Han Zhao

1.9k total citations
80 papers, 1.4k citations indexed

About

Han Zhao is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Han Zhao has authored 80 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 14 papers in Oncology and 12 papers in Surgery. Recurrent topics in Han Zhao's work include Bone Tissue Engineering Materials (6 papers), Graphene and Nanomaterials Applications (4 papers) and Gynecological conditions and treatments (4 papers). Han Zhao is often cited by papers focused on Bone Tissue Engineering Materials (6 papers), Graphene and Nanomaterials Applications (4 papers) and Gynecological conditions and treatments (4 papers). Han Zhao collaborates with scholars based in China, United States and Taiwan. Han Zhao's co-authors include Xuliang Deng, Boon Chin Heng, Xuehui Zhang, Wenwen Liu, Nanshan Zhong, Yongmei Xia, Haijun Wang, Yuming Dong, Xiangmiao Zhu and Xiang Liu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Han Zhao

75 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Zhao China 21 427 281 261 210 197 80 1.4k
Andrew Hsu United States 18 583 1.4× 592 2.1× 194 0.7× 325 1.5× 206 1.0× 61 2.2k
Bo Qiu China 20 424 1.0× 134 0.5× 186 0.7× 162 0.8× 96 0.5× 59 1.3k
Alisa Morss Clyne United States 22 419 1.0× 649 2.3× 142 0.5× 267 1.3× 91 0.5× 75 2.1k
Tongyi Huang China 17 311 0.7× 263 0.9× 208 0.8× 126 0.6× 104 0.5× 37 1.2k
Dongdong Cheng China 22 484 1.1× 286 1.0× 108 0.4× 153 0.7× 133 0.7× 54 1.4k
Juergen Brieger Germany 22 551 1.3× 305 1.1× 191 0.7× 331 1.6× 235 1.2× 50 1.6k
Jongmin Kim South Korea 24 630 1.5× 126 0.4× 152 0.6× 181 0.9× 209 1.1× 68 1.9k
Chun‐Han Hou Taiwan 24 655 1.5× 384 1.4× 275 1.1× 107 0.5× 200 1.0× 56 1.6k
Hiroshi Kajiwara Japan 24 358 0.8× 93 0.3× 379 1.5× 191 0.9× 236 1.2× 131 1.7k
Ruizhong Zhang China 26 744 1.7× 335 1.2× 162 0.6× 528 2.5× 244 1.2× 70 2.3k

Countries citing papers authored by Han Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Han Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Han Zhao. A scholar is included among the top collaborators of Han Zhao 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 Han Zhao. Han Zhao 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.
Zhao, Han, et al.. (2025). Multi-omics analyses identify gut microbiota-fecal metabolites-brain-cognition pathways in the Alzheimer’s disease continuum. Alzheimer s Research & Therapy. 17(1). 36–36. 17 indexed citations
2.
Li, Guangqi, Shasha Hu, Han Zhao, et al.. (2024). Anaplastic and poorly differentiated thyroid carcinomas: genetic evidence of high‐grade transformation from differentiated thyroid carcinoma. The Journal of Pathology Clinical Research. 10(2). e356–e356. 8 indexed citations
3.
Wang, Yongkun, et al.. (2024). Construction of a clinically significant prostate cancer risk prediction model based on traditional diagnostic methods. Frontiers in Oncology. 14. 1474891–1474891. 1 indexed citations
4.
Ling, Wei, Zhiyun Du, Chenguang Zhang, et al.. (2023). Mg‐CS/HA Microscaffolds Display Excellent Biodegradability and Controlled Release of Si and Mg Bioactive Ions to Synergistically Promote Vascularized Bone Regeneration. Advanced Materials Interfaces. 10(20). 6 indexed citations
5.
Zhou, Wei, Han Zhao, Qing Wang, et al.. (2023). Serum Exosomes From Epithelial Ovarian Cancer Patients Contain LRP1, Which Promotes the Migration of Epithelial Ovarian Cancer Cell. Molecular & Cellular Proteomics. 22(4). 100520–100520. 20 indexed citations
6.
Sun, Dantong, Han Zhao, Hai Zhou, et al.. (2023). ARID1A deficiency associated with MMR deficiency and a high abundance of tumor-infiltrating lymphocytes predicts a good prognosis of endometrial carcinoma. Translational Oncology. 33. 101685–101685. 3 indexed citations
7.
Wang, Yanbo, Wenbo Xiao, Han Zhao, et al.. (2023). Sarcopenia Transitions and Influencing Factors Among Chinese Older Adults With Multistate Markov Model. Innovation in Aging. 7(8). igad105–igad105. 5 indexed citations
8.
Liu, Wenwen, Han Zhao, Chenguang Zhang, et al.. (2023). In situ activation of flexible magnetoelectric membrane enhances bone defect repair. Nature Communications. 14(1). 4091–4091. 78 indexed citations
9.
10.
Zhang, Fengyi, Xiangyu Yan, Muyao Wu, et al.. (2023). Modulating Lineage Specification in Stem Cell Differentiation via Bioelectrical Stimulation Intensity Matching. Advanced Materials Interfaces. 11(5). 3 indexed citations
11.
Zhu, Fangyu, et al.. (2022). Electric/Magnetic Intervention for Bone Regeneration: A Systematic Review and Network Meta-Analysis. Tissue Engineering Part B Reviews. 29(3). 217–231. 18 indexed citations
12.
Zhao, Han, et al.. (2022). Dexmedetomidine Alleviates Lung Oxidative Stress Injury Induced by Ischemia‐Reperfusion in Diabetic Rats via the Nrf2‐Sulfiredoxin1 Pathway. BioMed Research International. 2022(1). 5584733–5584733. 7 indexed citations
13.
Dong, Henry Y., et al.. (2020). microRNA-182 Negatively Influences the Neuroprotective Effect of Apelin Against Neuronal Injury in Epilepsy. SHILAP Revista de lepidopterología.
14.
Zhang, Dan, Yijing Chu, Yulong Chen, et al.. (2020). Knockdown of enhancer of rudimentary homolog inhibits proliferation and metastasis in ovarian cancer by regulating epithelial-mesenchymal transition. Biomedicine & Pharmacotherapy. 125. 109974–109974. 11 indexed citations
15.
Zhao, Han, Kang Xu, Peng Zhu, Chunli Wang, & Qingjia Chi. (2018). Smart hydrogels with high tunability of stiffness as a biomimetic cell carrier. Cell Biology International. 43(2). 84–97. 26 indexed citations
16.
Zhao, Han, et al.. (2016). Effects of External Electric Field on Hydrogen Storage Performance of Li-decorated Graphene Oxide. Gaodeng xuexiao huaxue xuebao. 37(1). 100. 1 indexed citations
17.
Zhao, Han, et al.. (2014). Lithium Storage on Extended Graphynes: Predicted by DFT Calculations†. Gaodeng xuexiao huaxue xuebao. 35(8). 1731. 2 indexed citations
18.
Jiang, Ming, Handong Ouyang, Han Zhao, et al.. (2011). Chitosan derivatives inhibit cell proliferation and induce apoptosis in breast cancer cells.. PubMed. 31(4). 1321–8. 43 indexed citations
19.
Zhao, Han, et al.. (2006). [The relationship between ECM1 and the angiogenesis and metastasis of laryngeal carcinoma].. PubMed. 20(3). 116–8, 121. 4 indexed citations
20.
Zhao, Han. (2003). Cloning and sequence analysis of a cDNA fragment encoding α subunit of nicotinic acetylcholine receptor from Plutella xylostella. Nanjing Nongye Daxue xuebao. 1 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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