Zongyong Ai

1.1k total citations · 1 hit paper
18 papers, 547 citations indexed

About

Zongyong Ai is a scholar working on Molecular Biology, Developmental Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Zongyong Ai has authored 18 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Developmental Neuroscience and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Zongyong Ai's work include Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (8 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Zongyong Ai is often cited by papers focused on Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (8 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Zongyong Ai collaborates with scholars based in China and United States. Zongyong Ai's co-authors include Tianqing Li, Weizhi Ji, Yuyu Niu, Jingjing He, Yu Yin, Lifeng Xiang, Kui Duan, Yun Zheng, Yun Bai and Zhouchun Shang and has published in prestigious journals such as Nature, Nature Communications and Biomaterials.

In The Last Decade

Zongyong Ai

17 papers receiving 545 citations

Hit Papers

A developmental landscape of 3D-cultured human pre-gastru... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zongyong Ai China 11 441 84 71 66 50 18 547
Jinglei Zhai China 9 348 0.8× 39 0.5× 75 1.1× 74 1.1× 45 0.9× 14 488
Jiho Choi United States 10 665 1.5× 51 0.6× 95 1.3× 51 0.8× 118 2.4× 13 824
Mikkel A. Rasmussen Denmark 13 444 1.0× 67 0.8× 47 0.7× 78 1.2× 83 1.7× 34 560
Daniella Herszfeld Australia 10 335 0.8× 45 0.5× 46 0.6× 71 1.1× 49 1.0× 13 518
Tanya Hatzistavrou Australia 13 517 1.2× 76 0.9× 66 0.9× 71 1.1× 126 2.5× 15 641
Rodrigo Osorno United Kingdom 10 1.1k 2.4× 103 1.2× 60 0.8× 110 1.7× 105 2.1× 11 1.1k
Fatima Cavaleri Germany 10 598 1.4× 65 0.8× 104 1.5× 45 0.7× 74 1.5× 10 747
Frederick C.K. Wong United Kingdom 11 805 1.8× 73 0.9× 55 0.8× 84 1.3× 91 1.8× 14 862
Anne E. Conway United States 6 735 1.7× 63 0.8× 98 1.4× 70 1.1× 89 1.8× 7 820
Paul Gontarz United States 14 507 1.1× 23 0.3× 28 0.4× 46 0.7× 96 1.9× 25 655

Countries citing papers authored by Zongyong Ai

Since Specialization
Citations

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

Fields of papers citing papers by Zongyong Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zongyong Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Zongyong Ai. A scholar is included among the top collaborators of Zongyong Ai 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 Zongyong Ai. Zongyong Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Niu, Ben, Yingjie Hu, Yue Wang, et al.. (2025). Deciphering signaling mechanisms and developmental dynamics in extraembryonic mesoderm specification from hESCs. Nature Communications. 16(1). 4688–4688.
2.
Xiang, Lifeng, Zongyong Ai, Ben Niu, et al.. (2024). The impact of dynamic caudal type homeobox 2 expression on the differentiation of human trophoblast lineage during implantation. Cell Proliferation. 57(12). e13729–e13729. 2 indexed citations
3.
Zhu, Xiaoqing, Yicheng Guo, Kui Duan, et al.. (2022). BRN2 as a key gene drives the early primate telencephalon development. Science Advances. 8(9). eabl7263–eabl7263. 7 indexed citations
4.
Wei, Jingkuan, et al.. (2022). Genetically engineered mesenchymal stem cells with dopamine synthesis for Parkinson’s disease in animal models. npj Parkinson s Disease. 8(1). 175–175. 18 indexed citations
5.
Ai, Zongyong, Yu Yin, Ben Niu, & Tianqing Li. (2022). Deconstructing human peri-implantation embryogenesis based on embryos and embryoids. Biology of Reproduction. 107(1). 212–225. 2 indexed citations
6.
Duan, Kui, Chenyang Si, Shumei Zhao, et al.. (2021). The Long Terminal Repeats of ERV6 Are Activated in Pre-Implantation Embryos of Cynomolgus Monkey. Cells. 10(10). 2710–2710. 2 indexed citations
7.
Zhao, Shumei, Kui Duan, Zongyong Ai, et al.. (2020). Generation of cortical neurons through large-scale expanding neuroepithelial stem cell from human pluripotent stem cells. Stem Cell Research & Therapy. 11(1). 431–431. 4 indexed citations
8.
Ai, Zongyong, Ben Niu, Kui Duan, et al.. (2020). Modulation of Wnt and Activin/Nodal supports efficient derivation, cloning and suspension expansion of human pluripotent stem cells. Biomaterials. 249. 120015–120015. 14 indexed citations
9.
Xiang, Lifeng, Yu Yin, Yun Zheng, et al.. (2019). A developmental landscape of 3D-cultured human pre-gastrulation embryos. Nature. 577(7791). 537–542. 278 indexed citations breakdown →
10.
Li, Tianqing, Zongyong Ai, & Weizhi Ji. (2018). Primate stem cells: bridge the translation from basic research to clinic application. Science China Life Sciences. 62(1). 12–21. 10 indexed citations
11.
Kang, Yu, Zongyong Ai, Kui Duan, et al.. (2018). Improving Cell Survival in Injected Embryos Allows Primed Pluripotent Stem Cells to Generate Chimeric Cynomolgus Monkeys. Cell Reports. 25(9). 2563–2576.e9. 14 indexed citations
12.
Zhu, Xiaoqing, et al.. (2016). Efficient Generation of Corticofugal Projection Neurons from Human Embryonic Stem Cells. Scientific Reports. 6(1). 28572–28572. 12 indexed citations
13.
He, Jingjing, Xiaoqing Zhu, Zongyong Ai, et al.. (2016). Neuroprotective Effects of 7, 8-dihydroxyflavone on Midbrain Dopaminergic Neurons in MPP+-treated Monkeys. Scientific Reports. 6(1). 34339–34339. 38 indexed citations
14.
Ai, Zongyong, Zheng Xiang, Yuemin Li, et al.. (2015). Conversion of monkey fibroblasts to transplantable telencephalic neuroepithelial stem cells. Biomaterials. 77. 53–65. 12 indexed citations
15.
Chen, Yongchang, Yuyu Niu, Yanjiao Li, et al.. (2015). Generation of Cynomolgus Monkey Chimeric Fetuses using Embryonic Stem Cells. Cell stem cell. 17(1). 116–124. 88 indexed citations
16.
Zhu, Xiaoqing, Bo Li, Zongyong Ai, et al.. (2015). A Robust Single Primate Neuroepithelial Cell Clonal Expansion System for Neural Tube Development and Disease Studies. Stem Cell Reports. 6(2). 228–242. 22 indexed citations
17.
Jiang, Bin, Zongyong Ai, Hong Wang, et al.. (2015). Generation of cardiac spheres from primate pluripotent stem cells in a small molecule-based 3D system. Biomaterials. 65. 103–114. 23 indexed citations
18.
Li, Tianqing, Zongyong Ai, & Shumei Zhao. (2015). Research on Primate Naive Pluripotent Stem Cells and Its Challenges. Scientia Sinica Vitae. 45(12). 1203–1213. 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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