Stephen V. Mahler

4.8k total citations
52 papers, 3.0k citations indexed

About

Stephen V. Mahler is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Stephen V. Mahler has authored 52 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cellular and Molecular Neuroscience, 15 papers in Molecular Biology and 13 papers in Cognitive Neuroscience. Recurrent topics in Stephen V. Mahler's work include Neurotransmitter Receptor Influence on Behavior (30 papers), Neuroscience and Neuropharmacology Research (21 papers) and Cannabis and Cannabinoid Research (12 papers). Stephen V. Mahler is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (30 papers), Neuroscience and Neuropharmacology Research (21 papers) and Cannabis and Cannabinoid Research (12 papers). Stephen V. Mahler collaborates with scholars based in United States, Italy and Canada. Stephen V. Mahler's co-authors include Gary Aston‐Jones, Kent Berridge, Kyle S. Smith, Morgan H. James, David E. Moorman, Rachel J. Smith, Harriet de Wit, Bryan W. Luikart, David J. Bucci and Tallie Z. Baram and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Stephen V. Mahler

50 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen V. Mahler United States 30 1.5k 1.3k 697 612 552 52 3.0k
Kyle S. Smith United States 22 1.7k 1.1× 1.6k 1.3× 507 0.7× 549 0.9× 364 0.7× 40 3.4k
Benjamin Boutrel Switzerland 29 1.5k 1.0× 1.7k 1.3× 1.3k 1.8× 774 1.3× 831 1.5× 41 3.4k
Daina Economidou Italy 29 2.5k 1.6× 1.0k 0.8× 376 0.5× 1.0k 1.7× 237 0.4× 34 3.2k
Dipesh Chaudhury United States 25 2.0k 1.3× 1.1k 0.9× 672 1.0× 986 1.6× 180 0.3× 39 3.6k
Mathieu E. Wimmer United States 22 1.0k 0.7× 1.6k 1.3× 1.1k 1.6× 678 1.1× 625 1.1× 50 3.0k
Jennifer L. Cornish Australia 37 2.4k 1.6× 749 0.6× 666 1.0× 951 1.6× 335 0.6× 93 4.0k
Susana Peciña United States 17 1.4k 0.9× 915 0.7× 656 0.9× 456 0.7× 237 0.4× 22 2.6k
Jim R. Fadel United States 35 1.0k 0.7× 1.7k 1.3× 1.2k 1.7× 538 0.9× 744 1.3× 74 3.0k
Brandon J. Aragona United States 31 1.9k 1.3× 1.1k 0.9× 369 0.5× 902 1.5× 798 1.4× 45 3.8k
William A. Truitt United States 25 758 0.5× 888 0.7× 690 1.0× 336 0.5× 511 0.9× 46 2.4k

Countries citing papers authored by Stephen V. Mahler

Since Specialization
Citations

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

Fields of papers citing papers by Stephen V. Mahler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen V. Mahler. 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 Stephen V. Mahler. The network helps show where Stephen V. Mahler may publish in the future.

Co-authorship network of co-authors of Stephen V. Mahler

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen V. Mahler. A scholar is included among the top collaborators of Stephen V. Mahler 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 Stephen V. Mahler. Stephen V. Mahler 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.
Mahler, Stephen V., et al.. (2025). Potential roles for microglia in drug addiction: Adolescent neurodevelopment and beyond. Journal of Neuroimmunology. 404. 578600–578600.
2.
Ruiz, Christina M., et al.. (2024). Adolescent THC impacts on mPFC dopamine-mediated cognitive processes in male and female rats. Psychopharmacology. 242(2). 309–326.
3.
Levis, S, Matthew T. Birnie, Noriko Kamei, et al.. (2024). Opioid drug seeking after early-life adversity: a role for delta opioid receptors. SHILAP Revista de lepidopterología. 13. 100175–100175. 1 indexed citations
4.
Ruiz, Christina M., et al.. (2023). A head-to-head comparison of two DREADD agonists for suppressing operant behavior in rats via VTA dopamine neuron inhibition. Psychopharmacology. 240(10). 2101–2110. 6 indexed citations
6.
Roy, Pritam, Lin Lin, Faizy Ahmed, et al.. (2022). Comparative Pharmacokinetics of Δ 9 -Tetrahydrocannabinol in Adolescent and Adult Male and Female Rats. Cannabis and Cannabinoid Research. 7(6). 814–826. 13 indexed citations
7.
Levis, S, et al.. (2022). Enduring disruption of reward and stress circuit activities by early-life adversity in male rats. Translational Psychiatry. 12(1). 251–251. 25 indexed citations
8.
Farrell, Mitchell R., et al.. (2022). Ventral pallidum GABA neurons bidirectionally control opioid relapse across rat behavioral models. SHILAP Revista de lepidopterología. 3. 100026–100026. 9 indexed citations
9.
Levis, S, Tallie Z. Baram, & Stephen V. Mahler. (2021). Neurodevelopmental origins of substance use disorders: Evidence from animal models of early‐life adversity and addiction. European Journal of Neuroscience. 55(9-10). 2170–2195. 42 indexed citations
10.
Bucci, David J., et al.. (2021). Dreadds: Use and application in behavioral neuroscience.. Behavioral Neuroscience. 135(2). 89–107. 15 indexed citations
11.
Farrell, Mitchell R., et al.. (2021). Ventral Pallidum GABA Neurons Mediate Motivation Underlying Risky Choice. Journal of Neuroscience. 41(20). 4500–4513. 33 indexed citations
12.
Ruiz, Christina M., et al.. (2020). Pharmacokinetic, behavioral, and brain activity effects of Δ9-tetrahydrocannabinol in adolescent male and female rats. Neuropsychopharmacology. 46(5). 959–969. 58 indexed citations
13.
Bolton, Jessica L., et al.. (2018). Early-life adversity facilitates acquisition of cocaine self-administration and induces persistent anhedonia. Neurobiology of Stress. 8. 57–67. 68 indexed citations
14.
Farrell, Mitchell R., Hannah Schoch, & Stephen V. Mahler. (2018). Modeling cocaine relapse in rodents: Behavioral considerations and circuit mechanisms. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 87(Pt A). 33–47. 59 indexed citations
15.
James, Morgan H., et al.. (2016). Prelimbic to Accumbens Core Pathway Is Recruited in a Dopamine-Dependent Manner to Drive Cued Reinstatement of Cocaine Seeking. Journal of Neuroscience. 36(33). 8700–8711. 103 indexed citations
16.
James, Morgan H., Stephen V. Mahler, David E. Moorman, & Gary Aston‐Jones. (2016). A Decade of Orexin/Hypocretin and Addiction: Where Are We Now?. Current topics in behavioral neurosciences. 33. 247–281. 142 indexed citations
17.
Mahler, Stephen V., Elena M. Vazey, Jacob T. Beckley, et al.. (2014). Designer receptors show role for ventral pallidum input to ventral tegmental area in cocaine seeking. Nature Neuroscience. 17(4). 577–585. 260 indexed citations
18.
Mahler, Stephen V., David E. Moorman, Matthew W. Feltenstein, et al.. (2012). A rodent “self-report” measure of methamphetamine craving? Rat ultrasonic vocalizations during methamphetamine self-administration, extinction, and reinstatement. Behavioural Brain Research. 236(1). 78–89. 50 indexed citations
19.
Acheson, Ashley, et al.. (2006). Differential effects of nicotine on alcohol consumption in men and women. Psychopharmacology. 186(1). 54–63. 68 indexed citations
20.
Mahler, Stephen V. & Harriet de Wit. (2005). Effects of haloperidol on reactions to smoking cues in humans. Behavioural Pharmacology. 16(2). 123–126. 21 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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