Ting Qu

619 total citations
25 papers, 500 citations indexed

About

Ting Qu is a scholar working on Molecular Biology, Immunology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ting Qu has authored 25 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Immunology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ting Qu's work include Reproductive System and Pregnancy (7 papers), Reproductive Biology and Fertility (4 papers) and Estrogen and related hormone effects (3 papers). Ting Qu is often cited by papers focused on Reproductive System and Pregnancy (7 papers), Reproductive Biology and Fertility (4 papers) and Estrogen and related hormone effects (3 papers). Ting Qu collaborates with scholars based in China, United States and Germany. Ting Qu's co-authors include Kimio Sugaya, Hari Manev, Tolga Uz, Dongzhi Yuan, Linlin Yu, Guang Shi, Yan Chen, Yanping Li, Ke Ma and Konrad Beyreuther and has published in prestigious journals such as Scientific Reports, European Journal of Pharmacology and Journal of Cellular Physiology.

In The Last Decade

Ting Qu

23 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting Qu China 12 233 89 86 73 58 25 500
Hongying Sha China 13 443 1.9× 127 1.4× 115 1.3× 117 1.6× 43 0.7× 30 748
Erpo Tian China 15 465 2.0× 75 0.8× 97 1.1× 119 1.6× 18 0.3× 26 868
Mohammad Ghasem Golmohammadi Iran 14 170 0.7× 38 0.4× 81 0.9× 162 2.2× 12 0.2× 35 535
Yong-Seok Kim South Korea 13 351 1.5× 38 0.4× 144 1.7× 86 1.2× 22 0.4× 21 658
Dario Brunetti Italy 18 629 2.7× 125 1.4× 122 1.4× 45 0.6× 14 0.2× 27 897
Xuechao Feng China 19 640 2.7× 74 0.8× 82 1.0× 11 0.2× 39 0.7× 41 961
Marina Hermes Germany 14 206 0.9× 65 0.7× 71 0.8× 27 0.4× 20 0.3× 17 531
Gina La Sala Italy 13 366 1.6× 23 0.3× 47 0.5× 26 0.4× 31 0.5× 29 579
Vlasta Korenková Czechia 15 312 1.3× 51 0.6× 62 0.7× 15 0.2× 15 0.3× 24 645
Victor Venegas United States 9 329 1.4× 127 1.4× 77 0.9× 37 0.5× 15 0.3× 9 657

Countries citing papers authored by Ting Qu

Since Specialization
Citations

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

Fields of papers citing papers by Ting Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Qu. A scholar is included among the top collaborators of Ting 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 Ting Qu. Ting 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.
Yu, Hailong, Ying Chen, Ting Qu, et al.. (2025). α-Cyperone safeguards against cerebral ischaemia‒reperfusion injury through the activation of the Nrf2 signalling pathway. European Journal of Pharmacology. 1002. 177842–177842.
2.
Yu, Fen, Ting Qu, Meng Zhao, et al.. (2024). Shift work, thyroid function and liver function among subway workers. Occupational Medicine. 74(9). 668–675.
3.
Guo, Shuqing, Ting Qu, Lü Xing, et al.. (2023). Mapping of major QTL and candidate gene analysis for hull colour in foxtail millet (Setaria italica (L.) P. Beauv.). BMC Genomics. 24(1). 458–458. 8 indexed citations
4.
Maldonado, Martín, Lüjun Yang, Mazhar Ali Raja, et al.. (2021). The consequences of a high-calorie diet background before calorie restriction on skeletal muscles in a mouse model. Aging. 13(12). 16834–16858. 2 indexed citations
5.
Liu, Jing, Ting Qu, Zhiyi Li, et al.. (2021). Serum kisspeptin levels in polycystic ovary syndrome: A meta‐analysis. Journal of obstetrics and gynaecology research. 47(6). 2157–2165. 16 indexed citations
6.
Han, Tingting, et al.. (2020). Host microRNAs regulate expression of hepatitis B virus genes during transmission from patients’ sperm to embryo. Reproductive Toxicology. 100. 1–6. 8 indexed citations
7.
Zhang, Xinyue, Yue Sun, Xin Dong, et al.. (2019). Mitochondrial DNA and genomic DNA ratio in embryo culture medium is not a reliable predictor for in vitro fertilization outcome. Scientific Reports. 9(1). 5378–5378. 6 indexed citations
8.
Qu, Ting, Meiling Yan, Wen‐Jun Shen, et al.. (2019). Predictive serum markers for unexplained infertility in child‐bearing aged women. American Journal of Reproductive Immunology. 83(1). e13194–e13194. 9 indexed citations
9.
Li, Penghao, Yaxin Yao, Tianhua Huang, et al.. (2018). Preimplantation Genetic Screening with Spent Culture Medium/Blastocoel Fluid for in Vitro Fertilization. Scientific Reports. 8(1). 9275–9275. 45 indexed citations
10.
Yu, Linlin, Ting Qu, Dongzhi Yuan, et al.. (2017). The Changes of Cytoskeletal Proteins Induced by the Fast Effect of Estrogen in Mouse Blastocysts and Its Roles in Implantation. Reproductive Sciences. 24(12). 1639–1646. 9 indexed citations
11.
Qu, Ting, et al.. (2016). Identification of potential biomarkers and drugs for papillary thyroid cancer based on gene expression profile analysis. Molecular Medicine Reports. 14(6). 5041–5048. 31 indexed citations
12.
Han, Tingting, Xiaofang Tan, Qing‐Dong Xie, et al.. (2016). Cpg Methylation Participates in Regulation of Hepatitis B Virus Gene Expression in Host Sperm and Sperm-Derived Embryos. Epigenomics. 9(2). 123–125. 11 indexed citations
13.
Yu, Linlin, Ting Qu, Dongzhi Yuan, et al.. (2015). GPR30 Mediates the Fast Effect of Estrogen on Mouse Blastocyst and its Role in Implantation. Reproductive Sciences. 22(10). 1312–1320. 9 indexed citations
14.
Qu, Ting, Linlin Yu, Sheng Zhang, et al.. (2015). Relocalisation and activation of integrins induced rapidly by oestrogen via G-protein-coupled receptor 30 in mouse blastocysts. Reproduction Fertility and Development. 28(11). 1679–1685. 8 indexed citations
15.
Yuan, Dongzhi, Linlin Yu, Ting Qu, et al.. (2014). Identification and Characterization of Progesterone- and Estrogen-Regulated MicroRNAs in Mouse Endometrial Epithelial Cells. Reproductive Sciences. 22(2). 223–234. 25 indexed citations
16.
Ma, Ke, et al.. (2011). Generation of neural stem cell-like cells from bone marrow-derived human mesenchymal stem cells. Neurological Research. 33(10). 1083–1093. 59 indexed citations
17.
Kwak, Young-Don, Ting Qu, Xiaofeng Dong, et al.. (2006). Amyloid Precursor Protein Regulates Differentiation of Human Neural Stem Cells. Stem Cells and Development. 15(3). 381–389. 73 indexed citations
18.
Qu, Ting, et al.. (2004). Bromodeoxyuridine increases multipotency of human bone marrow-derived stem cells. Restorative Neurology and Neuroscience. 22(6). 459–468. 26 indexed citations
19.
Qu, Ting. (2000). Inflammatory 5-LOX mRNA and protein are increased in brain of aging rats. Neurobiology of Aging. 21(5). 647–652. 47 indexed citations
20.
Manev, Hari, Tolga Uz, & Ting Qu. (1998). Early Upregulation of Hippocampal 5-lipoxygenase Following Systemic Administration of Kainate to Rats. Restorative Neurology and Neuroscience. 12(2-3). 81–85. 32 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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