Shu‐Tao Qi

1.2k total citations
40 papers, 870 citations indexed

About

Shu‐Tao Qi is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cell Biology. According to data from OpenAlex, Shu‐Tao Qi has authored 40 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 24 papers in Public Health, Environmental and Occupational Health and 19 papers in Cell Biology. Recurrent topics in Shu‐Tao Qi's work include Reproductive Biology and Fertility (24 papers), Microtubule and mitosis dynamics (19 papers) and Epigenetics and DNA Methylation (7 papers). Shu‐Tao Qi is often cited by papers focused on Reproductive Biology and Fertility (24 papers), Microtubule and mitosis dynamics (19 papers) and Epigenetics and DNA Methylation (7 papers). Shu‐Tao Qi collaborates with scholars based in China, United States and India. Shu‐Tao Qi's co-authors include Qing‐Yuan Sun, Heide Schatten, Yi Hou, Ying‐Chun Ouyang, Zhen‐Bo Wang, Jingshan Tong, Yapeng Wang, Wei‐Hua Wang, Lifeng Liang and Yexing Xian and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Shu‐Tao Qi

38 papers receiving 859 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu‐Tao Qi China 19 580 301 236 109 108 40 870
Xiangmin Lv United States 13 395 0.7× 107 0.4× 313 1.3× 109 1.0× 59 0.5× 19 751
Lionel Domenjoud France 16 500 0.9× 60 0.2× 60 0.3× 85 0.8× 110 1.0× 28 707
Qiongchao Xi United States 8 325 0.6× 50 0.2× 47 0.2× 96 0.9× 30 0.3× 8 596
Dale A. Freeman United States 13 287 0.5× 47 0.2× 69 0.3× 41 0.4× 82 0.8× 25 620
Mario A. Russo Italy 10 406 0.7× 170 0.6× 104 0.4× 37 0.3× 421 3.9× 11 842
Zhi‐Xia Yang China 11 255 0.4× 91 0.3× 53 0.2× 51 0.5× 47 0.4× 25 427
Elizabeth Shipp United States 9 287 0.5× 117 0.4× 30 0.1× 59 0.5× 219 2.0× 14 634
A. Jeannine Lincoln United States 9 401 0.7× 166 0.6× 121 0.5× 25 0.2× 63 0.6× 10 558
Linah Al-Alem United States 14 259 0.4× 141 0.5× 35 0.1× 132 1.2× 164 1.5× 25 602
Sally A. Little United States 17 392 0.7× 82 0.3× 69 0.3× 67 0.6× 12 0.1× 30 630

Countries citing papers authored by Shu‐Tao Qi

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐Tao Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Tao Qi. 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 Shu‐Tao Qi. The network helps show where Shu‐Tao Qi may publish in the future.

Co-authorship network of co-authors of Shu‐Tao Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Tao Qi. A scholar is included among the top collaborators of Shu‐Tao Qi 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 Shu‐Tao Qi. Shu‐Tao Qi 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.
Zhang, Jie, Xinming Wang, Hao Tang, et al.. (2025). CRISPR live-cell imaging reveals chromatin dynamics and enhancer interactions at multiple non-repetitive loci. Nature Biotechnology.
2.
Hu, Songnian, Guanchen Li, Shu‐Tao Qi, et al.. (2025). Post-replicative initial expression of PAX6 during neuroectoderm differentiation. The EMBO Journal. 44(23). 7090–7118.
3.
Qi, Shu‐Tao, Zhubing Shi, & Hongtao Yu. (2025). Genome folding by cohesin. Current Opinion in Genetics & Development. 91. 102310–102310. 1 indexed citations
4.
He, Maozhou, Ting Cao, Mengquan Yang, et al.. (2023). Cryo-EM structure of human O-GlcNAcylation enzyme pair OGT-OGA complex. Nature Communications. 14(1). 6952–6952. 20 indexed citations
5.
Sivakumar, Sushama, Shu‐Tao Qi, Adwait Amod Sathe, et al.. (2022). TP53 promotes lineage commitment of human embryonic stem cells through ciliogenesis and sonic hedgehog signaling. Cell Reports. 38(7). 110395–110395. 18 indexed citations
6.
Qi, Shu‐Tao, Sushama Sivakumar, & Hongtao Yu. (2022). CRISPR-Cas9 screen in human embryonic stem cells to identify genes required for neural differentiation. STAR Protocols. 3(4). 101682–101682. 1 indexed citations
7.
Qi, Shu‐Tao, et al.. (2019). Structural basis of tubulin detyrosination by vasohibins. Nature Structural & Molecular Biology. 26(7). 583–591. 51 indexed citations
8.
Liang, Lifeng, Shu‐Tao Qi, Yexing Xian, et al.. (2017). Protective effect of antioxidants on the pre-maturation aging of mouse oocytes. Scientific Reports. 7(1). 1434–1434. 45 indexed citations
9.
Li, Li, Shu‐Tao Qi, Qing‐Yuan Sun, & Shiling Chen. (2017). CENP-A regulates chromosome segregation during the first meiosis of mouse oocytes. Journal of Huazhong University of Science and Technology [Medical Sciences]. 37(3). 313–318. 3 indexed citations
10.
Qi, Shu‐Tao, Junyu Ma, Zhen‐Bo Wang, et al.. (2016). N6-Methyladenosine Sequencing Highlights the Involvement of mRNA Methylation in Oocyte Meiotic Maturation and Embryo Development by Regulating Translation in Xenopus laevis. Journal of Biological Chemistry. 291(44). 23020–23026. 66 indexed citations
11.
Ma, Xue‐Shan, Shu‐Tao Qi, Zhen‐Bo Wang, et al.. (2015). Cep55 regulates spindle organization and cell cycle progression in meiotic oocyte. Scientific Reports. 5(1). 16978–16978. 47 indexed citations
12.
Zhang, Teng, Yang Zhou, Shu‐Tao Qi, et al.. (2015). Nuf2 is required for chromosome segregation during mouse oocyte meiotic maturation. Cell Cycle. 14(16). 2701–2710. 25 indexed citations
13.
Zhang, Qinghua, Shu‐Tao Qi, Zhongwei Wang, et al.. (2015). Deletion of Mylk1 in Oocytes Causes Delayed Morula-to-Blastocyst Transition and Reduced Fertility Without Affecting Folliculogenesis and Oocyte Maturation in Mice1. Biology of Reproduction. 92(4). 97–97. 9 indexed citations
14.
Jiang, Zhizhong, Mengwen Hu, Li Huang, et al.. (2014). Survivin is essential for fertile egg production and female fertility in mice. Cell Death and Disease. 5(3). e1154–e1154. 19 indexed citations
15.
Zhang, Chunhui, Weiping Qian, Shu‐Tao Qi, et al.. (2013). Maternal diabetes causes abnormal dynamic changes of endoplasmic reticulum during mouse oocyte maturation and early embryo development. Reproductive Biology and Endocrinology. 11(1). 31–31. 34 indexed citations
16.
Huang, Hao, Chen Gao, Lei Chen, et al.. (2013). The Distribution and Possible Role of ERK8 in Mouse Oocyte Meiotic Maturation and Early Embryo Cleavage. Microscopy and Microanalysis. 19(1). 190–200. 5 indexed citations
17.
Zhu, Jinliang, Shu‐Tao Qi, Yapeng Wang, et al.. (2011). Septin1 is required for spindle assembly and chromosome congression in mouse oocytes. Developmental Dynamics. 240(10). 2281–2289. 15 indexed citations
18.
Tong, Jingshan, Qinghua Zhang, Xin Huang, et al.. (2011). Icaritin Causes Sustained ERK1/2 Activation and Induces Apoptosis in Human Endometrial Cancer Cells. PLoS ONE. 6(3). e16781–e16781. 124 indexed citations
19.
Zhang, Qing-Hua, Wei Liang, Jingshan Tong, et al.. (2010). Localization and function of mSpindly during mouse oocyte meiotic maturation. Cell Cycle. 9(11). 2230–2236. 13 indexed citations
20.
Yuan, Ju, Baozeng Xu, Shu‐Tao Qi, et al.. (2010). MAPK-Activated Protein Kinase 2 Is Required for Mouse Meiotic Spindle Assembly and Kinetochore-Microtubule Attachment. PLoS ONE. 5(6). e11247–e11247. 17 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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