Jay M. Johnson

1.1k citations
23 papers · 950 indexed · 1 hit paper · h-index 13

Jay M. Johnson

23 papers receiving 910 citations

Hit Papers

Controlling protein translocation through nanopores with ...5612011202620162021100200300400500

Peers

Jay M. Johnson
Comparison fields: 5 of 84
  • Bioengineering 174
  • Electrochemistry 187
  • Biomedical Engineering 605
  • Physical and Theoretical Chemistry 85
  • Electrical and Electronic Engineering 408
Replace Ru‐Jia Yu with:
Ru‐Jia Yu China
Lloyd P. Horne United States
Boaz Vilozny United States
Tamao Odake Japan
S.A. Dassie Argentina
Donald M. Cannon United States
Sujit S. Panja India
Jeremy R. Kenseth United States
Ellen L. Holthoff United States
Matthias Jöhnck Germany
Jay M. Johnson relative to Ru‐Jia Yu China Ru‐Jia Yu's profile →
Citations per field
00.5×10×20×29.5×
Ru‐Jia Yu · 1×
Citations per year

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

The 25 scholars most cited alongside Jay M. Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay M. Johnson Line = papers co-authored together Jay M. Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202011
2 20165
3 201312
4 201314
5 201238
6 201233
7 201214
8
Controlling protein translocation through nanopores with bio-inspired fluid wallsbreakdown →
2011561
9 20101
10 20084
11 20081
12 20033
13 199716
14 199340
15 19927
16 19918
17 198546
18 198217
19 198217
20 197766

About Jay M. Johnson

Jay M. Johnson is a scholar working on Electrochemistry, Bioengineering and Medical Laboratory Technology, having authored 23 papers that have together received 950 indexed citations. Recurring topics across this work include Electrochemical Analysis and Applications (14 papers), Electrochemical sensors and biosensors (12 papers), Analytical Chemistry and Sensors (10 papers), Conducting polymers and applications (6 papers), Carbon Nanotubes in Composites (2 papers), Fuel Cells and Related Materials (2 papers), Nanopore and Nanochannel Transport Studies (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Bioengineering (174 citations), Electrochemistry (187 citations) and Biomedical Engineering (605 citations). Jay M. Johnson has collaborated with scholars based in United States. Frequent co-authors include Ryan Rollings, Erik C. Yusko, Panchika Prangkio, Sheereen Majd, Jiali Li, Michael Mayer, Jerry Yang, William R. Heineman, H. Brian Halsall and Paul J. Taylor. Their work appears in journals such as Analytical Chemistry, Electroanalysis, Sensors and Actuators B Chemical, American Journal of Medical Quality and Biochemistry.

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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