Yiping Qu

1.5k total citations
37 papers, 1.1k citations indexed

About

Yiping Qu is a scholar working on Molecular Biology, Cancer Research and Clinical Biochemistry. According to data from OpenAlex, Yiping Qu has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Clinical Biochemistry. Recurrent topics in Yiping Qu's work include Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (6 papers) and Metabolism and Genetic Disorders (5 papers). Yiping Qu is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (6 papers) and Metabolism and Genetic Disorders (5 papers). Yiping Qu collaborates with scholars based in China, United States and Nigeria. Yiping Qu's co-authors include Peng Hou, Siwen Dang, Meiju Ji, Qi Yang, Bingyin Shi, Yuan Shao, Bingyin Shi, Bowen Yao, Fang Sui and Simeng Wang and has published in prestigious journals such as ACS Nano, Chemistry of Materials and Advanced Functional Materials.

In The Last Decade

Yiping Qu

37 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiping Qu China 17 685 314 161 103 93 37 1.1k
Wei Bao China 18 651 1.0× 393 1.3× 197 1.2× 69 0.7× 76 0.8× 35 1.1k
Donald W. Coulter United States 19 679 1.0× 322 1.0× 228 1.4× 77 0.7× 61 0.7× 79 1.2k
Jinlu Ma China 17 429 0.6× 283 0.9× 181 1.1× 100 1.0× 98 1.1× 49 855
Murali K. Ravoori United States 12 455 0.7× 204 0.6× 198 1.2× 87 0.8× 64 0.7× 20 734
Liwei Ma China 22 643 0.9× 181 0.6× 177 1.1× 166 1.6× 60 0.6× 81 1.2k
Shaojiang Zheng China 15 626 0.9× 299 1.0× 211 1.3× 158 1.5× 146 1.6× 52 1.1k
Pang‐Kuo Lo United States 19 603 0.9× 332 1.1× 293 1.8× 69 0.7× 82 0.9× 35 971
Jianting Long China 20 784 1.1× 512 1.6× 290 1.8× 125 1.2× 141 1.5× 51 1.2k
Johann Kern Germany 18 454 0.7× 162 0.5× 208 1.3× 98 1.0× 83 0.9× 55 863
Junko Kano Japan 19 527 0.8× 201 0.6× 163 1.0× 98 1.0× 132 1.4× 46 920

Countries citing papers authored by Yiping Qu

Since Specialization
Citations

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

Fields of papers citing papers by Yiping Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiping Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Yiping Qu. A scholar is included among the top collaborators of Yiping Qu 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 Yiping Qu. Yiping Qu 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.
Wang, Guanjie, Jianying Li, Fang Sui, et al.. (2024). High expression of RTEL1 predicates worse progression in gliomas and promotes tumorigenesis through JNK/ELK1 cascade. BMC Cancer. 24(1). 385–385. 5 indexed citations
2.
Qu, Yiping, Qian Zou, Song‐Song Bao, & Li‐Min Zheng. (2023). Boosting the proton conduction in a magnetic dysprosium-organic framework by introducing conjugate NH4+-NH3 pairs. Chinese Chemical Letters. 35(1). 108320–108320. 16 indexed citations
3.
Qu, Yiping, Xin‐Da Huang, Kui Xu, Song‐Song Bao, & Li‐Min Zheng. (2023). Octahedral lanthanide clusters containing a central PO43− anion: structural, luminescent, magnetic and relaxometric properties. Dalton Transactions. 52(30). 10489–10498. 8 indexed citations
4.
Chen, Pu, et al.. (2022). Cohesin <b><i>RAD21</i></b> Gene Promoter Methylation Correlated with Better Prognosis in Breast Cancer Patients. Cytogenetic and Genome Research. 162(3). 109–118. 2 indexed citations
5.
Wang, Yuanyuan, Pu Chen, Meiju Ji, et al.. (2022). Promoter methylation of transient receptor potential melastatin-related 7 (TRPM7) predicts a better prognosis in patients with Luminal A breast cancers. BMC Cancer. 22(1). 951–951. 5 indexed citations
6.
Qu, Yiping, et al.. (2021). Identification of a germline CSPG4 variation in a family with neurofibromatosis type 1-like phenotype. Cell Death and Disease. 12(8). 765–765. 2 indexed citations
7.
Pu, Jun, Zhe Liu, Jing Wei, et al.. (2021). HACE1-mediated NRF2 activation causes enhanced malignant phenotypes and decreased radiosensitivity of glioma cells. Signal Transduction and Targeted Therapy. 6(1). 399–399. 21 indexed citations
8.
Liu, Shan, Dongjuan Wang, Hao Liu, et al.. (2020). Chinese expert brief consensus on newborn screening of inherited metabolic disorders during the novel coronavirus infection epidemic. Annals of Translational Medicine. 8(7). 429–429. 7 indexed citations
9.
He, Wangxiao, Jin Yan, Fang Sui, et al.. (2018). Turning a Luffa Protein into a Self-Assembled Biodegradable Nanoplatform for Multitargeted Cancer Therapy. ACS Nano. 12(11). 11664–11677. 46 indexed citations
10.
Li, Heng, Yiping Qu, Qi Yang, et al.. (2018). SIRT7 promotes thyroid tumorigenesis through phosphorylation and activation of Akt and p70S6K1 via DBC1/SIRT1 axis. Oncogene. 38(3). 345–359. 51 indexed citations
11.
Zhang, Yuchen, et al.. (2017). Lipoamide Inhibits NF1 Deficiency-induced Epithelial-Mesenchymal Transition in Murine Schwann Cells. Archives of Medical Research. 48(6). 498–505. 9 indexed citations
12.
Qu, Yiping, Qi Yang, Juan Liu, et al.. (2017). c-Myc is Required for BRAFV600E-Induced Epigenetic Silencing by H3K27me3 in Tumorigenesis. Theranostics. 7(7). 2092–2107. 30 indexed citations
13.
Qu, Yiping, Bingyin Shi, & Peng Hou. (2017). Activated ERK: An Emerging Player in miRNA Downregulation. Trends in cancer. 3(3). 163–165. 8 indexed citations
14.
Qu, Yiping, Qi Yang, Fang Sui, et al.. (2014). A Strategy for Accurate Quantification of 5-Methylcytosine and 5-Hydroxymethylcytosine at CpG Sites Within Gene Promoter. Journal of Biomedical Nanotechnology. 11(6). 1016–1026. 4 indexed citations
15.
Zhao, Zhengyan, et al.. (2013). [Methylation analysis of CpG island DNA of FMR1 gene in the fragile X syndrome].. PubMed. 30(1). 60–3. 2 indexed citations
16.
Zhang, Guanjun, Yiping Qu, Siwen Dang, et al.. (2013). Variable copy number of mitochondrial DNA (mtDNA) predicts worse prognosis in advanced gastric cancer patients. Diagnostic Pathology. 8(1). 173–173. 36 indexed citations
17.
Shao, Yuan, Yiping Qu, Siwen Dang, Bowen Yao, & Meiju Ji. (2013). MiR-145 inhibits oral squamous cell carcinoma (OSCC) cell growth by targeting c-Myc and Cdk6. Cancer Cell International. 13(1). 51–51. 94 indexed citations
18.
Qu, Yiping, Siwen Dang, & Peng Hou. (2013). Gene methylation in gastric cancer. Clinica Chimica Acta. 424. 53–65. 301 indexed citations
19.
Chen, Xiaoxiao, Yufeng Qin, Xuelian Zhou, et al.. (2011). Diagnosis and treatment of subclinical hypothyroidism detected by neonatal screening. World Journal of Pediatrics. 7(4). 350–354. 4 indexed citations
20.
Cooper, Donald P., et al.. (1992). DNA methylation damage in individuals at high risk for stomach cancer. Mutation Research/Environmental Mutagenesis and Related Subjects. 271(2). 188–189. 2 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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