Megan Slaker

626 total citations
9 papers, 463 citations indexed

About

Megan Slaker is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Neurology. According to data from OpenAlex, Megan Slaker has authored 9 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 3 papers in Cell Biology and 2 papers in Neurology. Recurrent topics in Megan Slaker's work include Neuroscience and Neuropharmacology Research (5 papers), Neuropeptides and Animal Physiology (3 papers) and Proteoglycans and glycosaminoglycans research (3 papers). Megan Slaker is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Neuropeptides and Animal Physiology (3 papers) and Proteoglycans and glycosaminoglycans research (3 papers). Megan Slaker collaborates with scholars based in United States. Megan Slaker's co-authors include Barbara A. Sorg, Jordan M. Blacktop, Travis E. Brown, John H. Harkness, Lynn Churchill, Damian G. Zuloaga, Jacob Raber, Rebecca A. Darling, Jeffrey W. Grimm and Matthew D. Budde and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Scientific Reports.

In The Last Decade

Megan Slaker

9 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Megan Slaker United States	9	287	158	138	82	62	9	463
Nicole Sabaliauskas United States	10	221 0.8×	62 0.4×	101 0.7×	96 1.2×	84 1.4×	10	508
Rebecca A. Darling United States	8	186 0.6×	76 0.5×	81 0.6×	51 0.6×	109 1.8×	11	347
Dolores Vázquez-Sanromán United States	9	198 0.7×	74 0.5×	75 0.5×	88 1.1×	99 1.6×	12	358
Sylvia Badurek United Kingdom	9	267 0.9×	47 0.3×	160 1.2×	150 1.8×	49 0.8×	13	444
Eric S. Sweet United States	10	249 0.9×	102 0.6×	220 1.6×	103 1.3×	14 0.2×	12	638
Carolina Hoyo-Becerra Spain	10	238 0.8×	101 0.6×	203 1.5×	51 0.6×	22 0.4×	12	547
June Kawano Japan	12	169 0.6×	108 0.7×	136 1.0×	144 1.8×	155 2.5×	20	531
Rosanna P. Sammons Germany	10	286 1.0×	52 0.3×	126 0.9×	192 2.3×	19 0.3×	14	521
Christi J. Wylie United States	9	354 1.2×	50 0.3×	244 1.8×	81 1.0×	48 0.8×	9	534
Melissa A. Stouffer France	10	156 0.5×	101 0.6×	197 1.4×	37 0.5×	120 1.9×	12	515

Countries citing papers authored by Megan Slaker

Since Specialization

Citations

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

Fields of papers citing papers by Megan Slaker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan Slaker. 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 Megan Slaker. The network helps show where Megan Slaker may publish in the future.

Co-authorship network of co-authors of Megan Slaker

This figure shows the co-authorship network connecting the top 25 collaborators of Megan Slaker. A scholar is included among the top collaborators of Megan Slaker 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 Megan Slaker. Megan Slaker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Slaker, Megan, Deborah M. Hegarty, Xinyue Liu, et al.. (2018). Cocaine Exposure Modulates Perineuronal Nets and Synaptic Excitability of Fast-Spiking Interneurons in the Medial Prefrontal Cortex. eNeuro. 5(5). ENEURO.0221–18.2018. 49 indexed citations

Slaker, Megan, et al.. (2018). Effects of Mild Blast Traumatic Brain Injury on Cognitive- and Addiction-Related Behaviors. Scientific Reports. 8(1). 9941–9941. 27 indexed citations

Harkness, John H., Megan Slaker, Zhigang Zhang, et al.. (2018). Consumption of a High-Fat Diet Alters Perineuronal Nets in the Prefrontal Cortex. Neural Plasticity. 2018. 1–8. 28 indexed citations

Slaker, Megan, Alok Shah, Lindsay D. Nelson, et al.. (2018). Repeated blast model of mild traumatic brain injury alters oxycodone self‐administration and drug seeking. European Journal of Neuroscience. 50(3). 2101–2112. 16 indexed citations

Slaker, Megan, et al.. (2016). Impact of Environmental Enrichment on Perineuronal Nets in the Prefrontal Cortex following Early and Late Abstinence from Sucrose Self-Administration in Rats. PLoS ONE. 11(12). e0168256–e0168256. 50 indexed citations

Slaker, Megan, John H. Harkness, & Barbara A. Sorg. (2016). A standardized and automated method of perineuronal net analysis using Wisteria floribunda agglutinin staining intensity. IBRO Reports. 1. 54–60. 68 indexed citations

Slaker, Megan, Jordan M. Blacktop, & Barbara A. Sorg. (2016). Caught in the Net: Perineuronal Nets and Addiction. Neural Plasticity. 2016. 1–8. 35 indexed citations

Slaker, Megan, Lynn Churchill, Jordan M. Blacktop, et al.. (2015). Removal of Perineuronal Nets in the Medial Prefrontal Cortex Impairs the Acquisition and Reconsolidation of a Cocaine-Induced Conditioned Place Preference Memory. Journal of Neuroscience. 35(10). 4190–4202. 163 indexed citations

Sorg, Barbara A., et al.. (2015). Anisomycin in the medial prefrontal cortex reduces reconsolidation of cocaine-associated memories in the rat self-administration model. Neuropharmacology. 92. 25–33. 27 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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