Angela M. Liu

2.6k total citations
19 papers, 1.3k citations indexed

About

Angela M. Liu is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Angela M. Liu has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Cancer Research and 6 papers in Cell Biology. Recurrent topics in Angela M. Liu's work include MicroRNA in disease regulation (8 papers), Hippo pathway signaling and YAP/TAZ (6 papers) and Cancer-related molecular mechanisms research (6 papers). Angela M. Liu is often cited by papers focused on MicroRNA in disease regulation (8 papers), Hippo pathway signaling and YAP/TAZ (6 papers) and Cancer-related molecular mechanisms research (6 papers). Angela M. Liu collaborates with scholars based in Singapore, Hong Kong and China. Angela M. Liu's co-authors include John M. Luk, Ronnie T. P. Poon, Kwong‐Fai Wong, Zhi Xu, Nikki P. Lee, Jinfei Chen, Sheung Tat Fan, Felix H. Shek, Hongyue Dai and Chunsheng Zhang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Angela M. Liu

19 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angela M. Liu Singapore 18 985 750 315 125 105 19 1.3k
Xiangfan Liu China 15 1.4k 1.4× 1.0k 1.4× 372 1.2× 129 1.0× 134 1.3× 23 1.7k
Qishi Fan China 11 1000 1.0× 877 1.2× 159 0.5× 105 0.8× 78 0.7× 14 1.2k
Kriti Shrestha Nepal 5 867 0.9× 206 0.3× 873 2.8× 89 0.7× 184 1.8× 14 1.4k
Stefania Mejetta Spain 6 870 0.9× 765 1.0× 75 0.2× 77 0.6× 282 2.7× 7 1.3k
Fengyuan Tang Switzerland 11 628 0.6× 322 0.4× 292 0.9× 58 0.5× 227 2.2× 15 1.0k
Sandy Leung–Kuen Au Hong Kong 14 1.2k 1.2× 866 1.2× 37 0.1× 123 1.0× 101 1.0× 15 1.4k
Sui-Sui Dong China 10 650 0.7× 366 0.5× 51 0.2× 48 0.4× 250 2.4× 10 936
Taiji Yamazoe Japan 13 546 0.6× 231 0.3× 115 0.4× 115 0.9× 437 4.2× 26 1.0k
Shu Shimada Japan 22 1.0k 1.0× 604 0.8× 82 0.3× 135 1.1× 354 3.4× 43 1.4k

Countries citing papers authored by Angela M. Liu

Since Specialization
Citations

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

Fields of papers citing papers by Angela M. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela M. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Angela M. Liu. A scholar is included among the top collaborators of Angela M. 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 Angela M. Liu. Angela M. Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
2.
Cheng, Paul, Angela M. Liu, Alberto Bessudo, & Francis Mussai. (2021). Safety, PK/PD and preliminary anti-tumor activities of pegylated recombinant human arginase 1 (BCT-100) in patients with advanced arginine auxotrophic tumors. Investigational New Drugs. 39(6). 1633–1640. 17 indexed citations
3.
Chan, Stephen L., Paul N. Cheng, Angela M. Liu, et al.. (2021). A phase II clinical study on the efficacy and predictive biomarker of pegylated recombinant arginase on hepatocellular carcinoma. Investigational New Drugs. 39(5). 1375–1382. 31 indexed citations
4.
5.
Tsang, Felice Ho‐Ching, Wenjing Lü, Felix H. Shek, et al.. (2014). Prognostic Marker MicroRNA-125b Inhibits Tumorigenic Properties of Hepatocellular Carcinoma Cells Via Suppressing Tumorigenic Molecule eIF5A2. Digestive Diseases and Sciences. 59(10). 2477–2487. 41 indexed citations
6.
Liu, Angela M., Zhi Xu, Felix H. Shek, et al.. (2014). miR-122 Targets Pyruvate Kinase M2 and Affects Metabolism of Hepatocellular Carcinoma. PLoS ONE. 9(1). e86872–e86872. 115 indexed citations
7.
Liu, Angela M., Wei Wang, & John M. Luk. (2014). miRNAs: new tools for molecular classification, diagnosis and prognosis of hepatocellular carcinoma. Europe PMC (PubMed Central). 1(3). 323–329. 4 indexed citations
8.
Liu, Angela M., Tzy‐Jyun Yao, Wei Wang, et al.. (2012). Circulating miR-15b and miR-130b in serum as potential markers for detecting hepatocellular carcinoma: a retrospective cohort study. BMJ Open. 2(2). e000825–e000825. 192 indexed citations
9.
Huo, Xinying, Qi Zhang, Angela M. Liu, et al.. (2012). Overexpression of Yes-associated protein confers doxorubicin resistance in hepatocellullar carcinoma. Oncology Reports. 29(2). 840–846. 77 indexed citations
10.
Liu, Angela M., Zhi Xu, & John M. Luk. (2012). An update on targeting Hippo-YAP signaling in liver cancer. Expert Opinion on Therapeutic Targets. 16(3). 243–247. 24 indexed citations
11.
Liu, Angela M., et al.. (2012). Regulators of mammalian Hippo pathway in cancer. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1826(2). 357–364. 51 indexed citations
12.
Ivanovska, Irena L., Chunsheng Zhang, Angela M. Liu, et al.. (2011). Gene Signatures Derived from a c-MET-Driven Liver Cancer Mouse Model Predict Survival of Patients with Hepatocellular Carcinoma. PLoS ONE. 6(9). e24582–e24582. 26 indexed citations
13.
Luk, John M., Julja Burchard, Chunsheng Zhang, et al.. (2011). DLK1-DIO3 Genomic Imprinted MicroRNA Cluster at 14q32.2 Defines a Stemlike Subtype of Hepatocellular Carcinoma Associated with Poor Survival. Journal of Biological Chemistry. 286(35). 30706–30713. 126 indexed citations
14.
Boutz, Daniel R., Patrick Collins, Uthra Suresh, et al.. (2011). Two-tiered Approach Identifies a Network of Cancer and Liver Disease-related Genes Regulated by miR-122. Journal of Biological Chemistry. 286(20). 18066–18078. 51 indexed citations
15.
Luk, John M. & Angela M. Liu. (2011). Proteomics of Hepatocellular Carcinoma in Chinese Patients. OMICS A Journal of Integrative Biology. 15(5). 261–266. 18 indexed citations
16.
Liu, Angela M., Chunsheng Zhang, Julja Burchard, et al.. (2011). Global Regulation on microRNA in Hepatitis B Virus-Associated Hepatocellular Carcinoma. OMICS A Journal of Integrative Biology. 15(3). 187–191. 35 indexed citations
17.
Burchard, Julja, Chunsheng Zhang, Angela M. Liu, et al.. (2010). microRNA‐122 as a regulator of mitochondrial metabolic gene network in hepatocellular carcinoma. Molecular Systems Biology. 6(1). 402–402. 165 indexed citations
18.
Liu, Angela M., Ronnie T. P. Poon, & John M. Luk. (2010). MicroRNA-375 targets Hippo-signaling effector YAP in liver cancer and inhibits tumor properties. Biochemical and Biophysical Research Communications. 394(3). 623–627. 202 indexed citations
19.
Liu, Angela M., Zhi Xu, Jinfei Chen, Ronnie T.P. Poon, & John M. Luk. (2010). Targeting YAP and Hippo signaling pathway in liver cancer. Expert Opinion on Therapeutic Targets. 14(8). 855–868. 79 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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