Jason S. Kuo

1.7k total citations
36 papers, 1.3k citations indexed

About

Jason S. Kuo is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Condensed Matter Physics. According to data from OpenAlex, Jason S. Kuo has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 17 papers in Electrical and Electronic Engineering and 6 papers in Condensed Matter Physics. Recurrent topics in Jason S. Kuo's work include Microfluidic and Bio-sensing Technologies (13 papers), Microfluidic and Capillary Electrophoresis Applications (13 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (9 papers). Jason S. Kuo is often cited by papers focused on Microfluidic and Bio-sensing Technologies (13 papers), Microfluidic and Capillary Electrophoresis Applications (13 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (9 papers). Jason S. Kuo collaborates with scholars based in United States, Taiwan and Australia. Jason S. Kuo's co-authors include Daniel T. Chiu, Perry G. Schiro, Christopher L. Kuyper, Dae‐Sik Lim, Robert M. Lorenz, Sarah Mutch, Jane Shelby, Mingyan He, Gina S. Fiorini and Sandra Bajjalieh and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Jason S. Kuo

36 papers receiving 1.3k citations

Peers

Jason S. Kuo
Peter B. Allen United States
Danny van Noort South Korea
Jeyarama S. Ananta United States
Samir M. Iqbal United States
Hyundoo Hwang South Korea
Sharda Yadav Australia
Chung Yu Chan United States
Anthony J. Kim United States
Floor Wolbers Netherlands
Peter B. Allen United States
Jason S. Kuo
Citations per year, relative to Jason S. Kuo Jason S. Kuo (= 1×) peers Peter B. Allen

Countries citing papers authored by Jason S. Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Jason S. Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason S. Kuo. 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 Jason S. Kuo. The network helps show where Jason S. Kuo may publish in the future.

Co-authorship network of co-authors of Jason S. Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Jason S. Kuo. A scholar is included among the top collaborators of Jason S. Kuo 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 Jason S. Kuo. Jason S. Kuo 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
1.
Shih, Chih‐yu & Jason S. Kuo. (2024). A Relational Analysis of Exceptionalism: Connecting Liberalism with Confucian Multilateralism and Emotion. The Chinese Journal of International Politics. 17(3). 242–261. 1 indexed citations
2.
Chiang, Chun‐Fang, Jason S. Kuo, & Jin‐Tan Liu. (2022). Cueing quality: Unpacking country-of-origin effects on intentions to vaccinate against COVID-19 in Taiwan. Social Science & Medicine. 314. 115403–115403. 5 indexed citations
3.
Schiro, Perry G., Mengxia Zhao, Jason S. Kuo, et al.. (2012). Sensitive and High‐Throughput Isolation of Rare Cells from Peripheral Blood with Ensemble‐Decision Aliquot Ranking. Angewandte Chemie International Edition. 51(19). 4618–4622. 84 indexed citations
4.
Mutch, Sarah, Patricia Kensel-Hammes, Bryant S. Fujimoto, et al.. (2011). Protein Quantification at the Single Vesicle Level Reveals That a Subset of Synaptic Vesicle Proteins Are Trafficked with High Precision. Journal of Neuroscience. 31(4). 1461–1470. 147 indexed citations
5.
Kuo, Jason S. & Daniel T. Chiu. (2011). Controlling Mass Transport in Microfluidic Devices. Annual Review of Analytical Chemistry. 4(1). 275–296. 53 indexed citations
6.
Kuo, Jason S. & Daniel T. Chiu. (2011). Disposable microfluidic substrates: Transitioning from the research laboratory into the clinic. Lab on a Chip. 11(16). 2656–2656. 63 indexed citations
7.
Kuo, Jason S., Yongxi Zhao, Perry G. Schiro, et al.. (2010). Deformability considerations in filtration of biological cells. Lab on a Chip. 10(7). 837–837. 92 indexed citations
8.
Kuo, Jason S., Robert M. Lorenz, Perry G. Schiro, et al.. (2009). A new USP Class VI-compliant substrate for manufacturing disposable microfluidic devices. Lab on a Chip. 9(7). 870–870. 35 indexed citations
9.
Kuo, Jason S., et al.. (2009). Microfabricating high-aspect-ratio structures in polyurethane-methacrylate (PUMA) disposable microfluidic devices. Lab on a Chip. 9(13). 1951–1951. 25 indexed citations
10.
Zhao, Yongxi, et al.. (2008). Method for the Accurate Preparation of Cell-Spiking Standards. Analytical Chemistry. 81(3). 1285–1290. 8 indexed citations
11.
Chiu, Daniel T., Emiliana Tjitra, Jason S. Kuo, et al.. (2008). High Deformability ofPlasmodium vivax–Infected Red Blood Cells under Microfluidic Conditions. The Journal of Infectious Diseases. 199(3). 445–450. 93 indexed citations
12.
Mutch, Sarah, Bryant S. Fujimoto, Christopher L. Kuyper, et al.. (2007). Deconvolving Single-Molecule Intensity Distributions for Quantitative Microscopy Measurements. Biophysical Journal. 92(8). 2926–2943. 70 indexed citations
13.
Jeffries, Gavin D. M., Jason S. Kuo, & Daniel T. Chiu. (2007). Dynamic Modulation of Chemical Concentration in an Aqueous Droplet. Angewandte Chemie International Edition. 46(8). 1326–1328. 37 indexed citations
14.
Jeffries, Gavin D. M., Jason S. Kuo, & Daniel T. Chiu. (2007). Dynamic Modulation of Chemical Concentration in an Aqueous Droplet. Angewandte Chemie. 119(8). 1348–1350. 2 indexed citations
15.
Jeffries, Gavin D. M., Jason S. Kuo, & Daniel T. Chiu. (2007). Controlled Shrinkage and Re-expansion of a Single Aqueous Droplet inside an Optical Vortex Trap. The Journal of Physical Chemistry B. 111(11). 2806–2812. 15 indexed citations
16.
Kuo, Jason S., Christopher L. Kuyper, Peter B. Allen, Gina S. Fiorini, & Daniel T. Chiu. (2004). High‐power blue/UV light‐emitting diodes as excitation sources for sensitive detection. Electrophoresis. 25(21-22). 3796–3804. 37 indexed citations
17.
Shelby, Jane, Dae‐Sik Lim, Jason S. Kuo, & Daniel T. Chiu. (2003). High radial acceleration in microvortices. Nature. 425(6953). 38–38. 62 indexed citations
18.
Ide, Toshihide, Mitsuaki Shimizu, Jason S. Kuo, et al.. (2003). Surface morphology of GaN layer grown by plasma‐assisted molecular beam epitaxy on MOCVD‐grown GaN template. Physica status solidi. C, Conferences and critical reviews/Physica status solidi. C, Current topics in solid state physics. 2549–2552. 3 indexed citations
19.
Allen, Peter B., Christopher L. Kuyper, Robert M. Lorenz, et al.. (2003). Selective Electroless and Electrolytic Deposition of Metal for Applications in Microfluidics:  Fabrication of a Microthermocouple. Analytical Chemistry. 75(7). 1578–1583. 24 indexed citations
20.
Kuo, Jason S.. (1999). Surface investigations of the atomic layer growth mechanism in aluminum nitride thin film deposition using dimethylethylamine alane and ammonia. PhDT. 1 indexed citations

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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