Song‐Mei Liu

3.4k total citations · 1 hit paper
67 papers, 2.5k citations indexed

About

Song‐Mei Liu is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Song‐Mei Liu has authored 67 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 19 papers in Cancer Research and 7 papers in Epidemiology. Recurrent topics in Song‐Mei Liu's work include RNA modifications and cancer (16 papers), Cancer-related molecular mechanisms research (11 papers) and MicroRNA in disease regulation (9 papers). Song‐Mei Liu is often cited by papers focused on RNA modifications and cancer (16 papers), Cancer-related molecular mechanisms research (11 papers) and MicroRNA in disease regulation (9 papers). Song‐Mei Liu collaborates with scholars based in China, United States and Maldives. Song‐Mei Liu's co-authors include Ying Yang, Jingtao Huang, Zhenxian Liu, Li‐Man Li, Hui‐Lung Sun, Xiang Zhou, Bi‐Feng Yuan, Xin Zhou, Shaomin Chen and Wei Huang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Song‐Mei Liu

58 papers receiving 2.5k citations

Hit Papers

m6A mRNA methylation regulates AKT activity to promote th... 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song‐Mei Liu China 24 2.0k 912 225 213 201 67 2.5k
Peiwei Chai China 24 1.8k 0.9× 1.0k 1.1× 104 0.5× 91 0.4× 455 2.3× 65 2.6k
Hao Su China 24 1.0k 0.5× 611 0.7× 58 0.3× 208 1.0× 423 2.1× 139 2.1k
Guohong Liu China 23 802 0.4× 363 0.4× 58 0.3× 120 0.6× 263 1.3× 74 1.5k
Andrei P. Drabovich Canada 27 1.6k 0.8× 187 0.2× 635 2.8× 90 0.4× 120 0.6× 48 2.5k
Bangshun He China 33 3.2k 1.6× 2.7k 2.9× 266 1.2× 49 0.2× 330 1.6× 113 4.1k
Xiaoyu Liao China 20 991 0.5× 567 0.6× 56 0.2× 136 0.6× 192 1.0× 63 1.6k
Jiadi Lv China 22 1.2k 0.6× 369 0.4× 325 1.4× 35 0.2× 491 2.4× 37 2.3k
Jianni Qi China 26 1.1k 0.5× 625 0.7× 55 0.2× 56 0.3× 243 1.2× 69 2.0k
Zhiyong Yu China 24 734 0.4× 374 0.4× 137 0.6× 65 0.3× 528 2.6× 103 1.8k
Monika Pietrowska Poland 29 1.8k 0.9× 883 1.0× 249 1.1× 21 0.1× 243 1.2× 96 2.3k

Countries citing papers authored by Song‐Mei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Song‐Mei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song‐Mei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Song‐Mei Liu. A scholar is included among the top collaborators of Song‐Mei 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 Song‐Mei Liu. Song‐Mei 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.
Wang, Yanzhen, et al.. (2025). HeuSMA: A Multigradient LC-MS Strategy for Improving Peak Identification in Untargeted Metabolomics. Analytical Chemistry. 97(14). 7719–7728.
2.
Shang, Jinhua, Yuan Wang, Ya Pang, et al.. (2025). Point‐of‐Care Diagnosis of Respiratory Viruses at Single‐Nucleotide Resolution with an Autocatalytic Rolling Circle Amplification System. Angewandte Chemie International Edition. 64(52). e18925–e18925.
3.
Bai, Zhihui, Zhirong Wu, Xiaomeng He, et al.. (2025). N6-Methylandenosine-related lncRNAs as potential biomarkers for predicting prognosis and the immunotherapy response in pancreatic cancer. Cellular and Molecular Life Sciences. 82(1). 48–48.
4.
Sun, Yuqing, Haixin Yu, Shaoqing Han, et al.. (2023). Method for the extraction of circulating nucleic acids based on MOF reveals cell-free RNA signatures in liver cancer. National Science Review. 11(1). nwae022–nwae022. 8 indexed citations
6.
Zhang, Zhou, et al.. (2023). Advances in biomarker discovery using circulating cell‐free DNA for early detection of hepatocellular carcinoma. PubMed. 15(3). e1598–e1598. 5 indexed citations
7.
Liu, Huanyu, Shanshan Qin, Zhou Zhang, et al.. (2023). Associations of MTHFR Polymorphisms and Cytosine Modifications with Early-Gestational Diabetes Mellitus in Chinese Pregnant Women. Reproductive Sciences. 30(10). 2973–2982. 3 indexed citations
8.
Liu, Huanyu, Juanjuan Guo, Chang Zeng, et al.. (2022). Transient Early Fine Motor Abnormalities in Infants Born to COVID-19 Mothers Are Associated With Placental Hypoxia and Ischemia. Frontiers in Pediatrics. 9. 793561–793561. 14 indexed citations
9.
Liu, Yaqian, Xiong Zhang, Min Liu, et al.. (2019). Direct detection of circRNA in real samples using reverse transcription-rolling circle amplification. Analytica Chimica Acta. 1101. 169–175. 49 indexed citations
10.
Yao, Qian, Yingqian Wang, Jie Wang, et al.. (2018). An Ultrasensitive Diagnostic Biochip Based on Biomimetic Periodic Nanostructure-Assisted Rolling Circle Amplification. ACS Nano. 12(7). 6777–6783. 85 indexed citations
11.
Liu, Jun, Mark A. Eckert, Bryan T. Harada, et al.. (2018). m6A mRNA methylation regulates AKT activity to promote the proliferation and tumorigenicity of endometrial cancer. Nature Cell Biology. 20(9). 1074–1083. 603 indexed citations breakdown →
13.
Huang, Jingtao, Song‐Mei Liu, Haiqing Ma, et al.. (2015). Systematic Review and Meta‐Analysis: Circulating miRNAs for Diagnosis of Hepatocellular Carcinoma. Journal of Cellular Physiology. 231(2). 328–335. 76 indexed citations
14.
Tian, Tian, Shuang Peng, Heng Xiao, et al.. (2013). Highly sensitive detection of telomerase based on a DNAzyme strategy. Chemical Communications. 49(26). 2652–2652. 29 indexed citations
15.
Tian, Tian, Shuang Peng, Heng Xiao, et al.. (2013). 5-Methyldeoxycytidine enhances the substrate activity of DNA polymerase. Chemical Communications. 49(86). 10085–10085. 8 indexed citations
17.
Tian, Tian, Heng Xiao, Xiaoe Zhang, et al.. (2012). Sensitive analysis of DNA methyltransferase based on a hairpin-shaped DNAzyme. Chemical Communications. 48(80). 10031–10031. 58 indexed citations
18.
Tian, Tian, Heng Xiao, Xiao‐Lian Zhang, et al.. (2012). Simultaneously sensitive detection of multiple miRNAs based on a strand displacement amplification. Chemical Communications. 49(1). 75–77. 43 indexed citations
19.
Tian, Tian, Heng Xiao, Zhengan Zhang, et al.. (2012). Sensitive and Convenient Detection of microRNAs Based on Cascade Amplification by Catalytic DNAzymes. Chemistry - A European Journal. 19(1). 92–95. 81 indexed citations
20.
Lu, Xingwu, Song‐Mei Liu, & Thomas B. Kornberg. (2006). The C-terminal tail of the Hedgehog receptor Patched regulates both localization and turnover. Genes & Development. 20(18). 2539–2551. 76 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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