Chueh Loo Poh

3.5k total citations
84 papers, 2.3k citations indexed

About

Chueh Loo Poh is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Chueh Loo Poh has authored 84 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 17 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Biomedical Engineering. Recurrent topics in Chueh Loo Poh's work include Gene Regulatory Network Analysis (12 papers), Microbial Metabolic Engineering and Bioproduction (12 papers) and Bacterial Genetics and Biotechnology (10 papers). Chueh Loo Poh is often cited by papers focused on Gene Regulatory Network Analysis (12 papers), Microbial Metabolic Engineering and Bioproduction (12 papers) and Bacterial Genetics and Biotechnology (10 papers). Chueh Loo Poh collaborates with scholars based in Singapore, United Kingdom and China. Chueh Loo Poh's co-authors include Cher Heng Tan, Éric Van Reeth, Matthew Wook Chang, Ivan Weng Keong Tham, Premkumar Jayaraman, Jingyun Zhang, Adison Wong, Erry Gunawan, Yong Liang Guan and Nazanin Saeidi and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Chueh Loo Poh

80 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chueh Loo Poh Singapore 27 967 457 330 225 201 84 2.3k
Hui Zhu China 26 825 0.9× 634 1.4× 354 1.1× 225 1.0× 61 0.3× 84 2.8k
Akira Asano Japan 29 941 1.0× 306 0.7× 120 0.4× 100 0.4× 297 1.5× 150 2.4k
Michael J. Walsh United States 26 837 0.9× 619 1.4× 294 0.9× 103 0.5× 87 0.4× 63 3.2k
Oi Wah Liew Singapore 23 575 0.6× 349 0.8× 82 0.2× 281 1.2× 65 0.3× 125 2.2k
John J. Hill United States 27 1.3k 1.4× 199 0.4× 125 0.4× 115 0.5× 121 0.6× 71 2.4k
Hongyi Li China 21 1.6k 1.7× 231 0.5× 169 0.5× 57 0.3× 71 0.4× 77 2.8k
Liping Song China 29 1.1k 1.2× 279 0.6× 335 1.0× 29 0.1× 305 1.5× 131 3.9k
Takashi Ishikawa Japan 32 1.0k 1.0× 332 0.7× 147 0.4× 648 2.9× 40 0.2× 250 3.8k
Masahiro Wada Japan 31 841 0.9× 273 0.6× 72 0.2× 157 0.7× 128 0.6× 212 3.2k

Countries citing papers authored by Chueh Loo Poh

Since Specialization
Citations

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

Fields of papers citing papers by Chueh Loo Poh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chueh Loo Poh

This figure shows the co-authorship network connecting the top 25 collaborators of Chueh Loo Poh. A scholar is included among the top collaborators of Chueh Loo 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 Chueh Loo Poh. Chueh Loo Poh 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.
Hossain, Gazi Sakir, Sandrine Alfenore, Stéphane Guillouet, et al.. (2025). Identification and monitoring of cell heterogeneity from plasmid recombination during limonene production. Applied Microbiology and Biotechnology. 109(1). 4–4. 2 indexed citations
2.
Zhang, Jingyun, et al.. (2024). Developing genetically encoded biosensors for flavonoid luteolin. Sensors and Actuators B Chemical. 426. 137117–137117.
3.
Wang, Yixin, Md. Noor‐A‐Rahim, Erry Gunawan, Yong Liang Guan, & Chueh Loo Poh. (2023). Modelling, Characterization of Data-Dependent and Process-Dependent Errors in DNA Data Storage. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(3). 2147–2158. 5 indexed citations
4.
Poh, Chueh Loo, et al.. (2022). Designing a Model-Driven Approach Towards Rational Experimental Design in Bioprocess Optimization. Methods in molecular biology. 2553. 173–187. 1 indexed citations
5.
Deng, Li, Yixin Wang, Md. Noor‐A‐Rahim, et al.. (2019). Optimized Code Design for Constrained DNA Data Storage With Asymmetric Errors. IEEE Access. 7. 84107–84121. 22 indexed citations
6.
Wang, Yixin, Md. Noor‐A‐Rahim, Erry Gunawan, Yong Liang Guan, & Chueh Loo Poh. (2019). Construction of Bio-Constrained Code for DNA Data Storage. IEEE Communications Letters. 23(6). 963–966. 49 indexed citations
7.
Wang, Yixin, Md. Noor‐A‐Rahim, Jingyun Zhang, et al.. (2019). Oligo Design with Single Primer Binding Site for High Capacity DNA-Based Data Storage. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(6). 2176–2182. 13 indexed citations
8.
Holowko, Maciej B. & Chueh Loo Poh. (2018). Designing and Assembling Plasmids for the Construction of Escherichia coli Biosensor for Vibrio cholerae Detection. Methods in molecular biology. 1772. 445–456. 1 indexed citations
9.
Zhang, Jingyun & Chueh Loo Poh. (2018). Regulating exopolysaccharide gene wcaF allows control of Escherichia coli biofilm formation. Scientific Reports. 8(1). 13127–13127. 24 indexed citations
10.
Jayaraman, Premkumar, et al.. (2017). Repurposing a Two-Component System-Based Biosensor for the Killing of Vibrio cholerae. ACS Synthetic Biology. 6(7). 1403–1415. 57 indexed citations
11.
Jayaraman, Premkumar, et al.. (2016). Blue light-mediated transcriptional activation and repression of gene expression in bacteria. Nucleic Acids Research. 44(14). 6994–7005. 105 indexed citations
12.
Poh, Chueh Loo, et al.. (2015). A novel neural-inspired learning algorithm with application to clinical risk prediction. Journal of Biomedical Informatics. 54. 305–314. 18 indexed citations
13.
Ling, Maurice HT & Chueh Loo Poh. (2014). A predictor for predicting Escherichia colitranscriptome and the effects of gene perturbations. BMC Bioinformatics. 15(1). 140–140. 1 indexed citations
14.
Saeidi, Nazanin, Adison Wong, Tat‐Ming Lo, et al.. (2011). Engineering microbes to sense and eradicate Pseudomonas aeruginosa , a human pathogen. Molecular Systems Biology. 7(1). 521–521. 270 indexed citations
15.
Sana, Barindra, Chueh Loo Poh, & Sierin Lim. (2011). A manganese–ferritin nanocomposite as an ultrasensitive T2contrast agent. Chemical Communications. 48(6). 862–864. 40 indexed citations
16.
Than, Aung, et al.. (2010). The crosstalks between adipokines and catecholamines. Molecular and Cellular Endocrinology. 332(1-2). 261–270. 22 indexed citations
17.
Xu, Xiaotian, et al.. (2010). Security Protection of DICOM Medical Images Using Dual-Layer Reversible Watermarking with Tamper Detection Capability. Journal of Digital Imaging. 24(3). 528–540. 83 indexed citations
18.
Sheah, Kenneth, et al.. (2010). Automating the tracking of lymph nodes in follow-up studies of thoracic CT images. Computer Methods and Programs in Biomedicine. 106(3). 150–159. 3 indexed citations
19.
Poh, Chueh Loo & R.I. Kitney. (2007). Cartilage Thickness Visualization using 2D WearMaps and TrackBack. Conference proceedings. 20. 2883–2886. 1 indexed citations
20.
Poh, Chueh Loo, et al.. (2007). An MRI derived articular cartilage visualization framework. Osteoarthritis and Cartilage. 15(9). 1070–1085. 15 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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