Tingting Yan

5.3k total citations · 2 hit papers
105 papers, 3.4k citations indexed

About

Tingting Yan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Tingting Yan has authored 105 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 34 papers in Cancer Research and 25 papers in Oncology. Recurrent topics in Tingting Yan's work include Cancer-related molecular mechanisms research (15 papers), RNA modifications and cancer (11 papers) and MicroRNA in disease regulation (10 papers). Tingting Yan is often cited by papers focused on Cancer-related molecular mechanisms research (15 papers), RNA modifications and cancer (11 papers) and MicroRNA in disease regulation (10 papers). Tingting Yan collaborates with scholars based in China, Hong Kong and United States. Tingting Yan's co-authors include Qiwei Zhai, Xinjian Ge, Fang Zhang, Cheng Sun, Xianglin Shi, Jie Hong, Jing‐Yuan Fang, Chaoqin Shen, Xiaoqiang Zhu and Xianglong Tian and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Biomaterials.

In The Last Decade

Tingting Yan

100 papers receiving 3.4k citations

Hit Papers

SIRT1 Improves Insulin Sensitivity under Insulin-Resistan... 2007 2026 2013 2019 2007 2020 200 400 600

Peers

Tingting Yan
Susana Solá Portugal
Xue Bai China
Nicole Noren Hooten United States
Bruce R. Troen United States
Christine Miller United States
Jennifer Gallagher United Kingdom
Susana Solá Portugal
Tingting Yan
Citations per year, relative to Tingting Yan Tingting Yan (= 1×) peers Susana Solá

Countries citing papers authored by Tingting Yan

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Yan. A scholar is included among the top collaborators of Tingting Yan 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 Tingting Yan. Tingting Yan 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, Ziyuan, Tingting Yan, Qiang Zheng, et al.. (2025). Stem Cells from Human Exfoliated Deciduous Teeth-Derived Exosomes for the Treatment of Acute Liver Injury and Liver Fibrosis. ACS Applied Materials & Interfaces. 17(12). 17948–17964. 1 indexed citations
2.
Dong, Yanhong, Leiyu Shi, Kathy Chappell, et al.. (2025). Occupational Burnout in Nurses Is due to Long‐Term Work Stress Rather Than COVID ‐19 Pandemic Event. Journal of Advanced Nursing. 82(4). 3598–3616.
3.
Xia, Yangliu, Yang Zhang, Nana Yan, et al.. (2024). Intestinal stearoyl-coenzyme A desaturase-inhibition improves obesity-associated metabolic disorders. Acta Pharmaceutica Sinica B. 15(2). 892–908. 4 indexed citations
4.
Qi, Yangyang, Jinxia Wang, Yani Chen, et al.. (2024). Safety, Immunogenicity, and Effectiveness of Chinese-Made COVID-19 Vaccines in the Real World: An Interim Report of a Living Systematic Review. Vaccines. 12(7). 781–781. 1 indexed citations
5.
Yan, Tingting, et al.. (2024). Synthesis and biological evaluation of chrysin derivatives containing α-lipoic acid for the treatment of inflammatory bowel disease. Frontiers in Chemistry. 12. 1406051–1406051. 2 indexed citations
6.
Yan, Tingting, Carmen W.H. Chan, Ka Ming Chow, & Mingzi Li. (2022). Experiences and perception of character strengths among patients with breast cancer in China: a qualitative study. BMJ Open. 12(10). e061994–e061994. 5 indexed citations
7.
Li, Meng, et al.. (2022). Expression of matrix metalloproteinases and their association with clinical characteristics of solid tumors. Gene. 850. 146927–146927. 11 indexed citations
8.
Yan, Tingting, Carmen W.H. Chan, Ka Ming Chow, Wei Zheng, & Meng Sun. (2020). A systematic review of the effects of character strengths‐based intervention on the psychological well‐being of patients suffering from chronic illnesses. Journal of Advanced Nursing. 76(7). 1567–1580. 32 indexed citations
9.
Shen, Jie, Ling Yuan, Yang Yan, et al.. (2020). A novel device to capture circulating tumor cells: Quantification and molecular analysis in lung cancer patients. Journal of Biomaterials Applications. 35(1). 49–58. 2 indexed citations
11.
Yan, Tingting, Linlin Ren, Chaoqin Shen, et al.. (2018). miR-508 Defines the Stem-like/Mesenchymal Subtype in Colorectal Cancer. Cancer Research. 78(7). 1751–1765. 23 indexed citations
12.
Chen, Xingmiao, Binghua Zhou, Tingting Yan, et al.. (2018). Peroxynitrite enhances self-renewal, proliferation and neuronal differentiation of neural stem/progenitor cells through activating HIF-1α and Wnt/β-catenin signaling pathway. Free Radical Biology and Medicine. 117. 158–167. 39 indexed citations
13.
Du, Yueyao, Tingting Yan, Liheng Zhou, Wenjin Yin, & Jinsong Lu. (2018). A single-nucleotide polymorphism of the beta 2-adrenergic receptor gene can predict pathological complete response to taxane- and platinum-based neoadjuvant chemotherapy in breast cancer. Breast Cancer Targets and Therapy. Volume 10. 201–206. 4 indexed citations
14.
Shen, Chaoqin, Tingting Yan, Wei Liu, et al.. (2017). High Expression of FAM83B Predicts Poor Prognosis in Patients with Pancreatic Ductal Adenocarcinoma and Correlates with Cell Cycle and Cell Proliferation. Journal of Cancer. 8(16). 3154–3165. 25 indexed citations
15.
Liu, Xiaoyan, Zhenhui Lu, Ligang Wu, et al.. (2017). Assessment of high-sensitivity C-reactive protein tests for the diagnosis of hepatocellular carcinoma in patients with hepatitis B-associated liver cirrhosis. Oncology Letters. 13(5). 3457–3464. 20 indexed citations
16.
Zhu, Xiaoqiang, Xianglong Tian, Chenyang Yu, et al.. (2016). A long non-coding RNA signature to improve prognosis prediction of gastric cancer. Molecular Cancer. 15(1). 60–60. 141 indexed citations
17.
Yin, Rui‐Xing, et al.. (2015). GW26-e0113 Interactions of several single nucleotide polymorphisms and alcohol consumption on blood pressure levels. Journal of the American College of Cardiology. 66(16). C197–C197. 2 indexed citations
18.
Jiang, Yiwei, Wenjin Yin, Liheng Zhou, et al.. (2012). First Efficacy Results of Capecitabine with Anthracycline- and Taxane-Based Adjuvant Therapy in High-Risk Early Breast Cancer: A Meta-Analysis. PLoS ONE. 7(3). e32474–e32474. 16 indexed citations
19.
Jiang, Yiwei, Liheng Zhou, Tingting Yan, et al.. (2010). Association of sulfotransferase SULT1A1 with breast cancer risk: a meta-analysis of case-control studies with subgroups of ethnic and menopausal statue. Journal of Experimental & Clinical Cancer Research. 29(1). 101–101. 16 indexed citations
20.
Ge, Xinjian, Qihuang Jin, Fang Zhang, Tingting Yan, & Qiwei Zhai. (2008). PCAF Acetylates β-Catenin and Improves Its Stability. Molecular Biology of the Cell. 20(1). 419–427. 96 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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