Jason E. Kreutz

1.7k total citations
20 papers, 1.5k citations indexed

About

Jason E. Kreutz is a scholar working on Biomedical Engineering, Molecular Biology and Ecology. According to data from OpenAlex, Jason E. Kreutz has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 11 papers in Molecular Biology and 3 papers in Ecology. Recurrent topics in Jason E. Kreutz's work include Biosensors and Analytical Detection (10 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (9 papers). Jason E. Kreutz is often cited by papers focused on Biosensors and Analytical Detection (10 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (9 papers). Jason E. Kreutz collaborates with scholars based in United States, United Kingdom and China. Jason E. Kreutz's co-authors include Rustem F. Ismagilov, Wenbin Du, Feng Shen, Daniel T. Chiu, Elena K. Davydova, Thomas Schneider, Alice Fok, Bing Sun, Olaf Piepenburg and Loren Joseph and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Analytical Chemistry.

In The Last Decade

Jason E. Kreutz

18 papers receiving 1.4k citations

Peers

Jason E. Kreutz

EEE

ECOLO

F. Schwemmer Germany

Jeho Park United States

Christopher Ko South Korea

Yurong Yan China

Lakmal Jayasinghe United Kingdom

Juxin Yin China

Mattias Strömberg Sweden

Raja Chinnappan Saudi Arabia

Abraham J. Qavi United States

F. Schwemmer Germany

Jason E. Kreutz

931 ×0.8

456 ×0.8

340 ×1.0

EEE

76 ×0.8

47 ×0.6

ECOLO

Citations per year, relative to Jason E. Kreutz Jason E. Kreutz (= 1×) peers F. Schwemmer

Countries citing papers authored by Jason E. Kreutz

Since Specialization

Citations

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

Fields of papers citing papers by Jason E. Kreutz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason E. Kreutz

This figure shows the co-authorship network connecting the top 25 collaborators of Jason E. Kreutz. A scholar is included among the top collaborators of Jason E. Kreutz 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 E. Kreutz. Jason E. Kreutz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kreutz, Jason E., Tijana Mitić, & Andrea Caporali. (2025). Exploring microRNAs, One Cell at a Time. Non-Coding RNA. 11(6). 73–73.

Qin, Yuling, et al.. (2022). A reinforced PDMS mold for hot embossing of cyclic olefin polymer in the fabrication of microfluidic chips. Lab on a Chip. 22(23). 4729–4734. 13 indexed citations

Wang, Jiasi, Jason E. Kreutz, & Daniel T. Chiu. (2021). Digital Quantification of Human Viral RNA and DNA Using a Self-Digitization Chip. Methods in molecular biology. 2393. 279–295.

Wang, Jiasi, Jason E. Kreutz, Qiongzheng Hu, et al.. (2021). Detection of 14 High-Risk Human Papillomaviruses Using Digital LAMP Assays on a Self-Digitization Chip. Analytical Chemistry. 93(6). 3266–3272. 26 indexed citations

Fujimoto, Bryant S., et al.. (2019). Statistical Analysis of Nonuniform Volume Distributions for Droplet-Based Digital PCR Assays. Journal of the American Chemical Society. 141(4). 1515–1525. 44 indexed citations

Kreutz, Jason E., et al.. (2019). Self-digitization chip for quantitative detection of human papillomavirus gene using digital LAMP. Lab on a Chip. 19(6). 1035–1040. 44 indexed citations

Kreutz, Jason E., Thomas Schneider, Bryant S. Fujimoto, et al.. (2018). Self-digitization chip for single-cell genotyping of cancer-related mutations. PLoS ONE. 13(5). e0196801–e0196801. 1 indexed citations

Wang, Jiasi, Jason E. Kreutz, Yuling Qin, et al.. (2018). SD-chip enabled quantitative detection of HIV RNA using digital nucleic acid sequence-based amplification (dNASBA). Lab on a Chip. 18(22). 3501–3506. 42 indexed citations

Paguirigan, Amy L., et al.. (2014). Microfluidics for single-cell genetic analysis. Lab on a Chip. 14(17). 3135–3142. 51 indexed citations

10.

Gansen, Alexander, et al.. (2014). Self-Digitization Microfluidic Chip for Absolute Quantification of mRNA in Single Cells. Analytical Chemistry. 86(24). 12308–12314. 57 indexed citations

11.

Sun, Bing, Feng Shen, Stephanie E. McCalla, et al.. (2013). Mechanistic Evaluation of the Pros and Cons of Digital RT-LAMP for HIV-1 Viral Load Quantification on a Microfluidic Device and Improved Efficiency via a Two-Step Digital Protocol. Analytical Chemistry. 85(3). 1540–1546. 87 indexed citations

12.

Schneider, Thomas, Jason E. Kreutz, & Daniel T. Chiu. (2013). The Potential Impact of Droplet Microfluidics in Biology. Analytical Chemistry. 85(7). 3476–3482. 135 indexed citations

13.

Kreutz, Jason E., et al.. (2011). Identification of a New Gene Required for the Biosynthesis of Rhodoquinone in Rhodospirillum rubrum. Journal of Bacteriology. 194(5). 965–971. 40 indexed citations

14.

Shen, Feng, Elena K. Davydova, Wenbin Du, et al.. (2011). Digital Isothermal Quantification of Nucleic Acids via Simultaneous Chemical Initiation of Recombinase Polymerase Amplification Reactions on SlipChip. Analytical Chemistry. 83(9). 3533–3540. 202 indexed citations

15.

Kreutz, Jason E., Todd Munson, Toan Huynh, et al.. (2011). Theoretical Design and Analysis of Multivolume Digital Assays with Wide Dynamic Range Validated Experimentally with Microfluidic Digital PCR. Analytical Chemistry. 83(21). 8158–8168. 126 indexed citations

16.

Shen, Feng, Bing Sun, Jason E. Kreutz, et al.. (2011). Multiplexed Quantification of Nucleic Acids with Large Dynamic Range Using Multivolume Digital RT-PCR on a Rotational SlipChip Tested with HIV and Hepatitis C Viral Load. Journal of the American Chemical Society. 133(44). 17705–17712. 204 indexed citations

17.

Shen, Feng, et al.. (2011). QUANTIFICATION OF HIV AND HCV VIRAL LOAD WITH LARGE DYNAMIC RANGE USING MULTIVOLUME DIGITAL REVERSE TRANSCRIPTION PCR ON A ROTATIONAL SLIPCHIP. 1 indexed citations

18.

Shen, Feng, Wenbin Du, Jason E. Kreutz, Alice Fok, & Rustem F. Ismagilov. (2010). Digital PCR on a SlipChip. Lab on a Chip. 10(20). 2666–2666. 247 indexed citations

19.

Kreutz, Jason E., et al.. (2010). Evolution of Catalysts Directed by Genetic Algorithms in a Plug-Based Microfluidic Device Tested with Oxidation of Methane by Oxygen. Journal of the American Chemical Society. 132(9). 3128–3132. 102 indexed citations

20.

Kreutz, Jason E., Liang Li, L. Spencer Roach, Takuji Hatakeyama, & Rustem F. Ismagilov. (2009). Laterally Mobile, Functionalized Self-Assembled Monolayers at the Fluorous−Aqueous Interface in a Plug-Based Microfluidic System: Characterization and Testing with Membrane Protein Crystallization. Journal of the American Chemical Society. 131(17). 6042–6043. 46 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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