Joo-Leng Low

427 total citations
8 papers, 216 citations indexed

About

Joo-Leng Low is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Joo-Leng Low has authored 8 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Surgery. Recurrent topics in Joo-Leng Low's work include RNA modifications and cancer (2 papers), Pluripotent Stem Cells Research (2 papers) and CRISPR and Genetic Engineering (2 papers). Joo-Leng Low is often cited by papers focused on RNA modifications and cancer (2 papers), Pluripotent Stem Cells Research (2 papers) and CRISPR and Genetic Engineering (2 papers). Joo-Leng Low collaborates with scholars based in Singapore, Australia and India. Joo-Leng Low's co-authors include Ramanuj DasGupta, Christina L. L. Chai, Shao Q. Yao, P. V. Shivaprasad, Jung Eun Park, Vairavan Lakshmanan, Daniel Yim, S. Raghavan, Srikar Krishna and Michelle Gek Liang Lim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Antioxidants and Redox Signaling.

In The Last Decade

Joo-Leng Low

8 papers receiving 215 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joo-Leng Low Singapore	7	184	76	26	20	18	8	216
Maria C. Passarelli United States	8	304 1.7×	99 1.3×	20 0.8×	22 1.1×	10 0.6×	8	343
Marie Sabatier United States	5	107 0.6×	71 0.9×	22 0.8×	19 0.9×	9 0.5×	7	177
Guang Peng China	5	168 0.9×	62 0.8×	17 0.7×	31 1.6×	9 0.5×	5	196
Anne Dirkse Luxembourg	3	108 0.6×	99 1.3×	14 0.5×	21 1.1×	11 0.6×	3	184
Kosuke Matsumura Japan	9	239 1.3×	148 1.9×	17 0.7×	37 1.9×	12 0.7×	11	308
Sonja-Maria Decking Germany	6	175 1.0×	144 1.9×	44 1.7×	40 2.0×	10 0.6×	8	242
Alina Chakraborty France	6	193 1.0×	56 0.7×	21 0.8×	27 1.4×	5 0.3×	7	222
Aimee T. Farria United States	8	264 1.4×	45 0.6×	13 0.5×	57 2.9×	10 0.6×	8	311
Danna Sheinboim Israel	5	175 1.0×	97 1.3×	12 0.5×	18 0.9×	7 0.4×	5	210
Kathrin Weidele Germany	6	117 0.6×	73 1.0×	22 0.8×	75 3.8×	7 0.4×	8	198

Countries citing papers authored by Joo-Leng Low

Since Specialization

Citations

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

Fields of papers citing papers by Joo-Leng Low

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joo-Leng Low. 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 Joo-Leng Low. The network helps show where Joo-Leng Low may publish in the future.

Co-authorship network of co-authors of Joo-Leng Low

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

All Works

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8 of 8 papers shown

Shanmugam, Raghuvaran, Mert B. Ozturk, Joo-Leng Low, et al.. (2022). Genome-wide screens identify specific drivers of mutant hTERT promoters. Proceedings of the National Academy of Sciences. 119(3). 11 indexed citations

Akıncılar, Semih Can, Zahra Eslami‐S, Joo-Leng Low, et al.. (2022). Identification of mechanism of cancer-cell-specific reactivation of hTERT offers therapeutic opportunities for blocking telomerase specifically in human colorectal cancer. Nucleic Acids Research. 51(1). 1–16. 18 indexed citations

Low, Joo-Leng, Gokce Oguz, Xiaoqian Zhang, et al.. (2021). Molecular docking-aided identification of small molecule inhibitors targeting β-catenin-TCF4 interaction. iScience. 24(6). 102544–102544. 9 indexed citations

Low, Joo-Leng, Dawn Pingxi Lau, Xiaoqian Zhang, et al.. (2021). A chemical genetic screen identifies Aurora kinases as a therapeutic target in EGFR T790M negative, gefitinib-resistant head and neck squamous cell carcinoma (HNSCC). EBioMedicine. 64. 103220–103220. 13 indexed citations

Krishna, Srikar, Daniel Yim, Vairavan Lakshmanan, et al.. (2019). Dynamic expression of tRNA‐derived small RNAs define cellular states. EMBO Reports. 20(7). e47789–e47789. 116 indexed citations

Low, Joo-Leng, Jayasree Seayad, Zhenfeng Liu, et al.. (2014). Cardiomyocyte differentiation of pluripotent stem cells with SB203580 analogues correlates with Wnt pathway CK1 inhibition independent of p38 MAPK signaling. Journal of Molecular and Cellular Cardiology. 80. 56–70. 17 indexed citations

Low, Joo-Leng, Jayasree Seayad, Sherwin Ting, et al.. (2013). Tri-substituted imidazole analogues of SB203580 as inducers for cardiomyogenesis of human embryonic stem cells. Bioorganic & Medicinal Chemistry Letters. 23(11). 3300–3303. 6 indexed citations

Low, Joo-Leng, Christina L. L. Chai, & Shao Q. Yao. (2013). Bidentate Inhibitors of Protein Tyrosine Phosphatases. Antioxidants and Redox Signaling. 20(14). 2225–2250. 26 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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