Haiying Liu

2.0k total citations
37 papers, 1.5k citations indexed

About

Haiying Liu is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Haiying Liu has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 16 papers in Physiology and 7 papers in Cancer Research. Recurrent topics in Haiying Liu's work include Telomeres, Telomerase, and Senescence (15 papers), DNA Repair Mechanisms (9 papers) and CRISPR and Genetic Engineering (7 papers). Haiying Liu is often cited by papers focused on Telomeres, Telomerase, and Senescence (15 papers), DNA Repair Mechanisms (9 papers) and CRISPR and Genetic Engineering (7 papers). Haiying Liu collaborates with scholars based in China, United States and Australia. Haiying Liu's co-authors include Yong Zhao, Luke O'neill, Foo Y. Liew, Aisling Dunne, Elizabeth Brint, Damo Xu, Andrew N. J. McKenzie, Canfeng Zhang, Chen Xie and Yuanlong Ge and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Haiying Liu

36 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiying Liu China 20 883 475 335 301 144 37 1.5k
Ya Zhou China 24 809 0.9× 358 0.8× 91 0.3× 677 2.2× 151 1.0× 75 1.4k
Rocío T. Martínez-Núñez United Kingdom 14 616 0.7× 408 0.9× 144 0.4× 489 1.6× 58 0.4× 30 1.1k
Christopher W. Peterson United States 21 795 0.9× 258 0.5× 193 0.6× 144 0.5× 287 2.0× 49 1.4k
Sophia Djebali France 14 336 0.4× 657 1.4× 165 0.5× 81 0.3× 267 1.9× 21 1.1k
Mark M. Perry United Kingdom 18 1.4k 1.6× 435 0.9× 285 0.9× 1.3k 4.3× 67 0.5× 26 2.2k
Iván Martínez United States 16 935 1.1× 101 0.2× 106 0.3× 760 2.5× 152 1.1× 29 1.3k
Tianxia Lan China 15 643 0.7× 461 1.0× 74 0.2× 185 0.6× 391 2.7× 23 1.5k
Timo Pikkarainen Sweden 23 752 0.9× 794 1.7× 136 0.4× 126 0.4× 98 0.7× 37 1.9k
S Kyo Japan 13 777 0.9× 180 0.4× 735 2.2× 97 0.3× 167 1.2× 14 1.4k
Emilio Boada-Romero United States 11 499 0.6× 659 1.4× 209 0.6× 108 0.4× 81 0.6× 14 1.4k

Countries citing papers authored by Haiying Liu

Since Specialization
Citations

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

Fields of papers citing papers by Haiying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiying Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiying Liu. A scholar is included among the top collaborators of Haiying 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 Haiying Liu. Haiying 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, Haiying, Xin Nie, Fengwei Wang, et al.. (2024). An integrated transcriptomic analysis of brain aging and strategies for healthy aging. Frontiers in Aging Neuroscience. 16. 1450337–1450337.
2.
Hu, Sihui, Yuxi Chen, Yitong Zhou, et al.. (2024). In vivo adenine base editing ameliorates Rho-associated autosomal dominant retinitis pigmentosa. Journal of genetics and genomics. 52(7). 887–900. 5 indexed citations
3.
Hu, Sihui, et al.. (2023). Nme2Cas9‐mediated therapeutic editing in inhibiting angiogenesis after wet age‐related macular degeneration onset. Clinical and Translational Medicine. 13(8). e1383–e1383. 3 indexed citations
4.
Zhang, Canfeng, Liping Chen, Chen Xie, et al.. (2023). YTHDC1 delays cellular senescence and pulmonary fibrosis by activating ATR in an m6A-independent manner. The EMBO Journal. 43(1). 61–86. 23 indexed citations
5.
Zhang, Canfeng, Liping Chen, Kai Ren, et al.. (2023). BMAL1 collaborates with CLOCK to directly promote DNA double-strand break repair and tumor chemoresistance. Oncogene. 42(13). 967–979. 20 indexed citations
6.
Chen, Dandan, et al.. (2023). RBMX involves in telomere stability maintenance by regulating TERRA expression. PLoS Genetics. 19(9). e1010937–e1010937. 6 indexed citations
7.
Chen, Yanlian, et al.. (2022). TERC suppresses PD-L1 expression by downregulating RNA binding protein HuR. Science China Life Sciences. 65(12). 2505–2516. 8 indexed citations
8.
Chen, Liping, Canfeng Zhang, Wenbin Ma, et al.. (2022). METTL3-mediated m6A modification stabilizes TERRA and maintains telomere stability. Nucleic Acids Research. 50(20). 11619–11634. 71 indexed citations
9.
Zhang, Canfeng, Liping Chen, Di Peng, et al.. (2020). METTL3 and N6-Methyladenosine Promote Homologous Recombination-Mediated Repair of DSBs by Modulating DNA-RNA Hybrid Accumulation. Molecular Cell. 79(3). 425–442.e7. 227 indexed citations
10.
Zhou, Haoxian, Di Peng, Yanru Zeng, et al.. (2020). RBMX is required for activation of ATR on repetitive DNAs to maintain genome stability. Cell Death and Differentiation. 27(11). 3162–3176. 20 indexed citations
11.
Xiao, Danqing, Yuanlong Ge, Haoxian Zhou, et al.. (2020). TRF2 recruits nucleolar protein TCOF1 to coordinate telomere transcription and replication. Cell Death and Differentiation. 28(3). 1062–1075. 20 indexed citations
12.
Chen, Yanlian, Chen Xie, Xiaohui Zheng, et al.. (2019). LIN28/ let-7 /PD-L1 Pathway as a Target for Cancer Immunotherapy. Cancer Immunology Research. 7(3). 487–497. 69 indexed citations
13.
Zhang, Zepeng, Tianpeng Zhang, Yuanlong Ge, et al.. (2019). 2D gel electrophoresis reveals dynamics of t-loop formation during the cell cycle and t-loop in maintenance regulated by heterochromatin state. Journal of Biological Chemistry. 294(16). 6645–6656. 5 indexed citations
14.
Ge, Yuanlong, Shu‐Biao Wu, Zepeng Zhang, et al.. (2019). Inhibition of p53 and/or AKT as a new therapeutic approach specifically targeting ALT cancers. Protein & Cell. 10(11). 808–824. 17 indexed citations
15.
Zhang, Tianpeng, Zepeng Zhang, Feng Li, et al.. (2017). Looping‐out mechanism for resolution of replicative stress at telomeres. EMBO Reports. 18(8). 1412–1428. 21 indexed citations
16.
Zhang, Zepeng, Hong Zhang, Haiying Liu, et al.. (2016). Homologous recombination-dependent repair of telomeric DSBs in proliferating human cells. Nature Communications. 7(1). 12154–12154. 63 indexed citations
17.
Liu, Haiying, Qianqian Liu, Yuanlong Ge, et al.. (2016). hTERT promotes cell adhesion and migration independent of telomerase activity. Scientific Reports. 6(1). 22886–22886. 52 indexed citations
18.
Liu, Haiying, Padma Murthi, Gina D. Kusuma, et al.. (2014). A Novel Combination of Homeobox Genes Is Expressed in Mesenchymal Chorionic Stem/Stromal Cells in First Trimester and Term Pregnancies. Reproductive Sciences. 21(11). 1382–1394. 13 indexed citations
19.
Bai, Xiyuan, Kathryn Chmura, Alida R. Ovrutsky, et al.. (2010). Mycobacterium tuberculosis increases IP-10 and MIG protein despite inhibition of IP-10 and MIG transcription. Tuberculosis. 91(1). 26–35. 13 indexed citations
20.
Brint, Elizabeth, Damo Xu, Haiying Liu, et al.. (2004). ST2 is an inhibitor of interleukin 1 receptor and Toll-like receptor 4 signaling and maintains endotoxin tolerance. Nature Immunology. 5(4). 373–379. 409 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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