Swee Jin Tan

1.9k total citations · 1 hit paper
22 papers, 1.5k citations indexed

About

Swee Jin Tan is a scholar working on Biomedical Engineering, Molecular Biology and Oncology. According to data from OpenAlex, Swee Jin Tan has authored 22 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 5 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Swee Jin Tan's work include Microfluidic and Bio-sensing Technologies (5 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers) and Cancer Cells and Metastasis (4 papers). Swee Jin Tan is often cited by papers focused on Microfluidic and Bio-sensing Technologies (5 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers) and Cancer Cells and Metastasis (4 papers). Swee Jin Tan collaborates with scholars based in Singapore, United States and Malaysia. Swee Jin Tan's co-authors include Chwee Teck Lim, Ali Asgar S. Bhagat, Levent Yobaş, Wan‐Teck Lim, Jongyoon Han, Han Wei Hou, Hansen Bow, Choon Nam Ong, Su Bin Lim and Pengfei Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Swee Jin Tan

22 papers receiving 1.4k citations

Hit Papers

Microfluidics for cell separation 2010 2026 2015 2020 2010 100 200 300 400

Peers

Swee Jin Tan
Comparison fields: 5 of 110
  • Biomedical Engineering 973
  • Oncology 409
  • Molecular Biology 291
  • Cancer Research 258
  • Electrical and Electronic Engineering 193
Replace James Che with:
James Che United States
Guofeng Guan Singapore
Kyung‐A Hyun South Korea
Nam Huh South Korea
Minseok S. Kim South Korea
Jaideep S. Dudani United States
Lanlan Zhou United States
Despina Bazou Ireland
Frank Coumans Netherlands
Sonja Schmid Switzerland
James Che United States View profile →
Citations per field, relative to Swee Jin Tan
Swee Jin Tan · 1×
Citations per year, relative to Swee Jin Tan
Swee Jin Tan · 1×

Countries citing papers authored by Swee Jin Tan

Since Specialization
Citations

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

Fields of papers citing papers by Swee Jin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swee Jin Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Swee Jin Tan. A scholar is included among the top collaborators of Swee Jin 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 Swee Jin Tan. Swee Jin 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 6
2 16
3 55
4 13
5 46
6 27
7 11
8 85
9 9
10 30
11 110
12 34
13 10
14 2
15 27
16 12
17 159
18
Microfluidics for cell separation breakdown →
485
19 297
20 2

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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