Han Zhao

4.3k total citations
69 papers, 1.7k citations indexed

About

Han Zhao is a scholar working on Molecular Biology, Reproductive Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Han Zhao has authored 69 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 24 papers in Reproductive Medicine and 23 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Han Zhao's work include Reproductive Biology and Fertility (22 papers), Ovarian function and disorders (20 papers) and Ovarian cancer diagnosis and treatment (8 papers). Han Zhao is often cited by papers focused on Reproductive Biology and Fertility (22 papers), Ovarian function and disorders (20 papers) and Ovarian cancer diagnosis and treatment (8 papers). Han Zhao collaborates with scholars based in China, United States and France. Han Zhao's co-authors include Zi‐Jiang Chen, Yingying Qin, Joe Leigh Simpson, Aleksandar Rajkovic, Youngsok Choi, Aleksandar Rajkovic, Hongbin Liu, Yuhua Shi, Shigang Zhao and Shan Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Han Zhao

63 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Zhao China 21 810 660 658 438 222 69 1.7k
Shigang Zhao China 22 716 0.9× 508 0.8× 700 1.1× 182 0.4× 178 0.8× 97 1.6k
Makoto Orisaka Japan 23 815 1.0× 568 0.9× 823 1.3× 279 0.6× 124 0.6× 62 1.8k
Linda Wu Australia 21 720 0.9× 538 0.8× 537 0.8× 277 0.6× 45 0.2× 46 1.9k
Wenpei Xiang China 22 426 0.5× 668 1.0× 361 0.5× 86 0.2× 276 1.2× 73 1.5k
Kim I. Tilly United States 20 903 1.1× 880 1.3× 509 0.8× 221 0.5× 91 0.4× 25 2.0k
Tommi Vaskivuo Finland 20 628 0.8× 669 1.0× 814 1.2× 528 1.2× 84 0.4× 26 1.7k
Kenth Henriksén Finland 13 365 0.5× 1.0k 1.5× 726 1.1× 353 0.8× 113 0.5× 13 1.9k
Mamata Deenadayal India 23 573 0.7× 449 0.7× 849 1.3× 288 0.7× 50 0.2× 54 1.4k
Karen Eisenhauer United States 11 518 0.6× 377 0.6× 384 0.6× 162 0.4× 57 0.3× 14 1.1k
Baidyanath Chakravarty India 31 894 1.1× 591 0.9× 1.6k 2.4× 408 0.9× 53 0.2× 85 2.6k

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, Li‐Juan Chai, Wei Zhang, et al.. (2025). Changes in flavor profile of sauce-flavor baijiu: Perceptual interactions between 1-propanol and aroma compounds. Food Chemistry X. 25. 102153–102153. 8 indexed citations
2.
Cheng, Xiaoxiao, et al.. (2025). G protein and MYD Growth Factor in neuroprotection after cerebral ischemia-reperfusion. Neurological Research. 47(12). 1228–1238.
3.
Ren, Yujia, Jiayi Zhou, Hui Zhu, et al.. (2025). Effects of maternal poor ovarian response on the reproductive endocrine profiles of the next generation: a prospective cohort study in China. Human Reproduction Open. 2025(2). hoaf019–hoaf019.
4.
Shi, Wei, Li‐Juan Chai, Han Zhao, et al.. (2024). Deciphering the effects of different types of high-temperature Daqu on the fermentation process and flavor profiles of sauce-flavor Baijiu. Food Bioscience. 61. 104917–104917. 20 indexed citations
5.
Zhang, Bingqian, Xiaojing Chen, Yiyuan Zhang, et al.. (2024). Associations Between Paternal Obesity and Cardiometabolic Alterations in Offspring via Assisted Reproductive Technology. The Journal of Clinical Endocrinology & Metabolism. 109(12). e2309–e2316. 2 indexed citations
6.
Zhang, Junkang, et al.. (2024). The SmWRKY12-SmRAP2–7-SmEXPA13 module in Salix matsudana koidz enhances plant tolerance to drought stress. International Journal of Biological Macromolecules. 284(Pt 1). 138077–138077. 5 indexed citations
7.
Huang, Ping, Han Zhao, Hua Dai, et al.. (2024). FXR deficiency induced ferroptosis via modulation of the CBP-dependent p53 acetylation to suppress breast cancer growth and metastasis. Cell Death and Disease. 15(11). 826–826. 5 indexed citations
8.
Huang, Ping, Han Zhao, Jinying Li, et al.. (2023). SIRT3-mediated autophagy contributes to ferroptosis-induced anticancer by inducing the formation of BECN1-SLC7A11 complex. Biochemical Pharmacology. 213. 115592–115592. 13 indexed citations
9.
Liu, Congcong, Yuanwen Zheng, Yuxuan Li, et al.. (2023). TOX3 deficiency mitigates hyperglycemia by suppressing hepatic gluconeogenesis through FoxO1. Metabolism. 152. 155766–155766. 7 indexed citations
10.
Zhao, Jun, Wangsheng Wang, Han Zhao, et al.. (2018). Long non-coding RNA LINC-01572:28 inhibits granulosa cell growth via a decrease in p27 (Kip1) degradation in patients with polycystic ovary syndrome. EBioMedicine. 36. 526–538. 55 indexed citations
11.
Wan, Jipeng, Lei Li, Fei Wang, et al.. (2016). Role of UMOD Promoter Polymorphism in the Etiology of Preeclampsia. Genetic Testing and Molecular Biomarkers. 20(8). 471–474. 1 indexed citations
12.
Zhang, Wei, Shigang Zhao, Yuehong Bian, et al.. (2016). FADS1-FADS2 gene cluster confers risk to polycystic ovary syndrome. Scientific Reports. 6(1). 21195–21195. 12 indexed citations
13.
Zhao, Han, Haitao Chen, Yingqian Peng, et al.. (2016). Variants inFSHBAre Associated With Polycystic Ovary Syndrome and Luteinizing Hormone Level in Han Chinese Women. The Journal of Clinical Endocrinology & Metabolism. 101(5). 2178–2184. 48 indexed citations
14.
Jin, Hua, et al.. (2015). Predictors of Gestational Diabetes Mellitus in Chinese Women with Polycystic Ovary Syndrome: A Cross-Sectional Study. Gynecologic and Obstetric Investigation. 81(3). 220–224. 8 indexed citations
15.
Zhao, Shigang, Ye Tian, Xuan Gao, et al.. (2015). Family-based analysis of eight susceptibility loci in polycystic ovary syndrome. Scientific Reports. 5(1). 12619–12619. 16 indexed citations
16.
Wan, Jipeng, et al.. (2013). The Common Variant rs11646213 Is Associated with Preeclampsia in Han Chinese Women. PLoS ONE. 8(8). e71202–e71202. 11 indexed citations
17.
Li, Tao, Keliang Wu, You Li, et al.. (2013). Common Variant rs9939609 in Gene FTO Confers Risk to Polycystic Ovary Syndrome. PLoS ONE. 8(7). e66250–e66250. 41 indexed citations
18.
Zhao, Han & Zi‐Jiang Chen. (2013). Genetic association studies in female reproduction: from candidate-gene approaches to genome-wide mapping. Molecular Human Reproduction. 19(10). 644–654. 28 indexed citations
19.
Qin, Yingying, Han Zhao, Jianfeng Xu, et al.. (2011). Association of 8q22.3 locus in Chinese Han with idiopathic premature ovarian failure (POF). Human Molecular Genetics. 21(2). 430–436. 24 indexed citations
20.
Qin, Yingying, Youngsok Choi, Han Zhao, et al.. (2007). NOBOX Homeobox Mutation Causes Premature Ovarian Failure. The American Journal of Human Genetics. 81(3). 576–581. 188 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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