May Tan

22 total papers · 1.0k total citations
13 papers, 328 citations indexed

About

May Tan is a scholar working on Oncology, Molecular Biology and Language and Linguistics. According to data from OpenAlex, May Tan has authored 13 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Language and Linguistics. Recurrent topics in May Tan’s work include EFL/ESL Teaching and Learning (3 papers), Cancer survivorship and care (2 papers) and Global Cancer Incidence and Screening (2 papers). May Tan is often cited by papers focused on EFL/ESL Teaching and Learning (3 papers), Cancer survivorship and care (2 papers) and Global Cancer Incidence and Screening (2 papers). May Tan collaborates with scholars based in Malaysia, Singapore and United Kingdom. May Tan's co-authors include Lee Fah Yap, Ian C. Paterson, Aung Soe Tin, Eric Kenneth Parkinson, Sandra Z. Haslam, Mark D. Aupperlee, Max Robinson, Maha Ibrahim, Hisham Mehanna and Cheryl Rodgers and has published in prestigious journals such as Cancer Research, Scientific Reports and Endocrinology.

Co-authorship network of co-authors of May Tan

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

May Tan

13 papers receiving 305 citations

Fields of papers citing papers by May Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by May Tan

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026