Maobi Zhu

1.5k total citations
29 papers, 1.2k citations indexed

About

Maobi Zhu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Maobi Zhu has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Public Health, Environmental and Occupational Health and 8 papers in Reproductive Medicine. Recurrent topics in Maobi Zhu's work include Reproductive Biology and Fertility (9 papers), Birth, Development, and Health (6 papers) and Estrogen and related hormone effects (5 papers). Maobi Zhu is often cited by papers focused on Reproductive Biology and Fertility (9 papers), Birth, Development, and Health (6 papers) and Estrogen and related hormone effects (5 papers). Maobi Zhu collaborates with scholars based in China, United States and Japan. Maobi Zhu's co-authors include Stephen P. Ford, ‬Min Du, Peter W. Nathanielsz, K. R. Underwood, Junxing Zhao, Jinyi Tong, B. W. Hess, W. J. Means, R. J. McCormick and Qionghua Chen and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and British Journal of Pharmacology.

In The Last Decade

Maobi Zhu

28 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maobi Zhu China 16 312 291 257 228 218 29 1.2k
Laura Torres-Rovira Spain 19 345 1.1× 127 0.4× 190 0.7× 219 1.0× 136 0.6× 52 912
Jianbo Hu United States 14 89 0.3× 272 0.9× 197 0.8× 224 1.0× 174 0.8× 32 1.1k
Guoyao Wu United States 10 241 0.8× 171 0.6× 205 0.8× 91 0.4× 181 0.8× 16 700
M. Lyn Harland Australia 13 124 0.4× 278 1.0× 201 0.8× 63 0.3× 60 0.3× 17 792
Takehito Kuwayama Japan 29 397 1.3× 797 2.7× 295 1.1× 207 0.9× 149 0.7× 125 2.5k
Scott H. Purcell United States 12 277 0.9× 243 0.8× 238 0.9× 109 0.5× 114 0.5× 19 986
M. A. Lomax United Kingdom 24 293 0.9× 184 0.6× 792 3.1× 516 2.3× 64 0.3× 64 1.8k
Leticia E. Camacho United States 20 583 1.9× 73 0.3× 291 1.1× 161 0.7× 327 1.5× 36 864
Michael J. Bertoldo Australia 23 115 0.4× 335 1.2× 157 0.6× 131 0.6× 49 0.2× 50 1.4k
Veerle Van Hoeck Belgium 19 262 0.8× 190 0.7× 683 2.7× 66 0.3× 29 0.1× 42 1.3k

Countries citing papers authored by Maobi Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Maobi Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maobi Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Maobi Zhu. A scholar is included among the top collaborators of Maobi Zhu 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 Maobi Zhu. Maobi Zhu 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.
Wang, Na, Jianglin Fan, Yajie Chen, et al.. (2025). Formononetin promotes porcine oocytes maturation and improves embryonic development by reducing oxidative stress. Frontiers in Cell and Developmental Biology. 12. 1520429–1520429. 1 indexed citations
2.
3.
Chen, Yajie, Shuang Zhang, Yifan Sun, et al.. (2024). Bisphenol A impairs oocyte maturation by dysfunction of cumulus cells. Theriogenology. 233. 139–146. 1 indexed citations
4.
Chen, Yajie, Xiawen Yang, Shuji Kitajima, et al.. (2023). Macrophage elastase derived from adventitial macrophages modulates aortic remodeling. Frontiers in Cell and Developmental Biology. 10. 1097137–1097137. 5 indexed citations
5.
Zhu, Maobi, Na Wang, Sha Wang, et al.. (2023). Effects of Follicular Fluid on Physiological Characteristics and Differentiation of Fallopian Tube Epithelial Cells Implicating for Ovarian Cancer Pathogenesis. International Journal of Molecular Sciences. 24(12). 10154–10154. 5 indexed citations
6.
Huang, Qiansheng, Yajie Chen, Qionghua Chen, et al.. (2016). Dioxin-like rather than non-dioxin-like PCBs promote the development of endometriosis through stimulation of endocrine–inflammation interactions. Archives of Toxicology. 91(4). 1915–1924. 34 indexed citations
7.
Wang, Haijin, Quan Zhang, Yanfen Chai, et al.. (2015). 1,25(OH)2D3 downregulates the Toll-like receptor 4-mediated inflammatory pathway and ameliorates liver injury in diabetic rats. Journal of Endocrinological Investigation. 38(10). 1083–1091. 35 indexed citations
8.
Wu, Rongfeng, Weidong Zhou, Shuo Chen, et al.. (2014). Lipoxin A4 suppresses the development of endometriosis in an ALX receptor‐dependent manner via the p38 MAPK pathway. British Journal of Pharmacology. 171(21). 4927–4940. 48 indexed citations
9.
Chen, Yajie, Qiansheng Huang, Qionghua Chen, et al.. (2014). The inflammation and estrogen metabolism impacts of polychlorinated biphenyls on endometrial cancer cells. Toxicology in Vitro. 29(2). 308–313. 24 indexed citations
10.
11.
Liu, Yu, Xin Huang, Lu Ding, et al.. (2013). Resveratrol Protects Mouse Oocytes from Methylglyoxal-Induced Oxidative Damage. PLoS ONE. 8(10). e77960–e77960. 76 indexed citations
12.
13.
Du, ‬Min, Junxing Zhao, Xu Yan, et al.. (2010). Fetal muscle development, mesenchymal multipotent cell differentiation, and associated signaling pathways1,2. Journal of Animal Science. 89(2). 583–590. 76 indexed citations
14.
Du, ‬Min, Jinyi Tong, Junxing Zhao, et al.. (2009). Fetal programming of skeletal muscle development in ruminant animals1. Journal of Animal Science. 88(suppl_13). E51–E60. 390 indexed citations
15.
Zhao, Junxing, Xu Yan, Jinyi Tong, et al.. (2009). Mouse AMP-activated protein kinase γ3 subunit R225Q mutation affecting mouse growth performance when fed a high-energy diet1. Journal of Animal Science. 88(4). 1332–1340. 5 indexed citations
16.
Zhu, Maobi, ‬Min Du, Mark J. Nijland, et al.. (2009). Down-Regulation of Growth Signaling Pathways Linked to a Reduced Cotyledonary Vascularity in Placentomes of Over-Nourished, Obese Pregnant Ewes. Placenta. 30(5). 405–410. 47 indexed citations
17.
Zhu, Maobi, ‬Min Du, B. W. Hess, Peter W. Nathanielsz, & Stephen P. Ford. (2007). Periconceptional Nutrient Restriction in the Ewe Alters MAPK/ERK1/2 and PI3K/Akt Growth Signaling Pathways and Vascularity in the Placentome. Placenta. 28(11-12). 1192–1199. 38 indexed citations
18.
Wang, Tian, et al.. (2007). Effect of hydroxysafflor yellow a combined with nitroglycerin on acute myocardial infarction. Journal of Molecular and Cellular Cardiology. 42(6). S216–S216. 1 indexed citations
19.
Underwood, K. R., W. J. Means, Maobi Zhu, et al.. (2007). AMP-activated protein kinase is negatively associated with intramuscular fat content in longissimus dorsi muscle of beef cattle. Meat Science. 79(2). 394–402. 37 indexed citations
20.
Shen, Qingwu, W. J. Means, K. R. Underwood, et al.. (2006). Pre-slaughter transport, AMP-activated protein kinase, glycolysis, and quality of pork loin. Meat Science. 74(2). 388–395. 85 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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