Hao Zhou

2.4k total citations
81 papers, 1.4k citations indexed

About

Hao Zhou is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Hao Zhou has authored 81 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 29 papers in Plant Science and 24 papers in Cancer Research. Recurrent topics in Hao Zhou's work include Genetic Mapping and Diversity in Plants and Animals (17 papers), Cancer-related molecular mechanisms research (17 papers) and Rice Cultivation and Yield Improvement (13 papers). Hao Zhou is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (17 papers), Cancer-related molecular mechanisms research (17 papers) and Rice Cultivation and Yield Improvement (13 papers). Hao Zhou collaborates with scholars based in China, United States and Denmark. Hao Zhou's co-authors include Yuqing He, Duo Xia, Xiaoyuan Chu, Yingru Zhi, Rui Wang, Pingbo Li, Bian Wu, Guanjun Gao, Qinglu Zhang and Jinghua Xiao and has published in prestigious journals such as Nature Communications, PLoS ONE and Circulation Research.

In The Last Decade

Hao Zhou

75 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Zhou China 18 770 548 335 278 104 81 1.4k
Lan Shen China 31 1.7k 2.3× 714 1.3× 692 2.1× 333 1.2× 182 1.8× 82 2.6k
Junmin Wang China 19 683 0.9× 369 0.7× 152 0.5× 235 0.8× 37 0.4× 69 1.2k
Caiguo Zhang United States 24 1.3k 1.7× 404 0.7× 401 1.2× 53 0.2× 148 1.4× 39 2.0k
Li‐Chun Huang China 25 1.0k 1.3× 805 1.5× 157 0.5× 276 1.0× 279 2.7× 68 1.9k
Di Wang China 20 974 1.3× 499 0.9× 389 1.2× 376 1.4× 17 0.2× 94 1.7k
Gerben Schaaf Netherlands 15 474 0.6× 171 0.3× 154 0.5× 53 0.2× 42 0.4× 26 877
Letizia Pitto Italy 26 1.4k 1.8× 687 1.3× 414 1.2× 82 0.3× 19 0.2× 67 1.9k
Aiping Zheng China 21 895 1.2× 806 1.5× 135 0.4× 231 0.8× 21 0.2× 72 1.7k

Countries citing papers authored by Hao Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Hao Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Zhou. A scholar is included among the top collaborators of Hao Zhou 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 Hao Zhou. Hao Zhou 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.
Xu, Peizhou, Qinglu Zhang, Zhaoyang Cheng, et al.. (2025). Genome‐Wide Association Analyses Reveal the Genetic Basis of EMS Mutagenesis Efficiency in Rice. Advanced Science. 13(8). e17647–e17647.
2.
Liu, Jiuxiang, et al.. (2024). Baicalin inhibits IL-1β-induced ferroptosis in human osteoarthritis chondrocytes by activating Nrf-2 signaling pathway. Journal of Orthopaedic Surgery and Research. 19(1). 23–23. 15 indexed citations
3.
Zheng, Yuanyuan, Pingbo Li, Hong Ye, et al.. (2024). Dissection and validation of quantitative trait loci (QTLs) conferring grain size and grain weight in rice. Euphytica. 220(3). 2 indexed citations
4.
Ye, Bozhi, Xue Han, Wu Luo, et al.. (2024). USP25 ameliorates vascular remodeling by deubiquitinating FOXO3 and promoting autophagic degradation of FOXO3. Acta Pharmaceutica Sinica B. 15(3). 1643–1658.
6.
Deng, Yang, Jia‐Peng Li, Yingjie Zhang, et al.. (2023). NUF2 Promotes Breast Cancer Development as a New Tumor Stem Cell Indicator. International Journal of Molecular Sciences. 24(4). 4226–4226. 11 indexed citations
7.
Zhou, Hao, et al.. (2023). Prognostic significance of SH2D5 expression in lung adenocarcinoma and its relation to immune cell infiltration. PeerJ. 11. e15238–e15238. 3 indexed citations
8.
Ye, Bozhi, Hao Zhou, Wu Luo, et al.. (2023). USP25 Ameliorates Pathological Cardiac Hypertrophy by Stabilizing SERCA2a in Cardiomyocytes. Circulation Research. 132(4). 465–480. 76 indexed citations
9.
Xu, Peizhou, Asif Ali, Hongyu Zhang, et al.. (2022). EARLY MORNING FLOWERING1 (EMF1) regulates the floret opening time by mediating lodicule cell wall formation in rice. Plant Biotechnology Journal. 20(8). 1441–1443. 17 indexed citations
10.
Liu, Xiaorong, Hairong Wang, Hao Zhou, et al.. (2022). Proteomic and Phosphoproteomic Analyses Reveal a Complex Network Regulating Pollen Abortion and Potential Candidate Proteins in TCMS Wheat. International Journal of Molecular Sciences. 23(12). 6428–6428. 6 indexed citations
11.
Wang, Jinjie, et al.. (2022). PRKCB is relevant to prognosis of lung adenocarcinoma through methylation and immune infiltration. Thoracic Cancer. 13(12). 1837–1849. 9 indexed citations
12.
Zhou, Hao, et al.. (2022). Molecular typing and prognostic model of lung adenocarcinoma based on cuprotosis-related lncRNAs. Journal of Thoracic Disease. 14(12). 4828–4845. 4 indexed citations
13.
Li, Qinghua, Long Chen, Gang Zhao, et al.. (2021). Genome-wide identification and expression analysis of the NCED family in cotton (Gossypium hirsutum L.). PLoS ONE. 16(2). e0246021–e0246021. 23 indexed citations
14.
Zhou, Hao, Jiajia Liu, Wei Sun, et al.. (2020). Differences in small noncoding RNAs profile between bull X and Y sperm. PeerJ. 8. e9822–e9822. 8 indexed citations
15.
Yang, Pan, Hui Liu, Hao Zhou, et al.. (2019). Knockdown of the aminopeptidase N genes decreases susceptibility of Chilo suppressalis larvae to Cry1Ab/Cry1Ac and Cry1Ca. Pesticide Biochemistry and Physiology. 162. 36–42. 14 indexed citations
16.
Wang, Yong, et al.. (2018). Evaluation of Cry1Ac and Cry2Aa Toxin Binding to Two Important Beneficial Cotton Field Insects, Harmonia axyridis and Orius similis. Journal of Agricultural and Food Chemistry. 66(33). 8698–8702. 4 indexed citations
17.
Worku, Tesfaye, Kai Wang, Duncan Ayers, et al.. (2018). Regulatory roles of ephrinA5 and its novel signaling pathway in mouse primary granulosa cell apoptosis and proliferation. Cell Cycle. 17(7). 892–902. 16 indexed citations
18.
Wang, Ting, Hao Zhou, Bing Feng, et al.. (2018). A Novel Aurora-A Inhibitor (MLN8237) Synergistically Enhances the Antitumor Activity of Sorafenib in Hepatocellular Carcinoma. Molecular Therapy — Nucleic Acids. 13. 176–188. 26 indexed citations
19.
Niu, Lin, Hui Liu, Hao Zhou, et al.. (2017). Transgenic Bt cotton expressing Cry1Ac/Cry2Ab or Cry1Ac/EPSPS does not affect the plant bug Adelphocoris suturalis or the pollinating beetle Haptoncus luteolus. Environmental Pollution. 234. 788–793. 14 indexed citations
20.
Zhou, Hao, Michelle A. Uberti, Daniel G. Smith, et al.. (2013). Discovery and structure–activity relationship of 1,3-cyclohexyl amide derivatives as novel mGluR5 negative allosteric modulators. Bioorganic & Medicinal Chemistry Letters. 23(5). 1398–1406. 9 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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