Steven Tan

12 papers receiving 568 citations

Hit Papers

Long somatic DNA-repeat expansion drives neurodegeneration in Huntington’s disease 2025 · 45 citations
450Years since publication10203040

Peers

Steven Tan
Comparison fields: 5 of 96
  • Immunology and Allergy 129
  • Cell Biology 253
  • Biophysics 34
  • Biomaterials 76
  • Complementary and alternative medicine 39
Replace Martin Pešl with:
Martin Pešl Czechia
Mona Suryana Singapore
Irene S. Tobias United States
Dominique M. Donato Netherlands
Giorgia Nardone Italy
Andrée Rothermel Germany
Kristin Perkumas United States
Hongsheng Lin China
Vinay V. Abhyankar United States
Laura Alaimo Belgium
Steven Tan relative to Martin Pešl Czechia Martin Pešl's profile →
Citations per field
00.5×2.6×
Martin Pešl · 1×
Citations per year

Countries citing papers authored by Steven Tan

Since Specialization
Citations

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

Fields of papers citing papers by Steven Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Steven 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 Steven Tan Line = papers co-authored together Steven Tan links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2016123
2 201494
3 201578
4 202067
5 201355
6
Long somatic DNA-repeat expansion drives neurodegeneration in Huntington’s disease
Hit paper breakdown →
202545
7 201529
8 200528
9 202227
10 200423
11 20133
12 20062
13 20171

About Steven Tan

Steven Tan is a scholar working on Atomic and Molecular Physics, and Optics, Cell Biology, Complementary and alternative medicine, Immunology and Allergy and Molecular Biology, having authored 13 papers that have together received 575 indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (4 papers), Cellular Mechanics and Interactions (4 papers), Cell Adhesion Molecules Research (3 papers), Acupuncture Treatment Research Studies (3 papers), Gastrointestinal motility and disorders (2 papers), Complementary and Alternative Medicine Studies (2 papers), Periodontal Regeneration and Treatments (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Immunology and Allergy (129 citations), Cell Biology (253 citations), Biophysics (34 citations), Biomaterials (76 citations) and Complementary and alternative medicine (39 citations). Steven Tan has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Alexander R. Dunn, Alice C. Chang, Min Lee, Masatoshi Morimatsu, Armen H. Mekhdjian, Soyon Kim, Benjamin M. Wu, Christopher K. Arakawa, Hyejin Park and Jiabing Fan. Their work appears in journals such as Science Advances, Nature Cell Biology, Nano Letters, Journal of Biomechanics and Nature Communications.

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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