Wei Leong Chew

2.9k total citations · 2 hit papers
23 papers, 2.1k citations indexed

About

Wei Leong Chew is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Wei Leong Chew has authored 23 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Genetics and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Wei Leong Chew's work include CRISPR and Genetic Engineering (16 papers), Virus-based gene therapy research (7 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Wei Leong Chew is often cited by papers focused on CRISPR and Genetic Engineering (16 papers), Virus-based gene therapy research (7 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Wei Leong Chew collaborates with scholars based in Singapore, United States and Australia. Wei Leong Chew's co-authors include George M. Church, Amy J. Wagers, Jason Cheng, Mohammadsharif Tabebordbar, Kexian Zhu, Prashant Mali, Feng Zhang, Jeffrey J. Widrick, Winston X. Yan and Alex H. M. Ng and has published in prestigious journals such as Science, Circulation and Nature Communications.

In The Last Decade

Wei Leong Chew

22 papers receiving 2.0k citations

Hit Papers

In vivo gene editing in dystrophic mouse muscle and muscl... 2015 2026 2018 2022 2015 2016 250 500 750

Peers

Wei Leong Chew
Alex A. Mireault United States
Ami M. Kabadi United States
Zairan Liu United States
Erwei Zuo China
Luhan Yang United States
Samira Kiani United States
Isaac B. Hilton United States
Siyuan Tan United States
Wei Leong Chew
Citations per year, relative to Wei Leong Chew Wei Leong Chew (= 1×) peers Ruth M. Castellanos Rivera

Countries citing papers authored by Wei Leong Chew

Since Specialization
Citations

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

Fields of papers citing papers by Wei Leong Chew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Leong Chew. 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 Wei Leong Chew. The network helps show where Wei Leong Chew may publish in the future.

Co-authorship network of co-authors of Wei Leong Chew

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Leong Chew. A scholar is included among the top collaborators of Wei Leong Chew 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 Wei Leong Chew. Wei Leong Chew 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.
Sun, Yue, Kimberle Shen, Ke Guo, et al.. (2025). Polyethylene-Glycol-Conjugated Peptide Coacervates with Tunable Size for Intracellular mRNA Delivery. ACS Nano. 19(27). 24724–24735. 2 indexed citations
2.
Cheng, Ruey‐Kuang, Kimberle Shen, Sandra Tan, et al.. (2025). Comparative transcriptomics of lateral hypothalamic cell types reveals conserved growth hormone-tachykinin dynamics in feeding. Molecular Metabolism. 102. 102251–102251.
3.
Chia, Bing Shao, Samantha Seah, Bolun Wang, et al.. (2025). Engineering a New Generation of Gene Editors: Integrating Synthetic Biology and AI Innovations. ACS Synthetic Biology. 14(3). 636–647. 6 indexed citations
4.
Pérez, Mauricio, Michiko Kimoto, Priscilla D. Rajakumar, et al.. (2025). Direct high-throughput deconvolution of non-canonical bases via nanopore sequencing and bootstrapped learning. Nature Communications. 16(1). 6980–6980. 1 indexed citations
5.
Tong, Michael Z., Nathan Palmer, Aditya Kumar, et al.. (2024). Robust genome and cell engineering via in vitro and in situ circularized RNAs. Nature Biomedical Engineering. 9(1). 109–126. 15 indexed citations
6.
Dai, Junbiao, et al.. (2024). The design and engineering of synthetic genomes. Nature Reviews Genetics. 26(5). 298–319. 9 indexed citations
7.
Mattar, Citra Nurfarah Zaini, Wei Leong Chew, & Poh San Lai. (2024). Embryo and fetal gene editing: Technical challenges and progress toward clinical applications. Molecular Therapy — Methods & Clinical Development. 32(2). 101229–101229. 6 indexed citations
8.
Keng, Choong Tat, Regina Ching Hua Lee, Bing Shao Chia, et al.. (2023). AAV-CRISPR-Cas13 eliminates human enterovirus and prevents death of infected mice. EBioMedicine. 93. 104682–104682. 15 indexed citations
9.
Ravikumar, Sharada, Wei Leong Chew, Qi Hui Sam, et al.. (2023). Extracorporeal Membrane Oxygenation–Dependent Fulminant Melioidosis From Caspase 4 Mutation Reversed by Interferon Gamma Therapy. Clinical Infectious Diseases. 78(1). 94–97. 5 indexed citations
10.
Sun, Yue, Xiaojie Xu, Liwei Chen, et al.. (2023). Redox-Responsive Phase-Separating Peptide as a Universal Delivery Vehicle for CRISPR/Cas9 Genome Editing Machinery. ACS Nano. 17(17). 16597–16606. 46 indexed citations
11.
Keng, Choong Tat, Ke Guo, Yu‐Chi Liu, et al.. (2022). Multiplex viral tropism assay in complex cell populations with single-cell resolution. Gene Therapy. 29(9). 555–565. 2 indexed citations
12.
Lee, Cheryl, Sonia Chothani, Shan Zhang, et al.. (2021). Coding and non-coding roles of MOCCI (C15ORF48) coordinate to regulate host inflammation and immunity. Nature Communications. 12(1). 2130–2130. 64 indexed citations
13.
Zeps, Nikolajs, Tamra Lysaght, Ruth Chadwick, et al.. (2021). Ethics and regulatory considerations for the clinical translation of somatic cell human epigenetic editing. Stem Cell Reports. 16(7). 1652–1655. 11 indexed citations
14.
Palmer, Nathan, et al.. (2020). Translating CRISPR-Cas Therapeutics: Approaches and Challenges. The CRISPR Journal. 3(4). 253–275. 26 indexed citations
15.
Moreno, Ana M., Nathan Palmer, Fernando Alemán, et al.. (2019). Immune-orthogonal orthologues of AAV capsids and of Cas9 circumvent the immune response to the administration of gene therapy. Nature Biomedical Engineering. 3(10). 806–816. 83 indexed citations
16.
Tabebordbar, Mohammadsharif, Jie Cheng, Wei Leong Chew, et al.. (2016). In vivo gene editing in dystrophic mouse muscle and muscle stem cells. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
17.
Chew, Wei Leong, Mohammadsharif Tabebordbar, Jason Cheng, et al.. (2016). A multifunctional AAV–CRISPR–Cas9 and its host response. Nature Methods. 13(10). 868–874. 479 indexed citations breakdown →
18.
Yang, Luhan, Adrian W. Briggs, Wei Leong Chew, et al.. (2016). Engineering and optimising deaminase fusions for genome editing. Nature Communications. 7(1). 13330–13330. 61 indexed citations
19.
Tabebordbar, Mohammadsharif, Kexian Zhu, Jason Cheng, et al.. (2015). In vivo gene editing in dystrophic mouse muscle and muscle stem cells. Science. 351(6271). 407–411. 788 indexed citations breakdown →
20.
Kanju, Patrick, Michael Patterson, Wei Leong Chew, et al.. (2011). TRPV4-Mediated Calcium Influx into Human Bronchial Epithelia upon Exposure to Diesel Exhaust Particles. Environmental Health Perspectives. 119(6). 784–793. 96 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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