Yik-Ying Teo

1.4k total citations · 1 hit paper
12 papers, 357 citations indexed

About

Yik-Ying Teo is a scholar working on Genetics, Oncology and Pharmacology. According to data from OpenAlex, Yik-Ying Teo has authored 12 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Oncology and 3 papers in Pharmacology. Recurrent topics in Yik-Ying Teo's work include Pharmacogenetics and Drug Metabolism (3 papers), Genetic Associations and Epidemiology (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Yik-Ying Teo is often cited by papers focused on Pharmacogenetics and Drug Metabolism (3 papers), Genetic Associations and Epidemiology (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Yik-Ying Teo collaborates with scholars based in Singapore, United States and United Kingdom. Yik-Ying Teo's co-authors include Rosanna Ŵ. Peeling, Patricia García, Dominique Heymann, Ritika Kapoor, Oon‐Tek Ng, Yee‐Sin Leo, Cynthia Sung, Sophia Archuleta, Jenny Liu and Xiaoli Gao and has published in prestigious journals such as The Lancet, PLoS ONE and Annals of Oncology.

In The Last Decade

Yik-Ying Teo

11 papers receiving 352 citations

Hit Papers

Diagnostics for COVID-19:... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yik-Ying Teo Singapore 7 160 89 84 39 34 12 357
Isra Ahmad Farouk Malaysia 4 239 1.5× 93 1.0× 28 0.3× 10 0.3× 32 0.9× 4 520
Yanhong Sun China 10 460 2.9× 128 1.4× 54 0.6× 20 0.5× 32 0.9× 25 664
Nassiba Taib Qatar 6 187 1.2× 127 1.4× 50 0.6× 6 0.2× 24 0.7× 6 449
Wendong Lan China 8 338 2.1× 148 1.7× 23 0.3× 62 1.6× 29 0.9× 9 437
Walid Abbas Zaher United Arab Emirates 11 236 1.5× 60 0.7× 36 0.4× 17 0.4× 20 0.6× 23 388
Xihua Lian China 7 293 1.8× 123 1.4× 35 0.4× 13 0.3× 38 1.1× 18 553
Yen‐Ta Lu Taiwan 15 244 1.5× 115 1.3× 80 1.0× 17 0.4× 46 1.4× 40 698
Lobna Al-Zaidan Qatar 6 188 1.2× 125 1.4× 52 0.6× 5 0.1× 25 0.7× 7 436
Junxian Ou China 12 412 2.6× 178 2.0× 30 0.4× 132 3.4× 31 0.9× 19 563
Rachel Marceau West United States 10 114 0.7× 57 0.6× 34 0.4× 13 0.3× 21 0.6× 30 351

Countries citing papers authored by Yik-Ying Teo

Since Specialization
Citations

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

Fields of papers citing papers by Yik-Ying Teo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yik-Ying Teo. 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 Yik-Ying Teo. The network helps show where Yik-Ying Teo may publish in the future.

Co-authorship network of co-authors of Yik-Ying Teo

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

All Works

12 of 12 papers shown
1.
Liu, Jenny, et al.. (2021). Cost effectiveness analysis of a polygenic risk tailored breast cancer screening programme in Singapore. BMC Health Services Research. 21(1). 379–379. 19 indexed citations
2.
Peeling, Rosanna Ŵ., Dominique Heymann, Yik-Ying Teo, & Patricia García. (2021). Diagnostics for COVID-19: moving from pandemic response to control. The Lancet. 399(10326). 757–768. 248 indexed citations breakdown →
3.
Tan, Nicole Kye Wen, Dominic Wei Ting Yap, Benjamin Kye Jyn Tan, et al.. (2021). 158P Obstructive sleep apnea and breast cancer incidence: A systematic review and meta-analysis. Annals of Oncology. 32. S89–S89. 1 indexed citations
4.
Tan, Sharon Hui Xuan, et al.. (2021). Childhood Factors and Dental Caries in the Permanent Dentition: Findings of an 8-Year Study Under a Nationwide School Dental Service. International Dental Journal. 71(6). 508–515. 8 indexed citations
5.
Jones, Mark, Clare Whitton, Ava Grace Tan, et al.. (2020). Exploring Factors Underlying Ethnic Difference in Age-related Macular Degeneration Prevalence. Ophthalmic Epidemiology. 27(5). 399–408. 4 indexed citations
6.
Takeuchi, Fumihiko, Tomohiro Katsuya, Ryosuke Kimura, et al.. (2017). The fine-scale genetic structure and evolution of the Japanese population. PLoS ONE. 12(11). e0185487–e0185487. 21 indexed citations
7.
Kapoor, Ritika, et al.. (2016). Role of pharmacogenetics in public health and clinical health care: a SWOT analysis. European Journal of Human Genetics. 24(12). 1651–1657. 21 indexed citations
8.
Kapoor, Ritika, et al.. (2015). Pharmacogenetics through a public health lens. Pharmacogenetics and Genomics. 25(10). 518–520. 2 indexed citations
9.
Kapoor, Ritika, Yee‐Sin Leo, Cynthia Sung, et al.. (2014). Reducing hypersensitivity reactions with HLA-B*5701 genotyping before abacavir prescription. Pharmacogenetics and Genomics. 25(2). 60–72. 25 indexed citations
10.
Wong, Lai-Ping, Anthony Cheng, Prida Malasit, et al.. (2013). Viral quasispecies inference from 454 pyrosequencing. BMC Bioinformatics. 14(1). 6 indexed citations
11.
Wong, Lai-Ping, et al.. (2013). Singapore Pharmacogenomics Portal. Pharmacogenetics and Genomics. 23(6). 329–332. 2 indexed citations
12.
Choi, Yoonjoo, et al.. (2010). Developing Stochastic Models for Spatial Inference: Bacterial Chemotaxis. PLoS ONE. 5(5). e10464–e10464.

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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