Yuping Luo

3.1k total citations
47 papers, 1.7k citations indexed

About

Yuping Luo is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Yuping Luo has authored 47 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 15 papers in Cancer Research and 8 papers in Genetics. Recurrent topics in Yuping Luo's work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (8 papers) and Epigenetics and DNA Methylation (7 papers). Yuping Luo is often cited by papers focused on MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (8 papers) and Epigenetics and DNA Methylation (7 papers). Yuping Luo collaborates with scholars based in China, United States and Austria. Yuping Luo's co-authors include Xinyu Zhao, Siguang Li, Richard D. Smrt, Xuekun Li, Keith E. Szulwach, Peng Jin, Wen‐Di Li, Nicholas J. Santistevan, Rebecca L. Pfeiffer and Weixiang Guo and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Yuping Luo

46 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuping Luo China 18 1.3k 639 538 283 150 47 1.7k
Anna Szekely United States 14 1.8k 1.4× 258 0.4× 470 0.9× 293 1.0× 326 2.2× 22 2.3k
Sheena Lee United Kingdom 20 1.4k 1.1× 340 0.5× 369 0.7× 127 0.4× 217 1.4× 27 2.0k
Weixiang Guo China 27 1.8k 1.4× 552 0.9× 727 1.4× 647 2.3× 351 2.3× 59 2.7k
Ngan Vo United States 9 1.5k 1.2× 685 1.1× 359 0.7× 132 0.5× 274 1.8× 9 2.0k
Chelsea Gelboin-Burkhart United States 7 1.8k 1.4× 312 0.5× 274 0.5× 142 0.5× 286 1.9× 7 2.1k
Apuã C.M. Paquola United States 18 1.6k 1.2× 143 0.2× 298 0.6× 263 0.9× 375 2.5× 27 2.0k
Avtar Roopra United States 27 1.6k 1.2× 341 0.5× 436 0.8× 123 0.4× 572 3.8× 55 2.5k
Justin Cotney United States 22 1.6k 1.2× 136 0.2× 573 1.1× 88 0.3× 80 0.5× 44 2.0k
Siniša Hrvatin United States 19 1.4k 1.0× 135 0.2× 520 1.0× 136 0.5× 269 1.8× 23 2.2k
Julian Ik‐Tsen Heng Australia 23 1.7k 1.3× 206 0.3× 528 1.0× 712 2.5× 640 4.3× 49 2.6k

Countries citing papers authored by Yuping Luo

Since Specialization
Citations

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

Fields of papers citing papers by Yuping Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuping Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Yuping Luo. A scholar is included among the top collaborators of Yuping Luo 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 Yuping Luo. Yuping Luo 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.
Chen, Yuqing, Junying Zhu, Wang Xl, et al.. (2025). A cross-sectional survey on the health status of patients with Charcot–Marie–Tooth disease in a Chinese national patient group. Journal of Neurology. 272(5). 322–322. 2 indexed citations
2.
Wang, Beilei, Yuping Luo, Xu Han, et al.. (2025). The abscisic acid signaling negative regulator OsPP2C68 confers drought and salinity tolerance to rice. Scientific Reports. 15(1). 6730–6730. 6 indexed citations
3.
Zhang, Boning, Yuping Luo, Yingxu Wang, et al.. (2024). Atomistic structures and stabilities of MgAl2O4 surfaces under processing conditions: A first-principles thermodynamics study. Vacuum. 227. 113460–113460. 2 indexed citations
4.
5.
Zhang, Feng, Zhuoqun Li, Chenming Liu, et al.. (2024). Characteristics of quiescent adult neural stem cells induced by the bFGF/BMP4 combination or BMP4 alone in vitro. Frontiers in Cellular Neuroscience. 18. 1391556–1391556. 2 indexed citations
6.
Zhang, Xi, Yong Hu, Chenming Liu, et al.. (2023). Irisin exhibits neuroprotection by preventing mitochondrial damage in Parkinson’s disease. npj Parkinson s Disease. 9(1). 13–13. 48 indexed citations
7.
Li, Chun, Hao Shen, Meng Liu, Siguang Li, & Yuping Luo. (2022). Natural antisense RNA Foxk1-AS promotes myogenic differentiation by inhibiting Foxk1 activity. Cell Communication and Signaling. 20(1). 77–77. 3 indexed citations
8.
Liu, Chenming, et al.. (2021). Identification of Immune Cells and Key Genes associated with Alzheimer's Disease. International Journal of Medical Sciences. 19(1). 112–125. 21 indexed citations
9.
Zhang, Xi, et al.. (2021). Immune Profiling of Parkinson’s Disease Revealed Its Association With a Subset of Infiltrating Cells and Signature Genes. Frontiers in Aging Neuroscience. 13. 605970–605970. 23 indexed citations
10.
Zhang, Xi, Yu Fan, Yuping Luo, Lingjing Jin, & Siguang Li. (2020). Lipid Metabolism is the common pathologic mechanism between Type 2 Diabetes Mellitus and Parkinson's disease. International Journal of Medical Sciences. 17(12). 1723–1732. 11 indexed citations
11.
12.
Wang, Haiyun, Xuejian Zhou, Chunlian Jiang, et al.. (2017). Spontaneous generation of a novel foetal human retinal pigment epithelium (RPE) cell line available for investigation on phagocytosis and morphogenesis. Cell Proliferation. 50(6). 5 indexed citations
13.
Gao, Fei, Yuyu Niu, Yi Eve Sun, et al.. (2017). De novo DNA methylation during monkey pre-implantation embryogenesis. Cell Research. 27(4). 526–539. 35 indexed citations
14.
Chen, Xiaoying, Kunshan Zhang, Liqiang Zhou, et al.. (2016). Coupled electrophysiological recording and single cell transcriptome analyses revealed molecular mechanisms underlying neuronal maturation. Protein & Cell. 7(3). 175–186. 36 indexed citations
15.
Gong, Xi, et al.. (2014). Computational Identification and Experimental Validation of MicroRNAs Binding to the Fragile X Syndrome Gene Fmr1. Neurochemical Research. 40(1). 109–117. 8 indexed citations
16.
Luo, Yuping, Chun Li, Xi Gong, et al.. (2013). Splicing-Related Features of Introns Serve to Propel Evolution. PLoS ONE. 8(3). e58547–e58547. 4 indexed citations
17.
Hu, Ganlu, Kevin Huang, Juehua Yu, et al.. (2012). Identification of miRNA Signatures during the Differentiation of hESCs into Retinal Pigment Epithelial Cells. PLoS ONE. 7(7). e37224–e37224. 28 indexed citations
18.
Luo, Yuping, Ge Shan, Weixiang Guo, et al.. (2010). Fragile X Mental Retardation Protein Regulates Proliferation and Differentiation of Adult Neural Stem/Progenitor Cells. PLoS Genetics. 6(4). e1000898–e1000898. 202 indexed citations
19.
Luo, Yuping. (2007). Cloning and Sequence Analysis of β-carotene Hydroxylase Gene from Nanfeng Orange(Citrus reticulata Blanco var.kinokuni(Tanaka) H.H.Hu). Xibei zhiwu xuebao. 1 indexed citations
20.
Li, Siguang, Hui Zhou, Yuping Luo, Peng Zhang, & Liang‐Hu Qu. (2005). Identification and Functional Analysis of 20 Box H/ACA Small Nucleolar RNAs (snoRNAs) from Schizosaccharomyces pombe. Journal of Biological Chemistry. 280(16). 16446–16455. 28 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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