Lake‐Ee Quek

4.0k total citations
53 papers, 2.3k citations indexed

About

Lake‐Ee Quek is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Lake‐Ee Quek has authored 53 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 14 papers in Cancer Research and 10 papers in Physiology. Recurrent topics in Lake‐Ee Quek's work include Microbial Metabolic Engineering and Bioproduction (25 papers), Gene Regulatory Network Analysis (10 papers) and Cancer, Hypoxia, and Metabolism (9 papers). Lake‐Ee Quek is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (25 papers), Gene Regulatory Network Analysis (10 papers) and Cancer, Hypoxia, and Metabolism (9 papers). Lake‐Ee Quek collaborates with scholars based in Australia, United Kingdom and United States. Lake‐Ee Quek's co-authors include Lars K. Nielsen, Cristiana Gomes de Oliveira Dal’Molin, Robin Palfreyman, Jens O. Krömer, Stefanie Dietmair, Stevens M. Brumbley, Peter P. Gray, Mark P. Hodson, Nigel Turner and Christoph Wittmann and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and PLoS ONE.

In The Last Decade

Lake‐Ee Quek

53 papers receiving 2.3k citations

Peers

Lake‐Ee Quek
Ho Hee Jang South Korea
Qi Shen China
Amir Feizi Sweden
Carola A. Neumann United States
Thomas M. Wasylenko United States
Ho Hee Jang South Korea
Lake‐Ee Quek
Citations per year, relative to Lake‐Ee Quek Lake‐Ee Quek (= 1×) peers Ho Hee Jang

Countries citing papers authored by Lake‐Ee Quek

Since Specialization
Citations

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

Fields of papers citing papers by Lake‐Ee Quek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lake‐Ee Quek. 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 Lake‐Ee Quek. The network helps show where Lake‐Ee Quek may publish in the future.

Co-authorship network of co-authors of Lake‐Ee Quek

This figure shows the co-authorship network connecting the top 25 collaborators of Lake‐Ee Quek. A scholar is included among the top collaborators of Lake‐Ee Quek 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 Lake‐Ee Quek. Lake‐Ee Quek 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.
Cao, Yue, et al.. (2025). Pathway metabolite ratios reveal distinctive glutamine metabolism in a subset of proliferating cells. Molecular Systems Biology. 21(8). 983–1003. 1 indexed citations
2.
Wang, Qian, Lake‐Ee Quek, Angel Pang, et al.. (2024). Macropinocytosis mediates resistance to loss of glutamine transport in triple-negative breast cancer. The EMBO Journal. 43(23). 5857–5882. 5 indexed citations
3.
Shrestha, Raj K., Zeyad D. Nassar, Adrienne R. Hanson, et al.. (2024). ACSM1 and ACSM3 Regulate Fatty Acid Metabolism to Support Prostate Cancer Growth and Constrain Ferroptosis. Cancer Research. 84(14). 2313–2332. 18 indexed citations
4.
Kim, Lynn‐Jee, Greg C. Smith, Catherine Li, et al.. (2023). Host–microbiome interactions in nicotinamide mononucleotide (NMN) deamidation. FEBS Letters. 597(17). 2196–2220. 15 indexed citations
5.
Galougahi, Keyvan Karimi, Yunjia Zhang, Vivian Kienzle, et al.. (2023). β3 adrenergic agonism: A novel pathway which improves right ventricular‐pulmonary arterial hemodynamics in pulmonary arterial hypertension. Physiological Reports. 11(1). e15549–e15549. 3 indexed citations
6.
Martínez, Verónica S., et al.. (2022). The topology of genome-scale metabolic reconstructions unravels independent modules and high network flexibility. PLoS Computational Biology. 18(6). e1010203–e1010203. 6 indexed citations
7.
Stocks, Ben, Stephen P. Ashcroft, Sophie Joanisse, et al.. (2021). Nicotinamide riboside supplementation does not alter whole‐body or skeletal muscle metabolic responses to a single bout of endurance exercise. The Journal of Physiology. 599(5). 1513–1531. 36 indexed citations
8.
Laybutt, D. Ross, Lynn‐Jee Kim, Lake‐Ee Quek, et al.. (2021). Exercise-induced benefits on glucose handling in a model of diet-induced obesity are reduced by concurrent nicotinamide mononucleotide. American Journal of Physiology-Endocrinology and Metabolism. 321(1). E176–E189. 14 indexed citations
9.
Quek, Lake‐Ee & Nigel Turner. (2019). Using the Human Genome-Scale Metabolic Model Recon 2 for Steady-State Flux Analysis of Cancer Cell Metabolism. Methods in molecular biology. 1928. 479–489. 2 indexed citations
10.
Geldermalsen, Michelle van, Lake‐Ee Quek, Nigel Turner, et al.. (2018). Benzylserine inhibits breast cancer cell growth by disrupting intracellular amino acid homeostasis and triggering amino acid response pathways. BMC Cancer. 18(1). 689–689. 56 indexed citations
11.
Dal’Molin, Cristiana Gomes de Oliveira, Lake‐Ee Quek, Pedro A. Saa, Robin Palfreyman, & Lars K. Nielsen. (2018). From reconstruction to C4 metabolic engineering: A case study for overproduction of polyhydroxybutyrate in bioenergy grasses. Plant Science. 273. 50–60. 7 indexed citations
13.
Couttas, Timothy A., Nupur Kain, Alexandra K. Suchowerska, et al.. (2016). Loss of ceramide synthase 2 activity, necessary for myelin biosynthesis, precedes tau pathology in the cortical pathogenesis of Alzheimer's disease. Neurobiology of Aging. 43. 89–100. 69 indexed citations
14.
Quek, Lake‐Ee & Lars K. Nielsen. (2014). Steady-State 13C Fluxomics Using OpenFLUX. Methods in molecular biology. 1191. 209–224. 8 indexed citations
15.
Quek, Lake‐Ee & Lars K. Nielsen. (2014). Customization of 13C-MFA Strategy According to Cell Culture System. Methods in molecular biology. 1191. 81–90. 2 indexed citations
16.
Dietmair, Stefanie, Mark P. Hodson, Lake‐Ee Quek, et al.. (2012). Metabolite profiling of CHO cells with different growth characteristics. Biotechnology and Bioengineering. 109(6). 1404–1414. 94 indexed citations
17.
Licona‐Cassani, Cuauhtémoc, Esteban Marcellin, Lake‐Ee Quek, Shana Jacob, & Lars K. Nielsen. (2012). Reconstruction of the Saccharopolyspora erythraea genome-scale model and its use for enhancing erythromycin production. Antonie van Leeuwenhoek. 102(3). 493–502. 30 indexed citations
18.
Dal’Molin, Cristiana Gomes de Oliveira, Lake‐Ee Quek, Robin Palfreyman, Stevens M. Brumbley, & Lars K. Nielsen. (2010). C4GEM, a Genome-Scale Metabolic Model to Study C4 Plant Metabolism    . PLANT PHYSIOLOGY. 154(4). 1871–1885. 167 indexed citations
19.
Dal’Molin, Cristiana Gomes de Oliveira, Lake‐Ee Quek, Robin Palfreyman, Stevens M. Brumbley, & Lars K. Nielsen. (2009). AraGEM, a Genome-Scale Reconstruction of the Primary Metabolic Network in Arabidopsis  . PLANT PHYSIOLOGY. 152(2). 579–589. 258 indexed citations
20.
Quek, Lake‐Ee, Christoph Wittmann, Lars K. Nielsen, & Jens O. Krömer. (2009). OpenFLUX: efficient modelling software for 13C-based metabolic flux analysis. Microbial Cell Factories. 8(1). 25–25. 188 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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