World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
43
Citations
8369
World Ranking
7350
National Ranking
3176

Qing-song Liu 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 Qing-song Liu 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: 85 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Qing-song Liu 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 Qing-song Liu 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: 43 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Qing-song Liu is affiliated with the Medical College of Wisconsin in the United States. Their research focuses primarily on neuroscience, with 53 publications in this field. Within neuroscience, their work spans several subfields including cellular and molecular neuroscience, cognitive neuroscience, molecular biology, neurology, and physiology.

Their main topics of study include:

  • Neuroscience and Neuropharmacology Research
  • Neurotransmitter Receptor Influence on Behavior
  • Memory and Neural Mechanisms
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Receptor Mechanisms and Signaling
  • Cannabis and Cannabinoid Research
  • Neural dynamics and brain function

Qing-song Liu has contributed to scientific literature published predominantly in the following venues:

  • Cells
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Molecular Psychiatry
  • Neuropsychopharmacology
  • Translational Psychiatry

Notable recent papers authored by or involving Qing-song Liu include:

  • "Treadmill Exercise Prevents Decline in Spatial Learning and Memory in 3×Tg-AD Mice through Enhancement of Structural Synaptic Plasticity of the Hippocampus and Prefrontal Cortex", 2022, Cells
  • "Dynamic Characterization of Structural, Molecular, and Electrophysiological Phenotypes of Human-Induced Pluripotent Stem Cell-Derived Cerebral Organoids, and Comparison with Fetal and Adult Gene Profiles", 2020, Cells
  • "Role of endocannabinoid signaling in a septohabenular pathway in the regulation of anxiety- and depressive-like behavior", 2020, Molecular Psychiatry
  • "Sex, stress, and prefrontal cortex: influence of biological sex on stress-promoted cocaine seeking", 2020, Neuropsychopharmacology
  • "The Neuroprotective Effects of the CB2 Agonist GW842166x in the 6-OHDA Mouse Model of Parkinson's Disease", 2021, Cells

The scientist frequently collaborates with several coauthors, including:

  • Xiaojie Liu
  • Lianwei Mu
  • Vladislav Friedman
  • Thomas J. Kelly
  • Hao Yu

Best Publications

  • Signaling at the Gliovascular Interface

    Marie Simard;Gregory Arcuino;Takahiro Takano;Qing Song Liu

  • Chronic monoacylglycerol lipase blockade causes functional antagonism of the endocannabinoid system

    Joel E Schlosburg;Jacqueline L Blankman;Jonathan Z Long;Daniel K Nomura

  • P2X7 receptor inhibition improves recovery after spinal cord injury.

    Xiaohai Wang;Gregory Arcuino;Takahiro Takano;Jane Lin

  • Acute Cannabinoids Impair Working Memory through Astroglial CB1 Receptor Modulation of Hippocampal LTD

    Jing Han;Philip Kesner;Mathilde Metna-Laurent;Mathilde Metna-Laurent;Tingting Duan;Tingting Duan

  • β-Amyloid peptide blocks the response of α7-containing nicotinic receptors on hippocampal neurons

    Qing-song Liu;Hideki Kawai;Darwin K. Berg

  • Recruitment of prefrontal cortical endocannabinoid signaling by glucocorticoids contributes to termination of the stress response.

    Matthew N. Hill;Ryan J. McLaughlin;Bin Pan;Megan L. Fitzgerald

  • Repeated cocaine exposure in vivo facilitates LTP induction in midbrain dopamine neurons

    Qing-song Liu;Lu Pu;Mu-ming Poo

  • Astrocyte-mediated activation of neuronal kainate receptors

    Qing-song Liu;Qiwu Xu;Gregory Arcuino;Jian Kang

  • Blockade of 2-arachidonoylglycerol hydrolysis by selective monoacylglycerol lipase inhibitor 4-nitrophenyl 4-(dibenzo[d][1,3]dioxol-5-yl(hydroxy)methyl)piperidine-1-carboxylate (JZL184) Enhances retrograde endocannabinoid signaling

    Bin Pan;Wei Wang;Jonathan Z. Long;Dalong Sun

  • Rapid and profound rewiring of brain lipid signaling networks by acute diacylglycerol lipase inhibition

    Daisuke Ogasawara;Hui Deng;Andreu Viader;Marc P. Baggelaar

  • BDNF-dependent synaptic sensitization in midbrain dopamine neurons after cocaine withdrawal

    Lu Pu;Qing-song Liu;Mu-ming Poo

  • D2 dopamine receptor activation facilitates endocannabinoid-mediated long-term synaptic depression of GABAergic synaptic transmission in midbrain dopamine neurons via cAMP-protein kinase A signaling.

    Bin Pan;Cecilia J. Hillard;Qing-song Liu

  • Alterations of Endocannabinoid Signaling, Synaptic Plasticity, Learning, and Memory in Monoacylglycerol Lipase Knock-out Mice

    Bin Pan;Wei Wang;Peng Zhong;Jacqueline L. Blankman

  • Endocannabinoid Signaling Mediates Cocaine-Induced Inhibitory Synaptic Plasticity in Midbrain Dopamine Neurons

    Bin Pan;Cecilia J. Hillard;Qing-song Liu

  • Nicotinic regulation of CREB activation in hippocampal neurons by glutamatergic and nonglutamatergic pathways.

    Mei Hu;Qing-song Liu;Karen T Chang;Darwin K Berg

  • Metabolic Interplay between Astrocytes and Neurons Regulates Endocannabinoid Action.

    Andreu Viader;Jacqueline L. Blankman;Peng Zhong;Xiaojie Liu

  • Monoacylglycerol Lipase Inhibition Blocks Chronic Stress-Induced Depressive-Like Behaviors via Activation of mTOR Signaling

    Peng Zhong;Wei Wang;Wei Wang;Bin Pan;Xiaojie Liu

  • Deficiency in Endocannabinoid Signaling in the Nucleus Accumbens Induced by Chronic Unpredictable Stress

    Wei Wang;Dalong Sun;Dalong Sun;Bin Pan;Christopher J Roberts

  • Nitric oxide inhibits neuronal activity in the supraoptic nucleus of the rat hypothalamic slices.

    Qing-Song Liu;You-Sheng Jia;Gong Ju

  • Treadmill Exercise Prevents Decline in Spatial Learning and Memory in 3×Tg-AD Mice through Enhancement of Structural Synaptic Plasticity of the Hippocampus and Prefrontal Cortex

    Unknown

  • Astrocyte activation of presynaptic metabotropic glutamate receptors modulates hippocampal inhibitory synaptic transmission.

    Qing-Song Liu;Qiwu Xu;Jian Kang

  • D2 dopamine receptor involvement in spinal dopamine-produced antinociception.

    Qing-Song Liu;Jian-Tian Qiao;Nachum Dafny

Frequent Co-Authors

Benjamin F. Cravatt
Benjamin F. Cravatt Scripps Research Institute
Cecilia J. Hillard
Cecilia J. Hillard Medical College of Wisconsin
Darwin K. Berg
Darwin K. Berg University of California, San Diego
Aron H. Lichtman
Aron H. Lichtman Virginia Commonwealth University
Djoher Nora Abrous
Djoher Nora Abrous University of Bordeaux
Takahiro Takano
Takahiro Takano University of Rochester
Steven A. Goldman
Steven A. Goldman University of Rochester Medical Center
Mu-ming Poo
Mu-ming Poo Chinese Academy of Sciences
Youming Lu
Youming Lu Huazhong University of Science and Technology

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