Daniel S. Wheeler

826 total citations
38 papers, 585 citations indexed

About

Daniel S. Wheeler is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Daniel S. Wheeler has authored 38 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 26 papers in Cellular and Molecular Neuroscience and 11 papers in Behavioral Neuroscience. Recurrent topics in Daniel S. Wheeler's work include Memory and Neural Mechanisms (26 papers), Neuroscience and Neuropharmacology Research (18 papers) and Neurotransmitter Receptor Influence on Behavior (18 papers). Daniel S. Wheeler is often cited by papers focused on Memory and Neural Mechanisms (26 papers), Neuroscience and Neuropharmacology Research (18 papers) and Neurotransmitter Receptor Influence on Behavior (18 papers). Daniel S. Wheeler collaborates with scholars based in United States, Qatar and United Kingdom. Daniel S. Wheeler's co-authors include Peter C. Holland, Ralph R. Miller, Stephen E. Chang, Robert Wheeler, Patricia S. Grigson, Mykel A. Robble, John R. Mantsch, Hongjoo J. Lee, Robert Wheeler and Steven C. Stout and has published in prestigious journals such as Journal of Neuroscience, Biological Psychiatry and Brain Research.

In The Last Decade

Daniel S. Wheeler

38 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel S. Wheeler United States 16 352 351 149 107 102 38 585
Shauna L. Parkes France 14 323 0.9× 374 1.1× 86 0.6× 109 1.0× 136 1.3× 24 623
Josephine E. Haddon United Kingdom 12 239 0.7× 371 1.1× 90 0.6× 58 0.5× 114 1.1× 19 514
Jeffrey C. Wingard United States 8 217 0.6× 362 1.0× 129 0.9× 114 1.1× 166 1.6× 8 609
Jamie G. Bunce United States 14 373 1.1× 457 1.3× 92 0.6× 63 0.6× 44 0.4× 17 678
Venuz Y. Greenfield United States 12 431 1.2× 404 1.2× 241 1.6× 115 1.1× 73 0.7× 13 695
Mathieu M. Albasser United Kingdom 17 614 1.7× 729 2.1× 92 0.6× 146 1.4× 114 1.1× 19 982
Charlotte R. Flavell United Kingdom 13 258 0.7× 337 1.0× 258 1.7× 109 1.0× 145 1.4× 16 673
Martha Hvoslef‐Eide United Kingdom 11 289 0.8× 405 1.2× 130 0.9× 115 1.1× 95 0.9× 14 726
Phillip M. Baker United States 15 445 1.3× 353 1.0× 169 1.1× 89 0.8× 50 0.5× 22 709
Caleb J. Browne United States 16 322 0.9× 117 0.3× 249 1.7× 88 0.8× 106 1.0× 32 671

Countries citing papers authored by Daniel S. Wheeler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Wheeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Wheeler. 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 Daniel S. Wheeler. The network helps show where Daniel S. Wheeler may publish in the future.

Co-authorship network of co-authors of Daniel S. Wheeler

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Wheeler. A scholar is included among the top collaborators of Daniel S. Wheeler 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 Daniel S. Wheeler. Daniel S. Wheeler 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
1.
Wheeler, Daniel S., et al.. (2025). Aversion-induced dopamine reductions predict drug-taking and escape behaviors. Neuropsychopharmacology. 50(9). 1376–1384. 1 indexed citations
2.
Caccamise, Aaron, et al.. (2021). Chronic Stress Prevents Cortico-Accumbens Cue Encoding and Alters Conditioned Approach. Journal of Neuroscience. 41(11). 2428–2436. 7 indexed citations
3.
Robble, Mykel A., et al.. (2020). Learned avoidance requires VTA KOR-mediated reductions in dopamine. Neuropharmacology. 167. 107996–107996. 13 indexed citations
4.
Wheeler, Daniel S., et al.. (2017). Corticosterone regulates both naturally occurring and cocaine‐induced dopamine signaling by selectively decreasing dopamine uptake. European Journal of Neuroscience. 46(10). 2638–2646. 29 indexed citations
5.
Wheeler, Daniel S., et al.. (2016). The neural encoding of cocaine-induced devaluation in the ventral pallidum. Neurobiology of Learning and Memory. 130. 177–184. 5 indexed citations
6.
Wang, Zimei, et al.. (2016). Optogenetic Interrogation of Functional Synapse Formation by Corticospinal Tract Axons in the Injured Spinal Cord. Journal of Neuroscience. 36(21). 5877–5890. 40 indexed citations
7.
Wheeler, Daniel S., et al.. (2015). Drug Predictive Cues Activate Aversion-Sensitive Striatal Neurons That Encode Drug Seeking. Journal of Neuroscience. 35(18). 7215–7225. 15 indexed citations
8.
Twining, Robert C., et al.. (2014). Aversive Stimuli Drive Drug Seeking in a State of Low Dopamine Tone. Biological Psychiatry. 77(10). 895–902. 45 indexed citations
9.
Chang, Stephen E., Daniel S. Wheeler, & Peter C. Holland. (2012). Roles of nucleus accumbens and basolateral amygdala in autoshaped lever pressing. Neurobiology of Learning and Memory. 97(4). 441–451. 57 indexed citations
10.
Lee, Hongjoo J., Daniel S. Wheeler, & Peter C. Holland. (2011). Interactions between amygdala central nucleus and the ventral tegmental area in the acquisition of conditioned cue-directed behavior in rats. European Journal of Neuroscience. 33(10). 1876–1884. 26 indexed citations
11.
Koh, Ming Teng, Daniel S. Wheeler, & Michela Gallagher. (2009). Hippocampal lesions interfere with long-trace taste aversion conditioning. Physiology & Behavior. 98(1-2). 103–107. 21 indexed citations
12.
Wheeler, Daniel S., Tom Beckers, & Richard R. Miller. (2008). The effect of subadditive pretraining on blocking: Limits on generalization. Learning & Behavior. 36(4). 341–351. 15 indexed citations
13.
Wheeler, Daniel S. & Ralph R. Miller. (2008). Determinants of cue interactions. Behavioural Processes. 78(2). 191–203. 22 indexed citations
14.
Wheeler, Daniel S. & Ralph R. Miller. (2007). Interactions between retroactive-interference and context-mediated treatments that impair Pavlovian conditioned responding. Animal Learning & Behavior. 35(1). 27–35. 3 indexed citations
15.
Wheeler, Daniel S. & Ralph R. Miller. (2007). Contrasting reduced overshadowing and blocking.. Journal of Experimental Psychology Animal Behavior Processes. 33(3). 349–359. 6 indexed citations
16.
Lipatova, Olga, Daniel S. Wheeler, Miguel A. Vadillo, & Ralph R. Miller. (2006). Recency-to-primacy shift in cue competition.. Journal of Experimental Psychology Animal Behavior Processes. 32(4). 396–406. 12 indexed citations
17.
Wheeler, Daniel S. & Ralph R. Miller. (2005). Recovery from blocking between outcomes.. Journal of Experimental Psychology Animal Behavior Processes. 31(4). 467–476. 3 indexed citations
18.
Urushihara, Kouji, Daniel S. Wheeler, Oskar Pineño, & Ralph R. Miller. (2005). An Extended Comparator Hypothesis Account of Superconditioning.. Journal of Experimental Psychology Animal Behavior Processes. 31(2). 184–198. 13 indexed citations
19.
Urushihara, Kouji, Daniel S. Wheeler, & Ralph R. Miller. (2004). Outcome Pre- and Postexposure Effects: Retention Interval Interacts With Primacy and Recency.. Journal of Experimental Psychology Animal Behavior Processes. 30(4). 283–298. 15 indexed citations
20.
Wheeler, Daniel S., Raymond Chuen‐Chung Chang, & Ralph R. Miller. (2003). Massive preexposure and preexposure in multiple contexts attenuate the context specificity of latent inhibition. Learning & Behavior. 31(4). 378–386. 9 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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