Ying Liu

6.5k total citations
171 papers, 4.0k citations indexed

About

Ying Liu is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ying Liu has authored 171 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Molecular Biology, 32 papers in Genetics and 24 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ying Liu's work include Pluripotent Stem Cells Research (52 papers), RNA Interference and Gene Delivery (35 papers) and CRISPR and Genetic Engineering (35 papers). Ying Liu is often cited by papers focused on Pluripotent Stem Cells Research (52 papers), RNA Interference and Gene Delivery (35 papers) and CRISPR and Genetic Engineering (35 papers). Ying Liu collaborates with scholars based in China, United States and Denmark. Ying Liu's co-authors include Mahendra S. Rao, Xianmin Zeng, William J. Freed, Patricia A. Labosky, Yongquan Luo, Soojung Shin, Ming Zhan, Wenbin Deng, Qinghua Liu and Anna Maria Swistowska and has published in prestigious journals such as Science, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Ying Liu

161 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Liu China 35 2.7k 635 371 352 338 171 4.0k
Mo Li China 36 3.2k 1.2× 561 0.9× 305 0.8× 508 1.4× 251 0.7× 160 4.7k
Sheng Ding United States 35 3.4k 1.3× 488 0.8× 229 0.6× 356 1.0× 401 1.2× 73 4.5k
David J. Milan United States 35 2.6k 1.0× 281 0.4× 213 0.6× 537 1.5× 398 1.2× 83 4.7k
Bart Landuyt Belgium 26 2.1k 0.8× 406 0.6× 418 1.1× 318 0.9× 311 0.9× 52 4.0k
Alexey V. Terskikh United States 34 3.5k 1.3× 315 0.5× 431 1.2× 432 1.2× 530 1.6× 66 5.4k
Mark D. Brigham United States 11 3.2k 1.2× 514 0.8× 270 0.7× 488 1.4× 298 0.9× 21 4.1k
Shun’ichi Kuroda Japan 42 3.7k 1.3× 744 1.2× 308 0.8× 614 1.7× 749 2.2× 196 5.8k
Chengyu Liu United States 44 4.4k 1.6× 467 0.7× 450 1.2× 615 1.7× 402 1.2× 160 7.6k
Jens Kurreck Germany 34 3.9k 1.4× 597 0.9× 639 1.7× 719 2.0× 319 0.9× 133 5.4k
Liu Wang China 31 3.3k 1.2× 489 0.8× 270 0.7× 635 1.8× 203 0.6× 136 4.4k

Countries citing papers authored by Ying Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Liu. A scholar is included among the top collaborators of Ying Liu 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 Ying Liu. Ying Liu 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.
Liu, Ying, et al.. (2025). Sinosenecio tongziensis (Asteraceae), a new species from north Guizhou, China. PhytoKeys. 252. 187–196.
2.
Liu, Ying, Melanie Ghoul, Sandra B. Andersen, et al.. (2025). Occurrence of type VI secretion system effector genes in longitudinal isolates of P. aeruginosa from people with cystic fibrosis. Microbial Genomics. 11(11).
3.
Li, Shenglan, Haipeng Xue, Xiaohui Chen, et al.. (2025). Macrophage Migration Inhibitory Factor Suppresses Natural Killer Cell Response and Promotes Hypoimmunogenic Stem Cell Engraftment Following Spinal Cord Injury. Biology. 14(7). 791–791. 1 indexed citations
4.
Wang, Yuexin, et al.. (2024). Cellular component transfer between photoreceptor cells of the retina. Progress in Retinal and Eye Research. 104. 101317–101317. 1 indexed citations
5.
Liu, Ying, et al.. (2024). Single-atom nanozyme liposome-integrated microneedles for in situ drug delivery and anti-inflammatory therapy in Parkinson’s disease. Journal of Nanobiotechnology. 22(1). 643–643. 10 indexed citations
6.
Liu, Ying, et al.. (2024). Cell–cell interactions between transplanted retinal organoid cells and recipient tissues. Current Opinion in Genetics & Development. 89. 102277–102277. 1 indexed citations
7.
Zhou, Hong, Fuyou Guo, Miao Zhang, et al.. (2023). Chitosan/dsRNA polyplex nanoparticles advance environmental RNA interference efficiency through activating clathrin-dependent endocytosis. International Journal of Biological Macromolecules. 253(Pt 4). 127021–127021. 32 indexed citations
8.
9.
Choi, Kyungah, In-Sik Hwang, Minji Park, et al.. (2022). OCT4-induced oligodendrocyte progenitor cells promote remyelination and ameliorate disease. npj Regenerative Medicine. 7(1). 4–4. 13 indexed citations
10.
Liu, Ying, et al.. (2021). Characterization and allogeneic transplantation of a novel transgenic cone-rich donor mouse line. Experimental Eye Research. 210. 108715–108715. 4 indexed citations
11.
12.
Wang, Hao, Min Yan, Mei Xiong, et al.. (2020). Genetic dissection of thousand-seed weight and fine mapping of cqSW.A03-2 via linkage and association analysis in rapeseed (Brassica napus L.). Theoretical and Applied Genetics. 133(4). 1321–1335. 24 indexed citations
13.
Liu, Ying, Xianming Zhou, Min Yan, et al.. (2019). Fine mapping and candidate gene analysis of a seed glucosinolate content QTL, qGSL-C2, in rapeseed (Brassica napus L.). Theoretical and Applied Genetics. 133(2). 479–490. 20 indexed citations
14.
Luo, Ziming, Chaochao Xu, Kaijing Li, et al.. (2019). Islet1 and Brn3 Expression Pattern Study in Human Retina and hiPSC-Derived Retinal Organoid. Stem Cells International. 2019. 1–14. 20 indexed citations
15.
Wang, Linlin, Tao Bing, Ying Liu, et al.. (2018). Imaging of Neurite Network with an Anti-L1CAM Aptamer Generated by Neurite-SELEX. Journal of the American Chemical Society. 140(51). 18066–18073. 51 indexed citations
16.
Wang, Hongxia, et al.. (2015). Application of body position intervention combined with lying position logo in the patients after retinal vitreous operation. ˜The œJournal of practical nursing. 31(35). 2690–2692.
17.
Hu, Huiling, Fei Deng, Ying Liu, et al.. (2012). Characterization and retinal neuron differentiation of WERI-Rb1 cancer stem cells.. PubMed. 18. 2388–97. 19 indexed citations
18.
Liu, Ying, Oľga Østrup, Juan Li, et al.. (2011). Cell Colony Formation Induced by Xenopus Egg Extract as a Marker for Improvement of Cloned Blastocyst Formation in the Pig. Cellular Reprogramming. 13(6). 521–526. 12 indexed citations
19.
Liu, Ying, Yang Li, Andrew Hwang, et al.. (2011). Comparison of Three Embryo Culture Methods for Derivation of Human Embryonic Stem Cells from Discarded Embryos. Cellular Reprogramming. 13(3). 233–239. 7 indexed citations
20.
Liu, Ying, Xuecheng Ye, Feng Jiang, et al.. (2009). C3PO, an Endoribonuclease That Promotes RNAi by Facilitating RISC Activation. Science. 325(5941). 750–753. 190 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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