Tiong Yang Tan

10.1k total citations · 1 hit paper
69 papers, 2.3k citations indexed

About

Tiong Yang Tan is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Tiong Yang Tan has authored 69 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Genetics, 36 papers in Molecular Biology and 11 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Tiong Yang Tan's work include Genomics and Rare Diseases (21 papers), Genomic variations and chromosomal abnormalities (17 papers) and Congenital heart defects research (11 papers). Tiong Yang Tan is often cited by papers focused on Genomics and Rare Diseases (21 papers), Genomic variations and chromosomal abnormalities (17 papers) and Congenital heart defects research (11 papers). Tiong Yang Tan collaborates with scholars based in Australia, United States and United Kingdom. Tiong Yang Tan's co-authors include Susan M. White, Zornitza Stark, Peter G. Farlie, David J. Amor, Stephen F. Kingsmore, David Dimmock, Lauge Farnaes, Michelle M. Clark, Christopher T. Gordon and Sebastian Lunke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Genetics.

In The Last Decade

Tiong Yang Tan

67 papers receiving 2.2k citations

Hit Papers

Meta-analysis of the diagnostic and clinical utility of g... 2018 2026 2020 2023 2018 100 200 300

Peers

Tiong Yang Tan
Tiong Yang Tan
Citations per year, relative to Tiong Yang Tan Tiong Yang Tan (= 1×) peers Ana Cristina Victorino Krepischi

Countries citing papers authored by Tiong Yang Tan

Since Specialization
Citations

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

Fields of papers citing papers by Tiong Yang Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiong Yang Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Tiong Yang Tan. A scholar is included among the top collaborators of Tiong Yang 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 Tiong Yang Tan. Tiong Yang 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.
Barnett, Christopher F., Mary‐Louise Freckmann, Matthew F. Hunter, et al.. (2024). Critically unwell infants and children with mitochondrial disorders diagnosed by ultrarapid genomic sequencing. Genetics in Medicine. 27(1). 101293–101293. 1 indexed citations
2.
Fennell, Andrew, Samuel F. Berkovic, Carolyn Ellaway, et al.. (2022). The diverse pleiotropic effects of spliceosomal protein PUF60: A case series of Verheij syndrome. American Journal of Medical Genetics Part A. 188(12). 3432–3447. 12 indexed citations
3.
Malarbi, Stephanie, Alice Burnett, Tiong Yang Tan, et al.. (2022). Intellectual Functioning of Children With Isolated PRS, PRS-Plus, and Syndromic PRS. The Cleft Palate-Craniofacial Journal. 61(1). 33–39. 5 indexed citations
4.
Gong, Naihua N., Emilia H. Moscato, Milán Szuperák, et al.. (2021). The chromatin remodeler ISWI acts during Drosophila development to regulate adult sleep. Science Advances. 7(8). 9 indexed citations
5.
Kilpatrick, Nicky, et al.. (2020). Parental experiences and genetic counsellor roles in Pierre Robin sequence. Journal of Community Genetics. 11(4). 475–484. 5 indexed citations
6.
Tan, Tiong Yang, Sebastian Lunke, Belinda Chong, et al.. (2019). A head-to-head evaluation of the diagnostic efficacy and costs of trio versus singleton exome sequencing analysis. European Journal of Human Genetics. 27(12). 1791–1799. 35 indexed citations
7.
Akesson, Lauren, Stefanie Eggers, Belinda Chong, et al.. (2019). Early diagnosis of Pearson syndrome in neonatal intensive care following rapid mitochondrial genome sequencing in tandem with exome sequencing. European Journal of Human Genetics. 27(12). 1821–1826. 14 indexed citations
8.
Lunke, Sebastian, Zornitza Stark, Alison Yeung, et al.. (2018). Exome sequencing has higher diagnostic yield compared to simulated disease-specific panels in children with suspected monogenic disorders. European Journal of Human Genetics. 26(5). 644–651. 83 indexed citations
9.
Robevska, Gorjana, Jocelyn van den Bergen, Emanuele Pelosi, et al.. (2018). Identification of Candidate Genes for Mayer-Rokitansky-Küster-Hauser Syndrome Using Genomic Approaches. Sexual Development. 13(1). 26–34. 29 indexed citations
10.
Clark, Michelle M., Zornitza Stark, Lauge Farnaes, et al.. (2018). Meta-analysis of the diagnostic and clinical utility of genome and exome sequencing and chromosomal microarray in children with suspected genetic diseases. npj Genomic Medicine. 3(1). 16–16. 340 indexed citations breakdown →
11.
Stark, Zornitza, Harriet Dashnow, Sebastian Lunke, et al.. (2017). A clinically driven variant prioritization framework outperforms purely computational approaches for the diagnostic analysis of singleton WES data. European Journal of Human Genetics. 25(11). 1268–1272. 13 indexed citations
12.
Farlie, Peter G., Naomi L. Baker, Patrick Yap, & Tiong Yang Tan. (2016). Frontonasal Dysplasia: Towards an Understanding of Molecular and Developmental Aetiology. Molecular Syndromology. 7(6). 312–321. 34 indexed citations
13.
Stark, Zornitza, Trent Burgess, Alison Yeung, et al.. (2015). SNP microarray abnormalities in a cohort of 28 infants with congenital diaphragmatic hernia. American Journal of Medical Genetics Part A. 167(10). 2319–2326. 18 indexed citations
14.
Tan, Tiong Yang, Nicky Kilpatrick, & Peter G. Farlie. (2013). Developmental and genetic perspectives on Pierre Robin sequence. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 163(4). 295–305. 81 indexed citations
15.
Tan, Tiong Yang & Peter G. Farlie. (2012). Rare syndromes of the head and face—Pierre Robin sequence. Wiley Interdisciplinary Reviews Developmental Biology. 2(3). 369–377. 11 indexed citations
17.
Campos‐Xavier, Belinda, Danielle Martinet, John F. Bateman, et al.. (2009). Mutations in the Heparan-Sulfate Proteoglycan Glypican 6 (GPC6) Impair Endochondral Ossification and Cause Recessive Omodysplasia. The American Journal of Human Genetics. 84(6). 760–770. 84 indexed citations
18.
Tan, Tiong Yang, et al.. (2008). Biallelic PMS2 Mutations and a Distinctive Childhood Cancer Syndrome. Journal of Pediatric Hematology/Oncology. 30(3). 254–257. 24 indexed citations
19.
Hildebrand, Michael S., M. De Silva, Tiong Yang Tan, et al.. (2007). Molecular characterization of a novel X‐linked syndrome involving developmental delay and deafness. American Journal of Medical Genetics Part A. 143A(21). 2564–2575. 13 indexed citations
20.
Tan, Tiong Yang & David J. Amor. (2006). Tumour surveillance in Beckwith–Wiedemann syndrome and hemihyperplasia: A critical review of the evidence and suggested guidelines for local practice. Journal of Paediatrics and Child Health. 42(9). 486–490. 86 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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