Qingshui Wang

1.2k total citations
74 papers, 827 citations indexed

About

Qingshui Wang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Qingshui Wang has authored 74 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 20 papers in Cancer Research and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Qingshui Wang's work include RNA modifications and cancer (12 papers), Ferroptosis and cancer prognosis (10 papers) and Ubiquitin and proteasome pathways (8 papers). Qingshui Wang is often cited by papers focused on RNA modifications and cancer (12 papers), Ferroptosis and cancer prognosis (10 papers) and Ubiquitin and proteasome pathways (8 papers). Qingshui Wang collaborates with scholars based in China, Macao and Israel. Qingshui Wang's co-authors include Yao Lin, Yajie Wang, Hang Fai Kwok, Libin Guo, Chuan Liu, Suhuan Li, Xiaoqiong Tang, Dianping Tang, Jun Wang and Wei Lin and has published in prestigious journals such as The Science of The Total Environment, Cancer and Scientific Reports.

In The Last Decade

Qingshui Wang

66 papers receiving 814 citations

Peers

Qingshui Wang

ONCOL

PRM

IMMUN

Youhong Liu China

Roland Hubaux Canada

Amar Bennasroune France

Jette Bornholdt Denmark

Qiang Han China

Xiao Dong Zhao China

Hailin Ma China

Kanthida Kusonmano Thailand

Xiaowei Wei China

Youhong Liu China

Qingshui Wang

464 ×1.1

148 ×0.8

184 ×1.1

ONCOL

114 ×1.0

PRM

47 ×0.5

IMMUN

Citations per year, relative to Qingshui Wang Qingshui Wang (= 1×) peers Youhong Liu

Countries citing papers authored by Qingshui Wang

Since Specialization

Citations

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

Fields of papers citing papers by Qingshui Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingshui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qingshui Wang. A scholar is included among the top collaborators of Qingshui 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 Qingshui Wang. Qingshui 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, Feng, Yongmei Dai, Chenchen Tang, et al.. (2025). Elevated UBC9 expression and its oncogenic role in colorectal cancer progression and chemoresistance. Scientific Reports. 15(1). 9123–9123.

Yan, Ting, et al.. (2025). Integrative analysis of ubiquitination-related genes identifies HSPA1A as a critical regulator in colorectal cancer progression. Medical Oncology. 42(4). 123–123. 1 indexed citations

Xu, Chao, Shuyuan Li, Hong‐Yuan Chen, et al.. (2024). Integrative analysis of recurrence related gene signature and STC1 in colorectal cancer proliferation and metastasis. Journal of Cancer. 15(20). 6724–6739. 1 indexed citations

Ye, Yan, Xiuli Zhang, Chenyi Wang, et al.. (2024). DAPK enhances DDX20 protein stability via suppression of TRIM25-mediated ubiquitination-based DDX20 degradation. Cancer Cell International. 24(1). 382–382. 2 indexed citations

Wang, Qingshui, Ruiqiong Li, Simeng Wang, et al.. (2024). Assessing the role of programmed cell death signatures and related gene TOP2A in progression and prognostic prediction of clear cell renal cell carcinoma. Cancer Cell International. 24(1). 164–164. 6 indexed citations

Zou, Shumei, et al.. (2024). The prognosis, chemotherapy and immunotherapy efficacy of the SUMOylation pathway signature and the role of UBA2 in lung adenocarcinoma. Aging. 16(5). 4378–4395. 5 indexed citations

Huang, Rongfu, et al.. (2024). Comprehensive analysis of the metabolomics and transcriptomics uncovers the dysregulated network and potential biomarkers of Triple Negative Breast Cancer. Journal of Translational Medicine. 22(1). 1016–1016. 5 indexed citations

Sun, Yuqin, Wei Zhuang, Ran Wei, et al.. (2023). Gastric cancer peritoneal metastasis related signature predicts prognosis and sensitivity to immunotherapy in gastric cancer. Journal of Cellular and Molecular Medicine. 27(22). 3578–3590. 7 indexed citations

Zhang, Jiasheng, Junyu Lin, Sunwang Xu, et al.. (2023). Construction of a risk model based on N6-methyladenosine-related lncRNAs for predicting the prognosis of breast cancer. Journal of Biosciences. 48(3).

10.

Lin, You‐Yu, Yan Ye, Hongxia Liu, et al.. (2023). SFPQ promotes the proliferation, migration and invasion of hepatocellular carcinoma cells and is associated with poor prognosis. PubMed Central. 7 indexed citations

11.

Zhu, Youzhi, Jiasheng Zhang, Sunwang Xu, et al.. (2023). SENP3 promotes tumor progression and is a novel prognostic biomarker in triple-negative breast cancer. Frontiers in Oncology. 12. 4 indexed citations

12.

Li, Feng, Hui Cheng, Guodong Guo, et al.. (2022). Identification of UBE2I as a Novel Biomarker in ccRCC Based on a Large-Scale CRISPR-Cas9 Screening Database and Immunohistochemistry. Frontiers in Molecular Biosciences. 9. 813428–813428. 11 indexed citations

13.

Wang, Qingshui, et al.. (2021). Regulatory Non-coding RNAs for Death Associated Protein Kinase Family. Frontiers in Molecular Biosciences. 8. 649100–649100. 10 indexed citations

14.

Wang, Qingshui, Feng Li, Ke Li, et al.. (2019). Low level of Cyclin‐D1 correlates with worse prognosis of clear cell renal cell carcinoma patients. Cancer Medicine. 8(9). 4100–4109. 19 indexed citations

15.

Jin-gui, Zheng, et al.. (2019). Stomatal characteristics determine the negative air ions produced by plants under pulsed electrical field.. International Journal of Agriculture and Biology. 22(6). 1251–1257. 1 indexed citations

16.

Jin-gui, Zheng, et al.. (2017). Relationship Between Negative Air Ion Generation by Plants and Stomatal Characteristics Under Stimulation of Pulsed Electrical Field. Chinese Bulletin of Botany. 52(6). 744. 1 indexed citations

17.

Liu, Chuan, Ying Wang, Qingshui Wang, & Yajie Wang. (2012). The CHEK2 I157T Variant and Breast Cancer Susceptibility: A Systematic Review and Meta-analysis. Asian Pacific Journal of Cancer Prevention. 13(4). 1355–1360. 34 indexed citations

18.

Liu, Chuan, Qingshui Wang, & Yajie Wang. (2012). The CHEK2 I157T Variant and Colorectal Cancer Susceptibility: A Systematic Review and Meta-analysis. Asian Pacific Journal of Cancer Prevention. 13(5). 2051–2055. 60 indexed citations

19.

Fang, Changxun, et al.. (2011). Silicon and Its Uptaking Gene Lsi1 in Regulation of Rice UV-B Tolerance. ACTA AGRONOMICA SINICA. 37(6). 1005–1011. 10 indexed citations

20.

Luo, Li, et al.. (2009). Study on isoleucine requirement for juvenile grass carp,cenopharyngodon idellus. JOURNAL OF FISHERIES OF CHINA. 33(5). 813–822. 11 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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