Hao Zhou

5.8k total citations · 2 hit papers
130 papers, 4.3k citations indexed

About

Hao Zhou is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Hao Zhou has authored 130 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 30 papers in Cancer Research and 19 papers in Genetics. Recurrent topics in Hao Zhou's work include Gut microbiota and health (19 papers), Cancer-related molecular mechanisms research (17 papers) and MicroRNA in disease regulation (9 papers). Hao Zhou is often cited by papers focused on Gut microbiota and health (19 papers), Cancer-related molecular mechanisms research (17 papers) and MicroRNA in disease regulation (9 papers). Hao Zhou collaborates with scholars based in China, United States and Israel. Hao Zhou's co-authors include Joyce McClain, George D. Yancopoulos, Thomas N. Sato, Chitra Suri, Donald M. McDonald, Gavin Thurston, E. H. Oldmixon, Yongzhang Luo, Xiaomin Song and Shaopeng Yuan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Hao Zhou

125 papers receiving 4.3k citations

Hit Papers

Increased Vascularization... 1998 2026 2007 2016 1998 2019 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hao Zhou 2.8k 819 462 315 313 130 4.3k
Cheng Zhang 3.1k 1.1× 1.1k 1.3× 456 1.0× 907 2.9× 410 1.3× 297 6.3k
Dragana Nikitovic 2.7k 1.0× 768 0.9× 786 1.7× 484 1.5× 245 0.8× 122 6.0k
Jing Chen 3.0k 1.1× 1.3k 1.6× 576 1.2× 627 2.0× 218 0.7× 176 6.1k
Ching‐Ping Tseng 1.9k 0.7× 487 0.6× 807 1.7× 374 1.2× 216 0.7× 143 4.7k
Shanshan Li 2.5k 0.9× 562 0.7× 405 0.9× 578 1.8× 106 0.3× 247 5.4k
Ruth Birner‐Gruenberger 2.7k 1.0× 328 0.4× 206 0.4× 281 0.9× 434 1.4× 166 6.0k
Feng Jiang 3.1k 1.1× 1.5k 1.9× 858 1.9× 453 1.4× 87 0.3× 215 5.9k
Naoko Takahashi 2.1k 0.8× 537 0.7× 658 1.4× 443 1.4× 198 0.6× 204 4.6k
Dan Ye 2.8k 1.0× 1.3k 1.6× 556 1.2× 744 2.4× 201 0.6× 148 5.2k
Man Liu 2.8k 1.0× 498 0.6× 475 1.0× 758 2.4× 718 2.3× 280 6.1k

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.
Marty, Serge, et al.. (2025). A micro-metabolic rewiring assay for assessing hypoxia-associated cancer metabolic heterogeneity. Bioactive Materials. 48. 493–509. 1 indexed citations
2.
Henschel, Andreas, Hao Zhou, Jorge P. Zubelli, et al.. (2025). Improving T2D machine learning-based prediction accuracy with SNPs and younger age. Computational and Structural Biotechnology Journal. 27. 2772–2781. 1 indexed citations
3.
Zhou, Hao, Serena Abbondante, Michaela Marshall, et al.. (2025). Spatial transcriptomics identifies novel Pseudomonas aeruginosa virulence factors. Cell Genomics. 5(3). 100805–100805. 1 indexed citations
5.
Zhou, Hao, et al.. (2024). mtx-COBRA: Subcellular localization prediction for bacterial proteins. Computers in Biology and Medicine. 171. 108114–108114. 5 indexed citations
6.
Su, Long, Ruijuan Wang, Xiaoyan Dai, et al.. (2023). Comparative 4D Label-Free Quantitative Proteomic Analysis of Bombus terrestris Provides Insights into Proteins and Processes Associated with Diapause. International Journal of Molecular Sciences. 25(1). 326–326. 7 indexed citations
7.
Li, Shuxian, Jiali Huang, Xiangrong Luo, et al.. (2023). Gram-Negative Bacteria and Lipopolysaccharides as Risk Factors for the Occurrence of Diabetic Foot. The Journal of Clinical Endocrinology & Metabolism. 108(10). 2604–2614. 5 indexed citations
8.
Porras, Ana Maria, et al.. (2022). Inflammatory Bowel Disease-Associated Gut Commensals Degrade Components of the Extracellular Matrix. mBio. 13(6). e0220122–e0220122. 23 indexed citations
9.
Liu, Lili, Ling Xin, Yunxia Lu, et al.. (2022). The Protective Effects of a Modified Xiaohua Funing Decoction against Acute Liver Failure in Mice Induced by D-Gal and LPS. Evidence-based Complementary and Alternative Medicine. 2022. 1–13. 5 indexed citations
10.
Gu, Pengfei, Qianqian Ma, Shuo Zhao, et al.. (2022). Application of quorum sensing system in microbial synthesis of valuable chemicals: a mini-review. World Journal of Microbiology and Biotechnology. 38(11). 192–192. 7 indexed citations
11.
Ding, Jinmei, Yuming Zheng, Lingyu Yang, et al.. (2020). The Composition and Function of Pigeon Milk Microbiota Transmitted From Parent Pigeons to Squabs. Frontiers in Microbiology. 11. 1789–1789. 20 indexed citations
12.
Parasar, Bibudha, et al.. (2019). Chemoproteomic Profiling of Gut Microbiota-Associated Bile Salt Hydrolase Activity. ACS Central Science. 5(5). 867–873. 70 indexed citations
13.
Kim, Sungwoong, Hao Zhou, Marysol Luna, et al.. (2019). Immunomodulatory nanogels overcome restricted immunity in a murine model of gut microbiome–mediated metabolic syndrome. Science Advances. 5(3). eaav9788–eaav9788. 33 indexed citations
14.
Zhou, Hao, Xiaolong Wang, Zhaohuan Li, et al.. (2018). Occurrence and Distribution of Urban Dust-Associated Bacterial Antibiotic Resistance in Northern China. Environmental Science & Technology Letters. 5(2). 50–55. 52 indexed citations
15.
Li, Yun, Lan Mu, Yuxia Ruan, et al.. (2018). [The influence of molecular classification of breast cancer on the safety of breast-conserving surgery].. PubMed. 40(5). 341–346. 2 indexed citations
16.
Wang, Qiutong, Lei Wang, Yaxin Jiang, et al.. (2018). SMYD3-associated pathway is involved in the anti-tumor effects of sulforaphane on gastric carcinoma cells. Food Science and Biotechnology. 27(4). 1165–1173. 13 indexed citations
17.
Pan, Lijuan, Wenhan Lu, Hao Zhou, et al.. (2017). <i>Lactobacillus Plantarum</i> CGMCC8198-Fermented Milk Inhibits Melanogenesis in B16F10 Melanoma Cells. Food Science and Technology Research. 23(5). 669–678. 3 indexed citations
18.
Yuan, Ying, Huiqin Wang, Liwen Huang, et al.. (2017). miR-219a-5p inhibits breast cancer cell migration and epithelial-mesenchymal transition by targeting myocardin-related transcription factor A. Acta Biochimica et Biophysica Sinica. 49(12). 1112–1121. 20 indexed citations
19.
Bi, Shuoben, et al.. (2016). 3-Dimensional Modeling and Simulation of the Cloud Based on Cellular Automata and Particle System. ISPRS International Journal of Geo-Information. 5(6). 86–86. 6 indexed citations
20.
Lü, You, Yuquan Wei, Ling Tian, et al.. (2003). Immunogene Therapy of Tumors with Vaccine Based on Xenogeneic Epidermal Growth Factor Receptor. The Journal of Immunology. 170(6). 3162–3170. 55 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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