Su Ting Tay

3.0k total citations
6 papers, 234 citations indexed

About

Su Ting Tay is a scholar working on Molecular Biology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Su Ting Tay has authored 6 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Su Ting Tay's work include RNA modifications and cancer (2 papers), Genetic factors in colorectal cancer (2 papers) and Plant Molecular Biology Research (1 paper). Su Ting Tay is often cited by papers focused on RNA modifications and cancer (2 papers), Genetic factors in colorectal cancer (2 papers) and Plant Molecular Biology Research (1 paper). Su Ting Tay collaborates with scholars based in Singapore, United States and South Korea. Su Ting Tay's co-authors include Patrick Tan, Soo‐Yong Tan, Kun Yu, Khee Chee Soo, Chee How Lee, Dennis Lim, Jaya Visvanathan, Oi Lian Kon, Amit Aggarwal and Wai Keong Wong and has published in prestigious journals such as Nature Communications, Cancer Research and Genome biology.

In The Last Decade

Su Ting Tay

6 papers receiving 233 citations

Peers

Su Ting Tay
Comparison fields: 5 of 38
  • Molecular Biology 140
  • Surgery 85
  • Pulmonary and Respiratory Medicine 73
  • Cancer Research 54
  • Genetics 35
Replace Renata Bordeira–Carriço with:
Renata Bordeira–Carriço Portugal
Sourat Darabi United States
Julian Gehring Germany
Nikhil R. Bhagwat United States
Maurizio Risolino United States
Minli Mo China
Chein Tai Taiwan
Erica McCoy United States
George A. R. Wiggins New Zealand
Felicia Hernandez United States
Renata Bordeira–Carriço Portugal View profile →
Citations per field, relative to Su Ting Tay
Su Ting Tay · 1×
Citations per year, relative to Su Ting Tay
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Countries citing papers authored by Su Ting Tay

Since Specialization
Citations

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

Fields of papers citing papers by Su Ting Tay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Ting 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 Su Ting Tay. The network helps show where Su Ting Tay may publish in the future.

Co-authorship network of co-authors of Su Ting Tay

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 1
2 13
3 50
4 24
5 44
6
A combined comparative genomic hybridization and expression microarray analysis of gastric cancer reveals novel molecular subtypes.
102

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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