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Todd Charlton Sacktor

D-Index & Metrics

Neuroscience

D-Index
47
Citations
10599
World Ranking
6358
National Ranking
2770

Todd Charlton Sacktor 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 Todd Charlton Sacktor 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: 104 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Todd Charlton Sacktor 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 Todd Charlton Sacktor 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: 47 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Todd Charlton Sacktor is affiliated with SUNY Downstate Medical Center in the United States. Their research focuses primarily on neuroscience, with significant contributions to cellular and molecular neuroscience, cognitive neuroscience, cell biology, molecular biology, and neurology.

Their work extensively covers topics related to neuroscience and neuropharmacology research, memory and neural mechanisms, photoreceptor and optogenetics research, Alzheimer's disease research and treatments, autophagy in disease and therapy, cellular transport and secretion, and neuroinflammation and neurodegeneration mechanisms.

Recent publications by Sacktor include the following:

  • Persistent increases of PKMζ in memory-activated neurons trace LTP maintenance during spatial long-term memory storage, 2021, European Journal of Neuroscience
  • KIBRA anchoring the action of PKMζ maintains the persistence of memory, 2024, Science Advances
  • KIBRA repairs synaptic plasticity and promotes resilience to tauopathy-related memory loss, 2024, Journal of Clinical Investigation
  • Lifelong reductions of PKMζ in ventral hippocampus of nonhuman primates exposed to early-life adversity due to unpredictable maternal care, 2021, Learning & Memory
  • Conditions for Synaptic Specificity during the Maintenance Phase of Synaptic Plasticity, 2022, eNeuro

Sacktor's frequent coauthors include Changchi Hsieh, Panayiotis Tsokas, Rafael E. Flores-Obando, André A. Fenton, and Peter J. Bergold. They have collaborated with these researchers on several projects.

The scientist's research has been published in various venues, with recurring appearances in bioRxiv (Cold Spring Harbor Laboratory), Learning & Memory, Science Advances, European Journal of Neuroscience, and Journal of Clinical Investigation.

Best Publications

  • Storage of Spatial Information by the Maintenance Mechanism of LTP

    Eva Pastalkova;Peter Serrano;Deana Pinkhasova;Emma Wallace

  • How does PKMζ maintain long-term memory?

    Todd C. Sacktor

  • Persistent activation of the zeta isoform of protein kinase C in the maintenance of long-term potentiation

    Todd Charlton Sacktor;Pavel Osten;Helen Valsamis;Xiaolan Jiang

  • Protein kinase Mζ is necessary and sufficient for LTP maintenance

    Douglas S.F. Ling;Larry S. Benardo;Peter A. Serrano;Nancy Blace

  • Rapid Erasure of Long-Term Memory Associations in the Cortex by an Inhibitor of PKMζ

    Reut Shema;Todd Charlton Sacktor;Todd Charlton Sacktor;Yadin Dudai;Yadin Dudai

  • PKMζ maintains memories by regulating GluR2-dependent AMPA receptor trafficking

    Paola Virginia Migues;Oliver Hardt;Dong Chuan Wu;Karine Gamache

  • Protein kinase M zeta synthesis from a brain mRNA encoding an independent protein kinase C zeta catalytic domain. Implications for the molecular mechanism of memory.

    A.Ivan Hernandez;Nancy Blace;John F. Crary;Peter A. Serrano

  • PKMζ Maintains Spatial, Instrumental, and Classically Conditioned Long-Term Memories

    Peter Serrano;Eugenia L Friedman;Jana Kenney;Stephen M Taubenfeld

  • PKMζ Maintains Late Long-Term Potentiation by N-Ethylmaleimide-Sensitive Factor/GluR2-Dependent Trafficking of Postsynaptic AMPA Receptors

    Yudong Yao;Matthew Taylor Kelly;Sreedharan Sajikumar;Peter Serrano

  • PKMzeta, LTP maintenance, and the dynamic molecular biology of memory storage.

    Todd Charlton Sacktor

  • Persistent Phosphorylation by Protein Kinase Mζ Maintains Late-Phase Long-Term Potentiation

    Peter Serrano;Yudong Yao;Todd Charlton Sacktor

  • Postsynaptic degeneration as revealed by PSD-95 reduction occurs after advanced Aβ and tau pathology in transgenic mouse models of Alzheimer’s disease

    Charles Y. Shao;Suzanne S. Mirra;Hameetha B. R. Sait;Todd C. Sacktor

  • Synaptic Tagging and Cross-Tagging: The Role of Protein Kinase Mζ in Maintaining Long-Term Potentiation But Not Long-Term Depression

    Sreedharan Sajikumar;Sheeja Navakkode;Todd Charlton Sacktor;Julietta Uta Frey

  • PROTEIN SYNTHESIS-DEPENDENT FORMATION OF PROTEIN KINASE MZETA IN LONG-TERM POTENTIATION

    P Osten;L Valsamis;A Harris;TC Sacktor

  • Bidirectional Regulation of Protein Kinase Mζ in the Maintenance of Long-Term Potentiation and Long-Term Depression

    Sabina Hrabetova;Todd Charlton Sacktor

  • Long-term potentiation decay and memory loss are mediated by AMPAR endocytosis

    Zhifang Dong;Huili Han;Hongjie Li;Yanrui Bai

  • Enhancement of Consolidated Long-Term Memory by Overexpression of Protein Kinase Mζ in the Neocortex

    Reut Shema;Sharon Haramati;Shiri Ron;Shoshi Hazvi

  • Memory enhancement and formation by atypical PKM activity in Drosophila melanogaster.

    Eric A. Drier;Marcela K. Tello;Marcela K. Tello;Maureen Cowan;Priscilla Wu

  • Distinct NMDA Receptor Subpopulations Contribute to Long-Term Potentiation and Long-Term Depression Induction

    Sabina Hrabetova;Peter Serrano;Nancy Blace;Heong W. Tse

  • Compensation for PKMζ in long-term potentiation and spatial long-term memory in mutant mice.

    Panayiotis Tsokas;Changchi Hsieh;Yudong Yao;Edith Lesburguères

  • Regulation of protein kinase Mζ synthesis by multiple kinases in long-term potentiation

    Matthew Taylor Kelly;John Fonda Crary;Todd Charlton Sacktor

Frequent Co-Authors

André A. Fenton
André A. Fenton New York University
Pavel Osten
Pavel Osten Cold Spring Harbor Laboratory
Bong-Kiun Kaang
Bong-Kiun Kaang Seoul National University
Yadin Dudai
Yadin Dudai Weizmann Institute of Science
Julietta Uta Frey
Julietta Uta Frey Leibniz Institute for Neurobiology
Bai Lu
Bai Lu Tsinghua University
Stephen Maren
Stephen Maren University of Illinois at Urbana-Champaign
Ann E. Kelley
Ann E. Kelley University of Wisconsin–Madison
Cristina M. Alberini
Cristina M. Alberini New York University
Jerry W. Rudy
Jerry W. Rudy University of Colorado Boulder

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