Gabriel Chew

1.6k total citations · 1 hit paper
8 papers, 632 citations indexed

About

Gabriel Chew is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Gabriel Chew has authored 8 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Gabriel Chew's work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Alzheimer's disease research and treatments (2 papers) and Nuclear Receptors and Signaling (2 papers). Gabriel Chew is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Alzheimer's disease research and treatments (2 papers) and Nuclear Receptors and Signaling (2 papers). Gabriel Chew collaborates with scholars based in Singapore, China and United Kingdom. Gabriel Chew's co-authors include Enrico Petretto, Owen J. L. Rackham, Alexandra Grubman, Ryan Lister, Dulce B. Vargas-Landín, Rebecca K. Simmons, José M. Polo, Xin Yi Choo, Daniel Poppe and Sam Buckberry and has published in prestigious journals such as Nature Communications, Nature Neuroscience and Journal of the American Society of Nephrology.

In The Last Decade

Gabriel Chew

7 papers receiving 626 citations

Hit Papers

A single-cell atlas of entorhinal cortex from individuals... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriel Chew Singapore 5 335 331 242 101 81 8 632
Xin Yi Choo Australia 5 332 1.0× 321 1.0× 263 1.1× 92 0.9× 81 1.0× 8 645
Shun‐Fat Lau Hong Kong 9 289 0.9× 204 0.6× 204 0.8× 106 1.0× 52 0.6× 10 504
Monika Plescher Germany 7 274 0.8× 206 0.6× 232 1.0× 83 0.8× 99 1.2× 7 578
Selina Imboywa United States 4 301 0.9× 233 0.7× 363 1.5× 108 1.1× 72 0.9× 5 625
Nelli Blank Germany 7 255 0.8× 169 0.5× 166 0.7× 71 0.7× 107 1.3× 10 501
Stephanie Ziegler‐Waldkirch Germany 7 280 0.8× 167 0.5× 252 1.0× 101 1.0× 59 0.7× 10 504
Mariko Taga United States 12 238 0.7× 252 0.8× 235 1.0× 76 0.8× 51 0.6× 18 541
Christina Yung United States 6 296 0.9× 181 0.5× 163 0.7× 157 1.6× 42 0.5× 7 471
Wenfei Liu United Kingdom 10 232 0.7× 225 0.7× 233 1.0× 122 1.2× 83 1.0× 10 555
David Le United States 10 456 1.4× 197 0.6× 360 1.5× 176 1.7× 132 1.6× 11 770

Countries citing papers authored by Gabriel Chew

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Chew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Chew

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

All Works

8 of 8 papers shown
1.
Chen, Huimei, Ran You, Jing Guo, et al.. (2024). WWP2 Regulates Renal Fibrosis and the Metabolic Reprogramming of Profibrotic Myofibroblasts. Journal of the American Society of Nephrology. 35(6). 696–718. 15 indexed citations
2.
Chew, Gabriel, John F. Ouyang, Yinxia Chao, et al.. (2024). Transcriptomic imputation of genetic risk variants uncovers novel whole-blood biomarkers of Parkinson’s disease. npj Parkinson s Disease. 10(1). 99–99. 3 indexed citations
3.
Welton, Thomas, et al.. (2024). Association of Gene Expression and Tremor Network Structure. Movement Disorders. 39(7). 1119–1130.
4.
Chen, Huimei, Gabriel Chew, Kevin Huang, et al.. (2022). The E3 ubiquitin ligase WWP2 regulates pro-fibrogenic monocyte infiltration and activity in heart fibrosis. Nature Communications. 13(1). 7375–7375. 28 indexed citations
5.
Sparks, Matthew A., Donna L. Ralph, Gabriel Chew, et al.. (2021). Vascular control of kidney epithelial transporters. American Journal of Physiology-Renal Physiology. 320(6). F1080–F1092. 5 indexed citations
6.
Grubman, Alexandra, Gabriel Chew, Guizhi Sun, et al.. (2021). A single-cell atlas of entorhinal cortex from individuals with Alzheimer's disease reveals cell-type-specific gene expression regulation. UWA Profiles and Research Repository (University of Western Australia). 1 indexed citations
7.
Grubman, Alexandra, Gabriel Chew, John F. Ouyang, et al.. (2019). A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation. Nature Neuroscience. 22(12). 2087–2097. 555 indexed citations breakdown →
8.
Chew, Gabriel & Enrico Petretto. (2019). Transcriptional Networks of Microglia in Alzheimer’s Disease and Insights into Pathogenesis. Genes. 10(10). 798–798. 25 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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