Andy Hee‐Meng Tan

1.7k total citations
29 papers, 1.2k citations indexed

About

Andy Hee‐Meng Tan is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Andy Hee‐Meng Tan has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Immunology and 7 papers in Oncology. Recurrent topics in Andy Hee‐Meng Tan's work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers) and CAR-T cell therapy research (6 papers). Andy Hee‐Meng Tan is often cited by papers focused on Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers) and CAR-T cell therapy research (6 papers). Andy Hee‐Meng Tan collaborates with scholars based in Singapore, South Korea and Australia. Andy Hee‐Meng Tan's co-authors include Kong‐Peng Lam, Christopher C. Goodnow, Arleen Sanny, S.M.T. Chan, Edward M. Bertram, Anselm Enders, Vicky Cho, Yan Mei, T. Daniel Andrews and Di Yu and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Andy Hee‐Meng Tan

28 papers receiving 1.2k citations

Peers

Andy Hee‐Meng Tan

IMMUN

ONCOL

GENET

Diane Bauer United States

Christophe Duperray France

Jason L. Petersen United States

Masahide Seki Japan

Julie Metcalf Canada

Veronika Butin‐Israeli United States

Linhong Li United States

Shengxi Guan United States

Shuwen Wang China

Diane Bauer United States

Andy Hee‐Meng Tan

371 ×0.6

327 ×0.8

IMMUN

110 ×0.7

187 ×1.2

ONCOL

98 ×1.0

GENET

Citations per year, relative to Andy Hee‐Meng Tan Andy Hee‐Meng Tan (= 1×) peers Diane Bauer

Countries citing papers authored by Andy Hee‐Meng Tan

Since Specialization

Citations

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

Fields of papers citing papers by Andy Hee‐Meng Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andy Hee‐Meng 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 Andy Hee‐Meng Tan. The network helps show where Andy Hee‐Meng Tan may publish in the future.

Co-authorship network of co-authors of Andy Hee‐Meng Tan

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

All Works

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20 of 20 papers shown

Wang, Chelsia Qiuxia, Lei Yang, Shengli Xu, et al.. (2025). Nucleofection-based screening of chimeric antigen receptor candidates in human natural killer cells. Frontiers in Immunology. 16. 1557766–1557766.

Sanny, Arleen, et al.. (2024). Technical, commercial, and regulatory challenges of cellular agriculture for seafood production. Trends in Food Science & Technology. 144. 104341–104341. 6 indexed citations

Wang, Chelsia Qiuxia, et al.. (2024). Gamma/delta T cells as cellular vehicles for anti-tumor immunity. Frontiers in Immunology. 14. 1282758–1282758. 18 indexed citations

Lakshmanan, Meiyappan, Sean Chia, Kuin Tian Pang, et al.. (2024). Antibody glycan quality predicted from CHO cell culture media markers and machine learning. Computational and Structural Biotechnology Journal. 23. 2497–2506. 2 indexed citations

Tan, Andy Hee‐Meng, et al.. (2023). Lrig1-expressing epidermal progenitors require SCD1 to maintain the dermal papilla niche. Scientific Reports. 13(1). 4027–4027. 1 indexed citations

Chen, Zhenzhong, Arleen Sanny, Danny van Noort, et al.. (2022). 3D hanging spheroid plate for high-throughput CAR T cell cytotoxicity assay. Journal of Nanobiotechnology. 20(1). 30–30. 33 indexed citations

Lee, Alison, Yee Jiun Kok, Meiyappan Lakshmanan, et al.. (2021). Multi‐omics profiling of a CHO cell culture system unravels the effect of culture pH on cell growth, antibody titer, and product quality. Biotechnology and Bioengineering. 118(11). 4305–4316. 25 indexed citations

Lam, Alan Tin‐Lun, Alison Lee, Premkumar Jayaraman, et al.. (2021). Multiomics analyses of cytokines, genes, miRNA, and regulatory networks in human mesenchymal stem cells expanded in stirred microcarrier-spinner cultures. Stem Cell Research. 53. 102272–102272. 12 indexed citations

Loh, Jia Tong, Koon-Guan Lee, Alison Lee, et al.. (2021). DOK3 maintains intestinal homeostasis by suppressing JAK2/STAT3 signaling and S100a8/9 production in neutrophils. Cell Death and Disease. 12(11). 1054–1054. 20 indexed citations

10.

Tan, Andy Hee‐Meng, Gloria Hoi Wan Tso, Biyan Zhang, et al.. (2020). TACI Constrains TH17 Pathogenicity and Protects against Gut Inflammation. iScience. 23(11). 101707–101707. 3 indexed citations

11.

Lam, Alan Tin‐Lun, Alison Lee, Hsueh Lee Lim, et al.. (2020). A Scalable Suspension Platform for Generating High-Density Cultures of Universal Red Blood Cells from Human Induced Pluripotent Stem Cells. Stem Cell Reports. 16(1). 182–197. 40 indexed citations

12.

Lakshmanan, Meiyappan, Yee Jiun Kok, Alison Lee, et al.. (2019). Multi‐omics profiling of CHO parental hosts reveals cell line‐specific variations in bioprocessing traits. Biotechnology and Bioengineering. 116(9). 2117–2129. 42 indexed citations

13.

Goh, Justin B., Harini Srinivasan, Kaiwen Ivy Liu, et al.. (2019). A human expression system based on HEK293 for the stable production of recombinant erythropoietin. Scientific Reports. 9(1). 16768–16768. 37 indexed citations

14.

Xu, Shengli, Jianxin Huo, Yuhan Huang, et al.. (2019). von Hippel-Lindau Protein Maintains Metabolic Balance to Regulate the Survival of Naive B Lymphocytes. iScience. 17. 379–392. 17 indexed citations

15.

Tan, Andy Hee‐Meng, Arleen Sanny, Ying Swan Ho, et al.. (2017). Excessive interferon-α signaling in autoimmunity alters glycosphingolipid processing in B cells. Journal of Autoimmunity. 89. 53–62. 3 indexed citations

16.

Tan, Andy Hee‐Meng & Kong‐Peng Lam. (2010). Pharmacologic Inhibition of MEK–ERK Signaling Enhances Th17 Differentiation. The Journal of Immunology. 184(4). 1849–1857. 46 indexed citations

17.

Athanasopoulos, Vicki, Andrew Barker, Di Yu, et al.. (2010). The ROQUIN family of proteins localizes to stress granules via the ROQ domain and binds target mRNAs. FEBS Journal. 277(9). 2109–2127. 70 indexed citations

18.

Wong, Siew Cheng, Andy Hee‐Meng Tan, & Kong‐Peng Lam. (2009). Functional hierarchy and relative contribution of the CD28/B7 and ICOS/B7-H2 costimulatory pathways to T cell-mediated delayed-type hypersensitivity. Cellular Immunology. 256(1-2). 64–71. 10 indexed citations

19.

Yu, Di, Andy Hee‐Meng Tan, Xin Hu, et al.. (2007). Roquin represses autoimmunity by limiting inducible T-cell co-stimulator messenger RNA. Nature. 450(7167). 299–303. 336 indexed citations

20.

Tan, Andy Hee‐Meng, et al.. (2007). T Helper Cell-specific Regulation of Inducible Costimulator Expression via Distinct Mechanisms Mediated by T-bet and GATA-3. Journal of Biological Chemistry. 283(1). 128–136. 37 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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