Michelle Tan

8.8k citations
32 papers · 1.4k · 2 hit papers · h-index 21

Impact in

Papers in

Michelle Tan

31 papers receiving 1.4k citations

Michelle Tan's Hit Papers

Early prediction of preeclampsia in pregnancy with cell-free RNA 2022 · 145 citations
1450+1+3Years since publication50100150200250

Peers

Michelle Tan
Comparison fields: 5 of 107
  • Neurology 270
  • Biological Psychiatry 51
  • Sensory Systems 70
  • Physiology 292
  • Neurology 163
Replace Ning Sun with:
Ning Sun China
Alain Boom Belgium
Lihua Yang China
Weidong Pan China
Jason G. MacLaurin Canada
Gongxiong Wu United States
Kimihiko Hattori Japan
D. Maślińska Poland
Nabil Hajji United Kingdom
Riccardo Filadi Italy
Michelle Tan relative to Ning Sun China Ning Sun's profile →
Citations per field
00.5×2.9×
Ning Sun · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Michelle Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michelle Tan Line = papers co-authored together Michelle Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Molecular characterization of selectively vulnerable neurons in Alzheimer’s disease
Hit paper breakdown →
2021279
2
Early prediction of preeclampsia in pregnancy with cell-free RNA
Hit paper breakdown →
2022145
3 2006127
4 2009103
5 201674
6 200056
7
Progestins inhibit the growth of MDA-MB-231 cells transfected with progesterone receptor complementary DNA.
199951
8
The mechanism of Epstein-Barr virus infection in nasopharyngeal carcinoma cells.
199748
9 200947
10 200846
11 202339
12 200437
13 201335
14 200633
15 202032
16 200829
17 201523
18 201623
19 200922
20 202020

About Michelle Tan

Michelle Tan is a scholar working on Molecular Biology, Physiology, Genetics, Oncology and Sensory Systems, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers), Estrogen and related hormone effects (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), RNA Research and Splicing (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Tryptophan and brain disorders (2 papers) and Andrographolide Research and Applications (2 papers). The work is most often cited by research in Neurology (270 citations), Biological Psychiatry (51 citations), Sensory Systems (70 citations), Physiology (292 citations) and Neurology (163 citations). Michelle Tan has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Mitchell K.P. Lai, Swee Eng Aw, Margaret M. Esiri, Rene Sit, Norma Neff, Peter T.‐H. Wong, Wong‐Kein Low, Siew Ying Wong, A. David Smith and Valerie C. L. Lin. Their work appears in journals such as Journal of Neuroinflammation, Human Genetics, Biological Trace Element Research, Acta Oto-Laryngologica and Brain Pathology.

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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