May Tan

13 papers and 306 indexed citations i.

About

May Tan is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, May Tan has authored 13 papers receiving a total of 306 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 Cancer Research. Recurrent topics in May Tan’s work include EFL/ESL Teaching and Learning (3 papers), Multilingual Education and Policy (2 papers) and Cancer-related molecular mechanisms research (2 papers). May Tan is often cited by papers focused on EFL/ESL Teaching and Learning (3 papers), Multilingual Education and Policy (2 papers) and Cancer-related molecular mechanisms research (2 papers). May Tan collaborates with scholars based in Malaysia, United Kingdom and Singapore. May Tan's co-authors include Ian C. Paterson, Lee Fah Yap, Aung Soe Tin, Eric Kenneth Parkinson, Sandra Z. Haslam, Mark D. Aupperlee, Cheryl Rodgers, Wenbin Wei, Wei Sean Yong and Rachel Spruce and has published in prestigious journals such as Cancer Research, Scientific Reports and Endocrinology.

In The Last Decade

Co-authorship network of co-authors of May Tan i

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.

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2025