Zhiying Ai

615 total citations
23 papers, 461 citations indexed

About

Zhiying Ai is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Zhiying Ai has authored 23 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Zhiying Ai's work include Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (8 papers) and MicroRNA in disease regulation (7 papers). Zhiying Ai is often cited by papers focused on Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (8 papers) and MicroRNA in disease regulation (7 papers). Zhiying Ai collaborates with scholars based in China, United States and Brazil. Zhiying Ai's co-authors include Zekun Guo, Yongyan Wu, Yong Zhang, Xiaoyan Shi, Xiao‐Long Yang, Yong Xia, Wenzhi Shen, Changlin Li, Haibo Wu and Juan Du and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Zhiying Ai

21 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhiying Ai China 11 328 145 118 37 33 23 461
Heiko Yang United States 8 130 0.4× 66 0.5× 104 0.9× 27 0.7× 23 0.7× 32 326
Parthena Foltopoulou United States 7 289 0.9× 87 0.6× 42 0.4× 22 0.6× 13 0.4× 9 377
Abdullah Moridikia Iran 7 362 1.1× 281 1.9× 53 0.4× 44 1.2× 6 0.2× 8 547
Antti M. Salo Finland 12 237 0.7× 125 0.9× 34 0.3× 45 1.2× 15 0.5× 20 508
Yingfei Lu China 14 637 1.9× 552 3.8× 32 0.3× 71 1.9× 17 0.5× 29 826
Ruifeng Yang China 12 399 1.2× 167 1.2× 29 0.2× 29 0.8× 13 0.4× 32 541
Emre Can Tüysüz Türkiye 11 138 0.4× 97 0.7× 41 0.3× 11 0.3× 15 0.5× 19 302
Juliana Inês Santos Portugal 11 311 0.9× 187 1.3× 85 0.7× 31 0.8× 4 0.1× 20 459

Countries citing papers authored by Zhiying Ai

Since Specialization
Citations

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

Fields of papers citing papers by Zhiying Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiying Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiying Ai. A scholar is included among the top collaborators of Zhiying 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 Zhiying Ai. Zhiying Ai 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.
Li, Liangjie, Z. Z. Ren, Shanshan Wang, et al.. (2025). Molecular Insights into the Potential Anticancer Activity of Pyrone Derivatives. Journal of Natural Products. 88(12). 3065–3076.
2.
Cheng, Yi, Shu Li, Shanshan Wang, et al.. (2025). Exploring medical students’ attitudes and perceptions toward artificial intelligence in medicine in Shandong Province, China. BMC Medical Education. 26(1). 106–106. 1 indexed citations
3.
Ma, Jian‐xing, Ya-Qin Zhang, Wen Li, et al.. (2024). PFKFB3 deprivation attenuates the cisplatin resistance via blocking its autophagic elimination in colorectal cancer cells. Frontiers in Pharmacology. 15. 1433137–1433137.
4.
Zhang, Fan, Yaqin Zhang, Na Li, et al.. (2023). COPS3 inhibition promotes cell proliferation blockage and anoikis via regulating PFKFB3 in osteosarcoma cancer cells. European Journal of Pharmacology. 951. 175799–175799. 5 indexed citations
5.
Xia, Yong, Ming Yao, Zhiying Ai, et al.. (2023). Proteomics, Transcriptomics, and Phosphoproteomics Reveal the Mechanism of Talaroconvolutin-A Suppressing Bladder Cancer via Blocking Cell Cycle and Triggering Ferroptosis. Molecular & Cellular Proteomics. 22(12). 100672–100672. 9 indexed citations
6.
Yan, Siyuan, et al.. (2022). The role of PFKFB3 in maintaining colorectal cancer cell proliferation and stemness. Molecular Biology Reports. 49(10). 9877–9891. 13 indexed citations
7.
Xia, Yong, et al.. (2020). Discovery of a novel ferroptosis inducer-talaroconvolutin A—killing colorectal cancer cells in vitro and in vivo. Cell Death and Disease. 11(11). 988–988. 112 indexed citations
8.
Liu, Yingxiang, Jie Ke, Yan Zhang, et al.. (2018). SC1 inhibits the differentiation of F9 embryonic carcinoma cells induced by retinoic acid. Acta Biochimica et Biophysica Sinica. 50(8). 793–799. 2 indexed citations
9.
Wei, Qing, Hongliang Liu, Zhiying Ai, et al.. (2017). SC1 Promotes MiR124-3p Expression to Maintain the Self-Renewal of Mouse Embryonic Stem Cells by Inhibiting the MEK/ERK Pathway. Cellular Physiology and Biochemistry. 44(5). 2057–2072. 6 indexed citations
10.
Ai, Zhiying, Jingjing Shao, Yongyan Wu, et al.. (2016). CHIR99021 enhances Klf4 Expression through β-Catenin Signaling and miR-7a Regulation in J1 Mouse Embryonic Stem Cells. PLoS ONE. 11(3). e0150936–e0150936. 16 indexed citations
11.
Li, Wenzhong, Zhiying Ai, Zhiwei Wang, et al.. (2015). GATA-1 directly regulates Nanog in mouse embryonic stem cells. Biochemical and Biophysical Research Communications. 465(3). 575–579. 2 indexed citations
12.
Zhang, Jingcheng, Yang Gao, Mengying Yu, et al.. (2015). Retinoic Acid Induces Embryonic Stem Cell Differentiation by Altering Both Encoding RNA and microRNA Expression. PLoS ONE. 10(7). e0132566–e0132566. 55 indexed citations
13.
Wu, Yongyan, Yingying Liu, Xiaolei Liu, et al.. (2015). GSK3 inhibitors CHIR99021 and 6-bromoindirubin-3′-oxime inhibit microRNA maturation in mouse embryonic stem cells. Scientific Reports. 5(1). 8666–8666. 28 indexed citations
14.
Ai, Zhiying, Jingjing Shao, Mengying Yu, et al.. (2015). Maintenance of Self‐Renewal and Pluripotency in J1 Mouse Embryonic Stem Cells through Regulating Transcription Factor and MicroRNA Expression Induced by PD0325901. Stem Cells International. 2016(1). 1792573–1792573. 10 indexed citations
15.
Du, Juan, Yongyan Wu, Zhiying Ai, et al.. (2014). Mechanism of SB431542 in inhibiting mouse embryonic stem cell differentiation. Cellular Signalling. 26(10). 2107–2116. 27 indexed citations
16.
Shi, Xiaoyan, Yongyan Wu, Zhiying Ai, et al.. (2014). MicroRNA Modulation Induced by AICA Ribonucleotide in J1 Mouse ES Cells. PLoS ONE. 9(7). e103724–e103724. 3 indexed citations
17.
Du, Juan, Yongyan Wu, Yingying Liu, et al.. (2014). E-Cadherin is Critical for SC1-Induced Colony Growth of F9 Embryonic Carcinoma Cells. Cellular Physiology and Biochemistry. 33(2). 501–512. 5 indexed citations
18.
Wu, Yongyan, Zhiying Ai, Lixia Cao, et al.. (2013). CHIR99021 promotes self-renewal of mouse embryonic stem cells by modulation of protein-encoding gene and long intergenic non-coding RNA expression. Experimental Cell Research. 319(17). 2684–2699. 35 indexed citations
19.
Gao, Yuan, Liping Yang, Linlin Chen, et al.. (2013). Vitamin C facilitates pluripotent stem cell maintenance by promoting pluripotency gene transcription. Biochimie. 95(11). 2107–2113. 29 indexed citations
20.
Shi, Xiaoyan, Yongyan Wu, Zhiying Ai, et al.. (2013). AICAR Sustains J1 Mouse Embryonic Stem Cell Self-Renewal and Pluripotency by Regulating Transcription Factor and Epigenetic Modulator Expression. Cellular Physiology and Biochemistry. 32(2). 459–475. 16 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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