Leslie R. Whitaker

1.4k total citations
17 papers, 931 citations indexed

About

Leslie R. Whitaker is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Leslie R. Whitaker has authored 17 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 11 papers in Cognitive Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Leslie R. Whitaker's work include Memory and Neural Mechanisms (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neurotransmitter Receptor Influence on Behavior (7 papers). Leslie R. Whitaker is often cited by papers focused on Memory and Neural Mechanisms (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neurotransmitter Receptor Influence on Behavior (7 papers). Leslie R. Whitaker collaborates with scholars based in United States, Australia and Italy. Leslie R. Whitaker's co-authors include Hitoshi Morikawa, Bruce T. Hope, Yavin Shaham, Mickaël Degoulet, Jennifer M. Bossert, Brandon L. Warren, Nathan J. Marchant, Brandon K. Harvey, Daniele Caprioli and Marco Vènniro and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Leslie R. Whitaker

17 papers receiving 919 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leslie R. Whitaker United States	16	648	464	290	158	107	17	931
E. Zayra Millan Australia	17	558 0.9×	529 1.1×	211 0.7×	131 0.8×	126 1.2×	21	919
Carlos A. Mejías-Aponte United States	15	815 1.3×	400 0.9×	423 1.5×	113 0.7×	84 0.8×	18	1.2k
Shruti Muralidhar United States	6	436 0.7×	382 0.8×	172 0.6×	102 0.6×	86 0.8×	8	684
Reed L. Ressler United States	13	536 0.8×	486 1.0×	195 0.7×	176 1.1×	148 1.4×	14	802
Congping Shang China	11	439 0.7×	436 0.9×	230 0.8×	149 0.9×	60 0.6×	13	862
Lauren Faget United States	16	876 1.4×	376 0.8×	527 1.8×	119 0.8×	69 0.6×	23	1.1k
Mariano Soiza‐Reilly Argentina	16	623 1.0×	255 0.5×	308 1.1×	172 1.1×	130 1.2×	30	910
Teemu Aitta‐aho Finland	15	445 0.7×	297 0.6×	250 0.9×	118 0.7×	75 0.7×	32	758
Peter A. Groblewski United States	13	631 1.0×	371 0.8×	272 0.9×	73 0.5×	60 0.6×	18	853
Faïza Benaliouad Canada	6	506 0.8×	289 0.6×	226 0.8×	93 0.6×	64 0.6×	8	686

Countries citing papers authored by Leslie R. Whitaker

Since Specialization

Citations

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

Fields of papers citing papers by Leslie R. Whitaker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leslie R. Whitaker. 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 Leslie R. Whitaker. The network helps show where Leslie R. Whitaker may publish in the future.

Co-authorship network of co-authors of Leslie R. Whitaker

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

All Works

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17 of 17 papers shown

Warren, Brandon L., Marco Vènniro, Rajtarun Madangopal, et al.. (2019). Separate vmPFC Ensembles Control Cocaine Self-Administration Versus Extinction in Rats. Journal of Neuroscience. 39(37). 7394–7407. 58 indexed citations

Gardner, Matthew, et al.. (2018). Medial orbitofrontal inactivation does not affect economic choice. eLife. 7. 28 indexed citations

Whitaker, Leslie R. & Bruce T. Hope. (2018). Chasing the addicted engram: identifying functional alterations in Fos-expressing neuronal ensembles that mediate drug-related learned behavior. Learning & Memory. 25(9). 455–460. 29 indexed citations

Chang, Chun Yun, et al.. (2018). Brief, But Not Prolonged, Pauses in the Firing of Midbrain Dopamine Neurons Are Sufficient to Produce a Conditioned Inhibitor. Journal of Neuroscience. 38(41). 8822–8830. 22 indexed citations

Whitaker, Leslie R., Brandon L. Warren, Marco Vènniro, et al.. (2017). Bidirectional Modulation of Intrinsic Excitability in Rat Prelimbic Cortex Neuronal Ensembles and Non-Ensembles after Operant Learning. Journal of Neuroscience. 37(36). 8845–8856. 37 indexed citations

Vènniro, Marco, Daniele Caprioli, Michelle Zhang, et al.. (2017). The Anterior Insular Cortex→Central Amygdala Glutamatergic Pathway Is Critical to Relapse after Contingency Management. Neuron. 96(2). 414–427.e8. 120 indexed citations

Richie, Christopher T., Leslie R. Whitaker, Keith W. Whitaker, et al.. (2017). Near-infrared fluorescent protein iRFP713 as a reporter protein for optogenetic vectors, a transgenic Cre-reporter rat, and other neuronal studies. Journal of Neuroscience Methods. 284. 1–14. 20 indexed citations

Sharpe, Melissa J., Nathan J. Marchant, Leslie R. Whitaker, et al.. (2017). Lateral Hypothalamic GABAergic Neurons Encode Reward Predictions that Are Relayed to the Ventral Tegmental Area to Regulate Learning. Current Biology. 27(14). 2089–2100.e5. 90 indexed citations

Whitaker, Leslie R. & Bruce T. Hope. (2017). Neural Mechanisms of Addiction. Oxford University Press eBooks. 1 indexed citations

10.

Marchant, Nathan J., Erin J. Campbell, Leslie R. Whitaker, et al.. (2016). Role of Ventral Subiculum in Context-Induced Relapse to Alcohol Seeking after Punishment-Imposed Abstinence. Journal of Neuroscience. 36(11). 3281–3294. 90 indexed citations

11.

Warren, Brandon L., Fábio C. Cruz, Rodrigo M. Leão, et al.. (2016). Distinct Fos-Expressing Neuronal Ensembles in the Ventromedial Prefrontal Cortex Mediate Food Reward and Extinction Memories. Journal of Neuroscience. 36(25). 6691–6703. 96 indexed citations

12.

Marchant, Nathan J., Leslie R. Whitaker, Jennifer M. Bossert, et al.. (2015). Behavioral and Physiological Effects of a Novel Kappa-Opioid Receptor-Based DREADD in Rats. Neuropsychopharmacology. 41(2). 402–409. 51 indexed citations

13.

Whitaker, Leslie R., et al.. (2015). Associative Learning Drives the Formation of Silent Synapses in Neuronal Ensembles of the Nucleus Accumbens. Biological Psychiatry. 80(3). 246–256. 33 indexed citations

14.

Henderson, Mark J., Christopher A. Werley, Leslie R. Whitaker, et al.. (2015). A Low Affinity GCaMP3 Variant (GCaMPer) for Imaging the Endoplasmic Reticulum Calcium Store. PLoS ONE. 10(10). e0139273–e0139273. 52 indexed citations

15.

Whitaker, Leslie R., Mickaël Degoulet, & Hitoshi Morikawa. (2013). Social Deprivation Enhances VTA Synaptic Plasticity and Drug-Induced Contextual Learning. Neuron. 77(2). 335–345. 130 indexed citations

16.

Bernier, Brian E., Leslie R. Whitaker, & Hitoshi Morikawa. (2011). Previous Ethanol Experience Enhances Synaptic Plasticity of NMDA Receptors in the Ventral Tegmental Area. Journal of Neuroscience. 31(14). 5205–5212. 48 indexed citations

17.

Anton, Peter A., J O’Connell, Daniel J. O’Connell, et al.. (1998). Mucosal subepithelial binding sites for the bacterial chemotactic peptide, formyl-methionyl-leucyl-phenylalanine (FMLP). Gut. 42(3). 374–379. 26 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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