Paul Yager

17.3k total citations · 3 hit papers
197 papers, 13.0k citations indexed

About

Paul Yager is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Paul Yager has authored 197 papers receiving a total of 13.0k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Biomedical Engineering, 81 papers in Molecular Biology and 26 papers in Electrical and Electronic Engineering. Recurrent topics in Paul Yager's work include Biosensors and Analytical Detection (66 papers), Microfluidic and Capillary Electrophoresis Applications (65 papers) and Microfluidic and Bio-sensing Technologies (56 papers). Paul Yager is often cited by papers focused on Biosensors and Analytical Detection (66 papers), Microfluidic and Capillary Electrophoresis Applications (65 papers) and Microfluidic and Bio-sensing Technologies (56 papers). Paul Yager collaborates with scholars based in United States, Russia and India. Paul Yager's co-authors include Elain Fu, Bernhard H. Weigl, Barry R. Lutz, Andrew Evan Kamholz, Peter Kauffman, Paul E. Schoen, J. Gerdes, Gonzalo J. Domingo, Kjell E. Nelson and Kristen Helton and has published in prestigious journals such as Nature, Science and Journal of the American Chemical Society.

In The Last Decade

Paul Yager

193 papers receiving 12.6k citations

Hit Papers

Microfluidic diagnostic t... 1999 2026 2008 2017 2006 2008 1999 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Paul Yager 9.6k 5.1k 2.4k 1.1k 968 197 13.0k
Frances S. Ligler 7.8k 0.8× 5.7k 1.1× 2.3k 1.0× 1.2k 1.1× 404 0.4× 279 13.7k
Christopher R. Lowe 5.0k 0.5× 7.4k 1.5× 3.9k 1.7× 448 0.4× 362 0.4× 348 14.7k
Mathias Winterhalter 3.7k 0.4× 6.0k 1.2× 760 0.3× 1.2k 1.1× 785 0.8× 267 11.9k
Fredrik Höök 7.3k 0.8× 7.9k 1.5× 2.0k 0.9× 1.5k 1.4× 266 0.3× 218 15.1k
Scott T. Phillips 11.2k 1.2× 7.6k 1.5× 3.2k 1.4× 526 0.5× 1.3k 1.4× 91 14.2k
Shaopeng Wang 3.1k 0.3× 3.9k 0.8× 1.6k 0.7× 449 0.4× 207 0.2× 259 8.8k
Jaebum Choo 8.9k 0.9× 6.8k 1.3× 2.9k 1.2× 492 0.5× 918 0.9× 293 16.3k
Douglas B. Weibel 4.1k 0.4× 3.6k 0.7× 1.2k 0.5× 529 0.5× 206 0.2× 99 9.2k
Martyn C. Davies 5.2k 0.5× 4.8k 0.9× 1.9k 0.8× 3.4k 3.2× 207 0.2× 388 16.6k
Andrew J. deMello 13.5k 1.4× 3.3k 0.7× 6.5k 2.7× 708 0.7× 224 0.2× 310 18.6k

Countries citing papers authored by Paul Yager

Since Specialization
Citations

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

Fields of papers citing papers by Paul Yager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Yager

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Yager. A scholar is included among the top collaborators of Paul Yager 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 Paul Yager. Paul Yager 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.
Olson, Alaina M., Rachel C. Wood, Kris M. Weigel, et al.. (2024). High-sensitivity detection of Mycobacterium tuberculosis DNA in tongue swab samples. Journal of Clinical Microbiology. 63(2). e0114024–e0114024. 3 indexed citations
2.
Heiniger, Erin K., Joshua R. Buser, Xiaohong Zhang, et al.. (2016). Comparison of point-of-care-compatible lysis methods for bacteria and viruses. Journal of Microbiological Methods. 128. 80–87. 30 indexed citations
3.
Fridley, Gina E., Carly A. Holstein, Shefali Oza, & Paul Yager. (2013). The evolution of nitrocellulose as a material for bioassays. MRS Bulletin. 38(4). 326–330. 70 indexed citations
4.
Toley, Bhushan J., Elain Fu, & Paul Yager. (2012). A powerless valving system for fluid flow in paper networks. 1 indexed citations
5.
Lafleur, Lisa, Dean Y. Stevens, Sujatha Ramachandran, et al.. (2012). Progress toward multiplexed sample-to-result detection in low resource settings using microfluidic immunoassay cards. Lab on a Chip. 12(6). 1119–1119. 60 indexed citations
6.
Osborn, Jennifer L., Carly A. Holstein, Cameron Scott Ball, et al.. (2011). A SELF-REFERENCING PAPER T-SENSOR FOR ANALYTE DETECTION. 1 indexed citations
7.
Osborn, Jennifer L., Barry R. Lutz, Elain Fu, & Paul Yager. (2011). NOVEL SAMPLE PROCESSING MODULES FOR ENHANCED PAPER-BASED DIAGNOSTICS. 1 indexed citations
8.
Fu, Elain, Paul Yager, Pierre N. Floriano, Nicolaos Christodoulides, & John T. McDevitt. (2011). Perspective on Diagnostics for Global Health. IEEE Pulse. 2(6). 40–50. 40 indexed citations
10.
Lutz, Barry R., et al.. (2011). Two-dimensional paper networks: programmable fluidic disconnects for multi-step processes in shaped paper. Lab on a Chip. 11(24). 4274–4274. 130 indexed citations
11.
Fu, Elain, Barry R. Lutz, Peter Kauffman, & Paul Yager. (2010). Controlled reagent transport in disposable 2D paper networks. Lab on a Chip. 10(7). 918–918. 295 indexed citations
12.
Stevens, Dean Y., Camille R. Petri, & Paul Yager. (2008). ON-CARD DRY REAGENT STORAGE FOR DISPOSABLE MICROFLUIDIC IMMUNOASSAYS. 2 indexed citations
13.
Stevens, Dean Y., et al.. (2008). RAPID AND QUANTITATIVE DETECTION OF MALARIAL ANTIGEN FOR MICROFLUIDIC POINT-OF-CARE DIAGNOSIS IN THE DEVELOPING WORLD. 2 indexed citations
14.
Helton, Kristen, Kjell E. Nelson, Elain Fu, & Paul Yager. (2008). Conditioning saliva for use in a microfluidic biosensor. Lab on a Chip. 8(11). 1847–1847. 35 indexed citations
15.
Fu, Elain, Stephen A. Ramsey, & Paul Yager. (2007). Dependence of the signal amplification potential of colloidal gold nanoparticles on resonance wavelength in surface plasmon resonance-based detection. Analytica Chimica Acta. 599(1). 118–123. 17 indexed citations
16.
Fu, Elain, Stephen A. Ramsey, Jingyi Chen, et al.. (2006). Resonance wavelength-dependent signal of absorptive particles in surface plasmon resonance-based detection. Sensors and Actuators B Chemical. 123(1). 606–613. 10 indexed citations
17.
Chinowsky, Timothy M., Kyle S. Johnston, Kjell E. Nelson, et al.. (2006). Compact, high performance surface plasmon resonance imaging system. Biosensors and Bioelectronics. 22(9-10). 2208–2215. 52 indexed citations
18.
Kamholz, Andrew Evan & Paul Yager. (2001). Theoretical Analysis of Molecular Diffusion in Pressure-Driven Laminar Flow in Microfluidic Channels. Biophysical Journal. 80(1). 155–160. 198 indexed citations
19.
Archibald, Douglas D. & Paul Yager. (1992). Microstructural polymorphism in bovine brain galactocerebroside and its two major subfractions. Biochemistry. 31(37). 9045–9055. 34 indexed citations
20.
Rhodes, David G., et al.. (1988). Structure of polymerizable lipid bilayers. I—1,2-bis(10,12-tricosadiynoyl)-sn-glycero-3-phosphocholine, a tubule-forming phosphatidylcholine. Chemistry and Physics of Lipids. 49(1-2). 39–47. 43 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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