Qi‐Long Ying

11.0k total citations · 5 hit papers
64 papers, 8.3k citations indexed

About

Qi‐Long Ying is a scholar working on Molecular Biology, Biomedical Engineering and Cancer Research. According to data from OpenAlex, Qi‐Long Ying has authored 64 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 10 papers in Biomedical Engineering and 9 papers in Cancer Research. Recurrent topics in Qi‐Long Ying's work include Pluripotent Stem Cells Research (43 papers), CRISPR and Genetic Engineering (29 papers) and 3D Printing in Biomedical Research (10 papers). Qi‐Long Ying is often cited by papers focused on Pluripotent Stem Cells Research (43 papers), CRISPR and Genetic Engineering (29 papers) and 3D Printing in Biomedical Research (10 papers). Qi‐Long Ying collaborates with scholars based in United States, China and United Kingdom. Qi‐Long Ying's co-authors include Austin Smith, Jennifer Nichols, Jason Wray, James R. Woodgett, Bradley W. Doble, Laura Batlle‐Morera, Philip Cohen, E.P. Evans, Marios P. Stavridis and Meng Li and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Qi‐Long Ying

63 papers receiving 8.2k citations

Hit Papers

The ground state of embryonic stem cell self-renewal 2002 2026 2010 2018 2008 2003 2002 2005 2008 500 1000 1.5k 2.0k 2.5k

Peers

Qi‐Long Ying
In-Hyun Park United States
Jeff Nie United States
Stuart M. Chambers United States
Matthias Stadtfeld United States
Maxim A. Vodyanik United States
Dirk Hockemeyer United States
Shulan Tian United States
Chad A. Cowan United States
Eirini P. Papapetrou United States
In-Hyun Park United States
Qi‐Long Ying
Citations per year, relative to Qi‐Long Ying Qi‐Long Ying (= 1×) peers In-Hyun Park

Countries citing papers authored by Qi‐Long Ying

Since Specialization
Citations

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

Fields of papers citing papers by Qi‐Long Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi‐Long Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Qi‐Long Ying. A scholar is included among the top collaborators of Qi‐Long Ying 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 Qi‐Long Ying. Qi‐Long Ying 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, Duo, Chang Liu, Huan Liu, et al.. (2021). ERG1 plays an essential role in rat cardiomyocyte fate decision by mediating AKT signaling. Stem Cells. 39(4). 443–457. 6 indexed citations
2.
Wang, Duo, Yumei Wang, Huan Liu, et al.. (2019). Laminin promotes differentiation of rat embryonic stem cells into cardiomyocytes by activating the integrin/FAK/PI3K p85 pathway. Journal of Cellular and Molecular Medicine. 23(5). 3629–3640. 14 indexed citations
3.
Wang, Manman, Ling Tang, Dahai Liu, Qi‐Long Ying, & Shoudong Ye. (2017). The transcription factor Gbx2 induces expression of Kruppel-like factor 4 to maintain and induce naïve pluripotency of embryonic stem cells. Journal of Biological Chemistry. 292(41). 17121–17128. 16 indexed citations
4.
Tang, Ling, et al.. (2017). Sp5 induces the expression of Nanog to maintain mouse embryonic stem cell self-renewal. PLoS ONE. 12(9). e0185714–e0185714. 10 indexed citations
5.
Sun, Hong‐Wei, Xiaohu Wang, Kuisheng Liu, et al.. (2017). β-catenin coordinates with Jup and the TCF1/GATA6 axis to regulate human embryonic stem cell fate. Developmental Biology. 431(2). 272–281. 9 indexed citations
6.
Zhou, Xingliang, et al.. (2017). Cytoplasmic and Nuclear TAZ Exert Distinct Functions in Regulating Primed Pluripotency. Stem Cell Reports. 9(3). 732–741. 19 indexed citations
7.
Ying, Qi‐Long & Austin Smith. (2017). The Art of Capturing Pluripotency: Creating the Right Culture. Stem Cell Reports. 8(6). 1457–1464. 35 indexed citations
8.
Jiang, Junfeng, Li Zhang, Xingliang Zhou, et al.. (2016). Induction of site-specific chromosomal translocations in embryonic stem cells by CRISPR/Cas9. Scientific Reports. 6(1). 21918–21918. 36 indexed citations
9.
Dong, Hangming, Mengchen Zou, Ayesha Bhatia, et al.. (2016). Breast Cancer MDA-MB-231 Cells Use Secreted Heat Shock Protein-90alpha (Hsp90α) to Survive a Hostile Hypoxic Environment. Scientific Reports. 6(1). 20605–20605. 53 indexed citations
10.
Zou, Mengchen, Ashish C. Bhatia, Hangming Dong, et al.. (2016). Evolutionarily conserved dual lysine motif determines the non-chaperone function of secreted Hsp90alpha in tumour progression. Oncogene. 36(15). 2160–2171. 60 indexed citations
11.
Huang, Guanyi, Shoudong Ye, Xingliang Zhou, Dahai Liu, & Qi‐Long Ying. (2015). Molecular basis of embryonic stem cell self-renewal: from signaling pathways to pluripotency network. Cellular and Molecular Life Sciences. 72(9). 1741–1757. 119 indexed citations
12.
Ye, Shoudong, Dahai Liu, & Qi‐Long Ying. (2014). Signaling pathways in induced naïve pluripotency. Current Opinion in Genetics & Development. 28. 10–15. 19 indexed citations
13.
Ye, Shoudong, Ping Li, Chang Tong, & Qi‐Long Ying. (2013). Embryonic stem cell self‐renewal pathways converge on the transcription factor Tfcp2l1. The EMBO Journal. 32(19). 2548–2560. 150 indexed citations
14.
Tong, Chang, Guanyi Huang, Charles Ashton, et al.. (2012). Rapid and Cost-Effective Gene Targeting in Rat Embryonic Stem Cells by TALENs. Journal of genetics and genomics. 39(6). 275–280. 54 indexed citations
15.
Ye, Shoudong, Li Tan, Rongqing Yang, et al.. (2012). Pleiotropy of Glycogen Synthase Kinase-3 Inhibition by CHIR99021 Promotes Self-Renewal of Embryonic Stem Cells from Refractory Mouse Strains. PLoS ONE. 7(4). e35892–e35892. 70 indexed citations
16.
Tong, Chang, Guanyi Huang, Charles Ashton, Ping Li, & Qi‐Long Ying. (2011). Generating gene knockout rats by homologous recombination in embryonic stem cells. Nature Protocols. 6(6). 827–844. 67 indexed citations
17.
Wang, Zhiqiang, Kai Chen, Qi‐Long Ying, Ping Li, & Jean C. Shih. (2011). Monoamine oxidase A regulates neural differentiation of murine embryonic stem cells. Journal of Neural Transmission. 118(7). 997–1001. 7 indexed citations
18.
Nichols, Jennifer & Qi‐Long Ying. (2006). Derivation and Propagation of Embryonic Stem Cells in Serum- and Feeder-Free Culture. Humana Press eBooks. 329. 91–98. 46 indexed citations
19.
Ying, Qi‐Long & Austin Smith. (2003). Defined Conditions for Neural Commitment and Differentiation. Methods in enzymology on CD-ROM/Methods in enzymology. 365. 327–341. 264 indexed citations
20.
Zhang, Meilin, et al.. (1985). Frequencies of Ceruloplasmin Alleles in a Chinese Population. Human Heredity. 35(2). 117–119. 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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