Michelle Tan

8.5k citations
33 papers · 1.4k indexed · 2 hit papers · h-index 21
Topics
Alzheimer's disease research and treatments (7 papers)Hearing, Cochlea, Tinnitus, Genetics (4 papers)Neuroinflammation and Neurodegeneration Mechanisms (3 papers)

In The Last Decade

Michelle Tan

30 papers receiving 1.4k citations

Hit Papers

Molecular characterization of selectively vulnerable neur...20212026202220242021202250100150200250

Peers

Michelle Tan
Comparison fields: 5 of 110
  • Molecular Biology 593
  • Physiology 335
  • Neurology 312
  • Neurology 175
  • Cellular and Molecular Neuroscience 167
Replace Alain Boom with:
Alain Boom Belgium
Celina García Mexico
Lihua Yang China
Jason G. MacLaurin Canada
Scott A. Detmer United States
Radhika Vaishnav United States
Ernesto Barrón United States
Franca Codazzi Italy
Gongxiong Wu United States
Claudia C.S. Chini United States
Michelle Tan relative to Alain Boom Belgium Alain Boom's profile →
Citations per field
00.5×3.1×
Alain Boom · 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-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
#WorkIndexed citations
1 0
2 0
3 35
4 12
5
Early prediction of preeclampsia in pregnancy with cell-free RNAbreakdown →
137
6
Molecular characterization of selectively vulnerable neurons in Alzheimer’s diseasebreakdown →
271
7 20
8 2
9 17
10 74
11 21
12 18
13 32
14 14
15 46
16 29
17 33
18 125
19 38
20 11

About Michelle Tan

Michelle Tan is a scholar working on Sensory Systems, Biological Psychiatry and Neurology, having authored 33 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) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Neurology (312 citations), Biological Psychiatry (60 citations) and Sensory Systems (81 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, Norma Neff, Rene Sit, Peter T.‐H. Wong, Siew Ying Wong, Wong‐Kein Low, Valerie C. L. Lin and A. David Smith. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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