Amanda M. Wunsch

1.5k total citations
18 papers, 1.1k citations indexed

About

Amanda M. Wunsch is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Amanda M. Wunsch has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Amanda M. Wunsch's work include Neuroscience and Neuropharmacology Research (10 papers), Neurotransmitter Receptor Influence on Behavior (10 papers) and Ion Transport and Channel Regulation (6 papers). Amanda M. Wunsch is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Neurotransmitter Receptor Influence on Behavior (10 papers) and Ion Transport and Channel Regulation (6 papers). Amanda M. Wunsch collaborates with scholars based in United States, Bulgaria and Argentina. Amanda M. Wunsch's co-authors include Susan M. Ferguson, Lindsay M. Yager, John A. Wemmie, Jason E. Allen, Adam Ziemann, Michael J. Welsh, Nader S. Dahdaleh, Cynthia Lynch, Matthew A. Howard and Frank M. Faraci and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Amanda M. Wunsch

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amanda M. Wunsch United States 13 559 414 253 170 108 18 1.1k
Antonio Ferragud United States 18 360 0.6× 647 1.6× 229 0.9× 127 0.7× 80 0.7× 26 1.0k
James R. Shoblock United States 16 394 0.7× 539 1.3× 301 1.2× 232 1.4× 82 0.8× 23 1.1k
Siobhan Robinson United States 17 454 0.8× 975 2.4× 516 2.0× 122 0.7× 135 1.3× 33 1.6k
Megumi Aita Japan 13 503 0.9× 725 1.8× 302 1.2× 270 1.6× 121 1.1× 22 1.2k
Masahiro Shibasaki Japan 21 496 0.9× 753 1.8× 267 1.1× 61 0.4× 116 1.1× 75 1.4k
Olga Vekovischeva Finland 18 400 0.7× 734 1.8× 257 1.0× 60 0.4× 154 1.4× 36 1.0k
Clara Velázquez-Sánchez Spain 16 287 0.5× 577 1.4× 204 0.8× 133 0.8× 69 0.6× 21 892
Flavia Carreño United States 20 214 0.4× 281 0.7× 276 1.1× 249 1.5× 114 1.1× 29 1.1k
Kelly A. Allers Germany 21 285 0.5× 663 1.6× 332 1.3× 103 0.6× 144 1.3× 40 1.5k
Katerina Zavitsanou Australia 25 472 0.8× 921 2.2× 307 1.2× 239 1.4× 207 1.9× 48 1.8k

Countries citing papers authored by Amanda M. Wunsch

Since Specialization
Citations

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

Fields of papers citing papers by Amanda M. Wunsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda M. Wunsch

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

All Works

18 of 18 papers shown
1.
2.
Wunsch, Amanda M., et al.. (2024). Retinoic acid-mediated homeostatic plasticity in the nucleus accumbens core contributes to incubation of cocaine craving. Psychopharmacology. 241(10). 1983–2001. 7 indexed citations
3.
Weber, Sophia J., et al.. (2024). Dopamine transmission at D1 and D2 receptors in the nucleus accumbens contributes to the expression of incubation of cocaine craving. Neuropsychopharmacology. 50(2). 461–471. 6 indexed citations
4.
Wunsch, Amanda M., et al.. (2023). Persistent Neuroadaptations in the Nucleus Accumbens Core Accompany Incubation of Methamphetamine Craving in Male and Female Rats. eNeuro. 10(3). ENEURO.0480–22.2023. 16 indexed citations
5.
Christian, Daniel, Michael T. Stefanik, Linda A. Bean, et al.. (2021). GluN3-Containing NMDA Receptors in the Rat Nucleus Accumbens Core Contribute to Incubation of Cocaine Craving. Journal of Neuroscience. 41(39). 8262–8277. 23 indexed citations
6.
Taugher, Rebecca J., et al.. (2021). Post-acquisition CO2 Inhalation Enhances Fear Memory and Depends on ASIC1A. Frontiers in Behavioral Neuroscience. 15. 767426–767426. 3 indexed citations
7.
Wunsch, Amanda M., et al.. (2017). Chemogenetic inhibition reveals midline thalamic nuclei and thalamo‐accumbens projections mediate cocaine‐seeking in rats. European Journal of Neuroscience. 46(3). 1850–1862. 16 indexed citations
8.
Yager, Lindsay M., et al.. (2015). The ins and outs of the striatum: Role in drug addiction. Neuroscience. 301. 529–541. 305 indexed citations
9.
Kerstetter, Kerry A., et al.. (2015). Corticostriatal Afferents Modulate Responsiveness to Psychostimulant Drugs and Drug-Associated Stimuli. Neuropsychopharmacology. 41(4). 1128–1137. 38 indexed citations
10.
Darvas, Martin, et al.. (2014). Dopamine dependency for acquisition and performance of Pavlovian conditioned response. Proceedings of the National Academy of Sciences. 111(7). 2764–2769. 42 indexed citations
11.
Stewart, Adele, Biswanath Maity, Amanda M. Wunsch, et al.. (2014). Regulator of G‐protein signaling 6 (RGS6) promotes anxiety and depression by attenuating serotonin‐mediated activation of the 5‐HT 1A receptor‐adenylyl cyclase axis. The FASEB Journal. 28(4). 1735–1744. 41 indexed citations
12.
Urbano, Francisco J., et al.. (2013). Acid-sensing ion channels 1a (ASIC1a) inhibit neuromuscular transmission in female mice. American Journal of Physiology-Cell Physiology. 306(4). C396–C406. 17 indexed citations
13.
Price, Margaret P., Jiehao Du, M. Schnizler, et al.. (2011). Expressing acid‐sensing ion channel 3 in the brain alters acid‐evoked currents and impairs fear conditioning. Genes Brain & Behavior. 10(4). 444–450. 20 indexed citations
14.
Render, James A., et al.. (2010). Histologic examination of the eye of acid-sensing ion channel 1a knockout mice.. PubMed. 2(1). 69–72. 5 indexed citations
15.
Wunsch, Amanda M., Jill M. Haenfler, Jason E. Allen, et al.. (2009). Acid-Sensing Ion Channel-1a in the Amygdala, a Novel Therapeutic Target in Depression-Related Behavior. Journal of Neuroscience. 29(17). 5381–5388. 133 indexed citations
16.
Ziemann, Adam, Jason E. Allen, Nader S. Dahdaleh, et al.. (2009). The Amygdala Is a Chemosensor that Detects Carbon Dioxide and Acidosis to Elicit Fear Behavior. Cell. 139(5). 1012–1021. 330 indexed citations
17.
Wunsch, Amanda M., Jill M. Haenfler, Jason E. Allen, et al.. (2008). Restoring Acid-Sensing Ion Channel-1a in the Amygdala of Knock-Out Mice Rescues Fear Memory But Not Unconditioned Fear Responses. Journal of Neuroscience. 28(51). 13738–13741. 69 indexed citations
18.
Drake, Christopher J., et al.. (1996). Distribution of connective tissue proteins during development and neovascularization of the epicardium. Cardiovascular Research. 31(supp1). E104–E115. 30 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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