Yee Lian Chew

1.6k total citations
32 papers, 986 citations indexed

About

Yee Lian Chew is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Yee Lian Chew has authored 32 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Aging, 16 papers in Endocrine and Autonomic Systems and 11 papers in Molecular Biology. Recurrent topics in Yee Lian Chew's work include Genetics, Aging, and Longevity in Model Organisms (27 papers), Circadian rhythm and melatonin (16 papers) and Alzheimer's disease research and treatments (4 papers). Yee Lian Chew is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (27 papers), Circadian rhythm and melatonin (16 papers) and Alzheimer's disease research and treatments (4 papers). Yee Lian Chew collaborates with scholars based in Australia, United Kingdom and United States. Yee Lian Chew's co-authors include William R Schafer, Petra E. Vértes, Hannah Nicholas, Jürgen Götz, Gang Yan, Emma K. Towlson, Denise S. Walker, Albert-Ĺaszló Barabási, Eviatar Yemini and Robyn Branicky and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Yee Lian Chew

30 papers receiving 972 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yee Lian Chew Australia 17 376 290 190 188 177 32 986
Thomas M. Morse United States 14 324 0.9× 472 1.6× 172 0.9× 256 1.4× 693 3.9× 27 1.7k
Eviatar Yemini United States 14 714 1.9× 271 0.9× 175 0.9× 394 2.1× 299 1.7× 22 1.2k
Steven J. Cook United States 14 649 1.7× 313 1.1× 160 0.8× 327 1.7× 257 1.5× 20 1.0k
Padraig Gleeson United Kingdom 17 112 0.3× 527 1.8× 133 0.7× 82 0.4× 608 3.4× 45 1.7k
Adam Bloniarz United States 4 472 1.3× 180 0.6× 95 0.5× 266 1.4× 229 1.3× 4 835
Christopher A. Brittin United States 5 519 1.4× 188 0.6× 110 0.6× 286 1.5× 247 1.4× 6 862
Leo T. H. Tang United States 8 327 0.9× 208 0.7× 77 0.4× 179 1.0× 213 1.2× 9 668
Jonathan T. Pierce United States 23 1.2k 3.2× 689 2.4× 419 2.2× 758 4.0× 604 3.4× 41 2.1k
David Biron United States 21 805 2.1× 138 0.5× 247 1.3× 668 3.6× 313 1.8× 37 1.3k
Takuya Matsuo Japan 11 223 0.6× 600 2.1× 445 2.3× 1.3k 7.0× 533 3.0× 27 2.0k

Countries citing papers authored by Yee Lian Chew

Since Specialization
Citations

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

Fields of papers citing papers by Yee Lian Chew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yee Lian Chew

This figure shows the co-authorship network connecting the top 25 collaborators of Yee Lian Chew. A scholar is included among the top collaborators of Yee Lian 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 Yee Lian Chew. Yee Lian 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.
2.
Johnson, Michaela, et al.. (2025). Dopaminergic Modulation of Short‐Term Associative Memory in Caenorhabditis elegans . Journal of Neurochemistry. 169(8). e70200–e70200.
3.
Chew, Yee Lian, et al.. (2024). DNA Damage and Chromatin Rearrangement Work Together to Promote Neurodegeneration. Molecular Neurobiology. 62(1). 1282–1290. 3 indexed citations
4.
Chew, Yee Lian, et al.. (2023). Behavioral Tests for Associative Learning in Caenorhabditis elegans. Methods in molecular biology. 2746. 21–46. 5 indexed citations
5.
Chew, Yee Lian, et al.. (2023). Neural mechanisms of dopamine function in learning and memory in Caenorhabditis elegans. PubMed. 8(1). NS20230057–NS20230057. 3 indexed citations
6.
Chew, Yee Lian, et al.. (2022). Exploiting flow cytometry for the unbiased quantification of protein inclusions in Caenorhabditis elegans. Journal of Neurochemistry. 161(3). 281–292. 1 indexed citations
7.
Yemini, Eviatar, et al.. (2022). Neuropeptide signalling shapes feeding and reproductive behaviours in male Caenorhabditis elegans. Life Science Alliance. 5(10). e202201420–e202201420. 9 indexed citations
8.
Wang, Zhizhen, Peng Zheng, Xi Chen, et al.. (2022). Cannabidiol induces autophagy and improves neuronal health associated with SIRT1 mediated longevity. GeroScience. 44(3). 1505–1524. 25 indexed citations
9.
Chew, Yee Lian, et al.. (2021). Sleep Analysis in AdultC. elegansReveals State-Dependent Alteration of Neural and Behavioral Responses. Journal of Neuroscience. 41(9). 1892–1907. 13 indexed citations
10.
Cho, Yongmin, et al.. (2020). Multimodal Stimulation in a Microfluidic Device Facilitates Studies of Interneurons in Sensory Integration in C. elegans. Small. 16(10). e1905852–e1905852. 16 indexed citations
11.
Watteyne, Jan, Katleen Peymen, Elke Vandewyer, et al.. (2020). NPY/NPF-Related Neuropeptide FLP-34 Signals from Serotonergic Neurons to Modulate Aversive Olfactory Learning in Caenorhabditis elegans. Journal of Neuroscience. 40(31). 6018–6034. 22 indexed citations
12.
Chew, Yee Lian, Yoshinori Tanizawa, Yongmin Cho, et al.. (2018). An Afferent Neuropeptide System Transmits Mechanosensory Signals Triggering Sensitization and Arousal in C. elegans. Neuron. 99(6). 1233–1246.e6. 44 indexed citations
13.
Bentley, Barry L., Robyn Branicky, Christopher L. Barnes, et al.. (2016). The Multilayer Connectome of Caenorhabditis elegans. PLoS Computational Biology. 12(12). e1005283–e1005283. 153 indexed citations
14.
Llamosas, Estelle, Karen Lee, Yee Lian Chew, et al.. (2016). Homeodomain-Interacting Protein Kinase (HPK-1) regulates stress responses and ageing in C. elegans. Scientific Reports. 6(1). 19582–19582. 17 indexed citations
15.
Chew, Yee Lian, Jürgen Götz, & Hannah Nicholas. (2014). Neuronal protein with tau‐like repeats (PTL‐1) regulates intestinal SKN‐1 nuclear accumulation in response to oxidative stress. Aging Cell. 14(1). 148–151. 10 indexed citations
16.
Chew, Yee Lian, Xiaochen Fan, Jürgen Götz, & Hannah Nicholas. (2014). Regulation of age-related structural integrity in neurons by protein with tau-like repeats (PTL-1) is cell autonomous. Scientific Reports. 4(1). 5185–5185. 11 indexed citations
17.
Lam, Hong, Yee Lian Chew, Samuel D. Banister, et al.. (2014). Altered proteostasis in aging and heat shock response in C. elegans revealed by analysis of the global and de novo synthesized proteome. Cellular and Molecular Life Sciences. 71(17). 3339–3361. 61 indexed citations
18.
Chew, Yee Lian, Samuel D. Banister, Xiaomin Song, et al.. (2014). Bio-orthogonal labeling as a tool to visualize and identify newly synthesized proteins in Caenorhabditis elegans. Nature Protocols. 9(9). 2237–2255. 37 indexed citations
19.
Chew, Yee Lian, Xiaochen Fan, Jürgen Götz, & Hannah Nicholas. (2013). Protein with tau-like repeats regulates neuronal integrity and lifespan inC. elegans. Journal of Cell Science. 126(Pt 9). 2079–91. 48 indexed citations
20.
Götz, Jürgen, Di Xia, Gerhard Leinenga, Yee Lian Chew, & Hannah Nicholas. (2013). What Renders TAU Toxic. Frontiers in Neurology. 4. 72–72. 63 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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