Zhong Wang

4.4k total citations
34 papers, 591 citations indexed

About

Zhong Wang is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Zhong Wang has authored 34 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Oncology and 6 papers in Surgery. Recurrent topics in Zhong Wang's work include Cancer Cells and Metastasis (4 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Renal cell carcinoma treatment (2 papers). Zhong Wang is often cited by papers focused on Cancer Cells and Metastasis (4 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Renal cell carcinoma treatment (2 papers). Zhong Wang collaborates with scholars based in China, United States and France. Zhong Wang's co-authors include Sadie L. Marjani, Ghia Euskirchen, Vincent M. Bruno, Gavin Sherlock, M Snyder, Jeff Vance Martin, Shengrong Sun, Chenyuan Li, Shannon M. Hawkins and Si Sun and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Genome Research.

In The Last Decade

Zhong Wang

29 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhong Wang China 12 246 183 146 78 64 34 591
Yang Luan China 16 180 0.7× 77 0.4× 114 0.8× 82 1.1× 62 1.0× 50 680
Shunyao Liao China 11 267 1.1× 118 0.6× 110 0.8× 48 0.6× 37 0.6× 20 634
Chunyan He United States 15 191 0.8× 107 0.6× 92 0.6× 198 2.5× 37 0.6× 27 743
Noel Pabalan Canada 18 272 1.1× 64 0.3× 41 0.3× 118 1.5× 91 1.4× 57 934
Sara Jafarzadeh Iran 14 220 0.9× 364 2.0× 78 0.5× 90 1.2× 121 1.9× 26 843
Maureen J. Koslowski Germany 11 309 1.3× 47 0.3× 95 0.7× 66 0.8× 35 0.5× 12 734
Jiajia Xie China 12 314 1.3× 457 2.5× 118 0.8× 42 0.5× 100 1.6× 29 862
Laura Visconti Italy 9 176 0.7× 40 0.2× 110 0.8× 86 1.1× 26 0.4× 10 462
Brenda H. Welter United States 15 118 0.5× 282 1.5× 143 1.0× 49 0.6× 35 0.5× 24 710
Carolyn A. Brown United States 13 161 0.7× 152 0.8× 154 1.1× 93 1.2× 63 1.0× 30 753

Countries citing papers authored by Zhong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhong Wang. A scholar is included among the top collaborators of Zhong 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 Zhong Wang. Zhong Wang 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.
Zhou, Fang, Shichong Liao, Zhong Wang, et al.. (2025). Development and validation of a Hypoxia and Lactate Metabolism Prognostic Score (HLMPS) for breast cancer using machine learning. Translational Cancer Research. 14(7). 4399–4415.
2.
Song, Chao, et al.. (2025). Bioinformatics revealed biomarkers for diagnosis in kidney stones. Frontiers in Genetics. 16. 1542840–1542840. 1 indexed citations
3.
4.
Hecht, J. Randolph, Josep Tabernero, Aparna R. Parikh, et al.. (2023). STELLAR-303: A phase 3 study of XL092 in combination with atezolizumab versus regorafenib in patients with previously treated metastatic colorectal cancer (mCRC).. Journal of Clinical Oncology. 41(4_suppl). TPS267–TPS267. 4 indexed citations
5.
Song, Jun‐Long, et al.. (2023). Analysis of preoperative influential factors and construction of a predictive nomogram of difficult thyroidectomy. BMC Surgery. 23(1). 91–91. 2 indexed citations
6.
Yang, Yanbo, Yulian Zhang, Pengyu Chen, et al.. (2023). Integrative analysis of multi-omics data reveals a pseudouridine-related lncRNA signature for prediction of glioma prognosis and chemoradiotherapy sensitivity. Computers in Biology and Medicine. 166. 107428–107428. 5 indexed citations
7.
Westhoff, Carolyn, Hua Guo, Zhong Wang, et al.. (2022). The progesterone-receptor modulator, ulipristal acetate, drastically lowers breast cell proliferation. Breast Cancer Research and Treatment. 192(2). 321–329. 10 indexed citations
8.
9.
Li, Chenyuan, et al.. (2022). PSMD12 promotes the activation of the MEK-ERK pathway by upregulating KIF15 to promote the malignant progression of liver cancer. Cancer Biology & Therapy. 23(1). 1–11. 7 indexed citations
10.
Li, Chenyuan, Qi Wu, Zhiyu Li, et al.. (2021). Exosomal microRNAs in cancer-related sarcopenia: Tumor-derived exosomal microRNAs in muscle atrophy. Experimental Biology and Medicine. 246(10). 1156–1166. 8 indexed citations
11.
Li, Zhiyu, Chenyuan Li, Qi Wu, et al.. (2021). MEDAG enhances breast cancer progression and reduces epirubicin sensitivity through the AKT/AMPK/mTOR pathway. Cell Death and Disease. 12(1). 97–97. 21 indexed citations
12.
Chen, Yinying, Wei Yang, Qilong Chen, et al.. (2021). Prediction of hepatocellular carcinoma risk in patients with chronic liver disease from dynamic modular networks. Journal of Translational Medicine. 19(1). 122–122. 1 indexed citations
13.
Wang, Zhong, Xiang Gao, Miao He, Xiaochun Ma, & Renyu Ding. (2021). Understanding COVID-19-associated coagulopathy: From PIC to SIC or DIC. SHILAP Revista de lepidopterología. 1(1). 35–41. 7 indexed citations
14.
Wang, Zhong, Zhanyong Zhu, Chenyuan Li, et al.. (2020). NMIIA promotes tumorigenesis and prevents chemosensitivity in colorectal cancer by activating AMPK/mTOR pathway. Experimental Cell Research. 398(1). 112387–112387. 14 indexed citations
15.
Wang, Xiyin, et al.. (2016). Deletion of Arid1a in Reproductive Tract Mesenchymal Cells Reduces Fertility in Female Mice1. Biology of Reproduction. 94(4). 93–93. 12 indexed citations
16.
Wang, Zhong & Qianxue Chen. (2016). β-catenin knockdown inhibits the proliferation of human glioma cells in vitro and in vivo. Experimental and Therapeutic Medicine. 11(3). 1059–1064. 5 indexed citations
17.
Kim, Tae Hoon, Jung‐Yoon Yoo, Zhong Wang, et al.. (2015). ARID1A Is Essential for Endometrial Function during Early Pregnancy. PLoS Genetics. 11(9). e1005537–e1005537. 67 indexed citations
18.
Chen, Qi, Zhikang Cai, Yanbo Chen, et al.. (2015). Poly r(C) Binding Protein-1 is Central to Maintenance of Cancer Stem Cells in Prostate Cancer Cells. Cellular Physiology and Biochemistry. 35(3). 1052–1061. 31 indexed citations
19.
Wu, Rongling, Chunfa Tong, Zhong Wang, et al.. (2011). A conceptual framework for pharmacodynamic genome-wide association studies in pharmacogenomics. Drug Discovery Today. 16(19-20). 884–890. 16 indexed citations
20.
Ren, Lili, Richard Gonzalez, Jin Xu, et al.. (2010). Prevalence of human coronaviruses in adults with acute respiratory tract infections in Beijing, China. Journal of Medical Virology. 83(2). 291–297. 60 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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