Gregory S. McCarty

2.9k citations
55 papers · 2.4k · h-index 27

Impact in

Papers in

Gregory S. McCarty

52 papers receiving 2.3k citations

Peers

Gregory S. McCarty
Comparison fields: 5 of 114
  • Electrochemistry 737
  • Bioengineering 270
  • Cellular and Molecular Neuroscience 603
  • Polymers and Plastics 408
  • Electrical and Electronic Engineering 1.3k
Replace Keiichi Torimitsu with:
Keiichi Torimitsu Japan
Pascal Mailley France
Irina Svir France
Carlo Augusto Bortolotti Italy
Harold G. Monbouquette United States
Albert Schulte Thailand
Alexander Oleinick France
Yan‐Ling Liu China
Christopher B. Jacobs United States
Raphaël Trouillon Sweden
Gregory S. McCarty relative to Keiichi Torimitsu Japan Keiichi Torimitsu's profile →
Citations per field
00.5×4.2×
Keiichi Torimitsu · 1×
Citations per year

Countries citing papers authored by Gregory S. McCarty

Since Specialization
Citations

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

Fields of papers citing papers by Gregory S. McCarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory S. McCarty. 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 Gregory S. McCarty. The network helps show where Gregory S. McCarty may publish in the future.

Co-authors

The 25 scholars most cited alongside Gregory S. McCarty, 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 Gregory S. McCarty Line = papers co-authored together Gregory S. McCarty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005411
2 2010204
3 2010107
4 2007107
5 2005101
6 201095
7 200390
8 200977
9 200076
10 200975
11 201075
12 201372
13 200469
14 199960
15 202050
16 201449
17 201849
18 198742
19 201641
20 201940

About Gregory S. McCarty

Gregory S. McCarty is a scholar working on Electrical and Electronic Engineering, Electrochemistry, Cellular and Molecular Neuroscience, Molecular Biology and Biomedical Engineering, having authored 55 papers that have together received 2.4k indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (25 papers), Electrochemical Analysis and Applications (23 papers), Neuroscience and Neural Engineering (11 papers), Conducting polymers and applications (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Molecular Junctions and Nanostructures (7 papers), Analytical Chemistry and Sensors (6 papers) and Force Microscopy Techniques and Applications (5 papers). The work is most often cited by research in Electrochemistry (737 citations), Bioengineering (270 citations), Cellular and Molecular Neuroscience (603 citations), Polymers and Plastics (408 citations) and Electrical and Electronic Engineering (1.3k citations). Gregory S. McCarty has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Joseph Irudayaraj, Gilles K. Kouassi, Leslie A. Sombers, R. Mark Wightman, Matthew K. Zachek, Paul S. Weiss, Pavel Takmakov, James G. Roberts, Richard B. Keithley and Jinwoo Park. Their work appears in journals such as Analytical Chemistry, ACS Sensors, Langmuir, Journal of Electroanalytical Chemistry and ACS Chemical Neuroscience.

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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