M-H. Tan

983 total citations · 1 hit paper
6 papers, 703 citations indexed

About

M-H. Tan is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, M-H. Tan has authored 6 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 3 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in M-H. Tan's work include Cancer Genomics and Diagnostics (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Hormonal and reproductive studies (1 paper). M-H. Tan is often cited by papers focused on Cancer Genomics and Diagnostics (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Hormonal and reproductive studies (1 paper). M-H. Tan collaborates with scholars based in Singapore and United States. M-H. Tan's co-authors include Jun Li, H. Eric Xu, Eu‐Leong Yong, Karsten Melcher, Sathiyamoorthy Selvarajan, Andrew Lee, Bin Tean Teh, George W. Yip, Noan‐Minh Chau and Alexandre Chan and has published in prestigious journals such as Cancer Research, Annals of Oncology and Journal of Clinical Pathology.

In The Last Decade

M-H. Tan

5 papers receiving 691 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Androgen receptor: structure, role in prostate cancer and drug discovery

2014 650 citations M-H. Tan, Jun Li et al. Acta Pharmacologica Sinica profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M-H. Tan Singapore	3	338	317	172	137	132	6	703
Surojeet Sengupta United States	18	437 1.3×	72 0.2×	289 1.7×	283 2.1×	57 0.4×	33	864
Benjamin P. Haynes United Kingdom	11	154 0.5×	238 0.8×	171 1.0×	137 1.0×	142 1.1×	14	530
Yanfeng Qi United States	13	406 1.2×	556 1.8×	124 0.7×	114 0.8×	188 1.4×	15	798
Charles S. Dai United States	9	240 0.7×	410 1.3×	76 0.4×	152 1.1×	95 0.7×	25	633
Karsten Denner Germany	11	323 1.0×	93 0.3×	70 0.4×	108 0.8×	208 1.6×	19	660
Elin Thysell Sweden	18	568 1.7×	415 1.3×	52 0.3×	197 1.4×	65 0.5×	38	1.1k
Aline Hébrant Belgium	14	496 1.5×	96 0.3×	72 0.4×	241 1.8×	260 2.0×	24	895
Leslie Hodges-Gallagher United States	15	360 1.1×	82 0.3×	306 1.8×	189 1.4×	27 0.2×	24	804
Lynn N. Thomas Canada	18	424 1.3×	792 2.5×	170 1.0×	75 0.5×	555 4.2×	31	1.3k
Magdalena Niemira Poland	17	459 1.4×	122 0.4×	61 0.4×	121 0.9×	36 0.3×	47	828

Countries citing papers authored by M-H. Tan

Since Specialization

Citations

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

Fields of papers citing papers by M-H. Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M-H. Tan

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Mong, Jamie, Jun Shi, David Chan, et al.. (2017). Single-cell combined mutation and gene expression studies of circulating tumor-associated cells in non-small cell lung cancer. Annals of Oncology. 28. v35–v35.

2.

Shi, Jun, Jamie Mong, Tan Min Chin, et al.. (2017). EGFR mutation detection in plasma cell-free DNA correlates with clinical outcomes in non-small cell lung cancer. Annals of Oncology. 28. v476–v477. 1 indexed citations

3.

Wee, Hwee Lin, Noan‐Minh Chau, M-H. Tan, et al.. (2015). Effect of the CYP3A5 and ABCB1 genotype on exposure, clinical response and manifestation of toxicities from sunitinib in Asian patients. The Pharmacogenomics Journal. 16(1). 47–53. 19 indexed citations

4.

Tan, M-H., Jun Li, H. Eric Xu, Karsten Melcher, & Eu‐Leong Yong. (2014). Androgen receptor: structure, role in prostate cancer and drug discovery. Acta Pharmacologica Sinica. 36(1). 3–23. 650 indexed citations breakdown →

5.

Chan, Madelynn, Joanne Ngeow, Bin Tan, et al.. (2012). Abstract P3-08-09: Clinical and Pathological Characteristics of Breast Cancer in Women with Neurofibromatosis Type 1. Cancer Research. 72(24_Supplement). P3–8. 1 indexed citations

6.

Selvarajan, Sathiyamoorthy, et al.. (2007). Parafibromin expression in breast cancer: a novel marker for prognostication?. Journal of Clinical Pathology. 61(1). 64–67. 32 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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