Michelle Tan

8.5k total citations · 2 hit papers
33 papers, 1.4k citations indexed

About

Michelle Tan is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Michelle Tan has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Physiology. Recurrent topics in Michelle Tan's work include Alzheimer's disease research and treatments (7 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Michelle Tan is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Michelle Tan collaborates with scholars based in Singapore, United States and United Kingdom. Michelle Tan's co-authors include Mitchell K.P. Lai, Swee Eng Aw, Margaret M. Esiri, Norma Neff, Rene Sit, Peter T.‐H. Wong, Siew Ying Wong, Wong‐Kein Low, Valerie C. L. Lin and A. David Smith and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Michelle Tan

30 papers receiving 1.4k citations

Hit Papers

Molecular characterization of selectively vulnerable neur... 2021 2026 2022 2024 2021 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Tan Singapore 21 593 335 312 175 167 33 1.4k
Lihua Yang China 18 648 1.1× 163 0.5× 372 1.2× 83 0.5× 207 1.2× 62 1.5k
Ju Gao China 23 1.1k 1.9× 471 1.4× 296 0.9× 383 2.2× 195 1.2× 71 2.1k
Celina García Mexico 16 517 0.9× 135 0.4× 363 1.2× 76 0.4× 99 0.6× 30 1.4k
Alain Boom Belgium 21 625 1.1× 398 1.2× 168 0.5× 157 0.9× 222 1.3× 36 1.5k
Ajaib S. Paintlia United States 21 510 0.9× 195 0.6× 262 0.8× 80 0.5× 117 0.7× 29 1.3k
Guanghong Liao United States 19 887 1.5× 317 0.9× 183 0.6× 101 0.6× 320 1.9× 29 1.7k
Simon Glerup Denmark 21 570 1.0× 321 1.0× 79 0.3× 74 0.4× 394 2.4× 55 1.6k
Victoria Makrides Switzerland 16 623 1.1× 212 0.6× 220 0.7× 94 0.5× 296 1.8× 19 1.5k
Andrea Thiele Germany 23 755 1.3× 378 1.1× 330 1.1× 116 0.7× 252 1.5× 44 1.7k
Franca Codazzi Italy 25 1.1k 1.8× 257 0.8× 228 0.7× 162 0.9× 432 2.6× 54 2.1k

Countries citing papers authored by Michelle Tan

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Tan

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

All Works

20 of 20 papers shown
1.
Tiong, Ing Soo, Sally M. Hunter, Nicole den Elzen, et al.. (2025). Genomic variation in DDX41 identified through clinical sequencing. British Journal of Haematology. 207(4). 1653–1658.
3.
Wagner, Viktoria, Fabian Kern, Oliver Hãhn, et al.. (2023). Characterizing expression changes in noncoding RNAs during aging and heterochronic parabiosis across mouse tissues. Nature Biotechnology. 42(1). 109–118. 35 indexed citations
4.
Fan, Xiubo, Chin Teck Ng, Jia Tan, et al.. (2022). Dampened Inflammation and Improved Survival After CXCL5 Administration in Murine Lupus via Myeloid and Neutrophil Pathways. Arthritis & Rheumatology. 75(4). 553–566. 12 indexed citations
5.
Moufarrej, Mira N., Sevahn K. Vorperian, Ronald J. Wong, et al.. (2022). Early prediction of preeclampsia in pregnancy with cell-free RNA. Nature. 602(7898). 689–694. 137 indexed citations breakdown →
6.
Leng, Kun, Emmy Li, Rana Eser, et al.. (2021). Molecular characterization of selectively vulnerable neurons in Alzheimer’s disease. Nature Neuroscience. 24(2). 276–287. 271 indexed citations breakdown →
7.
He, Mu, Bing Wu, Wenlei Ye, et al.. (2020). Chloride channels regulate differentiation and barrier functions of the mammalian airway. eLife. 9. 20 indexed citations
8.
Hao, Samantha, Saharai Caldera, Paula Hayakawa Serpa, et al.. (2020). Draft Genome Sequence of an Extensively Drug-Resistant Salmonella enterica Serovar Typhi Strain from a Returned Traveler from Pakistan. Microbiology Resource Announcements. 9(31). 2 indexed citations
9.
Wong, Siew Ying, et al.. (2017). Selective induction of alternatively spliced FynT isoform by TNF facilitates persistent inflammatory responses in astrocytes. Scientific Reports. 7(1). 43651–43651. 17 indexed citations
10.
Wong, Siew Ying, Michelle Tan, Peter T.‐H. Wong, Deron R. Herr, & Mitchell K.P. Lai. (2016). Andrographolide induces Nrf2 and heme oxygenase 1 in astrocytes by activating p38 MAPK and ERK. Journal of Neuroinflammation. 13(1). 251–251. 74 indexed citations
11.
Francis, Paul T., et al.. (2015). An isoform‐specific role of FynT tyrosine kinase in Alzheimer's disease. Journal of Neurochemistry. 136(3). 637–650. 21 indexed citations
12.
Lai, Mitchell K.P., Margaret M. Esiri, & Michelle Tan. (2014). Genome-wide profiling of alternative splicing in Alzheimer's disease. Genomics Data. 2. 290–292. 18 indexed citations
13.
Tan, Michelle, Jasinda H. Lee, Paul T. Francis, et al.. (2013). Decreased rabphilin 3A immunoreactivity in Alzheimer’s disease is associated with Aβ burden. Neurochemistry International. 64. 29–36. 32 indexed citations
14.
Zhao, Yi, Jasinda H. Lee, Michelle Tan, et al.. (2011). Upregulation of AMPA receptor GluR2 (GluA2) subunits in subcortical ischemic vascular dementia is repressed in the presence of Alzheimer's disease. Neurochemistry International. 58(7). 820–825. 14 indexed citations
15.
Lai, Mitchell K.P., Michelle Tan, Sara Kirvell, et al.. (2008). Selective loss of P2Y2 nucleotide receptor immunoreactivity is associated with Alzheimer’s disease neuropathology. Journal of Neural Transmission. 115(8). 1165–1172. 46 indexed citations
16.
Low, Wong‐Kein, Li Sun, Michelle Tan, Alvin Wen Choong Chua, & De Yun Wang. (2008). L-N-Acetylcysteine protects against radiation-induced apoptosis in a cochlear cell line. Acta Oto-Laryngologica. 128(4). 440–445. 29 indexed citations
17.
Low, Wong‐Kein, et al.. (2006). Dose-dependant radiation-induced apoptosis in a cochlear cell-line. APOPTOSIS. 11(12). 2127–2136. 33 indexed citations
18.
Tan, Eng‐King, Yi Zhao, Lisa Skipper, et al.. (2006). The LRRK2 Gly2385Arg variant is associated with Parkinson’s disease: genetic and functional evidence. Human Genetics. 120(6). 857–863. 125 indexed citations
19.
Tan, Michelle, London Lucien Ooi, Swee Eng Aw, & Kam M. Hui. (2004). Cloning and Identification of Hepatocellular Carcinoma Down-regulated Mitochondrial Carrier Protein, a Novel Liver-specific Uncoupling Protein. Journal of Biological Chemistry. 279(43). 45235–45244. 38 indexed citations
20.
Cheng, Yao, et al.. (1990). Study of correlation of se content in human hair and internal organs by INAA. Biological Trace Element Research. 26-27(1). 737–741. 11 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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