May Tan
Impact in
-
- Second Language Learning and Teaching
- Language and Linguistics top 5%
- EFL/ESL Teaching and Learning
Papers in
- Oncology 5
- Cancer survivorship and care 2
- Global Cancer Incidence and Screening 2
-
- EFL/ESL Teaching and Learning 4
- Co-authors
- Ian C. Paterson (4 shared papers)Lee Fah Yap (4 shared papers)Aung Soe Tin (1 shared paper)Eric Kenneth Parkinson (3 shared papers)Mark D. Aupperlee (1 shared paper)Sandra Z. Haslam (1 shared paper)Hisham Mehanna (1 shared paper)Rachel Spruce (1 shared paper)
- Journals
- Cancers (1 paper)Scientific Reports (1 paper)PeerJ (1 paper)Journal of English for Academic Purposes (1 paper)Language Teaching Research (1 paper)
- Partner nations
- MalaysiaSingaporeUnited Kingdom
In The Last Decade
May Tan
14 papers receiving 353 citations
Peers
Comparison fields: 5 of 82
- Literature and Literary Theory 138
- Language and Linguistics 106
- Linguistics and Language 45
- Oncology 108
- Developmental and Educational Psychology 49
Countries citing papers authored by May Tan
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).
Fields of papers citing papers by May Tan
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.
Co-authors
The 25 scholars most cited alongside May Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 120 | |
| 2 | 2014 | 64 | |
| 3 | 2019 | 43 | |
| 4 | 2010 | 35 | |
| 5 | 2008 | 29 | |
| 6 | 2005 | 26 | |
| 7 | 2021 | 24 | |
| 8 | 2018 | 13 | |
| 9 | MATHEMATICS AND SCIENCE IN ENGLISH: TEACHERS EXPERIENCE INSIDE THE CLASSROOM | 2008 | 12 |
| 10 | 2020 | 10 | |
| 11 | 2015 | 4 | |
| 12 | 2018 | 3 | |
| 13 | 2021 | 1 | |
| 14 | 2018 | 1 |
About May Tan
May Tan is a scholar working on Oncology, Language and Linguistics, Molecular Biology, Developmental and Educational Psychology and Cancer Research, having authored 14 papers that have together received 385 indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (4 papers), Second Language Acquisition and Learning (2 papers), Cancer-related molecular mechanisms research (2 papers), Second Language Learning and Teaching (2 papers), Multilingual Education and Policy (2 papers), Cancer survivorship and care (2 papers), Global Cancer Incidence and Screening (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Literature and Literary Theory (138 citations), Language and Linguistics (106 citations), Linguistics and Language (45 citations), Oncology (108 citations) and Developmental and Educational Psychology (49 citations). May Tan has collaborated with scholars based in Malaysia, Singapore and United Kingdom. Frequent co-authors include Ian C. Paterson, Lee Fah Yap, Aung Soe Tin, Eric Kenneth Parkinson, Mark D. Aupperlee, Sandra Z. Haslam, Hisham Mehanna, Rachel Spruce, Wenbin Wei and Maha Ibrahim. Their work appears in journals such as Cancers, Scientific Reports, PeerJ, Journal of English for Academic Purposes and Language Teaching Research.
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.