Jonathan Poh

400 total citations
14 papers, 141 citations indexed

About

Jonathan Poh is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jonathan Poh has authored 14 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 6 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jonathan Poh's work include Cancer Genomics and Diagnostics (9 papers), Lung Cancer Treatments and Mutations (5 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). Jonathan Poh is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Lung Cancer Treatments and Mutations (5 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). Jonathan Poh collaborates with scholars based in Singapore, United States and United Kingdom. Jonathan Poh's co-authors include Mark Lindsay, Mark Jessell, Florian Wellmann, Yukti Choudhury, Min‐Han Tan, Hui Shan Tan, Yi‐Chin Toh, Ravindran Kanesvaran, Yinghua Qu and Jiangwa Xing and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jonathan Poh

13 papers receiving 137 citations

Peers

Jonathan Poh
Kexin Lou China
Albert Indonesia
Jonathan Poh
Citations per year, relative to Jonathan Poh Jonathan Poh (= 1×) peers Taoli Wang

Countries citing papers authored by Jonathan Poh

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Poh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Poh

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

All Works

14 of 14 papers shown
1.
Samol, Jens, Jonathan Poh, Min-Han Tan, et al.. (2025). Prospective Multicenter Study Evaluating a Combined Circulating Tumor DNA and Circulating Tumor RNA Liquid Biopsy in Metastatic Non–Small Cell Lung Cancer (LIQUIK). JCO Precision Oncology. 9(9). e2500181–e2500181. 4 indexed citations
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Poh, Jonathan, et al.. (2024). Utility of an amplicon-based ctDNA platform for advanced cholangiocarcinomas (CCA) in Asia.. Journal of Clinical Oncology. 42(16_suppl). e16206–e16206. 1 indexed citations
4.
Heeke, Simon, Hai T. Tran, Vincent K. Lam, et al.. (2023). Longitudinal Tracking of ALK-positive Lung Cancer From Plasma Using Circulating-Tumor RNA and Circulating-Tumor DNA in the BRIGHTSTAR Clinical Trial. SHILAP Revista de lepidopterología. 1. 100065–100065. 2 indexed citations
5.
Poh, Jonathan, Kao Chin Ngeow, Jing Shan Lim, et al.. (2022). Analytical and clinical validation of an amplicon-based next generation sequencing assay for ultrasensitive detection of circulating tumor DNA. PLoS ONE. 17(4). e0267389–e0267389. 10 indexed citations
7.
Choudhury, Yukti, Min‐Han Tan, Jun Shi, et al.. (2022). Complementing Tissue Testing With Plasma Mutation Profiling Improves Therapeutic Decision-Making for Patients With Lung Cancer. Frontiers in Medicine. 9. 758464–758464. 14 indexed citations
8.
Choudhury, Yukti, et al.. (2022). Early detection of cancer using cell-free DNA (cfDNA) size analysis on a multiplexed amplicon-based next-generation sequencing (NGS) platform.. Journal of Clinical Oncology. 40(16_suppl). 3041–3041. 2 indexed citations
9.
Wu, Wei, Jing Shan Lim, Jonathan Poh, & Trever G. Bivona. (2021). Targeted ctDNA sequencing analysis reveals concurrent genomic alterations and its impact on TKI and immune checkpoint inhibitor therapy in advanced NSCLC from Asian population.. Journal of Clinical Oncology. 39(15_suppl). 3042–3042. 1 indexed citations
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Poh, Jonathan, Amy H. Ponsford, James Boyd, et al.. (2020). A functionally defined high-density NRF2 interactome reveals new conditional regulators of ARE transactivation. Redox Biology. 37. 101686–101686. 13 indexed citations
12.
Choudhury, Yukti, Yi‐Chin Toh, Jiangwa Xing, et al.. (2017). Patient-specific hepatocyte-like cells derived from induced pluripotent stem cells model pazopanib-mediated hepatotoxicity. Scientific Reports. 7(1). 41238–41238. 45 indexed citations
13.
Choudhury, Yukti, Yi‐Chin Toh, Yinghua Qu, et al.. (2016). Modeling patient variability in pazopanib-induced hepatotoxicity with iPSC-derived hepatocyte-like cells.. Journal of Clinical Oncology. 34(2_suppl). 578–578. 1 indexed citations
14.
Wellmann, Florian, Mark Lindsay, Jonathan Poh, & Mark Jessell. (2014). Validating 3-D Structural Models with Geological Knowledge for Improved Uncertainty Evaluations. Energy Procedia. 59. 374–381. 45 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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