Yik Ying Teo
- Infectious Diseases top 2%
- Genetics top 5%
- Modeling and Simulation top 0.5%
- Molecular Biology
- Economics and Econometrics top 5%
- Co-authors
- Li Yang HsuAlex R. CookHelena Legido‐QuigleyDominique HeymannNima Asgari‐JirhandehGM LeungKenji ShibuyaKerrin S. Small
- Topics
- Genetic Associations and Epidemiology (11 papers)Genetic Mapping and Diversity in Plants and Animals (7 papers)Pharmacogenetics and Drug Metabolism (4 papers)
- Partner nations
- SingaporeUnited KingdomUnited States
In The Last Decade
Yik Ying Teo
62 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Infectious Diseases 687
- Genetics 420
- Modeling and Simulation 412
- Molecular Biology 410
- Economics and Econometrics 309
Countries citing papers authored by Yik Ying Teo
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 353 | |
| 3 | 11 | |
| 4 | 81 | |
| 5 | Lessons learnt from easing COVID-19 restrictions: an analysis of countries and regions in Asia Pacific and Europebreakdown → | 502 |
| 6 | 29 | |
| 7 | 6 | |
| 8 | Research Article ( New England Journal of Medicine ) A trial of a 7-valent pneumococcal conjugate vaccine in HIV-infected adults | 11 |
| 9 | 22 | |
| 10 | 62 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 79 | |
| 14 | 12 | |
| 15 | 44 | |
| 16 | 14 | |
| 17 | 26 | |
| 18 | 106 | |
| 19 | 59 | |
| 20 | 1 |
About Yik Ying Teo
Yik Ying Teo is a scholar working on Modeling and Simulation, Molecular Medicine and Genetics, having authored 62 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (11 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Modeling and Simulation (412 citations), Infectious Diseases (687 citations) and Health (173 citations). Yik Ying Teo has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Li Yang Hsu, Alex R. Cook, Helena Legido‐Quigley, Dominique Heymann, Nima Asgari‐Jirhandeh, GM Leung, Kenji Shibuya, Kerrin S. Small, Dominic Kwiatkowski and Taane G. Clark. Their work appears in journals such as The Lancet, Nature Communications and Journal of Clinical Oncology.
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.