Suyinn Chong

2.5k total citations
37 papers, 1.8k citations indexed

About

Suyinn Chong is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, Suyinn Chong has authored 37 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Pediatrics, Perinatology and Child Health and 11 papers in Genetics. Recurrent topics in Suyinn Chong's work include Epigenetics and DNA Methylation (14 papers), Birth, Development, and Health (13 papers) and Prenatal Substance Exposure Effects (8 papers). Suyinn Chong is often cited by papers focused on Epigenetics and DNA Methylation (14 papers), Birth, Development, and Health (13 papers) and Prenatal Substance Exposure Effects (8 papers). Suyinn Chong collaborates with scholars based in Australia, United States and United Kingdom. Suyinn Chong's co-authors include Emma Whitelaw, Vardhman K. Rakyan, Hugh D. Morgan, Moira K. O’Bryan, Natasha Zamudio, Nina Kaminen‐Ahola, Timothy C. Cox, Kylie‐Ann Mallitt, Paul Fahey and A. Murat Maga and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Suyinn Chong

35 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suyinn Chong Australia 19 1.2k 692 542 135 132 37 1.8k
Jennifer E. Cropley Australia 16 850 0.7× 486 0.7× 268 0.5× 93 0.7× 158 1.2× 25 1.3k
Stefanie Seisenberger United Kingdom 9 2.4k 2.0× 643 0.9× 762 1.4× 159 1.2× 80 0.6× 10 2.8k
Mitsuteru Ito United Kingdom 16 1.7k 1.5× 735 1.1× 957 1.8× 117 0.9× 86 0.7× 20 2.1k
Kazuki Yamazawa Japan 13 810 0.7× 614 0.9× 654 1.2× 43 0.3× 53 0.4× 34 1.2k
Courtney W. Hanna United Kingdom 21 935 0.8× 602 0.9× 436 0.8× 53 0.4× 310 2.3× 35 1.6k
Lucas Fauquier France 6 1.5k 1.2× 550 0.8× 287 0.5× 72 0.5× 110 0.8× 7 2.0k
Paulo Alberto Otto Brazil 25 885 0.8× 183 0.3× 825 1.5× 125 0.9× 122 0.9× 130 1.9k
Serap Erkek Türkiye 10 1.5k 1.3× 552 0.8× 484 0.9× 104 0.8× 74 0.6× 22 1.9k
Hugh D. Morgan Australia 13 2.7k 2.3× 841 1.2× 1.2k 2.3× 330 2.4× 115 0.9× 16 3.4k
Elizabeth J. Radford United Kingdom 15 950 0.8× 471 0.7× 696 1.3× 35 0.3× 94 0.7× 21 1.5k

Countries citing papers authored by Suyinn Chong

Since Specialization
Citations

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

Fields of papers citing papers by Suyinn Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suyinn Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Suyinn Chong. A scholar is included among the top collaborators of Suyinn Chong 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 Suyinn Chong. Suyinn Chong 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.
Lee, Chang Jie Mick, Lingyan Wu, Suyinn Chong, et al.. (2025). The epigenetic basis of hepatocellular carcinoma – mechanisms and potential directions for biomarkers and therapeutics. British Journal of Cancer. 132(10). 869–887. 13 indexed citations
2.
Bhalla, Rajiv, Gary Cowin, Xin Song, et al.. (2020). GABAa receptor density alterations revealed in a mouse model of early moderate prenatal ethanol exposure using [18F]AH114726. Nuclear Medicine and Biology. 88-89. 44–51. 3 indexed citations
3.
Tieng, Quang M., Karine Mardon, Christine Zhang, et al.. (2019). Magnetic Resonance Imaging and Micro-Computed Tomography reveal brain morphological abnormalities in a mouse model of early moderate prenatal ethanol exposure. Neurotoxicology and Teratology. 77. 106849–106849. 4 indexed citations
4.
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Chong, Suyinn, et al.. (2017). Radiological studies of fetal alcohol spectrum disorders in humans and animal models: An updated comprehensive review. Magnetic Resonance Imaging. 43. 10–26. 35 indexed citations
7.
Cuffe, James, Leigh C. Ward, Sarah E. Steane, et al.. (2017). Effects of periconceptional maternal alcohol intake and a postnatal high-fat diet on obesity and liver disease in male and female rat offspring. American Journal of Physiology-Endocrinology and Metabolism. 315(4). E694–E704. 28 indexed citations
8.
Bianco‐Miotto, Tina, Cassidy Blundell, Sam Buckberry, et al.. (2015). IFPA meeting 2015 workshop report I: placental mitochondrial function, transport systems and epigenetics. Placenta. 48. S3–S6. 7 indexed citations
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Chong, Suyinn, et al.. (2013). Early gestational exposure to moderate concentrations of ethanol alters adult behaviour in C57BL/6J mice. Behavioural Brain Research. 252. 326–333. 34 indexed citations
11.
Whitelaw, Nadia, Suyinn Chong, & Emma Whitelaw. (2010). Tuning In to Noise: Epigenetics and Intangible Variation. Developmental Cell. 19(5). 649–650. 15 indexed citations
12.
Kaminen‐Ahola, Nina, Traute Flatscher‐Bader, Sarah J. Wilkins, et al.. (2010). Postnatal growth restriction and gene expression changes in a mouse model of fetal alcohol syndrome. Birth Defects Research Part A Clinical and Molecular Teratology. 88(10). 818–826. 31 indexed citations
13.
Zamudio, Natasha, Suyinn Chong, & Moira K. O’Bryan. (2008). Epigenetic regulation in male germ cells. Reproduction. 136(2). 131–146. 79 indexed citations
14.
Chong, Suyinn, Nicola Vickaryous, Alyson Ashe, et al.. (2007). Modifiers of epigenetic reprogramming show paternal effects in the mouse. Nature Genetics. 39(5). 614–622. 129 indexed citations
15.
Oates, Nathan, Joke van Vliet, David L. Duffy, et al.. (2006). Increased DNA Methylation at the AXIN1 Gene in a Monozygotic Twin from a Pair Discordant for a Caudal Duplication Anomaly. The American Journal of Human Genetics. 79(1). 155–162. 89 indexed citations
16.
Chong, Suyinn & Emma Whitelaw. (2004). Epigenetic germline inheritance. Current Opinion in Genetics & Development. 14(6). 692–696. 156 indexed citations
17.
Blewitt, Marnie E., Suyinn Chong, & Emma Whitelaw. (2004). How the mouse got its spots. Trends in Genetics. 20(11). 550–554. 19 indexed citations
18.
Chong, Suyinn, Joanna Kontaraki, Constanze Bonifer, & Arthur D. Riggs. (2002). A Functional Chromatin Domain Does Not Resist X Chromosome Inactivation: Silencing of cLys Correlates with Methylation of a Dual Promoter-Replication Origin. Molecular and Cellular Biology. 22(13). 4667–4676. 12 indexed citations
19.
Tan, Ene‐Choo & Suyinn Chong. (2000). Identification of Genes for Schizophrenia Susceptibility. Annals of the Academy of Medicine Singapore. 29(3). 305–305. 2 indexed citations
20.
Chong, Suyinn, et al.. (1995). Intragenic matrix attachment and DNA-protein interactions in the human X-linked Hprt gene. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1264(1). 103–114. 9 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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