Michelle T.T. Tan

1.8k total citations
48 papers, 1.5k citations indexed

About

Michelle T.T. Tan is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Michelle T.T. Tan has authored 48 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 17 papers in Materials Chemistry and 13 papers in Molecular Biology. Recurrent topics in Michelle T.T. Tan's work include Advanced biosensing and bioanalysis techniques (13 papers), Advancements in Battery Materials (12 papers) and Supercapacitor Materials and Fabrication (12 papers). Michelle T.T. Tan is often cited by papers focused on Advanced biosensing and bioanalysis techniques (13 papers), Advancements in Battery Materials (12 papers) and Supercapacitor Materials and Fabrication (12 papers). Michelle T.T. Tan collaborates with scholars based in Malaysia, China and United Kingdom. Michelle T.T. Tan's co-authors include Poi Sim Khiew, Wee Siong Chiu, S. Anandan Shanmugam, Ejikeme Raphael Ezeigwe, Jit Kai Chin, Kalaimani Markandan, Hwei‐San Loh, Sze Shin Low, Dong Li and Revanasiddappa Manjunatha and has published in prestigious journals such as Journal of The Electrochemical Society, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Michelle T.T. Tan

46 papers receiving 1.4k citations

Peers

Michelle T.T. Tan
Comparison fields: 5 of 88
  • Electrical and Electronic Engineering 774
  • Materials Chemistry 581
  • Electronic, Optical and Magnetic Materials 521
  • Biomedical Engineering 356
  • Molecular Biology 237
Replace Xiao Liu with:
Xiao Liu China
Xuelian Li China
Liangjun Zhou China
Chiara Novara Italy
Rongfang Zhao China
Xingxing Xu China
Ying Du China
Abdollah Hajalilou Iran
Wei Zhai China
Zhentao Cui China
Xiao Liu China View profile →
Citations per field, relative to Michelle T.T. Tan
Michelle T.T. Tan · 1×
Citations per year, relative to Michelle T.T. Tan
Michelle T.T. Tan · 1×

Countries citing papers authored by Michelle T.T. Tan

Since Specialization
Citations

This map shows the geographic impact of Michelle T.T. 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 T.T. 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 T.T. Tan more than expected).

Fields of papers citing papers by Michelle T.T. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle T.T. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle T.T. Tan. A scholar is included among the top collaborators of Michelle T.T. 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 T.T. Tan. Michelle T.T. 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
# Work Indexed citations
1 2
2 0
3 1
4 4
5 69
6 43
7 49
8 53
9 19
10 11
11 36
12 16
13 13
14 12
15 54
16 4
17 74
18 61
19 7
20 23

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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