Jay K. Tu

508 citations
12 papers · 371 · h-index 8

Impact in

    • Microfluidic and Capillary Electrophoresis Applications
    • Nanopore and Nanochannel Transport Studies
    • Microfluidic and Bio-sensing Technologies
    • Nanofabrication and Lithography Techniques
    • 3D Printing in Biomedical Research

Papers in

Jay K. Tu

11 papers receiving 356 citations

Peers

Jay K. Tu
Comparison fields: 5 of 63
  • Biomedical Engineering 253
  • Biomaterials 37
  • Pharmaceutical Science 15
  • Cellular and Molecular Neuroscience 28
  • Electrical and Electronic Engineering 86
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Jay K. Tu relative to Anthony A. Boiarski United States Anthony A. Boiarski's profile →
Citations per field
00.5×1.5×2.3×
Anthony A. Boiarski · 1×
Citations per year

Countries citing papers authored by Jay K. Tu

Since Specialization
Citations

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

Fields of papers citing papers by Jay K. Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay K. Tu. 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 Jay K. Tu. The network helps show where Jay K. Tu may publish in the future.

Co-authors

The 21 scholars most cited alongside Jay K. Tu, 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 Jay K. Tu Line = papers co-authored together Jay K. Tu links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1998147
2 1999138
3 199920
4 199717
5 199315
6 19979
7 19988
8 20128
9 19986
10 19902
11
Vertical-Cavity Surface-Emitting Lasers Integrated onto Si by Fluidic Self-Assembly
19951
12 19900

About Jay K. Tu

Jay K. Tu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Surgery and Biomaterials, having authored 12 papers that have together received 371 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (2 papers), Semiconductor Quantum Structures and Devices (2 papers), Membrane Separation Technologies (2 papers), Nanofabrication and Lithography Techniques (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Semiconductor materials and devices (2 papers) and Microfluidic and Capillary Electrophoresis Applications (2 papers). The work is most often cited by research in Biomedical Engineering (253 citations), Biomaterials (37 citations), Pharmaceutical Science (15 citations), Cellular and Molecular Neuroscience (28 citations) and Electrical and Electronic Engineering (86 citations). Jay K. Tu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Mauro Ferrari, Tejal A. Desai, Wen Chu, Gillian M. Beattie, Derek J. Hansford, Guido Rasi, Lawrence Kulinsky, Yuchun Wang, Amir H. Nashat and Miqin Zhang. Their work appears in journals such as Biomedical Microdevices, International Journal of Applied Ceramic Technology, Biotechnology and Bioengineering, Journal of Electronic Materials and MRS Proceedings.

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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