Mary Jane Skelly

979 total citations
16 papers, 653 citations indexed

About

Mary Jane Skelly is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Molecular Biology. According to data from OpenAlex, Mary Jane Skelly has authored 16 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 6 papers in Behavioral Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Mary Jane Skelly's work include Neurotransmitter Receptor Influence on Behavior (9 papers), Stress Responses and Cortisol (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Mary Jane Skelly is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (9 papers), Stress Responses and Cortisol (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Mary Jane Skelly collaborates with scholars based in United States, Brazil and Germany. Mary Jane Skelly's co-authors include Jeffrey L. Weiner, Kristen E. Pleil, Tamara Zeric, Michael C. Salling, Neil L. Harrison, Olusegun J. Ariwodola, Wayne E. Pratt, Jeff L. Weiner, Jeffrey L. Weiner and Daniel C. Lowes and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Mary Jane Skelly

16 papers receiving 648 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mary Jane Skelly United States 14 397 183 173 171 124 16 653
David Conversi Italy 19 374 0.9× 148 0.8× 163 0.9× 217 1.3× 146 1.2× 37 788
Rachel I. Anderson United States 16 482 1.2× 195 1.1× 213 1.2× 184 1.1× 95 0.8× 20 735
Dean Kirson United States 14 325 0.8× 233 1.3× 143 0.8× 127 0.7× 143 1.2× 27 671
Rodrigo M. Leão Brazil 15 493 1.2× 208 1.1× 253 1.5× 239 1.4× 145 1.2× 32 762
J. Andrew Hardaway United States 10 379 1.0× 162 0.9× 216 1.2× 180 1.1× 173 1.4× 10 742
Esi Domi Italy 14 462 1.2× 127 0.7× 152 0.9× 278 1.6× 127 1.0× 34 773
Caleb J. Browne United States 16 322 0.8× 106 0.6× 117 0.7× 249 1.5× 88 0.7× 32 671
Stephanie M. Perez United States 16 344 0.9× 92 0.5× 208 1.2× 175 1.0× 93 0.8× 26 694
Minerva Crespo‐Ramírez Mexico 15 279 0.7× 121 0.7× 119 0.7× 175 1.0× 153 1.2× 22 557
Matthew B. Pomrenze United States 15 383 1.0× 246 1.3× 162 0.9× 152 0.9× 181 1.5× 25 677

Countries citing papers authored by Mary Jane Skelly

Since Specialization
Citations

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

Fields of papers citing papers by Mary Jane Skelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Jane Skelly. 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 Mary Jane Skelly. The network helps show where Mary Jane Skelly may publish in the future.

Co-authorship network of co-authors of Mary Jane Skelly

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Jane Skelly. A scholar is included among the top collaborators of Mary Jane Skelly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mary Jane Skelly. Mary Jane Skelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Zallar, Lia J., et al.. (2023). Sex differences in binge alcohol drinking and the behavioral consequences of protracted abstinence in C57BL/6J mice. Biology of Sex Differences. 14(1). 83–83. 20 indexed citations
2.
Skelly, Mary Jane, John D. Miller, Sydney A. Rowson, et al.. (2021). The paraventricular thalamus provides a polysynaptic brake on limbic CRF neurons to sex-dependently blunt binge alcohol drinking and avoidance behavior in mice. Nature Communications. 12(1). 5080–5080. 38 indexed citations
3.
Skelly, Mary Jane, et al.. (2020). Social Isolation Stress in Adolescence, but not Adulthood, Produces Hypersocial Behavior in Adult Male and Female C57BL/6J Mice. Frontiers in Behavioral Neuroscience. 14. 129–129. 45 indexed citations
4.
Taki, Faten, Shifra Klein, Mary Jane Skelly, et al.. (2020). Epigenomically Bistable Regions across Neuron-Specific Genes Govern Neuron Eligibility to a Coding Ensemble in the Hippocampus. Cell Reports. 31(12). 107789–107789. 9 indexed citations
5.
Acosta-Ruiz, Amanda, Vanessa A. Gutzeit, Mary Jane Skelly, et al.. (2019). Branched Photoswitchable Tethered Ligands Enable Ultra-efficient Optical Control and Detection of G Protein-Coupled Receptors In Vivo. Neuron. 105(3). 446–463.e13. 57 indexed citations
6.
Pleil, Kristen E. & Mary Jane Skelly. (2018). CRF modulation of central monoaminergic function: Implications for sex differences in alcohol drinking and anxiety. Alcohol. 72. 33–47. 20 indexed citations
7.
Salling, Michael C., Mary Jane Skelly, Elizabeth M. Avegno, et al.. (2018). Alcohol Consumption during Adolescence in a Mouse Model of Binge Drinking Alters the Intrinsic Excitability and Function of the Prefrontal Cortex through a Reduction in the Hyperpolarization-Activated Cation Current. Journal of Neuroscience. 38(27). 6207–6222. 64 indexed citations
8.
Harrison, Neil L., et al.. (2017). Effects of acute alcohol on excitability in the CNS. Neuropharmacology. 122. 36–45. 70 indexed citations
9.
Skelly, Mary Jane, Olusegun J. Ariwodola, & Jeffrey L. Weiner. (2016). Fear conditioning selectively disrupts noradrenergic facilitation of GABAergic inhibition in the basolateral amygdala. Neuropharmacology. 113(Pt A). 231–240. 21 indexed citations
11.
Weiner, Jeffrey L., Anushree N. Karkhanis, Andrew R. Rau, Mary Jane Skelly, & Sara R. Jones. (2015). SY17-2ADOLESCENT SOCIAL ISOLATION AS A MODEL OF ALCOHOL ADDICTION VULNERABILITY. Alcohol and Alcoholism. 50(suppl 1). i20.1–i20. 1 indexed citations
12.
Skelly, Mary Jane, Ann M. Chappell, Olusegun J. Ariwodola, & Jeffrey L. Weiner. (2015). Behavioral and neurophysiological evidence that lateral paracapsular GABAergic synapses in the basolateral amygdala contribute to the acquisition and extinction of fear learning. Neurobiology of Learning and Memory. 127. 10–16. 16 indexed citations
14.
Abrahao, Karina Possa, Olusegun J. Ariwodola, Tracy R. Butler, et al.. (2013). Locomotor Sensitization to Ethanol Impairs NMDA Receptor-Dependent Synaptic Plasticity in the Nucleus Accumbens and Increases Ethanol Self-Administration. Journal of Neuroscience. 33(11). 4834–4842. 74 indexed citations
15.
Skelly, Mary Jane, et al.. (2010). CB1 receptors modulate the intake of a sweetened-fat diet in response to mu-opioid receptor stimulation of the nucleus accumbens. Pharmacology Biochemistry and Behavior. 97(1). 144–151. 25 indexed citations
16.
Pratt, Wayne E., Kaitlin Blackstone, Megan E. Connolly, & Mary Jane Skelly. (2009). Selective serotonin receptor stimulation of the medial nucleus accumbens causes differential effects on food intake and locomotion.. Behavioral Neuroscience. 123(5). 1046–1057. 38 indexed citations

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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