Nian Liu

6.5k total citations · 4 hit papers
21 papers, 5.1k citations indexed

About

Nian Liu is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Nian Liu has authored 21 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Cancer Research and 5 papers in Plant Science. Recurrent topics in Nian Liu's work include RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (10 papers) and Chromosomal and Genetic Variations (5 papers). Nian Liu is often cited by papers focused on RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (10 papers) and Chromosomal and Genetic Variations (5 papers). Nian Liu collaborates with scholars based in United States, China and Canada. Nian Liu's co-authors include Tao Pan, Qing Dai, Marc Parisien, Chuan He, Guanqun Zheng, Po‐Chun Hsu, Katherine I. Zhou, Luda Diatchenko, Yi Cui and Weiyang Li and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Nian Liu

19 papers receiving 5.1k citations

Hit Papers

N6-methyladenosine-dependent RNA structural switches regu... 2015 2026 2018 2022 2015 2015 2017 2016 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nian Liu United States 13 3.7k 1.8k 1.2k 661 554 21 5.1k
Leonardo Barrios Spain 28 962 0.3× 759 0.4× 105 0.1× 302 0.5× 699 1.3× 107 2.5k
Guorong Xu China 35 610 0.2× 276 0.2× 940 0.8× 199 0.3× 1.1k 2.0× 121 3.7k
Jinke Wang China 30 866 0.2× 286 0.2× 192 0.2× 283 0.4× 682 1.2× 151 3.3k
Lulu Hu China 27 1.7k 0.5× 510 0.3× 260 0.2× 94 0.1× 104 0.2× 75 2.8k
Yu Jiang China 29 850 0.2× 166 0.1× 824 0.7× 159 0.2× 1.1k 2.0× 99 2.6k
Thomas R. Pisanic United States 20 738 0.2× 243 0.1× 126 0.1× 915 1.4× 1.3k 2.3× 37 2.7k
Shuchun Li China 21 635 0.2× 408 0.2× 419 0.3× 79 0.1× 152 0.3× 66 1.7k
Junji Fukuda Japan 36 966 0.3× 179 0.1× 335 0.3× 872 1.3× 2.9k 5.3× 161 4.6k
Yuchen Wang China 26 673 0.2× 244 0.1× 394 0.3× 228 0.3× 993 1.8× 109 2.9k
Wantae Kim South Korea 27 1.1k 0.3× 423 0.2× 203 0.2× 183 0.3× 352 0.6× 98 2.7k

Countries citing papers authored by Nian Liu

Since Specialization
Citations

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

Fields of papers citing papers by Nian Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nian Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Nian Liu. A scholar is included among the top collaborators of Nian 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 Nian Liu. Nian 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.
Zhang, Lingwei, Hong Chen, Huimin Xie, et al.. (2025). Targeting LINC02320 prevents colorectal cancer growth via GRB7-dependent inhibition of MAPK signaling pathway. Cellular & Molecular Biology Letters. 30(1). 86–86.
2.
Li, Xiufeng & Nian Liu. (2025). Advances in understanding LINE-1 regulation and function in the human genome. Trends in Genetics. 41(7). 577–589. 2 indexed citations
3.
Zhu, Shicong, Yaqiang Hong, Rui Ma, et al.. (2025). Composite transposons with bivalent histone marks function as RNA-dependent enhancers in cell fate regulation. Cell. 188(21). 5878–5894.e18.
4.
Hong, Yaqiang, Tao Zhang, Xiaohan Yan, et al.. (2024). SAFB restricts contact domain boundaries associated with L1 chimeric transcription. Molecular Cell. 84(9). 1637–1650.e10. 9 indexed citations
5.
Li, Xiufeng, Yang Wang, Yaqiang Hong, et al.. (2024). LINE-1 transcription activates long-range gene expression. Nature Genetics. 56(7). 1494–1502. 33 indexed citations
6.
Liu, Nian, et al.. (2024). Can digital technologies mitigate supply chain volatility? Empirical evidence from China. International Journal of Logistics Research and Applications. 28(5). 475–494. 2 indexed citations
7.
Yan, Kun, Yaqiang Hong, Yi Wang, et al.. (2023). Fimepinostat Impairs NFκB and PI3K/AKT Signaling and Enhances Gemcitabine Efficacy in H3.3K27M-Diffuse Intrinsic Pontine Glioma. Cancer Research. 84(4). 598–615. 12 indexed citations
8.
Liu, Siyi, et al.. (2019). The Effects of Air Pollution on Firms’ Internal Control Quality: Evidence from China. Sustainability. 11(18). 5068–5068. 9 indexed citations
9.
Zhou, Katherine I., Nian Liu, & Tao Pan. (2017). Identification of N 6 -methyladenosine reader proteins. Methods. 126. 105–111. 5 indexed citations
10.
Liu, Nian, Katherine I. Zhou, Marc Parisien, et al.. (2017). N 6-methyladenosine alters RNA structure to regulate binding of a low-complexity protein. Nucleic Acids Research. 45(10). 6051–6063. 626 indexed citations breakdown →
11.
Liu, Nian, Tomek Swigut, Edward J. Grow, et al.. (2017). Selective silencing of euchromatic L1s revealed by genome-wide screens for L1 regulators. Nature. 553(7687). 228–232. 223 indexed citations
12.
Zhang, Rufan, Chong Liu, Po‐Chun Hsu, et al.. (2016). Nanofiber Air Filters with High-Temperature Stability for Efficient PM2.5 Removal from the Pollution Sources. Nano Letters. 16(6). 3642–3649. 464 indexed citations breakdown →
13.
Liu, Nian & Tao Pan. (2016). N6-methyladenosine–encoded epitranscriptomics. Nature Structural & Molecular Biology. 23(2). 98–102. 259 indexed citations
14.
Liu, Nian & Tao Pan. (2015). Probing RNA Modification Status at Single-Nucleotide Resolution in Total RNA. Methods in enzymology on CD-ROM/Methods in enzymology. 560. 149–159. 37 indexed citations
15.
Liu, Chong, Po‐Chun Hsu, Hyun‐Wook Lee, et al.. (2015). Transparent air filter for high-efficiency PM2.5 capture. Nature Communications. 6(1). 6205–6205. 847 indexed citations breakdown →
16.
Zhou, Katherine I., Marc Parisien, Qing Dai, et al.. (2015). N6-Methyladenosine Modification in a Long Noncoding RNA Hairpin Predisposes Its Conformation to Protein Binding. Journal of Molecular Biology. 428(5). 822–833. 164 indexed citations
17.
Liu, Nian, Qing Dai, Guanqun Zheng, et al.. (2015). N6-methyladenosine-dependent RNA structural switches regulate RNA–protein interactions. Nature. 518(7540). 560–564. 1549 indexed citations breakdown →
18.
Liu, Nian & Tao Pan. (2014). RNA epigenetics. Translational research. 165(1). 28–35. 102 indexed citations
19.
Chen, Kai, Zhike Lu, Xiao Wang, et al.. (2014). High‐Resolution N6‐Methyladenosine (m6A) Map Using Photo‐Crosslinking‐Assisted m6A Sequencing. Angewandte Chemie International Edition. 54(5). 1587–1590. 332 indexed citations
20.
Liu, Nian, Marc Parisien, Qing Dai, et al.. (2013). Probing N6-methyladenosine RNA modification status at single nucleotide resolution in mRNA and long noncoding RNA. RNA. 19(12). 1848–1856. 424 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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