Eric A. Muth

1.8k citations
24 papers · 1.4k · h-index 18

Impact in

Papers in

Eric A. Muth

24 papers receiving 1.3k citations

Peers

Eric A. Muth
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 677
  • Pharmacology 344
  • Behavioral Neuroscience 73
  • Endocrine and Autonomic Systems 90
  • Biological Psychiatry 26
Replace W. R. Buckett with:
W. R. Buckett United Kingdom
Nansie S. Sharpless United States
M. Trabucchi Italy
A. Groppetti Italy
William O. Boggan United States
A. Revuelta United States
John A. Moyer United States
Jewell W. Sloan United States
Dean R. Haubrich United States
Pamela E. Potter United States
Eric A. Muth relative to W. R. Buckett United Kingdom W. R. Buckett's profile →
Citations per field
00.5×2.8×
W. R. Buckett · 1×
Citations per year

Countries citing papers authored by Eric A. Muth

Since Specialization
Citations

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

Fields of papers citing papers by Eric A. Muth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986322
2 1978264
3 1991174
4 1990101
5 198561
6 198057
7 198551
8 197747
9 198743
10 197642
11 197832
12 197932
13 198729
14 198827
15 197623
16 198917
17 197517
18 197617
19 199213
20 198713

About Eric A. Muth

Eric A. Muth is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Pharmacology and Endocrine and Autonomic Systems, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Synthesis and Biological Evaluation (3 papers), Stress Responses and Cortisol (3 papers), Phosphodiesterase function and regulation (2 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (677 citations), Pharmacology (344 citations), Behavioral Neuroscience (73 citations), Endocrine and Autonomic Systems (90 citations) and Biological Psychiatry (26 citations). Eric A. Muth has collaborated with scholars based in United States, Czechia and Canada. Frequent co-authors include John A. Moyer, David M. Jacobowitz, J. Thomas Haskins, G. E. M. Husbands, Donald B. Hoover, Terrance H. Andree, E.B. Sigg, Susan Nielsen, Zehava Gottesfeld and Magid Abou‐Gharbia. Their work appears in journals such as Brain Research, Journal of Medicinal Chemistry, European Journal of Pharmacology, Journal of Neurochemistry and Clinical Neuropharmacology.

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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