Jay M. Johnson

1.1k total citations · 1 hit paper
23 papers, 950 citations indexed

About

Jay M. Johnson is a scholar working on Electrical and Electronic Engineering, Electrochemistry and Bioengineering. According to data from OpenAlex, Jay M. Johnson has authored 23 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 14 papers in Electrochemistry and 10 papers in Bioengineering. Recurrent topics in Jay M. Johnson's work include Electrochemical Analysis and Applications (14 papers), Electrochemical sensors and biosensors (12 papers) and Analytical Chemistry and Sensors (10 papers). Jay M. Johnson is often cited by papers focused on Electrochemical Analysis and Applications (14 papers), Electrochemical sensors and biosensors (12 papers) and Analytical Chemistry and Sensors (10 papers). Jay M. Johnson collaborates with scholars based in United States. Jay M. Johnson's co-authors include Jerry Yang, Erik C. Yusko, Panchika Prangkio, Sheereen Majd, Jiali Li, Michael Mayer, Ryan Rollings, William R. Heineman, H. Brian Halsall and Paul J. Taylor and has published in prestigious journals such as Nature Nanotechnology, Analytical Chemistry and Biochemistry.

In The Last Decade

Jay M. Johnson

23 papers receiving 910 citations

Hit Papers

Controlling protein translocation through nanopores with ... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jay M. Johnson United States 13 605 408 264 187 174 23 950
Ru‐Jia Yu China 19 806 1.3× 316 0.8× 545 2.1× 370 2.0× 141 0.8× 48 1.3k
Lloyd P. Horne United States 9 804 1.3× 311 0.8× 181 0.7× 53 0.3× 41 0.2× 14 889
Boaz Vilozny United States 13 337 0.6× 121 0.3× 221 0.8× 88 0.5× 70 0.4× 16 583
Donald M. Cannon United States 11 500 0.8× 176 0.4× 109 0.4× 32 0.2× 47 0.3× 15 776
Michael P. Cecchini United Kingdom 9 498 0.8× 131 0.3× 197 0.7× 81 0.4× 11 0.1× 9 782
Tamao Odake Japan 14 607 1.0× 172 0.4× 119 0.5× 72 0.4× 115 0.7× 34 827
Roswitha S. Ramsey United States 17 1.4k 2.3× 329 0.8× 148 0.6× 20 0.1× 74 0.4× 29 1.7k
Ellen L. Holthoff United States 13 358 0.6× 234 0.6× 132 0.5× 48 0.3× 127 0.7× 52 807
S.A. Dassie Argentina 18 71 0.1× 226 0.6× 188 0.7× 454 2.4× 326 1.9× 66 887
Suman Sen United States 9 283 0.5× 227 0.6× 213 0.8× 46 0.2× 9 0.1× 11 519

Countries citing papers authored by Jay M. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Jay M. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay M. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Jay M. Johnson. A scholar is included among the top collaborators of Jay M. Johnson 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 Jay M. Johnson. Jay M. Johnson 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.
Tosh, Pritish K., et al.. (2020). Elements of an Effective Incident Command Center. Mayo Clinic Proceedings. 95(9). S3–S7. 11 indexed citations
2.
Kashiwagi, Deanne T., et al.. (2016). All CLEAR? Preparing for IT Downtime. American Journal of Medical Quality. 32(5). 547–551. 5 indexed citations
3.
Bange, Adam, et al.. (2013). The Application of Nafion Metal Catalyst Free Carbon Nanotube Modified Gold Electrode: Voltammetric Zinc Detection in Serum. Electroanalysis. 25(10). 2259–2267. 12 indexed citations
4.
Wang, Tingting, et al.. (2013). Simplified Nitrate-Reductase-Based Nitrate Detection by a Hybrid Thin-Layer Controlled Potential Coulometry/Spectroscopy Technique. Analytical Chemistry. 85(20). 9486–9492. 14 indexed citations
5.
Bange, Adam, et al.. (2012). Manganese Detection with a Metal Catalyst Free Carbon Nanotube Electrode: Anodic versus Cathodic Stripping Voltammetry. Electroanalysis. 24(10). 1909–1914. 38 indexed citations
6.
Pantelić, Nebojša Đ., et al.. (2012). Anodic Stripping Voltammetry of Heavy Metals on a Metal Catalyst Free Carbon Nanotube Electrode. Electroanalysis. 24(5). 1039–1046. 33 indexed citations
7.
Wang, Tingting, et al.. (2012). Electrochemical Studies of Catalyst Free Carbon Nanotube Electrodes. Electroanalysis. 25(4). 983–990. 14 indexed citations
8.
Yusko, Erik C., Jay M. Johnson, Sheereen Majd, et al.. (2011). Controlling protein translocation through nanopores with bio-inspired fluid walls. Nature Nanotechnology. 6(4). 253–260. 561 indexed citations breakdown →
9.
Johnson, Jay M., et al.. (2011). Microfabricated Electrochemical Detector for High-Performance Liquid Chromatography. Analytical Chemistry. 83(18). 6963–6970. 6 indexed citations
10.
Yusko, Erik C., Jay M. Johnson, Yazan N. Billeh, et al.. (2010). Lipid Bilayers in Nanopores to Vary their Diameter, Characterize Amyloid-β Aggregates and Monitor the Activity of Membrane-Active Enzymes. Biophysical Journal. 98(3). 598a–598a. 1 indexed citations
11.
Johnson, Jay M., et al.. (2008). State-of-the-art monitoring of fuel acidity. Sensors and Actuators B Chemical. 130(2). 871–881. 4 indexed citations
12.
Naik, Rajesh R., et al.. (2003). Biosynthesis of Silver Nanoparticles. MRS Proceedings. 774. 3 indexed citations
13.
Mădăraş, Marcel B., et al.. (1997). Glutamine Biosensors for Biotechnology Applications, with Suppression of the Endogenous Glutamate Signal. Analytical Chemistry. 69(18). 3674–3678. 16 indexed citations
14.
Heineman, William R., et al.. (1993). Humidity sensor based on conductivity measurements of a poly(dimethyldiallylammonium chloride) polymer film. Sensors and Actuators B Chemical. 17(1). 61–68. 40 indexed citations
15.
Heineman, William R., et al.. (1992). Oxygen sensors based on the ionically conductive polymer poly(dimethyldiallylammonium chloride). Sensors and Actuators B Chemical. 8(2). 199–204. 7 indexed citations
16.
Heineman, William R., et al.. (1991). Fabrication and characterization of a platinum/ceramic electrochemical sensor. Sensors and Actuators B Chemical. 5(1-4). 121–127. 8 indexed citations
17.
Johnson, Jay M., H. Brian Halsall, & William R. Heineman. (1985). Redox activation of galactose oxidase: thin-layer electrochemical study. Biochemistry. 24(7). 1579–1585. 46 indexed citations
18.
Johnson, Jay M., H. Brian Halsall, & William R. Heineman. (1982). Galactose oxidase enzyme electrode with internal solution potential control. Analytical Chemistry. 54(8). 1394–1399. 17 indexed citations
19.
Johnson, Jay M., H. Brian Halsall, & William R. Heineman. (1982). Potential-dependent enzymic activity in an enzyme thin-layer cell. Analytical Chemistry. 54(8). 1377–1383. 17 indexed citations
20.
Taylor, Paul J., et al.. (1977). Design, construction, and applications of a galactose selective electrode. Analytical Chemistry. 49(6). 789–794. 66 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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