Zhou Wang

4.2k total citations
136 papers, 2.7k citations indexed

About

Zhou Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Zhou Wang has authored 136 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 50 papers in Pulmonary and Respiratory Medicine and 44 papers in Oncology. Recurrent topics in Zhou Wang's work include Esophageal Cancer Research and Treatment (31 papers), Lung Cancer Treatments and Mutations (17 papers) and Gastric Cancer Management and Outcomes (12 papers). Zhou Wang is often cited by papers focused on Esophageal Cancer Research and Treatment (31 papers), Lung Cancer Treatments and Mutations (17 papers) and Gastric Cancer Management and Outcomes (12 papers). Zhou Wang collaborates with scholars based in China, United States and Macao. Zhou Wang's co-authors include Donald D. Brown, Fan‐ying Liu, Gang Chen, Xiangyan Liu, Shuai Wang, Anthony J. Saporita, Junkui Ai, Xiaoyan Cai, Feng Jiang and Zhi‐Gang Sun and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Zhou Wang

134 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhou Wang China 27 1.4k 781 642 486 474 136 2.7k
Jacek Pinski United States 31 1.1k 0.8× 1.1k 1.4× 727 1.1× 262 0.5× 415 0.9× 114 2.9k
Eriko Suzuki Japan 29 1.3k 1.0× 875 1.1× 650 1.0× 166 0.3× 348 0.7× 108 2.8k
Chulso Moon United States 30 1.9k 1.3× 505 0.6× 623 1.0× 329 0.7× 309 0.7× 47 2.5k
Elena A. Goncharova United States 35 1.4k 1.0× 1.4k 1.7× 427 0.7× 231 0.5× 406 0.9× 79 3.4k
Gerold Untergasser Austria 29 1.1k 0.8× 411 0.5× 527 0.8× 191 0.4× 370 0.8× 84 2.4k
Donald J. Vander Griend United States 31 1.5k 1.0× 1.2k 1.5× 773 1.2× 148 0.3× 596 1.3× 75 2.7k
Robert A. Sikes United States 31 1.6k 1.1× 1.3k 1.6× 956 1.5× 173 0.4× 608 1.3× 71 3.3k
Yixing Jiang United States 23 975 0.7× 366 0.5× 680 1.1× 217 0.4× 312 0.7× 81 1.9k
Kai Stoeber United Kingdom 33 2.3k 1.6× 488 0.6× 1.1k 1.6× 464 1.0× 746 1.6× 63 3.8k
Yu‐Shui Ma China 31 1.9k 1.4× 339 0.4× 619 1.0× 224 0.5× 1.3k 2.7× 117 3.0k

Countries citing papers authored by Zhou Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhou Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhou Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhou Wang. A scholar is included among the top collaborators of Zhou 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 Zhou Wang. Zhou 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.
Liu, Xiaoling, et al.. (2025). Machine Learning Model for Risk Stratification of Papillary Thyroid Carcinoma Based on Radiopathomics. Academic Radiology. 32(5). 2545–2553. 1 indexed citations
2.
Wang, Zhou, et al.. (2024). TRIB3 knockdown increases the sensitivity of clear cell renal cell carcinoma to sunitinib by inducing ferroptosis. Cellular Signalling. 124. 111421–111421. 10 indexed citations
3.
Chen, Wenjin, Wei Yang, Xiangmin Zhang, et al.. (2024). DEPDC1 as a metabolic target regulates glycolysis in renal cell carcinoma through AKT/mTOR/HIF1α pathway. Cell Death and Disease. 15(7). 533–533. 10 indexed citations
4.
5.
Wang, Zhou, et al.. (2023). Imaging findings, clinical and pathological characters of 28 patients with Xp11.2/TFE3 translocation renal cell carcinoma. Journal of Cancer Research and Therapeutics. 19(1). 131–140. 3 indexed citations
6.
Chen, Wenjin, Hao Cao, Jianwei Cao, et al.. (2022). Heterogeneity of tumor microenvironment is associated with clinical prognosis of non-clear cell renal cell carcinoma: a single-cell genomics study. Cell Death and Disease. 13(1). 50–50. 14 indexed citations
7.
Wu, Yingcheng, Yang Yang, Baorui Tao, et al.. (2020). Multi‐omics analysis reveals the functional transcription and potential translation of enhancers. International Journal of Cancer. 147(8). 2210–2224. 11 indexed citations
8.
Li, Bingjin, Guangxin Zhang, Ranji Cui, et al.. (2018). Integrated Oncogenomic Profiling of Copy Numbers and Gene Expression in Lung Adenocarcinomas without EGFR Mutations or ALK Fusion. Journal of Cancer. 9(6). 1096–1105. 6 indexed citations
9.
Xiao, Zhaohua, et al.. (2018). FOXM1: A potential indicator to predict lymphatic metastatic recurrence in stage IIA esophageal squamous cell carcinoma. Thoracic Cancer. 9(8). 997–1004. 15 indexed citations
10.
Wang, Zhou, Lingman Ma, Mengqi Su, et al.. (2018). Baicalin induces cellular senescence in human colon cancer cells via upregulation of DEPP and the activation of Ras/Raf/MEK/ERK signaling. Cell Death and Disease. 9(2). 217–217. 104 indexed citations
11.
Kong, Fanhua, et al.. (2017). Resveratrol raises in vitro anticancer effects of paclitaxel in NSCLC cell line A549 through COX-2 expression. Korean Journal of Physiology and Pharmacology. 21(5). 465–465. 18 indexed citations
12.
Wang, Zhou, Yejun Qin, Qiangxiu Wang, et al.. (2017). Association of fibroblast growth factor receptor 1 gene amplification with poor survival in patients with esophageal squamous cell carcinoma. Oncotarget. 8(51). 88857–88869. 8 indexed citations
13.
Yang, Xinghai, Lei Li, Quan Huang, et al.. (2015). Wnt signaling through Snail1 and Zeb1 regulates bone metastasis in lung cancer.. PubMed Central. 5(2). 748–55. 43 indexed citations
14.
Wang, Shuai, Mohd Javed Akhtar, & Zhou Wang. (2015). Anti-STMN1 therapy improves sensitivity to antimicrotubule drugs in esophageal squamous cell carcinoma. Tumor Biology. 36(10). 7797–7806. 30 indexed citations
15.
16.
Wang, Zhou, Zhijie Xu, Zhengchuan Niu, Benjia Liang, & Jun Niu. (2015). Epieriocalyxin A Induces Cell Apoptosis Through JNK and ERK1/2 Signaling Pathways in Colon Cancer Cells. Cell Biochemistry and Biophysics. 73(2). 559–564. 9 indexed citations
17.
Liu, Xiangyan, et al.. (2013). The relationship between KRAS gene mutations and HLA class I antigen downregulation in the metastasis of non-small cell lung cancer. Journal of International Medical Research. 41(5). 1473–1483. 12 indexed citations
18.
Song, Liang, Zhou Wang, Xiangyan Liu, Gang Chen, & Fan‐ying Liu. (2011). Expression of CCR7 in squamous cell carcinoma of the esophagus after esophagectomy:correlation with lymph node metastasis and prognosis. 27(6). 361–364. 1 indexed citations
19.
Song, Liang, Zhou Wang, Xiangyan Liu, Gang Chen, & Fan‐ying Liu. (2010). Investigation of the expression of MTA1 protein and its relationship to the prognosis in squamous cell carcinoma of the esophagus after esophagectomy. 26(5). 343–346. 1 indexed citations
20.
Chen, Gang, Zhou Wang, Xiangyan Liu, & Fan‐ying Liu. (2009). Adjuvant Radiotherapy After Modified Ivor-Lewis Esophagectomy: Can It Prevent Lymph Node Recurrence of the Mid-Thoracic Esophageal Carcinoma?. The Annals of Thoracic Surgery. 87(6). 1697–1702. 26 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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