Jacqueline E. Paniccia

430 total citations
16 papers, 306 citations indexed

About

Jacqueline E. Paniccia is a scholar working on Neurology, Cellular and Molecular Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Jacqueline E. Paniccia has authored 16 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Neurology, 9 papers in Cellular and Molecular Neuroscience and 9 papers in Behavioral Neuroscience. Recurrent topics in Jacqueline E. Paniccia's work include Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Stress Responses and Cortisol (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). Jacqueline E. Paniccia is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Stress Responses and Cortisol (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). Jacqueline E. Paniccia collaborates with scholars based in United States and Japan. Jacqueline E. Paniccia's co-authors include Donald T. Lysle, Christina L. Lebonville, Terrence Deak, Tamara L. Doremus‐Fitzwater, Anny Gano, Meghan Jones, Kathryn J. Reissner, James M. Otis, Michael D. Scofield and Elizabeth M. Doncheck and has published in prestigious journals such as Nature Communications, Neuron and Neuroscience.

In The Last Decade

Jacqueline E. Paniccia

16 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacqueline E. Paniccia United States 10 131 120 103 92 53 16 306
Cristina Mota Portugal 6 132 1.0× 118 1.0× 91 0.9× 96 1.0× 43 0.8× 8 323
Hiram Tendilla‐Beltrán Mexico 13 69 0.5× 146 1.2× 82 0.8× 151 1.6× 44 0.8× 29 381
Mark D. Namba United States 9 73 0.6× 162 1.4× 51 0.5× 76 0.8× 51 1.0× 19 316
Madeline B. Mariani United States 3 97 0.7× 56 0.5× 73 0.7× 124 1.3× 32 0.6× 3 352
Benedikt T. Bedenk Germany 8 47 0.4× 120 1.0× 76 0.7× 49 0.5× 72 1.4× 9 299
Ellane Barcelon South Korea 6 101 0.8× 105 0.9× 40 0.4× 39 0.4× 38 0.7× 7 292
Raúl Ballestín Spain 12 70 0.5× 77 0.6× 125 1.2× 99 1.1× 19 0.4× 19 336
Ana Isabel Santos Portugal 9 68 0.5× 101 0.8× 135 1.3× 111 1.2× 31 0.6× 13 365
Leonardo Santana Novaes Brazil 10 46 0.4× 65 0.5× 116 1.1× 66 0.7× 40 0.8× 18 319
Ji‐Wei Tan United States 7 74 0.6× 93 0.8× 33 0.3× 52 0.6× 78 1.5× 9 345

Countries citing papers authored by Jacqueline E. Paniccia

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline E. Paniccia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacqueline E. Paniccia. 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 Jacqueline E. Paniccia. The network helps show where Jacqueline E. Paniccia may publish in the future.

Co-authorship network of co-authors of Jacqueline E. Paniccia

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline E. Paniccia. A scholar is included among the top collaborators of Jacqueline E. Paniccia 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 Jacqueline E. Paniccia. Jacqueline E. Paniccia 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.
Martino, Michael R., Jacqueline E. Paniccia, Elizabeth M. Doncheck, et al.. (2025). A model of ethanol self‐administration in head‐fixed mice. Alcohol Clinical and Experimental Research. 49(9). 2103–2112. 1 indexed citations
2.
Paniccia, Jacqueline E., et al.. (2024). Dorsal hippocampal astrocytes mediate the development of heroin withdrawal-enhanced fear learning. Psychopharmacology. 241(6). 1265–1275. 2 indexed citations
3.
Paniccia, Jacqueline E., Lisa M. Green, Roger I. Grant, et al.. (2023). Restoration of a paraventricular thalamo-accumbal behavioral suppression circuit prevents reinstatement of heroin seeking. Neuron. 112(5). 772–785.e9. 13 indexed citations
4.
Green, Lisa M., Roger I. Grant, Elizabeth M. Doncheck, et al.. (2022). An opioid-gated thalamoaccumbal circuit for the suppression of reward seeking in mice. Nature Communications. 13(1). 6865–6865. 24 indexed citations
5.
Paniccia, Jacqueline E., James M. Otis, & Michael D. Scofield. (2022). Looking to the stars for answers: Strategies for determining how astrocytes influence neuronal activity. Computational and Structural Biotechnology Journal. 20. 4146–4156. 6 indexed citations
6.
Paniccia, Jacqueline E., Kathryn J. Reissner, Darin J. Knapp, et al.. (2022). Chronic ethanol consumption exacerbates future stress‐enhanced fear learning, an effect mediated by dorsal hippocampal astrocytes. Alcoholism Clinical and Experimental Research. 46(12). 2177–2190. 6 indexed citations
7.
Paniccia, Jacqueline E., et al.. (2021). Hippocampal TNF-α Signaling Mediates Heroin Withdrawal-Enhanced Fear Learning and Withdrawal-Induced Weight Loss. Molecular Neurobiology. 58(6). 2963–2973. 18 indexed citations
8.
Xu, Changqing, Jacqueline E. Paniccia, Rick B. Meeker, et al.. (2021). GPR18 drives FAAH inhibition-induced neuroprotection against HIV-1 Tat-induced neurodegeneration. Experimental Neurology. 341. 113699–113699. 21 indexed citations
9.
Paniccia, Jacqueline E., et al.. (2020). Female rats express heroin-induced and -conditioned suppression of peripheral nitric oxide production in response to endotoxin challenge. Brain Behavior and Immunity. 91. 315–323. 5 indexed citations
10.
Paniccia, Jacqueline E., et al.. (2020). Dorsal hippocampal interleukin-1 signaling mediates heroin withdrawal-enhanced fear learning. Psychopharmacology. 237(12). 3653–3664. 13 indexed citations
11.
12.
Jones, Meghan, Jacqueline E. Paniccia, Christina L. Lebonville, Kathryn J. Reissner, & Donald T. Lysle. (2018). Chemogenetic Manipulation of Dorsal Hippocampal Astrocytes Protects Against the Development of Stress-enhanced Fear Learning. Neuroscience. 388. 45–56. 38 indexed citations
13.
Doremus‐Fitzwater, Tamara L., et al.. (2018). Differential effects of acute versus chronic stress on ethanol sensitivity: Evidence for interactions on both behavioral and neuroimmune outcomes. Brain Behavior and Immunity. 70. 141–156. 20 indexed citations
14.
Paniccia, Jacqueline E., et al.. (2018). Dorsal hippocampal neural immune signaling regulates heroin-conditioned immunomodulation but not heroin-conditioned place preference. Brain Behavior and Immunity. 73. 698–707. 9 indexed citations
15.
Jones, Meghan, et al.. (2017). Hippocampal interleukin-1 mediates stress-enhanced fear learning: A potential role for astrocyte-derived interleukin-1β. Brain Behavior and Immunity. 67. 355–363. 54 indexed citations
16.
Doremus‐Fitzwater, Tamara L., Anny Gano, Jacqueline E. Paniccia, & Terrence Deak. (2015). Male adolescent rats display blunted cytokine responses in the CNS after acute ethanol or lipopolysaccharide exposure. Physiology & Behavior. 148. 131–144. 73 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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