Ai Peng Tan

901 total citations
73 papers, 440 citations indexed

About

Ai Peng Tan is a scholar working on Pediatrics, Perinatology and Child Health, Surgery and Molecular Biology. According to data from OpenAlex, Ai Peng Tan has authored 73 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pediatrics, Perinatology and Child Health, 11 papers in Surgery and 11 papers in Molecular Biology. Recurrent topics in Ai Peng Tan's work include Functional Brain Connectivity Studies (10 papers), Maternal Mental Health During Pregnancy and Postpartum (8 papers) and Fetal and Pediatric Neurological Disorders (6 papers). Ai Peng Tan is often cited by papers focused on Functional Brain Connectivity Studies (10 papers), Maternal Mental Health During Pregnancy and Postpartum (8 papers) and Fetal and Pediatric Neurological Disorders (6 papers). Ai Peng Tan collaborates with scholars based in Singapore, Canada and United Kingdom. Ai Peng Tan's co-authors include Kshitij Mankad, Wui Khean Chong, Il Han Choo, Lee K. Tan, Frances M. Cowan, Marielle V. Fortier, Michael J. Meaney, Margaret H. Pui, Yap Seng Chong and Fabrício Guimarães Gonçalves and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and NeuroImage.

In The Last Decade

Ai Peng Tan

61 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ai Peng Tan Singapore 13 103 72 63 63 59 73 440
Zulma Tovar-Spinoza United States 12 62 0.6× 192 2.7× 66 1.0× 103 1.6× 81 1.4× 26 565
Mine Çalışkan Türkiye 13 181 1.8× 69 1.0× 30 0.5× 23 0.4× 58 1.0× 70 494
Kenjiro Gondo Japan 15 92 0.9× 47 0.7× 87 1.4× 46 0.7× 55 0.9× 31 502
Alessandra Tiberti Italy 15 249 2.4× 56 0.8× 70 1.1× 76 1.2× 83 1.4× 25 714
Mary Edwards‐Brown United States 15 128 1.2× 135 1.9× 67 1.1× 40 0.6× 52 0.9× 31 571
Alfred Peter Born Denmark 15 75 0.7× 201 2.8× 62 1.0× 49 0.8× 20 0.3× 52 644
Patricia Roche United States 8 59 0.6× 140 1.9× 58 0.9× 101 1.6× 63 1.1× 12 479
Meral Özmen Türkiye 17 228 2.2× 120 1.7× 78 1.2× 79 1.3× 94 1.6× 67 830
Colleen McLaughlin United States 13 185 1.8× 112 1.6× 40 0.6× 24 0.4× 139 2.4× 20 644
Motoyo Yano United States 15 44 0.4× 46 0.6× 61 1.0× 55 0.9× 114 1.9× 45 571

Countries citing papers authored by Ai Peng Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ai Peng Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ai Peng Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Ai Peng Tan. A scholar is included among the top collaborators of Ai Peng Tan 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 Peng Tan. Ai Peng Tan 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.
Keller, Arielle S., Ran Barzilay, Monica E. Calkins, et al.. (2025). Cognition varies across the calendar year in multiple large-scale datasets. Proceedings of the National Academy of Sciences. 122(51). e2506054122–e2506054122.
2.
Huang, Jian, Michelle Z. L. Kee, Ai Peng Tan, et al.. (2025). Linking obesity-associated genotype to child language development: the role of early-life neurology-related proteomics and brain myelination. EBioMedicine. 113. 105579–105579.
3.
Tan, Ai Peng, Marielle V. Fortier, Michael J. Meaney, et al.. (2025). Maternal Childhood Maltreatment, Development of Amygdala Volume, and Anxiety Symptoms in Offspring. Journal of the American Academy of Child & Adolescent Psychiatry. 65(3). 420–431.
4.
Labus, Jennifer S., Jia Xu, Neerja Karnani, et al.. (2025). Childhood gut microbiome is linked to internalizing symptoms at school age via the functional connectome. Nature Communications. 16(1). 9359–9359.
5.
Huang, Pei, et al.. (2024). Social behavior in ASD males: The interplay between cognitive flexibility, working memory, and functional connectivity deviations. Developmental Cognitive Neuroscience. 71. 101483–101483.
6.
Ng, Nicholas Beng Hui, Navin Michael, Shirong Cai, et al.. (2024). Associations of fetal and postnatal growth trajectories with child cognition: the GUSTO cohort study. International Journal of Epidemiology. 54(1). 1 indexed citations
7.
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
8.
Kee, Michelle Z. L., Ai Peng Tan, Bobby K. Cheon, et al.. (2024). Maternal Depressive Symptoms and Risk for Childhood Depression: Role of Executive Functions. Journal of the American Academy of Child & Adolescent Psychiatry. 64(8). 946–958.
9.
Kee, Michelle Z. L., Anne Rifkin‐Graboi, Yap Seng Chong, et al.. (2024). Neonatal Nucleus Accumbens Microstructure Modulates Individual Susceptibility to Preconception Maternal Stress in Relation to Externalizing Behaviors. Journal of the American Academy of Child & Adolescent Psychiatry. 63(10). 1035–1046. 1 indexed citations
10.
Ng, Kwun Kei, Xing Qian, Siwei Liu, et al.. (2024). Rate of brain aging associates with future executive function in Asian children and older adults. eLife. 13. 1 indexed citations
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Tint, Mya Thway, Marissa R. Lee, Peter D. Gluckman, et al.. (2023). Functional activity of the caudate mediates the relation between early childhood microstructural variations and elevated metabolic syndrome scores. NeuroImage. 278. 120273–120273. 1 indexed citations
14.
Chong, Yap Seng, Peter D. Gluckman, Helen Chen, et al.. (2023). Functional connectivity analysis of childhood depressive symptoms. NeuroImage Clinical. 38. 103395–103395. 2 indexed citations
15.
Tan, Ai Peng, Peter D. Gluckman, Yap Seng Chong, et al.. (2021). Left lateralization of neonatal caudate microstructure affects emerging language development at 24 months. European Journal of Neuroscience. 54(2). 4621–4637. 5 indexed citations
16.
Tan, Ai Peng, et al.. (2018). Delayed Radiation Necrosis and Evolution of Its Imaging Features Over Time: An Illustrative Case Report. Journal of Oncology Practice. 14(12). 754–756. 1 indexed citations
17.
Mankad, Kshitij, et al.. (2018). Neurometabolic Disorders of the Newborn. Topics in Magnetic Resonance Imaging. 27(4). 179–196. 7 indexed citations
18.
Tan, Ai Peng & Kshitij Mankad. (2017). Intraventricular Glioblastoma Multiforme in A Child with L2-Hydroxyglutaric Aciduria. World Neurosurgery. 110. 288–290. 3 indexed citations
19.
Lani, Mohd Nizam, Ai Peng Tan, Zarizal Suhaili, & Zaiton Hassan. (2017). Microbiological evaluation on raw materials andfood contact surfaces of ‘keropok lekor’premises in Kuala Nerus, Terengganu and theirprevalence of antibiotic resistant bacteria. 1 indexed citations
20.
Tan, Ai Peng, et al.. (2014). Acute Free-floating Carotid Artery Thrombus Causing Stroke in a Young Patient: Unique Etiology and Management Using Endovascular Approach. Journal of Stroke and Cerebrovascular Diseases. 23(10). e437–e439. 14 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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