World's Best Scientists 2026 revealed!
Steven R. Laviolette

Steven R. Laviolette

D-Index & Metrics

Neuroscience

D-Index
50
Citations
7441
World Ranking
5824
National Ranking
340

Steven R. Laviolette publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Steven R. Laviolette sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 110 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Steven R. Laviolette D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Steven R. Laviolette sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 50 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Steven R. Laviolette is affiliated with the University of Western Ontario in Canada. Their research spans multiple fields primarily within medicine and neuroscience, with a strong emphasis on pharmacology and cellular and molecular neuroscience. The scientist has a substantial publication record focusing on subjects such as cannabis and cannabinoid research, birth and developmental health, and neuropharmacology.

Their work often addresses the effects of prenatal substance exposure and the influence of neurotransmitter receptors on behavior. Main topics covered in their research include:

  • Cannabis and Cannabinoid Research
  • Birth, Development, and Health
  • Neuroscience and Neuropharmacology Research
  • Neurotransmitter Receptor Influence on Behavior
  • Prenatal Substance Exposure Effects
  • Nicotinic Acetylcholine Receptors Study
  • Tryptophan and Brain Disorders

Laviolette frequently publishes in journals such as:

  • Cannabis and Cannabinoid Research
  • Neurobiology of Disease
  • Psychopharmacology
  • Scientific Reports
  • Molecular Psychiatry

Common co-authors include Walter J. Rushlow, Daniel B. Hardy, Hanna J. Szkudlarek, Kendrick Lee, and Marta De Felice, with whom they have collaborated multiple times.

Recent papers authored or co-authored by Laviolette include:

  • "Δ9-tetrahydrocannabinol exposure during rat pregnancy leads to symmetrical fetal growth restriction and labyrinth-specific vascular defects in the placenta" (2020, Scientific Reports)
  • "Prenatal Cannabinoid Exposure: Emerging Evidence of Physiological and Neuropsychiatric Abnormalities" (2021, Frontiers in Psychiatry)
  • "Maternal exposure to Δ9-tetrahydrocannabinol impairs female offspring glucose homeostasis and endocrine pancreatic development in the rat" (2020, Reproductive Toxicology)
  • "Molecular and neuronal mechanisms underlying the effects of adolescent nicotine exposure on anxiety and mood disorders" (2020, Neuropharmacology)
  • "Exposure to Δ9-tetrahydrocannabinol during rat pregnancy leads to impaired cardiac dysfunction in postnatal life" (2021, Pediatric Research)

Laviolette's research contributions span diverse subjects such as the impact of prenatal cannabinoid exposure on fetal and postnatal development, as well as the neurological and behavioral consequences of adolescent nicotine exposure. Their work integrates biological psychiatry perspectives to better understand receptor-level influences on brain disorders and developmental outcomes.

Best Publications

  • The neurobiology of nicotine addiction: bridging the gap from molecules to behaviour

    Steven R. Laviolette;Derek van der Kooy

  • DREAM Is a Critical Transcriptional Repressor for Pain Modulation

    Hai-Ying M. Cheng;Graham M. Pitcher;Steven R. Laviolette;Ian Q. Whishaw

  • A subpopulation of neurons in the medial prefrontal cortex encodes emotional learning with burst and frequency codes through a dopamine D4 receptor-dependent basolateral amygdala input.

    Steven R. Laviolette;Witold J. Lipski;Anthony A. Grace

  • Opiate state controls bi-directional reward signaling via GABAA receptors in the ventral tegmental area.

    Steven R Laviolette;Roger A Gallegos;Steven J Henriksen;Derek van der Kooy

  • Cannabinoids Potentiate Emotional Learning Plasticity in Neurons of the Medial Prefrontal Cortex through Basolateral Amygdala Inputs

    Steven R. Laviolette;Anthony A. Grace

  • Blockade of mesolimbic dopamine transmission dramatically increases sensitivity to the rewarding effects of nicotine in the ventral tegmental area.

    S R Laviolette;D van der Kooy

  • The roles of cannabinoid and dopamine receptor systems in neural emotional learning circuits: implications for schizophrenia and addiction

    S. R. Laviolette;A. A. Grace

  • Dopamine Modulation of Emotional Processing in Cortical and Subcortical Neural Circuits: Evidence for a Final Common Pathway in Schizophrenia?

    Steven R. Laviolette

  • The motivational valence of nicotine in the rat ventral tegmental area is switched from rewarding to aversive following blockade of the α7-subunit-containing nicotinic acetylcholine receptor

    Steven R. Laviolette;Derek van der Kooy

  • Natural and drug rewards act on common neural plasticity mechanisms with ΔFosB as a key mediator.

    Kyle K. Pitchers;Kyle K. Pitchers;Vincent Vialou;Eric J. Nestler;Steven R. Laviolette

  • GABAA receptors in the ventral tegmental area control bidirectional reward signalling between dopaminergic and non‐dopaminergic neural motivational systems

    Unknown

  • Motivational state determines the functional role of the mesolimbic dopamine system in the mediation of opiate reward processes.

    Steven R Laviolette;Karim Nader;Derek van der Kooy

  • Cannabidiol Counteracts Amphetamine-Induced Neuronal and Behavioral Sensitization of the Mesolimbic Dopamine Pathway through a Novel mTOR/p70S6 Kinase Signaling Pathway

    Justine Renard;Michael Loureiro;Laura G. Rosen;Jordan Zunder

  • Lesions of the Tegmental Pedunculopontine Nucleus Block the Rewarding Effects and Reveal the Aversive Effects of Nicotine in the Ventral Tegmental Area

    Steven R. Laviolette;Tania O. Alexson;Derek van der Kooy

  • Adolescent THC Exposure Causes Enduring Prefrontal Cortical Disruption of GABAergic Inhibition and Dysregulation of Sub-Cortical Dopamine Function

    Justine Renard;Hanna J. Szkudlarek;Cecilia P. Kramar;Christina E. L. Jobson

  • Adolescent Cannabinoid Exposure Induces a Persistent Sub-Cortical Hyper-Dopaminergic State and Associated Molecular Adaptations in the Prefrontal Cortex

    Justine Renard;Laura G. Rosen;Michael Loureiro;Cleusa De Oliveira

  • Cannabinoid transmission in the basolateral amygdala modulates fear memory formation via functional inputs to the prelimbic cortex.

    Huibing Tan;Nicole M Lauzon;Stephanie F Bishop;Ning Chi

  • Neuronal and molecular effects of cannabidiol on the mesolimbic dopamine system: Implications for novel schizophrenia treatments

    Justine Renard;Christopher Norris;Walter Rushlow;Steven R. Laviolette

  • Dopamine D1 versus D4 Receptors Differentially Modulate the Encoding of Salient versus Nonsalient Emotional Information in the Medial Prefrontal Cortex

    Nicole M Lauzon;Stephanie F Bishop;Steven R Laviolette

  • Locomotion and stereotypy induced by scopolamine: contributions of muscarinic receptors near the pedunculopontine tegmental nucleus.

    Anuradha Mathur;Anna Shandarin;Steven R LaViolette;Jayson Parker

  • Identification of a Dopamine Receptor-Mediated Opiate Reward Memory Switch in the Basolateral Amygdala–Nucleus Accumbens Circuit

    Alessandra Lintas;Ning Chi;Nicole M. Lauzon;Stephanie F. Bishop

Frequent Co-Authors

Derek van der Kooy
Derek van der Kooy University of Toronto
Lique M. Coolen
Lique M. Coolen Kent State University
Michael N. Lehman
Michael N. Lehman Kent State University
Josef M. Penninger
Josef M. Penninger University of British Columbia
John S. Yeomans
John S. Yeomans University of Toronto
Michael W. Salter
Michael W. Salter University of Toronto
Vincent Vialou
Vincent Vialou Sorbonne University
Ian Q. Whishaw
Ian Q. Whishaw University of Lethbridge
Brian L. Allman
Brian L. Allman University of Western Ontario
Olivier George
Olivier George University of California, San Diego

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