David Erickson

5.6k total citations · 2 hit papers
63 papers, 4.0k citations indexed

About

David Erickson is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, David Erickson has authored 63 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Biomedical Engineering, 25 papers in Electrical and Electronic Engineering and 18 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in David Erickson's work include Microfluidic and Bio-sensing Technologies (22 papers), Electrowetting and Microfluidic Technologies (13 papers) and Microfluidic and Capillary Electrophoresis Applications (13 papers). David Erickson is often cited by papers focused on Microfluidic and Bio-sensing Technologies (22 papers), Electrowetting and Microfluidic Technologies (13 papers) and Microfluidic and Capillary Electrophoresis Applications (13 papers). David Erickson collaborates with scholars based in United States, Canada and Switzerland. David Erickson's co-authors include Dongqing Li, Sudeep Mandal, Vlad Oncescu, Liqing Ren, Allen Yang, Dakota O’Dell, David Sinton, Xavier Serey, Aram J. Chung and Matthew Mancuso and has published in prestigious journals such as Nano Letters, Applied Physics Letters and PLoS ONE.

In The Last Decade

David Erickson

62 papers receiving 3.9k citations

Hit Papers

Zeta-potential measuremen... 2003 2026 2010 2018 2003 2003 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Erickson 2.7k 1.4k 854 685 251 63 4.0k
Michael Gaitan 3.4k 1.2× 2.8k 2.0× 540 0.6× 718 1.0× 538 2.1× 117 5.7k
Jörg P. Kutter 4.9k 1.8× 2.1k 1.5× 341 0.4× 814 1.2× 359 1.4× 155 6.3k
M.W.J. Prins 2.8k 1.0× 1.7k 1.2× 908 1.1× 985 1.4× 928 3.7× 153 5.1k
Qiao Lin 2.7k 1.0× 1.4k 1.0× 353 0.4× 1.4k 2.0× 758 3.0× 203 4.3k
Don L. DeVoe 4.2k 1.5× 2.1k 1.5× 601 0.7× 1.3k 1.8× 556 2.2× 177 6.4k
Xuexin Duan 3.3k 1.2× 1.9k 1.4× 489 0.6× 663 1.0× 703 2.8× 214 4.4k
Thomas P. Burg 1.2k 0.4× 1.1k 0.8× 1.2k 1.3× 344 0.5× 458 1.8× 56 2.7k
Winnie Edith Svendsen 1.4k 0.5× 1.1k 0.8× 887 1.0× 769 1.1× 370 1.5× 140 3.2k
Amit Gupta 1.4k 0.5× 2.0k 1.4× 800 0.9× 175 0.3× 366 1.5× 127 3.7k
Wan Y. Shih 1.6k 0.6× 1.3k 0.9× 888 1.0× 467 0.7× 1.7k 6.6× 127 4.4k

Countries citing papers authored by David Erickson

Since Specialization
Citations

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

Fields of papers citing papers by David Erickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Erickson

This figure shows the co-authorship network connecting the top 25 collaborators of David Erickson. A scholar is included among the top collaborators of David Erickson 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 David Erickson. David Erickson 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.
Hohenstein, Jess, Dakota O’Dell, Elizabeth L. Murnane, et al.. (2017). Enhancing the Usability of an Optical Reader System to Support Point-of-Care Rapid Diagnostic Testing: An Iterative Design Approach. JMIR Human Factors. 4(4). e29–e29. 8 indexed citations
3.
O’Dell, Dakota, et al.. (2016). Dynamics of an optically confined nanoparticle diffusing normal to a surface. Physical review. E. 93(6). 62139–62139. 2 indexed citations
4.
Gümüş, Abdurrahman, et al.. (2015). Integrated hollow fiber membranes for gas delivery into optical waveguide based photobioreactors. Bioresource Technology. 192. 845–849. 12 indexed citations
5.
Gümüş, Abdurrahman, Seoho Lee, Richard M. Gabrielson, et al.. (2015). Lab-on-a-Bird: Biophysical Monitoring of Flying Birds. PLoS ONE. 10(4). e0123947–e0123947. 12 indexed citations
6.
Jain, Aadhar, et al.. (2014). Stacked optical waveguide photobioreactor for high density algal cultures. Bioresource Technology. 171. 495–499. 32 indexed citations
7.
O’Dell, Dakota, Xavier Serey, Pilgyu Kang, & David Erickson. (2014). Localized Opto-Mechanical Control of Protein Adsorption onto Carbon Nanotubes. Scientific Reports. 4(1). 6707–6707. 2 indexed citations
8.
Gabrielson, Richard M., et al.. (2013). Real-time in vivo uric acid biosensor system for biophysical monitoring of birds. The Analyst. 139(4). 742–748. 12 indexed citations
9.
Oncescu, Vlad & David Erickson. (2013). High volumetric power density, non-enzymatic, glucose fuel cells. Scientific Reports. 3(1). 1226–1226. 66 indexed citations
10.
Oncescu, Vlad, Dakota O’Dell, & David Erickson. (2013). Smartphone based health accessory for colorimetric detection of biomarkers in sweat and saliva. Lab on a Chip. 13(16). 3232–3232. 296 indexed citations
11.
Doud, Devin F. R., et al.. (2012). Slab waveguide photobioreactors for microalgae based biofuel production. Lab on a Chip. 12(19). 3740–3740. 29 indexed citations
12.
Ooms, Matthew D., et al.. (2012). Evanescent photosynthesis: exciting cyanobacteria in a surface-confined light field. Physical Chemistry Chemical Physics. 14(14). 4817–4817. 19 indexed citations
13.
Chung, Aram J., Yun Suk Huh, & David Erickson. (2011). Large area flexible SERS active substrates using engineered nanostructures. Nanoscale. 3(7). 2903–2903. 90 indexed citations
14.
Mancuso, Matthew, Julie M. Goddard, & David Erickson. (2011). Nanoporous polymer ring resonators for biosensing. Optics Express. 20(1). 245–245. 30 indexed citations
15.
Chung, Aram J., et al.. (2010). Analysis of liquid-to-solid coupling and other performance parameters for microfluidically reconfigurable photonic systems. Optics Express. 18(11). 10973–10973. 6 indexed citations
16.
Park, Seung Min, Yun Suk Huh, Kylan Szeto, et al.. (2010). Rapid Prototyping of Nanofluidic Systems Using Size‐Reduced Electrospun Nanofibers for Biomolecular Analysis. Small. 6(21). 2420–2426. 13 indexed citations
17.
Mandal, Sudeep, Julie M. Goddard, & David Erickson. (2009). A multiplexed optofluidic biomolecular sensor for low mass detection. Lab on a Chip. 9(20). 2924–2924. 129 indexed citations
18.
Huh, Yun Suk, Aram J. Chung, Bernardo Cordovez, & David Erickson. (2008). Enhanced on-chip SERS based biomolecular detection using electrokinetically active microwells. Lab on a Chip. 9(3). 433–439. 84 indexed citations
19.
Erickson, David, et al.. (2003). Zeta-potential measurement using the Smoluchowski equation and the slope of the current–time relationship in electroosmotic flow. Journal of Colloid and Interface Science. 261(2). 402–410. 626 indexed citations breakdown →
20.
Erickson, David, David Sinton, & Dongqing Li. (2003). Joule heating and heat transfer in poly(dimethylsiloxane) microfluidic systems. Lab on a Chip. 3(3). 141–141. 238 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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