Xiaoling Yang

10.4k total citations · 1 hit paper
89 papers, 8.4k citations indexed

About

Xiaoling Yang is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Xiaoling Yang has authored 89 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 31 papers in Cancer Research and 10 papers in Physiology. Recurrent topics in Xiaoling Yang's work include RNA Research and Splicing (47 papers), RNA modifications and cancer (34 papers) and Cancer-related molecular mechanisms research (19 papers). Xiaoling Yang is often cited by papers focused on RNA Research and Splicing (47 papers), RNA modifications and cancer (34 papers) and Cancer-related molecular mechanisms research (19 papers). Xiaoling Yang collaborates with scholars based in United States, China and South Korea. Xiaoling Yang's co-authors include Myriam Gorospe, Jennifer L. Martindale, Kotb Abdelmohsen, Ashish Lal, Isabel López de Silanes, Ming Zhan, Wengong Wang, Supriyo De, Hyeon Ho Kim and Subramanya Srikantan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Xiaoling Yang

86 papers receiving 8.3k citations

Hit Papers

LincRNA-p21 Suppresses Target mRNA Translation 2012 2026 2016 2021 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoling Yang United States 47 7.2k 3.6k 678 619 572 89 8.4k
Weibo Luo United States 37 4.2k 0.6× 3.3k 0.9× 568 0.8× 1.5k 2.5× 1.1k 2.0× 85 7.4k
Issam Ben‐Sahra United States 26 3.2k 0.4× 1.2k 0.3× 593 0.9× 991 1.6× 438 0.8× 48 4.8k
Christine Esau United States 29 5.9k 0.8× 5.5k 1.6× 817 1.2× 764 1.2× 382 0.7× 39 8.3k
Qiang Yu Singapore 55 6.0k 0.8× 1.9k 0.5× 302 0.4× 776 1.3× 1.9k 3.2× 139 8.4k
Søren Jensby Nielsen Denmark 35 5.6k 0.8× 823 0.2× 541 0.8× 273 0.4× 803 1.4× 62 6.9k
Stephen Hearn United States 34 4.6k 0.6× 1.6k 0.4× 1.8k 2.7× 1.1k 1.8× 943 1.6× 62 7.5k
Hyun Kook South Korea 41 3.7k 0.5× 808 0.2× 372 0.5× 592 1.0× 903 1.6× 119 5.4k
Peiqing Sun United States 41 3.6k 0.5× 991 0.3× 698 1.0× 668 1.1× 1.2k 2.2× 84 5.0k
Mukesh K. Jain United States 44 4.2k 0.6× 928 0.3× 622 0.9× 1.3k 2.1× 336 0.6× 74 6.3k

Countries citing papers authored by Xiaoling Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoling Yang. A scholar is included among the top collaborators of Xiaoling 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 Xiaoling Yang. Xiaoling 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.
Chen, Li‐Jun, Hongling Zhou, Baifeng Luan, et al.. (2024). Microstructural characteristics of multilayers and interfaces of Cr-coated Zircaloy-4 cladding based on elemental diffusion under high-temperature steam oxidation. Journal of Nuclear Materials. 599. 155113–155113. 3 indexed citations
2.
Ji, Eunbyul, Poonam R. Pandey, Jennifer L. Martindale, et al.. (2024). FUS-Mediated Inhibition of Myogenesis Elicited by Suppressing TNNT1 Production. Molecular and Cellular Biology. 44(9). 391–409.
3.
Herman, Allison B., Carlos Anerillas, Rachel Munk, et al.. (2021). Reduction of lamin B receptor levels by miR-340-5p disrupts chromatin, promotes cell senescence and enhances senolysis. Nucleic Acids Research. 49(13). 7389–7405. 18 indexed citations
5.
Deng, Yanfei, et al.. (2019). Partially Reprogrammed Induced Pluripotent Stem Cells Using MicroRNA Cluster miR-302s in Guangxi Bama Minipig Fibroblasts. Cellular Reprogramming. 21(5). 229–237. 5 indexed citations
6.
Li, Qin, et al.. (2018). [Predictive Value of Platelet to Lymphocyte Ratio and Prognostic Nutritional Index on Prognosis of Hepatocellular Carcinoma after Liver Resection].. PubMed. 49(4). 645–648. 1 indexed citations
7.
Panda, Amaresh C., Ioannis Grammatikakis, Kyoung Mi Kim, et al.. (2016). Identification of senescence-associated circular RNAs (SAC-RNAs) reveals senescence suppressor CircPVT1. Nucleic Acids Research. 45(7). 4021–4035. 201 indexed citations
8.
Noh, Ji Heon, Kyoung Mi Kim, Kotb Abdelmohsen, et al.. (2016). HuR and GRSF1 modulate the nuclear export and mitochondrial localization of the lncRNARMRP. Genes & Development. 30(10). 1224–1239. 183 indexed citations
9.
Yoon, Je‐Hyun, Myung Hyun Jo, Elizabeth J. White, et al.. (2015). AUF1 promotes let-7b loading on Argonaute 2. Genes & Development. 29(15). 1599–1604. 38 indexed citations
11.
Yang, Xiaoling, Yuan Li, Xiaohui Guo, et al.. (2013). Current situation of diet self-management in patients with type 2 diabetes: a multi-centre survey in China. 5(11). 666–669. 1 indexed citations
12.
Yoon, Je‐Hyun, Kotb Abdelmohsen, Jiyoung Kim, et al.. (2013). Scaffold function of long non-coding RNA HOTAIR in protein ubiquitination. Nature Communications. 4(1). 2939–2939. 367 indexed citations
13.
Lee, Eun Kyung, Hyeon Ho Kim, Yuki Kuwano, et al.. (2010). hnRNP C promotes APP translation by competing with FMRP for APP mRNA recruitment to P bodies. Nature Structural & Molecular Biology. 17(6). 732–739. 136 indexed citations
14.
Abdelmohsen, Kotb, Subramanya Srikantan, Xiaoling Yang, et al.. (2009). Ubiquitin‐mediated proteolysis of HuR by heat shock. The EMBO Journal. 28(9). 1271–1282. 136 indexed citations
15.
Kim, Hyeon Ho, Xiaoling Yang, Yuki Kuwano, & Myriam Gorospe. (2008). Modification at HuR(S242) alters HuR localization and proliferative influence. Cell Cycle. 7(21). 3371–3377. 59 indexed citations
16.
Pullmann, R, Hyeon Ho Kim, Kotb Abdelmohsen, et al.. (2007). Analysis of Turnover and Translation Regulatory RNA-Binding Protein Expression through Binding to Cognate mRNAs. Molecular and Cellular Biology. 27(18). 6265–6278. 173 indexed citations
17.
Abdelmohsen, Kotb, R Pullmann, Ashish Lal, et al.. (2007). Phosphorylation of HuR by Chk2 Regulates SIRT1 Expression. Molecular Cell. 25(4). 543–557. 454 indexed citations
18.
Lal, Ashish, Kotb Abdelmohsen, R Pullmann, et al.. (2006). Posttranscriptional Derepression of GADD45α by Genotoxic Stress. Molecular Cell. 22(1). 117–128. 79 indexed citations
19.
Wang, Wengong, Xiaoling Yang, Isabel López de Silanes, David Carling, & Myriam Gorospe. (2003). Increased AMP:ATP Ratio and AMP-activated Protein Kinase Activity during Cellular Senescence Linked to Reduced HuR Function. Journal of Biological Chemistry. 278(29). 27016–27023. 206 indexed citations
20.
Wang, Wengong, Jinshui Fan, Xiaoling Yang, et al.. (2002). AMP-Activated Kinase Regulates Cytoplasmic HuR. Molecular and Cellular Biology. 22(10). 3425–3436. 189 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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