Aik T. Ooi

2.2k total citations
24 papers, 801 citations indexed

About

Aik T. Ooi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Aik T. Ooi has authored 24 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Cancer Research. Recurrent topics in Aik T. Ooi's work include Single-cell and spatial transcriptomics (10 papers), Neonatal Respiratory Health Research (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Aik T. Ooi is often cited by papers focused on Single-cell and spatial transcriptomics (10 papers), Neonatal Respiratory Health Research (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Aik T. Ooi collaborates with scholars based in United States and France. Aik T. Ooi's co-authors include Brigitte N. Gomperts, Cliff I. Stains, David J. Segal, Indraneel Ghosh, Derek W. Nickerson, Jennifer L. Gilbert, Vi Luan Ha, Ahmed E. Hegab, Bharti Bisht and Daphne O. Darmawan and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Blood.

In The Last Decade

Aik T. Ooi

24 papers receiving 790 citations

Peers

Aik T. Ooi

PRM

SURGE

ONCOL

Joseph D. Mocanu Canada

Junko Kano Japan

Bin Kang China

Jinlu Ma China

Ferdinando Cerciello Switzerland

Yunsong Zhang China

Amrita Datta United States

Shuai Chen China

Aarif Ahsan United States

Rinu Sharma India

Joseph D. Mocanu Canada

Aik T. Ooi

365 ×0.7

127 ×0.5

PRM

160 ×1.2

50 ×0.4

SURGE

162 ×1.7

ONCOL

Citations per year, relative to Aik T. Ooi Aik T. Ooi (= 1×) peers Joseph D. Mocanu

Countries citing papers authored by Aik T. Ooi

Since Specialization

Citations

This map shows the geographic impact of Aik T. Ooi'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 Aik T. Ooi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aik T. Ooi more than expected).

Fields of papers citing papers by Aik T. Ooi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aik T. Ooi. 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 Aik T. Ooi. The network helps show where Aik T. Ooi may publish in the future.

Co-authorship network of co-authors of Aik T. Ooi

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

All Works

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20 of 20 papers shown

Lai, Timothy Y. Y., et al.. (2022). Abstract 833: Linking phenotype and genotype: Multimodal analysis of surface proteins, intracellular proteins, and SNV in single cells. Cancer Research. 82(12_Supplement). 833–833. 1 indexed citations

Dhingra, Dalia, et al.. (2021). Simultaneous DNA, RNA, and Protein Analysis from Single Cells Using a High-Throughput Microfluidic Workflow for Resolution of Genotype-to-Phenotype Modalities. Methods in molecular biology. 2386. 289–307. 2 indexed citations

Dhingra, Dalia, et al.. (2021). High-Throughput Multimodal Single-Cell Targeted DNA and Surface Protein Analysis Using the Mission Bio Tapestri Platform. Methods in molecular biology. 2386. 171–188. 13 indexed citations

Ooi, Aik T., Dalia Dhingra, Adam Sciambi, et al.. (2021). Abstract 2259: Single-cell multi-omics analysis of SNV, CNV, and protein expression. Cancer Research. 81(13_Supplement). 2259–2259. 1 indexed citations

Ooi, Aik T.. (2021). Single-Cell Protein Analysis. Methods in molecular biology. 2 indexed citations

Sanada, Chad & Aik T. Ooi. (2019). Single-Cell Dosing and mRNA Sequencing of Suspension and Adherent Cells Using the PolarisTM System. Methods in molecular biology. 1979. 185–195. 5 indexed citations

Ooi, Aik T., et al.. (2019). Simultaneous Targeted Detection of Proteins and RNAs in Single Cells. Methods in molecular biology. 1979. 379–392. 2 indexed citations

Walser, Tonya C., Zhe Jing, Linh M. Tran, et al.. (2018). Silencing the Snail-Dependent RNA Splice Regulator ESRP1 Drives Malignant Transformation of Human Pulmonary Epithelial Cells. Cancer Research. 78(8). 1986–1999. 11 indexed citations

Gong, Haibiao, Xiaohui Wang, Benjamin P. Liu, et al.. (2017). Single-cell protein-mRNA correlation analysis enabled by multiplexed dual-analyte co-detection. Scientific Reports. 7(1). 2776–2776. 22 indexed citations

10.

Ooi, Aik T. & Brigitte N. Gomperts. (2015). Molecular Pathways: Targeting Cellular Energy Metabolism in Cancer via Inhibition of SLC2A1 and LDHA. Clinical Cancer Research. 21(11). 2440–2444. 96 indexed citations

11.

Ooi, Aik T., Adam C. Gower, Kelvin X. Zhang, et al.. (2014). Molecular Profiling of Premalignant Lesions in Lung Squamous Cell Carcinomas Identifies Mechanisms Involved in Stepwise Carcinogenesis. Cancer Prevention Research. 7(5). 487–495. 59 indexed citations

12.

Hegab, Ahmed E., Vi Luan Ha, Bharti Bisht, et al.. (2013). Aldehyde Dehydrogenase Activity Enriches for Proximal Airway Basal Stem Cells and Promotes Their Proliferation. Stem Cells and Development. 23(6). 664–675. 20 indexed citations

13.

Hegab, Ahmed E., Vi Luan Ha, Daphne O. Darmawan, et al.. (2012). Isolation and In Vitro Characterization of Basal and Submucosal Gland Duct Stem/Progenitor Cells from Human Proximal Airways. Stem Cells Translational Medicine. 1(10). 719–724. 61 indexed citations

14.

Hegab, Ahmed E., Vi Luan Ha, Jennifer L. Gilbert, et al.. (2011). A Novel Stem/Progenitor Cell Population From Murine Tracheal Submucosal Gland Ducts With Multipotent Regenerative Potential. A6391–A6391. 4 indexed citations

15.

Hegab, Ahmed E., Vi Luan Ha, Jennifer L. Gilbert, et al.. (2011). Novel Stem/Progenitor Cell Population from Murine Tracheal Submucosal Gland Ducts with Multipotent Regenerative Potential. Stem Cells. 29(8). 1283–1293. 95 indexed citations

16.

Ooi, Aik T., Vei Mah, Derek W. Nickerson, et al.. (2010). Presence of a Putative Tumor-Initiating Progenitor Cell Population Predicts Poor Prognosis in Smokers with Non–Small Cell Lung Cancer. Cancer Research. 70(16). 6639–6648. 47 indexed citations

17.

Ghosh, Indraneel, Cliff I. Stains, Aik T. Ooi, & David J. Segal. (2006). Direct detection of double-stranded DNA: molecular methods and applications for DNA diagnostics. Molecular BioSystems. 2(11). 551–560. 87 indexed citations

18.

Ooi, Aik T., Cliff I. Stains, Indraneel Ghosh, & David J. Segal. (2006). Sequence-Enabled Reassembly of β-Lactamase (SEER-LAC): A Sensitive Method for the Detection of Double-Stranded DNA. Biochemistry. 45(11). 3620–3625. 46 indexed citations

19.

Stains, Cliff I., Jason R. Porter, Aik T. Ooi, David J. Segal, & Indraneel Ghosh. (2005). DNA Sequence-Enabled Reassembly of the Green Fluorescent Protein. Journal of the American Chemical Society. 127(31). 10782–10783. 70 indexed citations

20.

Dai, Jixun, et al.. (2004). Novel DNA Bis-intercalation by MLN944, a Potent Clinical Bisphenazine Anticancer Drug. Journal of Biological Chemistry. 279(44). 46096–46103. 65 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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