Ai Ling Teh

1.9k total citations
22 papers, 555 citations indexed

About

Ai Ling Teh is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, Ai Ling Teh has authored 22 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Pediatrics, Perinatology and Child Health and 5 papers in Genetics. Recurrent topics in Ai Ling Teh's work include Epigenetics and DNA Methylation (11 papers), Birth, Development, and Health (6 papers) and Genetic Syndromes and Imprinting (5 papers). Ai Ling Teh is often cited by papers focused on Epigenetics and DNA Methylation (11 papers), Birth, Development, and Health (6 papers) and Genetic Syndromes and Imprinting (5 papers). Ai Ling Teh collaborates with scholars based in Singapore, New Zealand and Canada. Ai Ling Teh's co-authors include Yap Seng Chong, Peter D. Gluckman, Neerja Karnani, Christiani Jeyakumar Henry, Yanika Kowitlawakul, Joanna D. Holbrook, Venetia Ong, Rob M. van Dam, Amartya Mukhopadhyay and Claudia Leong and has published in prestigious journals such as Nature Communications, The Journal of Clinical Endocrinology & Metabolism and Human Molecular Genetics.

In The Last Decade

Ai Ling Teh

19 papers receiving 545 citations

Peers

Ai Ling Teh
Nicole Y. Souren Netherlands
Rasa Verkauskienė Lithuania
Corinne De Laet Belgium
Yuan Yang China
M. Suzuki Japan
A. Fjellestad‐Paulsen France
Kah Yin Loke Singapore
Giuliana Coata Italy
Jessica R. Miller United States
Nicole Y. Souren Netherlands
Ai Ling Teh
Citations per year, relative to Ai Ling Teh Ai Ling Teh (= 1×) peers Nicole Y. Souren

Countries citing papers authored by Ai Ling Teh

Since Specialization
Citations

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

Fields of papers citing papers by Ai Ling Teh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ai Ling Teh. 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 Ai Ling Teh. The network helps show where Ai Ling Teh may publish in the future.

Co-authorship network of co-authors of Ai Ling Teh

This figure shows the co-authorship network connecting the top 25 collaborators of Ai Ling Teh. A scholar is included among the top collaborators of Ai Ling Teh 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 Ai Ling Teh. Ai Ling Teh 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.
Buthmann, Jessica L., et al.. (2025). Maternal history of maltreatment interacts with DNA methylation patterns to predict infant temperament. Child Abuse & Neglect. 169(Pt 2). 107650–107650.
3.
Akinkugbe, Aderonke A., Chin‐Ying Stephen Hsu, Corina Lesseur, et al.. (2025). Smoking-Associated DNA Methylation and Offspring Caries Experience: Findings from the GUSTO Study. Journal of Dental Research. 105(4). 451–459.
4.
Merrill, Sarah M., Chaini Konwar, Julia L. MacIsaac, et al.. (2025). Impact of age-related changes in buccal epithelial cells on pediatric epigenetic biomarker research. Nature Communications. 16(1). 609–609. 3 indexed citations
5.
Teh, Ai Ling, et al.. (2025). Longitudinal prediction of DNA methylation to forecast epigenetic outcomes. EBioMedicine. 115. 105709–105709.
6.
Teh, Ai Ling, Michelle Z. L. Kee, Juan Zhou, et al.. (2024). The influence of early-life adversity on the coupling of structural and functional brain connectivity across childhood. Nature Mental Health. 2(1). 52–62. 14 indexed citations
7.
Pan, Hong, Pei Fang Tan, Ives Lim, et al.. (2022). Integrative multi-omics database (iMOMdb) of Asian pregnant women. Human Molecular Genetics. 31(18). 3051–3067. 2 indexed citations
8.
Kee, Michelle Z. L., Ai Ling Teh, Irina Pokhvisneva, et al.. (2022). Fetal sex-specific epigenetic associations with prenatal maternal depressive symptoms. iScience. 25(9). 104860–104860. 3 indexed citations
9.
Lim, Ives, Xinyi Lin, Ai Ling Teh, et al.. (2021). Dichotomy in the Impact of Elevated Maternal Glucose Levels on Neonatal Epigenome. The Journal of Clinical Endocrinology & Metabolism. 107(3). e1277–e1292. 4 indexed citations
10.
Wu, Yonghui, Xinyi Lin, Ives Lim, et al.. (2019). Analysis of two birth tissues provides new insights into the epigenetic landscape of neonates born preterm. Clinical Epigenetics. 11(1). 26–26. 24 indexed citations
11.
Ong, Mei‐Lyn, Ta Anh Tuan, Joann S. Poh, et al.. (2019). Neonatal amygdalae and hippocampi are influenced by genotype and prenatal environment, and reflected in the neonatal DNA methylome. Genes Brain & Behavior. 18(7). e12576–e12576. 16 indexed citations
12.
Rashid, Masturah Bte Mohd Abdul, Tan Boon Toh, Lissa Hooi, et al.. (2018). Optimizing drug combinations against multiple myeloma using a quadratic phenotypic optimization platform (QPOP). Science Translational Medicine. 10(453). 84 indexed citations
13.
Lin, Xinyi, Ai Ling Teh, Li Chen, et al.. (2017). Choice of surrogate tissue influences neonatal EWAS findings. BMC Medicine. 15(1). 211–211. 26 indexed citations
14.
Teh, Ai Ling, Hong Pan, Xinyi Lin, et al.. (2016). Comparison of Methyl-capture Sequencing vs. Infinium 450K methylation array for methylome analysis in clinical samples. Epigenetics. 11(1). 36–48. 36 indexed citations
15.
Mukhopadhyay, Amartya, Christiani Jeyakumar Henry, Venetia Ong, et al.. (2016). Association of modified NUTRIC score with 28-day mortality in critically ill patients. Clinical Nutrition. 36(4). 1143–1148. 111 indexed citations
16.
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Pan, Hong, Xinyi Lin, Yonghui Wu, et al.. (2015). HIF3A Association with Adiposity: The Story Begins Before Birth. Epigenomics. 7(6). 937–950. 55 indexed citations
18.
Aris, Izzuddin M., Mya Thway Tint, Ai Ling Teh, et al.. (2015). MC3R gene polymorphisms are associated with early childhood adiposity gain and infant appetite in an Asian population. Pediatric Obesity. 11(6). 450–458. 17 indexed citations
19.
Sukarieh, Rami, Roy Joseph, Shi Chi Leow, et al.. (2014). Molecular pathways reflecting poor intrauterine growth are found in Wharton's jelly-derived mesenchymal stem cells. Human Reproduction. 29(10). 2287–2301. 20 indexed citations
20.
Pan, Hong, Li Chen, Shaillay Kumar Dogra, et al.. (2012). Measuring the methylome in clinical samples: Improved processing of the Infinium Human Methylation450 BeadChip Array. Epigenetics. 7(10). 1173–1187. 57 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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