William A. Eckert

979 citations
27 papers · 758 indexed · h-index 13

William A. Eckert

24 papers receiving 724 citations

Peers

William A. Eckert
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 295
  • Physiology 372
  • Sensory Systems 69
  • Behavioral Neuroscience 37
  • Gender Studies 85
Replace Karin da Costa Calaza with:
Karin da Costa Calaza Brazil
Ben Jones United States
Ken Perry United States
Leslie Lerea United States
Johannes Kapeller Germany
Raquel Pinho Portugal
Carol R. Sterling United States
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Countries citing papers authored by William A. Eckert

Since Specialization
Citations

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

Fields of papers citing papers by William A. Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20206
2 202012
3 20197
4
Pharmacology and Clinical Activity of Toreforant, a Histamine H 4 Receptor Antagonist
20174
5 201793
6 20167
7 201554
8 201125
9 20111
10 200631
11 2003231
12 200326
13 200214
14 200112
15 199854
16 19945
17 199332
18 19853
19 198155
20 19761

About William A. Eckert

William A. Eckert is a scholar working on Medical Laboratory Technology, Sensory Systems, Physiology, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 27 papers that have together received 758 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (10 papers), Ion channel regulation and function (5 papers), Electoral Systems and Political Participation (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Ion Channels and Receptors (3 papers), Neuropeptides and Animal Physiology (3 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (295 citations), Physiology (372 citations), Sensory Systems (69 citations), Behavioral Neuroscience (37 citations) and Gender Studies (85 citations). William A. Eckert has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include Allan I. Basbaum, Shannon D. Shields, Alan R. Light, Stephen P. Schneider, Alan D. Wickenden, István Merchenthaler, David E. Lennard, David Julius, Kirk K. McNaughton and Michael P. Maher. Their work appears in journals such as Journal of Pain, Bioorganic & Medicinal Chemistry Letters, Scientific Reports, Journal of Neurophysiology and Molecular Pharmacology.

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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