Yvonne Tay
- Molecular Biology top 0.2%
- Cancer Research top 0.01%
- Immunology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Epidemiology top 5%
- Co-authors
- Pier Paolo PandolfiLeonardo SalmenaLaura PolisenoLev M. KatsJohn L. RinnIsidore RigoutsosAndrew M. ThomsonBing Lim
- Topics
- Cancer-related molecular mechanisms research (23 papers)MicroRNA in disease regulation (21 papers)RNA modifications and cancer (12 papers)
- Partner nations
- SingaporeUnited StatesItaly
In The Last Decade
Yvonne Tay
37 papers receiving 15.5k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 13.7k
- Cancer Research 13.2k
- Immunology 642
- Pulmonary and Respiratory Medicine 560
- Epidemiology 476
Countries citing papers authored by Yvonne Tay
This map shows the geographic impact of Yvonne Tay'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 Yvonne Tay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yvonne Tay more than expected).
Fields of papers citing papers by Yvonne Tay
This network shows the impact of papers produced by Yvonne Tay. 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 Yvonne Tay. The network helps show where Yvonne Tay may publish in the future.
Co-authorship network of co-authors of Yvonne Tay
This figure shows the co-authorship network connecting the top 25 collaborators of Yvonne Tay. A scholar is included among the top collaborators of Yvonne Tay 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 Yvonne Tay. Yvonne Tay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 32 | |
| 5 | 11 | |
| 6 | 49 | |
| 7 | 65 | |
| 8 | Noncoding RNA:RNA Regulatory Networks in Cancerbreakdown → | 834 |
| 9 | 17 | |
| 10 | Oncogenic Role of Fusion-circRNAs Derived from Cancer-Associated Chromosomal Translocationsbreakdown → | 600 |
| 11 | 3 | |
| 12 | The multilayered complexity of ceRNA crosstalk and competitionbreakdown → | 3072 |
| 13 | 114 | |
| 14 | 11 | |
| 15 | A ceRNA Hypothesis: The Rosetta Stone of a Hidden RNA Language?breakdown → | 5565 |
| 16 | 22 | |
| 17 | 15 | |
| 18 | 55 | |
| 19 | A Pattern-Based Method for the Identification of MicroRNA Binding Sites and Their Corresponding Heteroduplexesbreakdown → | 1623 |
| 20 | 30 |
About Yvonne Tay
Yvonne Tay is a scholar working on Cancer Research, Molecular Biology and Developmental Neuroscience, having authored 37 papers that have together received 15.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (23 papers), MicroRNA in disease regulation (21 papers) and RNA modifications and cancer (12 papers). The work is most often cited by research in Cancer Research (13.2k citations), Molecular Biology (13.7k citations) and Endocrinology (178 citations). Yvonne Tay has collaborated with scholars based in Singapore, United States and Italy. Frequent co-authors include Pier Paolo Pandolfi, Leonardo Salmena, Laura Poliseno, Lev M. Kats, John L. Rinn, Isidore Rigoutsos, Andrew M. Thomson, Bing Lim, Jia Jia Chan and Jinqiu Zhang. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.