Jacqueline E. Paniccia

430 citations
16 papers · 306 · h-index 10

Impact in

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 12
    • Neuroscience and Neuropharmacology Research 8
    • Neuropeptides and Animal Physiology 2
    • Neurotransmitter Receptor Influence on Behavior 2

Jacqueline E. Paniccia

16 papers receiving 305 citations

Peers

Jacqueline E. Paniccia
Comparison fields: 5 of 53
  • Biological Psychiatry 92
  • Behavioral Neuroscience 103
  • Neurology 131
  • Cellular and Molecular Neuroscience 120
  • Developmental Neuroscience 22
Replace Cristina Mota with:
Cristina Mota Portugal
Danielle M. Osborne United States
Mark D. Namba United States
Hiram Tendilla‐Beltrán Mexico
Fernanda F. Gava Brazil
Madeline B. Mariani United States
Vasco C. Sousa Sweden
Elaine K. Hebda‐Bauer United States
Leonardo Santana Novaes Brazil
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Citations per field
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Citations per year

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-authors

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

All Works

16 of 16 papers shown
#Work
1 201573
2 201754
3 201838
4 202224
5 202121
6 201820
7 202118
8 202313
9 202013
10 20189
11 20226
12 20226
13 20205
14 20203
15 20242
16 20251

About Jacqueline E. Paniccia

Jacqueline E. Paniccia is a scholar working on Neurology, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Biological Psychiatry and Molecular Biology, having authored 16 papers that have together received 306 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Stress Responses and Cortisol (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Tryptophan and brain disorders (6 papers), Receptor Mechanisms and Signaling (3 papers), Neuropeptides and Animal Physiology (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Biological Psychiatry (92 citations), Behavioral Neuroscience (103 citations), Neurology (131 citations), Cellular and Molecular Neuroscience (120 citations) and Developmental Neuroscience (22 citations). Jacqueline E. Paniccia has collaborated with scholars based in United States and Japan. Frequent 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 Michael Armstrong. Their work appears in journals such as Brain Behavior and Immunity, Psychopharmacology, Experimental Neurology, Computational and Structural Biotechnology Journal and Neuroscience.

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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