Eric S. McCoy

1.5k citations
17 papers · 1.1k · h-index 12

Impact in

Papers in

    • Ion channel regulation and function 3
    • Ion Transport and Channel Regulation 3
    • CRISPR and Genetic Engineering 2
    • Pain Mechanisms and Treatments 5

Eric S. McCoy

15 papers receiving 1.0k citations

Peers

Eric S. McCoy
Comparison fields: 5 of 106
  • Sensory Systems 99
  • Developmental Neuroscience 73
  • Cellular and Molecular Neuroscience 235
  • Physiology 259
  • Neurology 74
Replace Yanqing Zhong with:
Yanqing Zhong China
Makoto Okazawa Japan
Inja Lim South Korea
Kohei Shimizu Japan
Virginia Barone Italy
Raymond A. Chavez United States
Wei-Zheng Zeng China
Chung Min Shin South Korea
Eleni Roussa Germany
Qingjian Han China
Eric S. McCoy relative to Yanqing Zhong China Yanqing Zhong's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eric S. McCoy

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. McCoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2013205
2 2019175
3 2007144
4 2016101
5 200498
6 201293
7 200973
8 201651
9 200938
10 196738
11 202317
12 201713
13 201411
14 20123
15 20251
16 20250
17 20250

About Eric S. McCoy

Eric S. McCoy is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Genetics and Sensory Systems, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (5 papers), Genetic Syndromes and Imprinting (3 papers), Ion channel regulation and function (3 papers), Ion Transport and Channel Regulation (3 papers), Ion Channels and Receptors (3 papers), Veterinary Pharmacology and Anesthesia (2 papers), CRISPR and Genetic Engineering (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Sensory Systems (99 citations), Developmental Neuroscience (73 citations), Cellular and Molecular Neuroscience (235 citations), Physiology (259 citations) and Neurology (74 citations). Eric S. McCoy has collaborated with scholars based in United States. Frequent co-authors include Harald Sontheimer, Bonnie Taylor‐Blake, Mark J. Zylka, Mark J. Zylka, Jeremy M. Simon, Sarah E. Street, Alaine L. Pribisko, Jihong Zheng, E.S. Anton and Tamara Tramišak Milaković. Their work appears in journals such as Glia, Journal of Neuroscience, Nature Communications, SLAS DISCOVERY and Pain.

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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