Qingqing Wang

425 total citations
27 papers, 296 citations indexed

About

Qingqing Wang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Qingqing Wang has authored 27 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 8 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Qingqing Wang's work include Ferroptosis and cancer prognosis (7 papers), Cancer-related molecular mechanisms research (3 papers) and RNA modifications and cancer (3 papers). Qingqing Wang is often cited by papers focused on Ferroptosis and cancer prognosis (7 papers), Cancer-related molecular mechanisms research (3 papers) and RNA modifications and cancer (3 papers). Qingqing Wang collaborates with scholars based in China, United States and Netherlands. Qingqing Wang's co-authors include Zhuowei Hu, Wenfeng Cai, Ziyan Wang, Guo‐Chang Fan, Xiaowei Zhang, Jun Yan, Su Mi, Merry L. Lindsey, Huimin Yan and Yonggang Ma and has published in prestigious journals such as PLoS ONE, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Qingqing Wang

23 papers receiving 294 citations

Peers

Qingqing Wang

CCM

PRM

ONCOL

Saiyang Xie China

Lun Tan China

Dongsheng Li China

Hongwei Yang China

Ku-Geng Huo Canada

Qingfu Zeng China

Fenglei Zhang China

Yuchen Jiang China

Fahmida Rasha United States

Saiyang Xie China

Qingqing Wang

185 ×1.7

92 ×1.3

CCM

37 ×0.8

PRM

34 ×0.9

23 ×0.6

ONCOL

Citations per year, relative to Qingqing Wang Qingqing Wang (= 1×) peers Saiyang Xie

Countries citing papers authored by Qingqing Wang

Since Specialization

Citations

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

Fields of papers citing papers by Qingqing Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingqing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qingqing Wang. A scholar is included among the top collaborators of Qingqing Wang 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 Qingqing Wang. Qingqing Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Li, Bang, Liang Feng, Ziyang Gao, et al.. (2025). Co-assembled polypeptides-adsorbing bridge molecules to enhance macrophage efferocytosis for the resolution of periodontitis inflammation. Acta Biomaterialia. 205. 601–615.

Wang, Qingqing, et al.. (2024). Evolving therapeutics and ensuing cardiotoxicities in triple-negative breast cancer. Cancer Treatment Reviews. 130. 102819–102819. 4 indexed citations

Yang, Lei, et al.. (2024). Multi-omics analysis reveals the unique landscape of DLD in the breast cancer tumor microenvironment and its implications for immune-related prognosis. Computational and Structural Biotechnology Journal. 23. 1201–1213. 3 indexed citations

Lu, Bing, et al.. (2024). SCARB2 associates with tumor-infiltrating neutrophils and predicts poor prognosis in breast cancer. Breast Cancer Research and Treatment. 207(1). 15–24. 2 indexed citations

Zhao, Bin, et al.. (2023). EFHD1 expression is correlated with tumor-infiltrating neutrophils and predicts prognosis in gastric cancer. Heliyon. 9(10). e21062–e21062. 3 indexed citations

Wang, Shanshan, et al.. (2023). Machine learning- and WGCNA-mediated double analysis based on genes associated with disulfidptosis, cuproptosis and ferroptosis for the construction and validation of the prognostic model for breast cancer. Journal of Cancer Research and Clinical Oncology. 149(18). 16511–16523. 11 indexed citations

Zhang, Jian, et al.. (2023). Triple combination of HAIC-FO plus tyrosine kinase inhibitors and immune checkpoint inhibitors for advanced hepatocellular carcinoma: A systematic review and meta-analysis. PLoS ONE. 18(10). e0290644–e0290644. 4 indexed citations

Kong, Qing, et al.. (2023). Clinical characteristics and establishment of a 2-year-OS predictive model of EGFR mutation-positive patients with pleural invasion of lung adenocarcinoma. Medicine. 102(26). e34184–e34184.

Wang, Shanshan, et al.. (2022). Developing and validating a survival prediction model based on blood exosomal ceRNA network in patients with PAAD. BMC Medical Genomics. 15(1). 260–260.

10.

Wang, Qingqing, et al.. (2021). Centromere protein N may be a novel malignant prognostic biomarker for hepatocellular carcinoma. PeerJ. 9. e11342–e11342. 13 indexed citations

11.

Li, Baihui, Ziqi Huang, Wenwen Yu, et al.. (2021). Molecular subtypes based on CNVs related gene signatures identify candidate prognostic biomarkers in lung adenocarcinoma. Neoplasia. 23(7). 704–717. 11 indexed citations

12.

Wang, Qingqing, et al.. (2020). Characteristics of mass lesion presentation of primary angiitis of the central nervous system: A single center 11-year retrospective case-series study. Clinical Neurology and Neurosurgery. 199. 106297–106297. 5 indexed citations

13.

Yan, Su, Kang Zhao, Xiaoqian Chen, et al.. (2019). Analysis of technical difficulties of single-port and reduced-port laparoscopic radical gastrectomy for gastric cancer. Zhōnghuá xiāohuà wàikē zázhì/Zhonghua xiaohua waike zazhi. 18(3). 222–228. 2 indexed citations

14.

Liu, Can, et al.. (2019). High RhCG expression predicts poor survival and promotes migration and proliferation of gastric cancer via keeping intracellular alkaline. Experimental Cell Research. 386(2). 111740–111740. 3 indexed citations

15.

Liu, Xiaobing, Yaxing Hao, Qian Liu, et al.. (2018). Cyanidin Curtails Renal Cell Carcinoma Tumorigenesis. Cellular Physiology and Biochemistry. 46(6). 2517–2531. 22 indexed citations

16.

Wang, Qingqing, Juan Yao, Qin Jin, et al.. (2017). LAMP1 expression is associated with poor prognosis in breast cancer. Oncology Letters. 14(4). 4729–4735. 28 indexed citations

17.

Yang, Zhenxing, Tao Zhou, Bishao Sun, et al.. (2017). PDE1A polymorphism contributes to the susceptibility of nephrolithiasis. BMC Genomics. 18(1). 982–982. 3 indexed citations

18.

Zang, Tianzhu, Daniel Tamae, Clementina Mesaros, et al.. (2016). Simultaneous quantitation of nine hydroxy-androgens and their conjugates in human serum by stable isotope dilution liquid chromatography electrospray ionization tandem mass spectrometry. The Journal of Steroid Biochemistry and Molecular Biology. 165(Pt B). 342–355. 24 indexed citations

19.

Zhang, Han, Hao Cheng, Qingqing Wang, et al.. (2015). An advanced fragment analysis-based individualized subtype classification of pediatric acute lymphoblastic leukemia. Scientific Reports. 5(1). 12435–12435. 11 indexed citations

20.

Ma, Yonggang, Xiaowei Zhang, Su Mi, et al.. (2012). Toll-Like Receptor (TLR) 2 and TLR4 Differentially Regulate Doxorubicin Induced Cardiomyopathy in Mice. PLoS ONE. 7(7). e40763–e40763. 93 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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