Paulina Lau

2.4k total citations
33 papers, 962 citations indexed

About

Paulina Lau is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Paulina Lau has authored 33 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Surgery and 9 papers in Cancer Research. Recurrent topics in Paulina Lau's work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (6 papers) and MicroRNA in disease regulation (5 papers). Paulina Lau is often cited by papers focused on RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (6 papers) and MicroRNA in disease regulation (5 papers). Paulina Lau collaborates with scholars based in Canada, United States and Sweden. Paulina Lau's co-authors include Ruth McPherson, Thet Naing, Alexandre F.R. Stewart, George A. Wells, Sébastien Soubeyrand, Robert Roberts, Christine Buerki, Bradley W. McLean, Joel S. Parker and Olga Jarinova and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Diabetes.

In The Last Decade

Paulina Lau

32 papers receiving 935 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paulina Lau Canada 18 455 333 230 229 160 33 962
Giuseppina Emanuela Grieco Italy 18 432 0.9× 220 0.7× 382 1.7× 194 0.8× 132 0.8× 31 951
Tetsuo Fujimaki Japan 16 333 0.7× 126 0.4× 94 0.4× 257 1.1× 127 0.8× 65 864
Damir Hamamdzic United States 17 256 0.6× 385 1.2× 146 0.6× 82 0.4× 80 0.5× 21 894
Reinhard Pregla Germany 18 471 1.0× 140 0.4× 206 0.9× 408 1.8× 112 0.7× 30 1.2k
Robert Roberts United States 17 459 1.0× 250 0.8× 86 0.4× 282 1.2× 75 0.5× 31 1.2k
Giovanni Pecorini Italy 15 396 0.9× 135 0.4× 101 0.4× 72 0.3× 93 0.6× 22 885
Hideki Horibe Japan 15 293 0.6× 99 0.3× 83 0.4× 201 0.9× 115 0.7× 65 716
Gwennan André‐Grégoire France 17 432 0.9× 109 0.3× 219 1.0× 77 0.3× 178 1.1× 35 795
Akitaka Hisatomi Japan 19 414 0.9× 525 1.6× 85 0.4× 210 0.9× 455 2.8× 47 1.2k
Yuanhong Ma Canada 15 176 0.4× 315 0.9× 122 0.5× 254 1.1× 327 2.0× 25 775

Countries citing papers authored by Paulina Lau

Since Specialization
Citations

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

Fields of papers citing papers by Paulina Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paulina Lau

This figure shows the co-authorship network connecting the top 25 collaborators of Paulina Lau. A scholar is included among the top collaborators of Paulina Lau 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 Paulina Lau. Paulina Lau 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.
2.
Soubeyrand, Sébastien, Paulina Lau, & Ruth McPherson. (2025). Deciphering the role of the lncRNA TRIBAL in hepatocyte models. PLoS ONE. 20(9). e0322975–e0322975.
3.
Soubeyrand, Sébastien, Paulina Lau, Majid Nikpay, et al.. (2024). Long Noncoding RNA TRIBAL Links the 8q24.13 Locus to Hepatic Lipid Metabolism and Coronary Artery Disease. Circulation Genomic and Precision Medicine. 17(6). e004674–e004674. 1 indexed citations
4.
Soubeyrand, Sébastien, Paulina Lau, & Ruth McPherson. (2023). Regulation of TRIB1 abundance in hepatocyte models in response to proteasome inhibition. Scientific Reports. 13(1). 9320–9320. 4 indexed citations
5.
Turner, Adam W., Paulina Lau, Per Eriksson, et al.. (2022). A novel anti-inflammatory role links the CARS2 locus to protection from coronary artery disease. Atherosclerosis. 348. 8–15. 10 indexed citations
6.
Nikpay, Majid, et al.. (2021). A Common Polymorphism in the FADS1 Locus Links miR1908 to Low-Density Lipoprotein Cholesterol Through BMP1. Arteriosclerosis Thrombosis and Vascular Biology. 41(8). 2252–2262. 7 indexed citations
7.
Soubeyrand, Sébastien, et al.. (2021). miR1908-5p regulates energy homeostasis in hepatocyte models. Scientific Reports. 11(1). 23748–23748. 3 indexed citations
8.
Soubeyrand, Sébastien, Majid Nikpay, Paulina Lau, et al.. (2020). CARMAL Is a Long Non-coding RNA Locus That Regulates MFGE8 Expression. Frontiers in Genetics. 11. 631–631. 3 indexed citations
9.
Lau, Paulina, Sébastien Soubeyrand, Robert A. Hegele, Thomas A. Lagace, & Ruth McPherson. (2020). Molecular mechanism linking a novel PCSK9 copy number variant to severe hypercholesterolemia. Atherosclerosis. 304. 39–43. 3 indexed citations
10.
Soubeyrand, Sébastien, et al.. (2019). Regulation of MFGE8 by the intergenic coronary artery disease locus on 15q26.1. Atherosclerosis. 284. 11–17. 21 indexed citations
11.
Soubeyrand, Sébastien, et al.. (2019). Off-target effects of CRISPRa on interleukin-6 expression. PLoS ONE. 14(10). e0224113–e0224113. 10 indexed citations
12.
Thrush, A. Brianne, Gamil R. Antoun, Majid Nikpay, et al.. (2017). Diet-resistant obesity is characterized by a distinct plasma proteomic signature and impaired muscle fiber metabolism. International Journal of Obesity. 42(3). 353–362. 15 indexed citations
13.
Soubeyrand, Sébastien, et al.. (2015). Role of Tribbles Pseudokinase 1 (TRIB1) in human hepatocyte metabolism. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1862(2). 223–232. 18 indexed citations
14.
Nikpay, Majid, et al.. (2015). Functional interaction between COL4A1/COL4A2 and SMAD3 risk loci for coronary artery disease. Atherosclerosis. 242(2). 543–552. 34 indexed citations
15.
Cole, Christopher B., Majid Nikpay, Paulina Lau, et al.. (2014). Adiposity significantly modifies genetic risk for dyslipidemia. Journal of Lipid Research. 55(11). 2416–2422. 33 indexed citations
16.
Cole, Christopher B., Majid Nikpay, Paulina Lau, et al.. (2014). ADIPOSITY SIGNIFICANTLY MODIFIES GENETIC RISK FOR DYSLIPIDEMIA. Journal of Epidemiology & Community Health. 69(1). A3.1–A3. 5 indexed citations
17.
Radeau, T., et al.. (1998). Relationship of adipose tissue cholesteryl ester transfer protein (CETP) mRNA to plasma concentrations of CETP in man. Atherosclerosis. 139(2). 369–376. 43 indexed citations
18.
McPherson, Ruth, Paulina Lau, Paul Kussie, P. Hugh R. Barrett, & Alan R. Tall. (1997). Plasma Kinetics of Cholesteryl Ester Transfer Protein in the Rabbit. Arteriosclerosis Thrombosis and Vascular Biology. 17(1). 203–210. 23 indexed citations
19.
Radeau, T., et al.. (1995). Cholesteryl ester transfer protein (CETP) mRNA abundance in human adipose tissue: relationship to cell size and membrane cholesterol content.. Journal of Lipid Research. 36(12). 2552–2561. 59 indexed citations
20.
Cheng, Siyuan, et al.. (1985). Measurements of true quench temperature of subcooled water under forced convective conditions. International Journal of Heat and Mass Transfer. 28(1). 235–243. 24 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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