Melissa A. Snyder

1.1k citations
16 papers · 907 · h-index 14

Impact in

Papers in

    • Receptor Mechanisms and Signaling 10
    • Nicotinic Acetylcholine Receptors Study 2
    • Pharmacological Receptor Mechanisms and Effects 2
    • Neuroscience and Neuropharmacology Research 10
    • Neuropeptides and Animal Physiology 2
    • Neurotransmitter Receptor Influence on Behavior 2

Melissa A. Snyder

16 papers receiving 896 citations

Peers

Melissa A. Snyder
Comparison fields: 5 of 86
  • Biological Psychiatry 110
  • Cellular and Molecular Neuroscience 499
  • Behavioral Neuroscience 85
  • Developmental Neuroscience 36
  • Reproductive Medicine 58
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Citations per field
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Citations per year

Countries citing papers authored by Melissa A. Snyder

Since Specialization
Citations

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

Fields of papers citing papers by Melissa A. Snyder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2013194
2 2002111
3 201498
4 200788
5 201069
6 201963
7 201157
8 201046
9 201741
10 201232
11 201432
12 201330
13 201816
14 201616
15
Dynamic Indicators of Basic Early Literacy Skills: An Effective Tool to Assess Adult Literacy Students?.
201111
16
Dissociation of p34cdc2 complex formation from phosphorylation and histone H1 kinase activity.
19953

About Melissa A. Snyder

Melissa A. Snyder is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Developmental Neuroscience, having authored 16 papers that have together received 907 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neuropeptides and Animal Physiology (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Estrogen and related hormone effects (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). The work is most often cited by research in Biological Psychiatry (110 citations), Cellular and Molecular Neuroscience (499 citations), Behavioral Neuroscience (85 citations), Developmental Neuroscience (36 citations) and Reproductive Medicine (58 citations). Melissa A. Snyder has collaborated with scholars based in United States, Canada and Bulgaria. Frequent co-authors include Wen‐Jun Gao, Catherine S. Woolley, Tereza Smejkalová, Paul M. Forlano, Bradley M. Cooke, Richard Bergeron, Zhizhen Zeng, Jacinta B. Williams, Douglas J. Pettibone and J. Fred Hess. Their work appears in journals such as Journal of Neuroscience, Neuropsychopharmacology, Journal of Neurochemistry, Journal of Pharmacology and Experimental Therapeutics and 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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