May Tan

1.0k total citations
14 papers, 385 citations indexed

About

May Tan is a scholar working on Oncology, Language and Linguistics and Molecular Biology. According to data from OpenAlex, May Tan has authored 14 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Language and Linguistics and 3 papers in Molecular Biology. Recurrent topics in May Tan's work include EFL/ESL Teaching and Learning (4 papers), Global Cancer Incidence and Screening (2 papers) and Multilingual Education and Policy (2 papers). May Tan is often cited by papers focused on EFL/ESL Teaching and Learning (4 papers), Global Cancer Incidence and Screening (2 papers) and Multilingual Education and Policy (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, Eric Kenneth Parkinson, Aung Soe Tin, Sandra Z. Haslam, Mark D. Aupperlee, Ivy Chung, Max Robinson, Anand Ramanathan and Maha Ibrahim and has published in prestigious journals such as Cancer Research, Scientific Reports and Endocrinology.

In The Last Decade

May Tan

14 papers receiving 353 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
May Tan Malaysia 10 138 108 106 63 59 14 385
Eun Jeong Lee South Korea 9 84 0.6× 19 0.2× 117 1.1× 44 0.7× 33 0.6× 35 380
Gloria Luque Agulló Spain 16 38 0.3× 161 1.5× 43 0.4× 30 0.5× 62 1.1× 47 595
Given Lee Australia 9 122 0.9× 35 0.3× 132 1.2× 299 4.7× 22 0.4× 13 506
Jennifer Jewell United States 6 27 0.2× 127 1.2× 52 0.5× 156 2.5× 86 1.5× 8 358
Karen Adamson United Kingdom 12 28 0.2× 6 0.1× 23 0.2× 97 1.5× 65 1.1× 27 375
Sayaka Sato Switzerland 12 14 0.1× 27 0.3× 45 0.4× 6 0.1× 14 0.2× 33 357
Kayoko Hashimoto Japan 13 185 1.3× 28 0.3× 148 1.4× 76 1.2× 33 0.6× 33 413
Birgit Henriksen Denmark 12 143 1.0× 24 0.2× 409 3.9× 94 1.5× 10 0.2× 31 825
Alison Robinson United Kingdom 8 61 0.4× 10 0.1× 70 0.7× 205 3.3× 4 0.1× 13 315
Christina Slade Australia 9 30 0.2× 6 0.1× 15 0.1× 71 1.1× 6 0.1× 34 307

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).

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.

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.

All Works

14 of 14 papers shown
1.
Tan, May, Eric Kenneth Parkinson, Lee Fah Yap, & Ian C. Paterson. (2021). Autophagy is deregulated in cancer-associated fibroblasts from oral cancer and is stimulated during the induction of fibroblast senescence by TGF-β1. Scientific Reports. 11(1). 584–584. 24 indexed citations
2.
Koh, Gerald Choon‐Huat, et al.. (2021). Study protocol: a pilot quasi-experimental trial of tele-rehabilitation and tele-drain care post-mastectomy. Pilot and Feasibility Studies. 7(1). 39–39. 1 indexed citations
3.
4.
Tan, May, Max Robinson, Maha Ibrahim, et al.. (2019). Collagen Induces a More Proliferative, Migratory and Chemoresistant Phenotype in Head and Neck Cancer via DDR1. Cancers. 11(11). 1766–1766. 43 indexed citations
5.
Tan, May, et al.. (2018). The effects of a video-based education in women with newly diagnosed breast cancer in Singapore. Supportive Care in Cancer. 26(11). 3891–3897. 13 indexed citations
6.
Tan, May, Eric Kenneth Parkinson, Lee Fah Yap, & Ian C. Paterson. (2018). Abstract 458: Relationship between autophagy, activation and senescence in normal and cancer-associated human oral fibroblasts. Cancer Research. 78(13_Supplement). 458–458. 1 indexed citations
7.
Tan, May, et al.. (2018). Role transition: A descriptive exploratory study of assistant nurse clinicians in Singapore. Journal of Nursing Management. 27(1). 125–132. 3 indexed citations
8.
9.
Tan, May, et al.. (2014). Validation of EORTC QLQ-C30 and QLQ-BR23 questionnaires in the measurement of quality of life of breast cancer patients in Singapore. Asia-Pacific Journal of Oncology Nursing. 1(1). 22–32. 64 indexed citations
10.
Tan, May. (2011). Mathematics and science teachers’ beliefs and practices regarding the teaching of language in content learning. Language Teaching Research. 15(3). 325–342. 120 indexed citations
11.
Tan, May, et al.. (2010). Teaching mathematics and science in English in Malaysian classrooms: The impact of teacher beliefs on classroom practices and student learning. Journal of English for Academic Purposes. 10(1). 5–18. 35 indexed citations
12.
Tan, May, et al.. (2008). MATHEMATICS AND SCIENCE IN ENGLISH: TEACHERS EXPERIENCE INSIDE THE CLASSROOM. 12 indexed citations
13.
Haslam, Sandra Z., et al.. (2008). Progestin-Regulated Luminal Cell and Myoepithelial Cell-Specific Responses in Mammary Organoid Culture. Endocrinology. 149(5). 2098–2107. 29 indexed citations
14.
Tan, May. (2005). Authentic language or language errors? Lessons from a learner corpus. ELT Journal. 59(2). 126–134. 26 indexed citations

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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