Yaoyong Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
2.
Lu, Yaoyong, et al.. (2019). MicroRNA‐224, negatively regulated by c‐jun, inhibits growth and epithelial‐to‐mesenchymal transition phenotype via targeting ADAM17 in oral squamous cell carcinoma. Journal of Cellular and Molecular Medicine. 23(8). 4913–4920. 12 indexed citations
3.
Lu, Yaoyong, Yingying Liang, Xin Zheng, et al.. (2019). EVI1 promotes epithelial-to-mesenchymal transition, cancer stem cell features and chemo−/radioresistance in nasopharyngeal carcinoma. Journal of Experimental & Clinical Cancer Research. 38(1). 82–82. 41 indexed citations
4.
Lu, Yaoyong, Xubin Deng, Guang‐Hui Xiao, et al.. (2019). circ_0001730 promotes proliferation and invasion via the miR-326/Wnt7B axis in glioma cells. Epigenomics. 11(11). 1335–1352. 46 indexed citations
5.
Zou, Ying, et al.. (2017). Meta-analysis of the relationship between excision repair cross-complementing Group 5 rs17655 gene polymorphism and head and neck cancer susceptibility. Journal of Cancer Research and Therapeutics. 14(12). 1041–1041. 3 indexed citations
6.
Lu, Yaoyong, Peng Wang, Simin Huang, et al.. (2017). Long non-coding RNA XIST promotes cell growth by regulating miR-139-5p/PDK1/AKT axis in hepatocellular carcinoma. Tumor Biology. 39(2). 2901568631–2901568631. 75 indexed citations
7.
Lu, Yaoyong, et al.. (2016). Direct targeting of MAPK8IP1 by miR-10a-5p is a major mechanism for gastric cancer metastasis. Oncology Letters. 13(3). 1131–1136. 23 indexed citations
8.
Lu, Yaoyong, et al.. (2016). Prognostic nutritional index predicts prognosis in patients with metastatic nasopharyngeal carcinoma. OncoTargets and Therapy. Volume 9. 5955–5961. 21 indexed citations
10.
Cai, Longmei, Jinbang Li, Xiaona Zhang, et al.. (2015). Gold nano-particles (AuNPs) carrying anti-EBV-miR-BART7-3p inhibit growth of EBV-positive nasopharyngeal carcinoma. Oncotarget. 6(10). 7838–7850. 54 indexed citations
11.
Li, Yingjia, Ge Wen, Dongxiao Wang, et al.. (2014). A Complementary Strategy for Enhancement of Nanoparticle Intracellular Uptake. Pharmaceutical Research. 31(8). 2054–2064. 16 indexed citations
12.
Ye, Yanfen, Lan Zhang, Yuxiang Chen, et al.. (2013). EBV-miR-BART1 is involved in regulating metabolism-associated genes in nasopharyngeal carcinoma. Biochemical and Biophysical Research Communications. 436(1). 19–24. 57 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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