Heather E. Nye

1.3k citations
9 papers · 1.0k · h-index 7

Impact in

Papers in

Heather E. Nye

9 papers receiving 1.0k citations

Peers

Heather E. Nye
Comparison fields: 5 of 62
  • Cellular and Molecular Neuroscience 861
  • Behavioral Neuroscience 84
  • Molecular Biology 588
  • Endocrine and Autonomic Systems 54
  • Developmental Neuroscience 30
Replace Eric J. Nestler with:
Eric J. Nestler United States
Hossein K. Kia France
Peter W. Kalivas United States
Kirsten X. Jacobsen Canada
JM Palacios Netherlands
M. Behnam Ghasemzadeh United States
Andrea Hetzel United States
D.H. Park United States
A. M. Janson Sweden
María Elena Avale Argentina
Heather E. Nye relative to Eric J. Nestler United States Eric J. Nestler's profile →
Citations per field
00.5×1.5×1.9×
Eric J. Nestler · 1×
Citations per year

Countries citing papers authored by Heather E. Nye

Since Specialization
Citations

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

Fields of papers citing papers by Heather E. Nye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather E. Nye. 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 Heather E. Nye. The network helps show where Heather E. Nye may publish in the future.

Co-authors

The 18 scholars most cited alongside Heather E. Nye, 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 Heather E. Nye Line = papers co-authored together Heather E. Nye links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1994455
2 1996183
3 1995168
4 1995124
5 199979
6
(S)-(-)-HA-966, a gamma-hydroxybutyrate-like agent, prevents enhanced mesocorticolimbic dopamine metabolism and behavioral correlates of restraint stress, conditioned fear and cocaine sensitization.
199718
7 19918
8 19976
9 19994

About Heather E. Nye

Heather E. Nye is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology and Pharmacology, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (7 papers), Receptor Mechanisms and Signaling (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cellular transport and secretion (2 papers), Adipose Tissue and Metabolism (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (861 citations), Behavioral Neuroscience (84 citations), Molecular Biology (588 citations), Endocrine and Autonomic Systems (54 citations) and Developmental Neuroscience (30 citations). Heather E. Nye has collaborated with scholars based in United States and Canada. Frequent co-authors include E J Nestler, Bruce T. Hope, Max B. Kelz, Michael J. Iadarola, Eric J. Nestler, Yusaku Nakabeppu, David W. Self, Ronald S. Duman, Noboru Hiroi and Jingshan Chen. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Molecular Pharmacology, Neuron, Synapse and PubMed.

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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