Ashley M. Kopec

1.2k total citations · 1 hit paper
24 papers, 813 citations indexed

About

Ashley M. Kopec is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Ashley M. Kopec has authored 24 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 7 papers in Neurology. Recurrent topics in Ashley M. Kopec's work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Stress Responses and Cortisol (5 papers). Ashley M. Kopec is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Stress Responses and Cortisol (5 papers). Ashley M. Kopec collaborates with scholars based in United States, Czechia and Canada. Ashley M. Kopec's co-authors include Yannick Poitelon, Sophie Belin, Staci D. Bilbo, Caroline J. Smith, Thomas Carew, Gary T. Philips, Richa Hanamsagar, Michael J. Lacagnina, Phillip D. Rivera and Xiaojing Ye and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Ashley M. Kopec

24 papers receiving 809 citations

Hit Papers

Myelin Fat Facts: An Over... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashley M. Kopec United States 12 276 265 193 124 105 24 813
Michał Ślęzak Poland 13 356 1.3× 274 1.0× 223 1.2× 155 1.3× 98 0.9× 18 840
Isabella Ferando United States 11 315 1.1× 234 0.9× 269 1.4× 77 0.6× 92 0.9× 16 851
Georgia Gunner United States 10 340 1.2× 256 1.0× 373 1.9× 203 1.6× 80 0.8× 14 1.0k
Parizad M. Bilimoria United States 12 299 1.1× 554 2.1× 152 0.8× 130 1.0× 60 0.6× 13 1.0k
Margarita Arango-Lievano France 18 369 1.3× 318 1.2× 185 1.0× 70 0.6× 224 2.1× 27 1.0k
Yulia K. Komleva Russia 18 138 0.5× 225 0.8× 201 1.0× 124 1.0× 44 0.4× 35 720
Grégory Dal Bo Canada 13 592 2.1× 388 1.5× 250 1.3× 88 0.7× 74 0.7× 23 1.2k
Sarah Montgomery United States 12 209 0.8× 197 0.7× 364 1.9× 73 0.6× 124 1.2× 24 813
Marcin Piechota Poland 22 445 1.6× 550 2.1× 221 1.1× 90 0.7× 191 1.8× 61 1.4k
Xin‐Rui Qi China 20 247 0.9× 382 1.4× 171 0.9× 98 0.8× 274 2.6× 34 1.0k

Countries citing papers authored by Ashley M. Kopec

Since Specialization
Citations

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

Fields of papers citing papers by Ashley M. Kopec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashley M. Kopec. 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 Ashley M. Kopec. The network helps show where Ashley M. Kopec may publish in the future.

Co-authorship network of co-authors of Ashley M. Kopec

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

All Works

20 of 20 papers shown
2.
Abi‐Ghanem, Charly, Abigail E. Salinero, Richard D. Kelly, et al.. (2023). Sex differences in the effects of high fat diet on underlying neuropathology in a mouse model of VCID. Biology of Sex Differences. 14(1). 31–31. 7 indexed citations
3.
Kopec, Ashley M., et al.. (2023). Morphine exposure during adolescence induces enduring social changes dependent on adolescent stage of exposure, sex, and social test.. Behavioral Neuroscience. 138(1). 59–71. 2 indexed citations
4.
Rǎdulescu, Anca, et al.. (2022). Estimating the glutamate transporter surface density in distinct sub-cellular compartments of mouse hippocampal astrocytes. PLoS Computational Biology. 18(2). e1009845–e1009845. 8 indexed citations
5.
Gildawie, Kelsea R., et al.. (2022). Immune signaling as a node of interaction between systems that sex-specifically develop during puberty and adolescence. Developmental Cognitive Neuroscience. 57. 101143–101143. 9 indexed citations
6.
Poitelon, Yannick, Ashley M. Kopec, & Sophie Belin. (2020). Myelin Fat Facts: An Overview of Lipids and Fatty Acid Metabolism. Cells. 9(4). 812–812. 238 indexed citations breakdown →
7.
Kopec, Ashley M., et al.. (2020). A semi-automated brain atlas-based analysis pipeline for c-Fos immunohistochemical data. Journal of Neuroscience Methods. 348. 108982–108982. 4 indexed citations
8.
Kopec, Ashley M., et al.. (2020). ELAV Proteins Bind and Stabilize C/EBP mRNA in the Induction of Long-Term Memory in Aplysia. Journal of Neuroscience. 41(5). 947–959. 8 indexed citations
9.
Kopec, Ashley M., Caroline J. Smith, & Staci D. Bilbo. (2019). Neuro-Immune Mechanisms Regulating Social Behavior: Dopamine as Mediator?. Trends in Neurosciences. 42(5). 337–348. 40 indexed citations
10.
Kopec, Ashley M., et al.. (2018). Microglial dopamine receptor elimination defines sex-specific nucleus accumbens development and social behavior in adolescent rats. Nature Communications. 9(1). 3769–3769. 184 indexed citations
11.
Kopec, Ashley M., Phillip D. Rivera, Michael J. Lacagnina, Richa Hanamsagar, & Staci D. Bilbo. (2017). Optimized solubilization of TRIzol-precipitated protein permits Western blotting analysis to maximize data available from brain tissue. Journal of Neuroscience Methods. 280. 64–76. 70 indexed citations
12.
Lacagnina, Michael J., Ashley M. Kopec, Stewart S. Cox, et al.. (2017). Opioid Self-Administration is Attenuated by Early-Life Experience and Gene Therapy for Anti-Inflammatory IL-10 in the Nucleus Accumbens of Male Rats. Neuropsychopharmacology. 42(11). 2128–2140. 32 indexed citations
13.
14.
Kopec, Ashley M., Gary T. Philips, & Thomas Carew. (2015). Distinct Growth Factor Families Are Recruited in Unique Spatiotemporal Domains during Long-Term Memory Formation in Aplysia californica. Neuron. 86(5). 1228–1239. 20 indexed citations
16.
Pu, Lu, et al.. (2014). A novel cysteine-rich neurotrophic factor in Aplysia facilitates growth, MAPK activation, and long-term synaptic facilitation. Learning & Memory. 21(4). 215–222. 13 indexed citations
18.
Kopec, Ashley M. & Thomas Carew. (2013). Growth factor signaling and memory formation: temporal and spatial integration of a molecular network. Learning & Memory. 20(10). 531–539. 15 indexed citations
19.
Philips, Gary T., Ashley M. Kopec, & Thomas Carew. (2013). Pattern and predictability in memory formation: From molecular mechanisms to clinical relevance. Neurobiology of Learning and Memory. 105. 117–124. 27 indexed citations
20.
Philips, Gary T., Xiaojing Ye, Ashley M. Kopec, & Thomas Carew. (2013). MAPK Establishes a Molecular Context That Defines Effective Training Patterns for Long-Term Memory Formation. Journal of Neuroscience. 33(17). 7565–7573. 53 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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