Evalynn J. Mazurski

683 citations
15 papers · 570 indexed · h-index 12

Evalynn J. Mazurski

15 papers receiving 557 citations

Peers

Evalynn J. Mazurski
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 294
  • Behavioral Neuroscience 54
  • Cognitive Neuroscience 206
  • Experimental and Cognitive Psychology 96
  • Small Animals 47
Replace Adi Cymerblit‐Sabba with:
Adi Cymerblit‐Sabba Israel
E Kostarczyk Poland
Joseph D. Allen United States
Matthew R. Bailey United States
Thomas J. Testa United States
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Wesley White United States
M. E. Carroll United States
T. H. C. Cheung United Kingdom
P. J. Livesey Australia
Evalynn J. Mazurski relative to Adi Cymerblit‐Sabba Israel Adi Cymerblit‐Sabba's profile →
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Citations per year

Countries citing papers authored by Evalynn J. Mazurski

Since Specialization
Citations

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

Fields of papers citing papers by Evalynn J. Mazurski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evalynn J. Mazurski. 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 Evalynn J. Mazurski. The network helps show where Evalynn J. Mazurski may publish in the future.

Co-authorship network

The 14 scholars most cited alongside Evalynn J. Mazurski, 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 Evalynn J. Mazurski Line = papers co-authored together Evalynn J. Mazurski links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 200017
2 199964
3 199738
4 199638
5 19941
6 199365
7
Receptor subtype-specific dopaminergic agents and unconditioned behavior.
199231
8 199155
9 198993
10 19887
11 19884
12 198811
13 198735
14 198784
15 198627

About Evalynn J. Mazurski

Evalynn J. Mazurski is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience, Social Psychology, Toxicology and Behavioral Neuroscience, having authored 15 papers that have together received 570 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (9 papers), Neuroendocrine regulation and behavior (3 papers), Olfactory and Sensory Function Studies (3 papers), Behavioral and Psychological Studies (2 papers), Receptor Mechanisms and Signaling (2 papers), Memory and Neural Mechanisms (2 papers), Stress Responses and Cortisol (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (294 citations), Behavioral Neuroscience (54 citations), Cognitive Neuroscience (206 citations), Experimental and Cognitive Psychology (96 citations) and Small Animals (47 citations). Evalynn J. Mazurski has collaborated with scholars based in Canada and Australia. Frequent co-authors include Richard J Beninger, Nigel W. Bond, Diane C. Hoffman, Alan Taylor, D. Hoffman, Kersti Seksel, Susan Kennedy, Ronald M. Rapee, Michael Cheng and Peter Ramm. Their work appears in journals such as Pharmacology Biochemistry and Behavior, Psychopharmacology, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Neuroscience & Biobehavioral Reviews and Behaviour Research and Therapy.

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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