World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
39
Citations
5750
World Ranking
8351
National Ranking
3567

Geoffrey G. Murphy 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 Geoffrey G. Murphy 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: 97 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Geoffrey G. Murphy 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 Geoffrey G. Murphy 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: 39 D-Index — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Overview

Geoffrey G. Murphy is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily spans the fields of Neuroscience and Biochemistry, Genetics and Molecular Biology. Within these domains, they focus on several subfields, including Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Physiology, and Cognitive Neuroscience.

Their work engages with a range of topics such as Neuroscience and Neuropharmacology Research, Pluripotent Stem Cells Research, Neuroinflammation and Neurodegeneration Mechanisms, Receptor Mechanisms and Signaling, Alzheimer's disease research and treatments, Neurotransmitter Receptor Influence on Behavior, and Neuroscience and Neural Engineering.

Among their recent published papers are:

  • "Deriving early single-rosette brain organoids from human pluripotent stem cells," 2023, Stem Cell Reports
  • "Rational affinity maturation of anti-amyloid antibodies with high conformational and sequence specificity," 2021, Journal of Biological Chemistry
  • "Modeling UBQLN2-mediated neurodegenerative disease in mice: Shared and divergent properties of wild type and mutant UBQLN2 in phase separation, subcellular localization, altered proteostasis pathways, and selective cytotoxicity," 2020, Neurobiology of Disease
  • "The role of L-type calcium channels in neuronal excitability and aging," 2020, Neurobiology of Learning and Memory
  • "Multimodal Analysis of STRADA Function in Brain Development," 2020, Frontiers in Cellular Neuroscience

Frequent co-authors in their work include Shannon J. Moore, Rachel Parent, Emily Glass, Eva L. Feldman, and John M. Hayes. This suggests ongoing collaborative efforts in their research endeavors.

Geoffrey G. Murphy has contributed to various publication venues, with repeated publications in bioRxiv (Cold Spring Harbor Laboratory), Alzheimer's & Dementia, Neurobiology of Stress, Stem Cell Reports, and the Journal of Biological Chemistry.

Best Publications

  • Mechanism for the learning deficits in a mouse model of neurofibromatosis type 1

    Rui M. Costa;Nikolai B. Federov;Jeff H. Kogan;Geoffrey G. Murphy

  • Selective cognitive dysfunction in acetylcholine M1 muscarinic receptor mutant mice.

    Stephan G. Anagnostaras;Geoffrey G. Murphy;Susan E. Hamilton;Scott L. Mitchell

  • Neurofibromin Regulation of ERK Signaling Modulates GABA Release and Learning

    Yijun Cui;Rui M. Costa;Rui M. Costa;Geoffrey G. Murphy;Geoffrey G. Murphy;Ype Elgersma;Ype Elgersma

  • Modulation of Presynaptic Plasticity and Learning by the H-ras/Extracellular Signal-Regulated Kinase/Synapsin I Signaling Pathway

    Steven A. Kushner;Ype Elgersma;Ype Elgersma;Geoffrey G. Murphy;Dick Jaarsma

  • Mediation of Classical Conditioning in Aplysia californica by Long-Term Potentiation of Sensorimotor Synapses

    Geoffrey G. Murphy;David L. Glanzman

  • Convulsive seizures and SUDEP in a mouse model of SCN8A epileptic encephalopathy

    Jacy L. Wagnon;Matthew J. Korn;Rachel Parent;Taylor A. Tarpey

  • Mechanisms and functional significance of aberrant seizure-induced hippocampal neurogenesis.

    Jack M. Parent;Geoffrey G. Murphy

  • Conditional forebrain deletion of the L-type calcium channel CaV1.2 disrupts remote spatial memories in mice

    Jessica A. White;Brandon C. McKinney;Manorama C. John;Patricia A. Powers

  • Human neural stem cell transplantation improves cognition in a murine model of Alzheimer’s disease

    Lisa M. McGinley;Osama N. Kashlan;Elizabeth S. Bruno;Kevin S. Chen

  • The L-Type voltage-gated calcium channel Cav1.3 mediates consolidation, but not extinction, of contextually conditioned fear in mice.

    Brandon C. McKinney;Geoffrey G. Murphy

  • Increased neuronal excitability, synaptic plasticity and learning in aged Kvβ1.1 knockout mice

    Geoffrey G. Murphy;Nikolai B. Fedorov;K.Peter Giese;Masuo Ohno

  • Compensatory network changes in the dentate gyrus restore long-term potentiation following ablation of neurogenesis in young-adult mice

    Benjamin H. Singer;Amy E. Gamelli;Cynthia L. Fuller;Stephanie J. Temme

  • Cecal Ligation and Puncture Results in Long-Term Central Nervous System Myeloid Inflammation

    Benjamin H. Singer;Michael W. Newstead;Xianying Zeng;Christopher L. Cooke

  • Iron overload decreases CaV1.3-dependent L-type Ca2+ currents leading to bradycardia, altered electrical conduction, and atrial fibrillation.

    Robert A. Rose;Michael Sellan;Jeremy A. Simpson;Farzad Izaddoustdar

  • Conditional Deletion of the L-Type Calcium Channel Cav1.2 in Oligodendrocyte Progenitor Cells Affects Postnatal Myelination in Mice

    Veronica T. Cheli;Diara A. Santiago González;Tenzing Namgyal Lama;Vilma Spreuer

  • Enhancement of sensorimotor connections by conditioning-related stimulation in Aplysia depends upon postsynaptic Ca2+

    Geoffrey G. Murphy;David L. Glanzman

  • Cellular analog of differential classical conditioning in Aplysia: disruption by the NMDA receptor antagonist DL-2-amino-5-phosphonovalerate.

    Geoffrey G. Murphy;David L. Glanzman

  • L‐type voltage‐operated calcium channels contribute to astrocyte activation In vitro

    Veronica T. Cheli;Diara A. Santiago González;Jessica Smith;Vilma Spreuer

  • Phosphorylation of Cav1.2 on S1928 uncouples the L-type Ca2+ channel from the β2 adrenergic receptor

    Tommaso Patriarchi;Hai Qian;Valentina Di Biase;Zulfiquar A. Malik;Zulfiquar A. Malik

  • Exaggerated emotional behavior in mice heterozygous null for the sodium channel Scn8a (Nav1.6).

    Brandon C. McKinney;Clement Y. Chow;Miriam H. Meisler;Geoffrey G. Murphy

  • Critical roles of αII spectrin in brain development and epileptic encephalopathy.

    Yu Wang;Tuo Ji;Andrew D. Nelson;Katarzyna Glanowska

  • Impaired long-term potentiation and enhanced neuronal excitability in the amygdala of CaV1.3 knockout mice

    Brandon C. McKinney;Wilson Sze;Benjamin Lee;Geoffrey G. Murphy;Geoffrey G. Murphy

  • Deletion of the Mouse Homolog of KCNAB2, a Gene Linked to Monosomy 1p36, Results in Associative Memory Impairments and Amygdala Hyperexcitability

    John J. Perkowski;Geoffrey G. Murphy

Frequent Co-Authors

Jack M. Parent
Jack M. Parent University of Michigan–Ann Arbor
Alcino J. Silva
Alcino J. Silva University of California, Los Angeles
Johannes W. Hell
Johannes W. Hell University of California, Davis
Henry L. Paulson
Henry L. Paulson University of Michigan–Ann Arbor
Ype Elgersma
Ype Elgersma Erasmus University Rotterdam
Rui M. Costa
Rui M. Costa Columbia University
Michael A. Sutton
Michael A. Sutton University of Michigan–Ann Arbor
David L. Glanzman
David L. Glanzman University of California, Los Angeles
Robert C. Thompson
Robert C. Thompson University of Michigan–Ann Arbor
Eva L. Feldman
Eva L. Feldman University of Michigan–Ann Arbor

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