Ting Yang

2.0k total citations
47 papers, 1.5k citations indexed

About

Ting Yang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ting Yang has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 17 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Ting Yang's work include Cancer-related molecular mechanisms research (10 papers), Circular RNAs in diseases (7 papers) and MicroRNA in disease regulation (6 papers). Ting Yang is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), Circular RNAs in diseases (7 papers) and MicroRNA in disease regulation (6 papers). Ting Yang collaborates with scholars based in China, United States and France. Ting Yang's co-authors include Rochelle Buffenstein, James Mele, Yael H. Edrey, Feifei Xu, V. Pragathi Masamsetti, Arlan Richardson, Adam B. Salmon, Walter F. Ward, Asish R. Chaudhuri and Bertrand Friguet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Ting Yang

47 papers receiving 1.5k citations

Peers

Ting Yang
Andrej Podlutsky United States
Edward Owusu-Ansah United States
Ahmad R. Heydari United States
Yi-Zhong Gu United States
Ingrid Saarloos Netherlands
Yifan Lin China
Andrej Podlutsky United States
Ting Yang
Citations per year, relative to Ting Yang Ting Yang (= 1×) peers Andrej Podlutsky

Countries citing papers authored by Ting Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ting Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Yang. A scholar is included among the top collaborators of Ting 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 Ting Yang. Ting 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, Junjun, Jie Dai, Ting Yang, et al.. (2020). A combinatorial strategy for overcoming primary and acquired resistance of MEK inhibition in colorectal cancer. Experimental Cell Research. 393(1). 112060–112060. 7 indexed citations
2.
Yang, Ting, Pei-Cong Shi, Man-Ru Liu, et al.. (2020). Long noncoding RNA MAPKAPK5-AS1 promotes colorectal cancer progression by cis-regulating the nearby gene MK5 and acting as a let-7f-1-3p sponge. Journal of Experimental & Clinical Cancer Research. 39(1). 139–139. 46 indexed citations
3.
Yang, Ting, Qi Zhang, Huifang Sun, et al.. (2020). Generation of induced pluripotent stem cell line (ZZUi0018-A ) from a patient with spinocerebellar ataxia type 6. Stem Cell Research. 44. 101777–101777. 13 indexed citations
4.
Zhao, Juan, Ting Yang, Jing Ji, et al.. (2020). RHPN1-AS1 promotes cell proliferation and migration via miR-665/Akt3 in ovarian cancer. Cancer Gene Therapy. 28(1-2). 33–41. 22 indexed citations
5.
Zhao, Juan, Ting Yang, & Long Li. (2020). <p>LncRNA FOXP4-AS1 Is Involved in Cervical Cancer Progression via Regulating miR-136-5p/CBX4 Axis</p>. OncoTargets and Therapy. Volume 13. 2347–2355. 44 indexed citations
6.
Yang, Yuhan, Ling Yang, Sheng Jiang, et al.. (2020). HMGB1 mediates lipopolysaccharide-induced inflammation via interacting with GPX4 in colon cancer cells. Cancer Cell International. 20(1). 205–205. 36 indexed citations
7.
Wang, Wei, Liang Ge, Xiaojuan Xu, et al.. (2019). LncRNA NEAT1 promotes endometrial cancer cell proliferation, migration and invasion by regulating the miR-144-3p/EZH2 axis. Radiology and Oncology. 53(4). 434–442. 57 indexed citations
8.
Yang, Ting, et al.. (2019). Experimental study on the co-expression of double genes AdvCD40L-IRES2-ICOSL in mouse breast cancer model. European Journal of Gynaecological Oncology. 40(3). 389–393. 1 indexed citations
9.
Yang, Xiaofeng, Li Zhang, Juan Zhao, et al.. (2019). Polymorphic variants conferring genetic risk to cervical lesions support GSTs as important associated loci. Medicine. 98(41). e17487–e17487. 8 indexed citations
10.
Yang, Ting, Yang‐Wuyue Liu, Li Zhao, et al.. (2017). Metabotropic glutamate receptor 5 deficiency inhibits neutrophil infiltration after traumatic brain injury in mice. Scientific Reports. 7(1). 9998–9998. 25 indexed citations
11.
Yang, Ting, Feifei Xu, Yuan Sheng, Wen Zhang, & Yun Chen. (2016). A targeted proteomics approach to the quantitative analysis of ERK/Bcl-2-mediated anti-apoptosis and multi-drug resistance in breast cancer. Analytical and Bioanalytical Chemistry. 408(26). 7491–7503. 38 indexed citations
12.
Chen, Zhiqiang, Xixian Ma, Ming Yang, et al.. (2015). Comparison of Genetic Variants in Cancer-Related Genes between Chinese Hui and Han Populations. PLoS ONE. 10(12). e0145170–e0145170. 3 indexed citations
13.
Xu, Feifei, Ting Yang, Danjun Fang, Qingqing Xu, & Yun Chen. (2014). An investigation of heat shock protein 27 and P-glycoprotein mediated multi-drug resistance in breast cancer using liquid chromatography-tandem mass spectrometry-based targeted proteomics. Journal of Proteomics. 108. 188–197. 27 indexed citations
14.
Cui, Chengxu, Chang Shu, Junbao Liu, et al.. (2014). XELIRI compared with FOLFIRI as a second-line treatment in patients with metastatic colorectal cancer. Oncology Letters. 8(4). 1864–1872. 4 indexed citations
15.
Duan, Xiaohong, et al.. (2012). Odontoblast-like MDPC-23 cells function as odontoclasts with RANKL/M-CSF induction. Archives of Oral Biology. 58(3). 272–278. 9 indexed citations
16.
Huo, Na, Feifei Li, Yang Xue, et al.. (2010). Osteogenic role of endosomal chloride channels in MC3T3-E1 cells. Molecular and Cellular Biochemistry. 342(1-2). 191–199. 17 indexed citations
17.
Mao, Yong, Bin Zhang, Tao Wang, et al.. (2010). Chloride channel ClC‐3 promotion of osteogenic differentiation through Runx2. Journal of Cellular Biochemistry. 111(1). 49–58. 26 indexed citations
18.
Pérez, Viviana, Rochelle Buffenstein, V. Pragathi Masamsetti, et al.. (2009). Protein stability and resistance to oxidative stress are determinants of longevity in the longest-living rodent, the naked mole-rat. Proceedings of the National Academy of Sciences. 106(9). 3059–3064. 331 indexed citations
19.
Duan, Xiaohong, Yong Mao, Ting Yang, et al.. (2009). ClC-5 regulates dentin development through TGF-β1 pathway. Archives of Oral Biology. 54(12). 1118–1124. 17 indexed citations
20.
Lambert, Adrian J., Julie A. Buckingham, Ting Yang, et al.. (2007). Low rates of hydrogen peroxide production by isolated heart mitochondria associate with long maximum lifespan in vertebrate homeotherms. Aging Cell. 6(5). 607–618. 206 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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