Liangqi Xie

2.5k total citations · 1 hit paper
21 papers, 1.3k citations indexed

About

Liangqi Xie is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Liangqi Xie has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Oncology. Recurrent topics in Liangqi Xie's work include Genomics and Chromatin Dynamics (8 papers), RNA Research and Splicing (6 papers) and CRISPR and Genetic Engineering (5 papers). Liangqi Xie is often cited by papers focused on Genomics and Chromatin Dynamics (8 papers), RNA Research and Splicing (6 papers) and CRISPR and Genetic Engineering (5 papers). Liangqi Xie collaborates with scholars based in United States, China and Sweden. Liangqi Xie's co-authors include Robert Tjian, Zhe Liu, Xavier Darzacq, Luye An, Sheila S. Teves, Anders S. Hansen, Luke D. Lavis, Jonathan B. Grimm, Jennifer Lippincott‐Schwartz and Ariana N. Tkachuk and has published in prestigious journals such as Science, Nature Communications and Nature Genetics.

In The Last Decade

Liangqi Xie

21 papers receiving 1.3k citations

Hit Papers

Dynamics of CRISPR-Cas9 genome interrogation in living cells 2015 2026 2018 2022 2015 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Dynamics of CRISPR-Cas9 genome interrogation in living cells
    2015 265 citations Spencer C. Knight, Liangqi Xie et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liangqi Xie United States 12 963 192 108 100 98 21 1.3k
Linda Joosen Netherlands 10 874 0.9× 335 1.7× 111 1.0× 84 0.8× 64 0.7× 12 1.2k
Jan L. Vinkenborg Netherlands 12 690 0.7× 112 0.6× 72 0.7× 105 1.1× 114 1.2× 14 1.0k
Sambashiva Banala United States 11 957 1.0× 132 0.7× 82 0.8× 91 0.9× 71 0.7× 16 1.2k
Rajesh B. Sekar United States 7 587 0.6× 163 0.8× 122 1.1× 135 1.4× 21 0.2× 12 1.0k
Francesca Bottanelli Germany 16 643 0.7× 197 1.0× 68 0.6× 94 0.9× 127 1.3× 27 1.1k
Takako Kogure Japan 8 662 0.7× 286 1.5× 60 0.6× 64 0.6× 28 0.3× 9 1.1k
Laurie L. Parker United States 20 731 0.8× 38 0.2× 136 1.3× 64 0.6× 84 0.9× 56 1.3k
Martin Stöckl Germany 18 912 0.9× 63 0.3× 68 0.6× 112 1.1× 19 0.2× 24 1.3k
Francesca De Giorgi Italy 13 615 0.6× 232 1.2× 46 0.4× 72 0.7× 22 0.2× 15 887
Robert DeRose United States 9 579 0.6× 47 0.2× 70 0.6× 86 0.9× 51 0.5× 11 766

Countries citing papers authored by Liangqi Xie

Since Specialization
Citations

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

Fields of papers citing papers by Liangqi Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangqi Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Liangqi Xie. A scholar is included among the top collaborators of Liangqi Xie 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 Liangqi Xie. Liangqi Xie 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.
Xie, Liangqi, Min Hu, Yi Ru, et al.. (2024). Effect and mechanism of Jinkui Shenqi Pill on preventing neural tube defects in mice based on network pharmacology. Journal of Ethnopharmacology. 334. 118587–118587. 2 indexed citations
2.
Dong, Peng, Shu Zhang, Valentina Gandin, et al.. (2024). Cohesin prevents cross-domain gene coactivation. Nature Genetics. 56(8). 1654–1664. 7 indexed citations
3.
Zheng, Dejin, Liangqi Xie, Diana Bell, et al.. (2024). Brd4::Nutm1fusion gene initiates NUT carcinoma in vivo. Life Science Alliance. 7(7). e202402602–e202402602. 4 indexed citations
4.
Huang, Haidong, Hao Jing, Jianhong Lin, et al.. (2024). Long non-coding RNA lung cancer-associated transcript-1 promotes glioblastoma progression by enhancing Hypoxia-inducible factor 1 alpha activity. Neuro-Oncology. 26(8). 1388–1401. 11 indexed citations
5.
Lee, Lindsay, Hongyu Yu, Chenxu Zhu, et al.. (2023). SnapFISH: a computational pipeline to identify chromatin loops from multiplexed DNA FISH data. Nature Communications. 14(1). 4873–4873. 5 indexed citations
6.
Wang, Xinliang, Yanrong Li, Qiang Gong, et al.. (2023). Wuzi Yanzong Pill protects neural tube defects by activating PI3K/Akt signaling pathway. International Journal of Developmental Neuroscience. 83(5). 417–430. 2 indexed citations
7.
Wang, Xinliang, Yi Ru, Liangqi Xie, et al.. (2023). An optimal combination of five main monomer components in Wuzi Yanzong Pill that prevents neural tube defects and reduces apoptosis and oxidative stress. Journal of Ethnopharmacology. 313. 116540–116540. 8 indexed citations
8.
Xie, Liangqi, Peng Dong, Yifeng Qi, et al.. (2022). BRD2 compartmentalizes the accessible genome. Nature Genetics. 54(4). 481–491. 31 indexed citations
9.
Grimm, Jonathan B., Liangqi Xie, Jason C. Casler, et al.. (2021). A General Method to Improve Fluorophores Using Deuterated Auxochromes. SHILAP Revista de lepidopterología. 1(5). 690–696. 125 indexed citations
10.
Xie, Liangqi & Zhe Liu. (2021). Single‐cell imaging of genome organization and dynamics. Molecular Systems Biology. 17(7). e9653–e9653. 25 indexed citations
11.
Grimm, Jonathan B., Ariana N. Tkachuk, Liangqi Xie, et al.. (2020). A general method to optimize and functionalize red-shifted rhodamine dyes. Nature Methods. 17(8). 815–821. 201 indexed citations
12.
Xie, Liangqi, Peng Dong, Xingqi Chen, et al.. (2020). 3D ATAC-PALM: super-resolution imaging of the accessible genome. Nature Methods. 17(4). 430–436. 55 indexed citations
13.
Teves, Sheila S., et al.. (2018). A stable mode of bookmarking by TBP recruits RNA polymerase II to mitotic chromosomes. eLife. 7. 80 indexed citations
14.
Xie, Liangqi, Sharon E. Torigoe, Jerry Xiao, et al.. (2017). A dynamic interplay of enhancer elements regulates Klf4 expression in naïve pluripotency. Genes & Development. 31(17). 1795–1808. 44 indexed citations
15.
16.
Teves, Sheila S., Luye An, Anders S. Hansen, et al.. (2016). A dynamic mode of mitotic bookmarking by transcription factors. eLife. 5. 197 indexed citations
17.
Xiao, Jerry, et al.. (2016). Resetting Human Naïve Pluripotency. SHILAP Revista de lepidopterología. 8. 37–41. 5 indexed citations
18.
Knight, Spencer C., Liangqi Xie, Wulan Deng, et al.. (2015). Dynamics of CRISPR-Cas9 genome interrogation in living cells. Science. 350(6262). 823–826. 265 indexed citations breakdown →
19.
20.
Xie, Liangqi, Carl Pelz, Wensi Wang, et al.. (2011). KDM5B regulates embryonic stem cell self‐renewal and represses cryptic intragenic transcription. The EMBO Journal. 30(8). 1473–1484. 131 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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