Chen‐Yu Liao

2.0k total citations · 1 hit paper
19 papers, 1.3k citations indexed

About

Chen‐Yu Liao is a scholar working on Molecular Biology, Physiology and Aging. According to data from OpenAlex, Chen‐Yu Liao has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Physiology and 7 papers in Aging. Recurrent topics in Chen‐Yu Liao's work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Dietary Effects on Health (4 papers) and Circadian rhythm and melatonin (3 papers). Chen‐Yu Liao is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (7 papers), Dietary Effects on Health (4 papers) and Circadian rhythm and melatonin (3 papers). Chen‐Yu Liao collaborates with scholars based in United States, Singapore and Taiwan. Chen‐Yu Liao's co-authors include Vivian Diaz, James F. Nelson, Brad A. Rikke, Brian K. Kennedy, Thomas E. Johnson, Katherine H. Schreiber, Rebeccah Riley, Emmeline C. Academia, Yueh-Mei Hsu and Daniel Edgar and has published in prestigious journals such as Nature Communications, Cell Metabolism and The Journals of Gerontology Series A.

In The Last Decade

Chen‐Yu Liao

19 papers receiving 1.3k citations

Hit Papers

Alpha-Ketoglutarate, an Endogenous Metabolite, Extends Li... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chen‐Yu Liao United States 14 554 533 468 160 135 19 1.3k
Antonello Lorenzini Italy 22 667 1.2× 670 1.3× 334 0.7× 151 0.9× 113 0.8× 57 1.6k
Mario G. Mirisola Italy 19 673 1.2× 768 1.4× 396 0.8× 93 0.6× 163 1.2× 35 1.9k
Kathrin Schmeißer Germany 15 594 1.1× 291 0.5× 430 0.9× 155 1.0× 127 0.9× 20 1.1k
Doreen Kuhlow Germany 11 504 0.9× 365 0.7× 359 0.8× 97 0.6× 120 0.9× 13 993
Sebastian I. Arriola Apelo United States 14 574 1.0× 352 0.7× 198 0.4× 145 0.9× 80 0.6× 29 1.3k
Kerry Cameron United Kingdom 11 369 0.7× 582 1.1× 237 0.5× 67 0.4× 113 0.8× 15 944
José Gómez Spain 21 706 1.3× 598 1.1× 378 0.8× 82 0.5× 62 0.5× 31 1.3k
Ryan Powers United States 7 1.2k 2.2× 533 1.0× 1.1k 2.4× 190 1.2× 240 1.8× 8 1.9k
Virginija Jovaisaite Switzerland 10 970 1.8× 302 0.6× 280 0.6× 190 1.2× 52 0.4× 13 1.4k
Rachel Sullivan United States 3 1.3k 2.3× 442 0.8× 243 0.5× 171 1.1× 34 0.3× 4 1.7k

Countries citing papers authored by Chen‐Yu Liao

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Yu Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Yu Liao. 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 Chen‐Yu Liao. The network helps show where Chen‐Yu Liao may publish in the future.

Co-authorship network of co-authors of Chen‐Yu Liao

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

All Works

19 of 19 papers shown
1.
Yu, Lexiang, Qianfen Wan, Qiongming Liu, et al.. (2024). IgG is an aging factor that drives adipose tissue fibrosis and metabolic decline. Cell Metabolism. 36(4). 793–807.e5. 47 indexed citations
2.
Liao, Chen‐Yu, et al.. (2022). Lamin A to Z in normal aging. Aging. 14(20). 8150–8166. 4 indexed citations
3.
Liao, Chen‐Yu, et al.. (2021). The Autophagy Inducer Spermidine Protects Against Metabolic Dysfunction During Overnutrition. The Journals of Gerontology Series A. 76(10). 1714–1725. 20 indexed citations
4.
Shahmirzadi, Azar Asadi, Daniel Edgar, Chen‐Yu Liao, et al.. (2020). Alpha-Ketoglutarate, an Endogenous Metabolite, Extends Lifespan and Compresses Morbidity in Aging Mice. Cell Metabolism. 32(3). 447–456.e6. 266 indexed citations breakdown →
5.
Sousa‐Victor, Pedro, Joana Neves, Patrick Ventura, et al.. (2019). MANF regulates metabolic and immune homeostasis in ageing and protects against liver damage. Nature Metabolism. 1(2). 276–290. 97 indexed citations
6.
Schreiber, Katherine H., Sebastian I. Arriola Apelo, Deyang Yu, et al.. (2019). A novel rapamycin analog is highly selective for mTORC1 in vivo. Nature Communications. 10(1). 3194–3194. 132 indexed citations
7.
Lee, Jin Young, Brian K. Kennedy, & Chen‐Yu Liao. (2019). Mechanistic target of rapamycin signaling in mouse models of accelerated aging. The Journals of Gerontology Series A. 75(1). 64–72. 11 indexed citations
8.
Allen, Brian D., Chen‐Yu Liao, Louis J. Muglia, et al.. (2019). Hyperadrenocorticism of calorie restriction contributes to its anti‐inflammatory action in mice. Aging Cell. 18(3). e12944–e12944. 13 indexed citations
9.
Liao, Chen‐Yu, Emmeline C. Academia, Yueh-Mei Hsu, et al.. (2017). Evidence that S6K1, but not 4E-BP1, mediates skeletal muscle pathology associated with loss of A-type lamins. Cell Discovery. 3(1). 17039–17039. 17 indexed citations
10.
Horng, Chi‐Ting, et al.. (2017). Cinnamomum Cassia Extracts Suppress Human Lung Cancer Cells Invasion by Reducing u-PA/MMP Expression through the FAK to ERK Pathways. International Journal of Medical Sciences. 15(2). 115–123. 16 indexed citations
11.
Schreiber, Katherine H., et al.. (2015). Rapamycin‐mediated mTORC 2 inhibition is determined by the relative expression of FK 506‐binding proteins. Aging Cell. 14(2). 265–273. 129 indexed citations
12.
Liao, Chen‐Yu & Brian K. Kennedy. (2014). Mouse Models and Aging. Current topics in developmental biology. 109. 249–285. 44 indexed citations
13.
Liao, Chen‐Yu & Brian K. Kennedy. (2012). Will the real aging Sirtuin please stand up?. Cell Research. 22(8). 1215–1217. 10 indexed citations
14.
Liao, Chen‐Yu, Brad A. Rikke, Thomas E. Johnson, et al.. (2011). Fat maintenance is a predictor of the murine lifespan response to dietary restriction. Aging Cell. 10(4). 629–639. 96 indexed citations
15.
Liao, Chen‐Yu, Brad A. Rikke, Thomas E. Johnson, Vivian Diaz, & James F. Nelson. (2010). No evidence that competition for food underlies lifespan shortening by dietary restriction in multiply housed mice: response to commentary. Aging Cell. 9(3). 450–452. 6 indexed citations
16.
Liao, Chen‐Yu, Brad A. Rikke, Thomas E. Johnson, Vivian Diaz, & James F. Nelson. (2009). Genetic variation in the murine lifespan response to dietary restriction: from life extension to life shortening. Aging Cell. 9(1). 92–95. 370 indexed citations
17.
Chen, WenChieh, et al.. (2006). Potent Corticosteroids Inhibit Lipogenesis in Sebaceous Glands. Dermatology. 213(3). 264–265. 6 indexed citations
18.
Shiau, Ai‐Li, Yen‐Lin Chen, Chen‐Yu Liao, Yen‐Sung Huang, & Chao‐Liang Wu. (2001). Prothymosin α enhances protective immune responses induced by oral DNA vaccination against pseudorabies delivered by Salmonella choleraesuis. Vaccine. 19(28-29). 3947–3956. 36 indexed citations
19.
Peng, M.T., et al.. (1983). Pattern of Reproductive Hormone Secretion and Disappearance Rates of LH and FSH in Senile Male Rats. Gerontology. 29(1). 32–40. 16 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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