Jenny D.Y. Chow

1.2k total citations
17 papers, 930 citations indexed

About

Jenny D.Y. Chow is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Jenny D.Y. Chow has authored 17 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Epidemiology and 6 papers in Genetics. Recurrent topics in Jenny D.Y. Chow's work include Estrogen and related hormone effects (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Cancer, Lipids, and Metabolism (4 papers). Jenny D.Y. Chow is often cited by papers focused on Estrogen and related hormone effects (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Cancer, Lipids, and Metabolism (4 papers). Jenny D.Y. Chow collaborates with scholars based in Australia, United States and Austria. Jenny D.Y. Chow's co-authors include Evan R. Simpson, Wah Chin Boon, Kyle L. Hoehn, Frances L. Byrne, David Breen, Marin E. Healy, Ivan K. H. Poon, Stephen H. Caldwell, Margaret E. E. Jones and Jose L. Tomsig and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Jenny D.Y. Chow

17 papers receiving 925 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jenny D.Y. Chow Australia 15 504 250 179 169 153 17 930
Joy Sarkar United States 19 496 1.0× 286 1.1× 88 0.5× 161 1.0× 60 0.4× 28 1.2k
Kenta Magoori Japan 15 555 1.1× 125 0.5× 81 0.5× 185 1.1× 150 1.0× 18 981
Verónica Jiménez Spain 19 646 1.3× 199 0.8× 150 0.8× 336 2.0× 318 2.1× 31 1.2k
Gabriella Esposito Italy 19 650 1.3× 154 0.6× 71 0.4× 60 0.4× 137 0.9× 56 923
Anne Fougerat France 14 578 1.1× 76 0.3× 250 1.4× 106 0.6× 248 1.6× 21 1.0k
Hezhi Fang China 22 996 2.0× 303 1.2× 104 0.6× 147 0.9× 76 0.5× 64 1.3k
George Talbott United States 9 792 1.6× 90 0.4× 192 1.1× 193 1.1× 123 0.8× 17 1.1k
Jean-Louis Danan France 22 559 1.1× 169 0.7× 62 0.3× 109 0.6× 264 1.7× 41 1.0k
Rubén W. Carón Argentina 16 452 0.9× 187 0.7× 76 0.4× 73 0.4× 111 0.7× 45 1.0k

Countries citing papers authored by Jenny D.Y. Chow

Since Specialization
Citations

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

Fields of papers citing papers by Jenny D.Y. Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenny D.Y. Chow. 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 Jenny D.Y. Chow. The network helps show where Jenny D.Y. Chow may publish in the future.

Co-authorship network of co-authors of Jenny D.Y. Chow

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

All Works

17 of 17 papers shown
1.
Tixeira, Rochelle, Thanh Kha Phan, Sarah Caruso, et al.. (2019). ROCK1 but not LIMK1 or PAK2 is a key regulator of apoptotic membrane blebbing and cell disassembly. Cell Death and Differentiation. 27(1). 102–116. 48 indexed citations
2.
Poon, Ivan K. H., Lanzhou Jiang, Georgia K. Atkin‐Smith, et al.. (2019). Moving beyond size and phosphatidylserine exposure: evidence for a diversity of apoptotic cell‐derived extracellular vesicles in vitro. Journal of Extracellular Vesicles. 8(1). 1608786–1608786. 115 indexed citations
3.
Nelson, Marin E., Sujoy Lahiri, Jenny D.Y. Chow, et al.. (2017). Inhibition of hepatic lipogenesis enhances liver tumorigenesis by increasing antioxidant defence and promoting cell survival. Nature Communications. 8(1). 14689–14689. 72 indexed citations
4.
Healy, Marin E., Sujoy Lahiri, Stefan R. Hargett, et al.. (2016). Dietary sugar intake increases liver tumor incidence in female mice. Scientific Reports. 6(1). 22292–22292. 31 indexed citations
5.
Sinderen, Michelle Van, Gregory R. Steinberg, Sebastian B. Jørgensen, et al.. (2016). Sexual dimorphism in the glucose homeostasis phenotype of the Aromatase Knockout (ArKO) mice. The Journal of Steroid Biochemistry and Molecular Biology. 170. 39–48. 20 indexed citations
6.
Steinberg, Gregory R., Sebastian B. Jørgensen, Jane Honeyman, et al.. (2015). Effects of Estrogens on Adipokines and Glucose Homeostasis in Female Aromatase Knockout Mice. PLoS ONE. 10(8). e0136143–e0136143. 23 indexed citations
7.
Byrne, Frances L., Ivan K. H. Poon, Susan C. Modesitt, et al.. (2014). Metabolic Vulnerabilities in Endometrial Cancer. Cancer Research. 74(20). 5832–5845. 91 indexed citations
8.
Healy, Marin E., Jenny D.Y. Chow, Frances L. Byrne, et al.. (2014). Dietary effects on liver tumor burden in mice treated with the hepatocellular carcinogen diethylnitrosamine. Journal of Hepatology. 62(3). 599–606. 60 indexed citations
9.
Chow, Jenny D.Y., Robert Lawrence, Marin E. Healy, et al.. (2014). Genetic inhibition of hepatic acetyl-CoA carboxylase activity increases liver fat and alters global protein acetylation. Molecular Metabolism. 3(4). 419–431. 87 indexed citations
10.
Poon, Ivan K. H., Katharine J. Goodall, Simon Phipps, et al.. (2014). Mice deficient in heparanase exhibit impaired dendritic cell migration and reduced airway inflammation. European Journal of Immunology. 44(4). 1016–1030. 40 indexed citations
11.
Steinberg, Gregory R., Sebastian B. Jørgensen, Sarah Q. To, et al.. (2014). Hepatic Glucose Intolerance Precedes Hepatic Steatosis in the Male Aromatase Knockout (ArKO) Mouse. PLoS ONE. 9(2). e87230–e87230. 20 indexed citations
12.
Taddeo, Evan P., Rhianna C. Laker, David Breen, et al.. (2013). Opening of the mitochondrial permeability transition pore links mitochondrial dysfunction to insulin resistance in skeletal muscle. Molecular Metabolism. 3(2). 124–134. 86 indexed citations
13.
Chow, Jenny D.Y., Margaret E. E. Jones, Katja Prelle, Evan R. Simpson, & Wah Chin Boon. (2011). A selective estrogen receptor α agonist ameliorates hepatic steatosis in the male aromatase knockout mouse. Journal of Endocrinology. 210(3). 323–334. 60 indexed citations
14.
Chow, Jenny D.Y., John T. Price, Margaret Bills, Evan R. Simpson, & Wah Chin Boon. (2011). A doxycycline-inducible, tissue-specific aromatase-expressing transgenic mouse. Transgenic Research. 21(2). 415–428. 4 indexed citations
15.
Boon, Wah Chin, Jenny D.Y. Chow, & Evan R. Simpson. (2010). The Multiple Roles of Estrogens and the Enzyme Aromatase. Progress in brain research. 181. 209–232. 132 indexed citations
16.
Chow, Jenny D.Y., Evan R. Simpson, & Wah Chin Boon. (2009). Alternative 5′-untranslated first exons of the mouse Cyp19A1 (aromatase) gene. The Journal of Steroid Biochemistry and Molecular Biology. 115(3-5). 115–125. 30 indexed citations
17.
Hill, Rachel, Jenny D.Y. Chow, Karl‐Heinrich Fritzemeier, Evan R. Simpson, & Wah Chin Boon. (2007). Fas/FasL-mediated apoptosis in the arcuate nucleus and medial preoptic area of male ArKO mice is ameliorated by selective estrogen receptor alpha and estrogen receptor beta agonist treatment, respectively. Molecular and Cellular Neuroscience. 36(2). 146–157. 11 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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