Christine P. Tan

636 citations
13 papers · 518 indexed · h-index 10

Christine P. Tan

13 papers receiving 502 citations

Peers

Christine P. Tan
Comparison fields: 5 of 67
  • Biomedical Engineering 304
  • Surfaces, Coatings and Films 36
  • Cellular and Molecular Neuroscience 74
  • Bioengineering 20
  • Atomic and Molecular Physics, and Optics 105
Replace Jean-Christophe Galas with:
Jean-Christophe Galas France
Michael Gabi Switzerland
Stuart G. Higgins United Kingdom
R Davis United States
Vincent Agache France
Pierfrancesco Zilio Italy
Livie Dorwling‐Carter Switzerland
Reid N. Orth United States
Jeonggi Seo United States
Chun L. Yeung United Kingdom
Christine P. Tan relative to Jean-Christophe Galas France Jean-Christophe Galas's profile →
Citations per field
00.5×1.5×2.3×
Jean-Christophe Galas · 1×
Citations per year

Countries citing papers authored by Christine P. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Christine P. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20222
2 20131
3 201251
4 2010126
5 201089
6 201023
7 201049
8 201013
9 200949
10 200922
11 200857
12
Surface modification and patterning of biomolecules and cells, using a polymer lift-off template
20081
13 200635

About Christine P. Tan

Christine P. Tan is a scholar working on Applied Psychology, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 13 papers that have together received 518 indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (4 papers), Nanofabrication and Lithography Techniques (4 papers), Advanced Biosensing Techniques and Applications (3 papers), Mechanical and Optical Resonators (3 papers), 3D Printing in Biomedical Research (3 papers), Advanced MEMS and NEMS Technologies (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Biomedical Engineering (304 citations), Surfaces, Coatings and Films (36 citations) and Cellular and Molecular Neuroscience (74 citations). Christine P. Tan has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Harold G. Craighead, Benjamin R. Cipriany, Philip S. Waggoner, David Lin, Patrick J. Murphy, Paul D. Soloway, Stephen L. Levy, Ruqian Zhao, Keith L. Aubin and Madhukar Varshney. Their work appears in journals such as Analytical Chemistry, Journal of Applied Physics, Sensors and Actuators B Chemical, Integrative Biology and Materials.

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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