World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
88
Citations
29857
World Ranking
1200
National Ranking
613

Nancy Kopell 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 Nancy Kopell 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: 207 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Nancy Kopell 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 Nancy Kopell 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: 88 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2016 - Swartz Prize for Theoretical and Computational Neuroscience
  • 2016 - Fellow of the American Mathematical Society For contributions to dynamical systems, applications to neuroscience, and leadership in mathematical biology.
  • 2015 - Mathematical Neuroscience Prize, Israel Brain Technologies (IBT)
  • 2009 - SIAM Fellow For contributions to dynamical systems theory and mathematical neuroscience.
  • 2007 - John von Neumann Lecturer
  • 1996 - Member of the National Academy of Sciences
  • 1996 - Fellow of the American Academy of Arts and Sciences
  • 1990 - Fellow of the MacArthur Foundation
  • 1984 - Fellow of John Simon Guggenheim Memorial Foundation
  • 1975 - Fellow of Alfred P. Sloan Foundation

Overview

Nancy Kopell is affiliated with Boston University in the United States and specializes in neuroscience, with a particular focus on cognitive neuroscience and cellular and molecular neuroscience. Their research spans several related subfields, including neurology, gender studies, and pharmacology.

The primary topics addressed in their work include:

  • Neural dynamics and brain function
  • Neuroscience and neuropharmacology research
  • EEG and brain-computer interfaces
  • Memory and neural mechanisms
  • Photoreceptor and optogenetics research
  • Visual perception and processing mechanisms
  • Neurological disorders and treatments

The recent academic output reflects ongoing engagement with multiple aspects of neuroscience and related areas. Notable papers are:

  • "Multisensory gamma stimulation promotes glymphatic clearance of amyloid," 2024, Nature
  • "Gender bias in academia: A lifetime problem that needs solutions," 2021, Neuron
  • "Layer and rhythm specificity for predictive routing," 2020, Proceedings of the National Academy of Sciences
  • "Deep brain stimulation in the subthalamic nucleus for Parkinson's disease can restore dynamics of striatal networks," 2022, Proceedings of the National Academy of Sciences
  • "A biophysical model of striatal microcircuits suggests gamma and beta oscillations interleaved at delta/theta frequencies mediate periodicity in motor control," 2020, PLoS Computational Biology

Frequent collaborators include:

  • Michelle M. McCarthy
  • Emery N. Brown
  • Fred Kop
  • Silvia Arber
  • Ann Marie Craig

Publications appear regularly in several venues, with multiple contributions in:

  • Trends in Neurosciences
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings of the National Academy of Sciences
  • eLife
  • PLoS Computational Biology

The scientist's career includes recognition through numerous awards such as the Swartz Prize for Theoretical and Computational Neuroscience (2016), Fellow of the American Mathematical Society (2016) for contributions to dynamical systems and leadership in mathematical biology, and the Mathematical Neuroscience Prize from Israel Brain Technologies (2015). Other honors include being named SIAM Fellow (2009), John von Neumann Lecturer (2007), and Fellow of both the American Academy of Arts and Sciences and the MacArthur Foundation, as well as memberships and fellowships spanning several decades.

Best Publications

  • Measuring Phase-Amplitude Coupling Between Neuronal Oscillations of Different Frequencies

    Adriano B. L. Tort;Robert Komorowski;Howard Eichenbaum;Nancy J Kopell

  • Gamma rhythms and beta rhythms have different synchronization properties.

    N. Kopell;G. B. Ermentrout;M. A. Whittington;R. D. Traub

  • Inhibition-based rhythms: experimental and mathematical observations on network dynamics

    M.A Whittington;R.D Traub;N Kopell;B Ermentrout

  • Theta–gamma coupling increases during the learning of item–context associations

    Adriano B. L. Tort;Robert W. Komorowski;Joseph R. Manns;Nancy J. Kopell

  • Dynamic cross-frequency couplings of local field potential oscillations in rat striatum and hippocampus during performance of a T-maze task

    Adriano B. L. Tort;Mark A. Kramer;Catherine Thorn;Daniel J. Gibson

  • Electroencephalogram signatures of loss and recovery of consciousness from propofol

    Patrick L. Purdon;Eric T. Pierce;Eran A. Mukamel;Eran A. Mukamel;Michael J. Prerau

  • Parabolic bursting in an excitable system coupled with a slow oscillation

    G B Ermentrout;N Kopell

  • Synchronization in networks of excitatory and inhibitory Neurons with sparse, random connectivity

    Christoph Börgers;Nancy Kopell

  • On the human sensorimotor-cortex beta rhythm: sources and modeling

    Ole Jensen;P. Goel;Nancy Kopell;Mikko Pohja

  • Multiple pulse interactions and averaging in systems of coupled neural oscillators

    G. B. Ermentrout;N. Kopell

  • Rapid synchronization through fast threshold modulation

    David Somers;Nancy Kopell

  • Hippocampal theta rhythm and its coupling with gamma oscillations require fast inhibition onto parvalbumin-positive interneurons

    Peer Wulff;Alexey A. Ponomarenko;Marlene Bartos;Tatiana M. Korotkova

  • Synchronization and oscillatory dynamics in heterogeneous, mutually inhibited neurons.

    John A. White;Carson C. Chow;Jason Ritt;Cristina Soto-Treviño

  • Background gamma rhythmicity and attention in cortical local circuits: A computational study

    Christoph Börgers;Steven Epstein;Nancy J. Kopell

  • Gap Junctions between Interneuron Dendrites Can Enhance Synchrony of Gamma Oscillations in Distributed Networks

    Roger D. Traub;Roger D. Traub;Nancy Kopell;Andrea Bibbig;Andrea Bibbig;Eberhard H. Buhl

  • Thalamocortical model for a propofol-induced α-rhythm associated with loss of consciousness

    Shinung Ching;Aylin Cimenser;Patrick Lee Purdon;Emery N. Brown

  • Symmetry and phaselocking in chains of weakly coupled oscillators

    N. Kopell;G. B. Ermentrout

  • Mechanisms for oscillation and frequency control in reciprocally inhibitory model neural networks.

    Frances K. Skinner;Nancy Kopell;Eve Marder

  • Chemical and electrical synapses perform complementary roles in the synchronization of interneuronal networks

    Nancy Kopell;Bard Ermentrout

  • Olfactory oscillations: the what, how and what for.

    Leslie M. Kay;Jennifer Beshel;Jennifer Beshel;Jorge Brea;Claire Martin;Claire Martin

  • Fine structure of neural spiking and synchronization in the presence of conduction delays

    G. B. Ermentrout;N. Kopell

Frequent Co-Authors

Miles A. Whittington
Miles A. Whittington University of York
Roger D. Traub
Roger D. Traub IBM (United States)
Adriano B. L. Tort
Adriano B. L. Tort Federal University of Rio Grande do Norte
Mark A. Kramer
Mark A. Kramer Boston University
John A. White
John A. White Boston University
Eve Marder
Eve Marder Brandeis University
Patrick L. Purdon
Patrick L. Purdon Harvard University

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Related Online Degrees & Career Pathways

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