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Neuroscience

D-Index
62
Citations
18705
World Ranking
3470
National Ranking
1603

Loren M. Frank 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 Loren M. Frank 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: 140 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Loren M. Frank 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 Loren M. Frank 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: 62 D-Index — 64th percentile

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

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

Overview

Loren M. Frank is affiliated with the University of California, San Francisco in the United States. Their research primarily focuses on neuroscience, with a concentration on cognitive neuroscience. Other significant areas of study include cellular and molecular neuroscience, molecular biology, cell biology, and electrical and electronic engineering.

The main topics covered in Loren M. Frank's work include:

  • Memory and Neural Mechanisms
  • Neuroscience and Neuropharmacology Research
  • Neural Dynamics and Brain Function
  • Sleep and Wakefulness Research
  • Zebrafish Biomedical Research Applications
  • Cell Image Analysis Techniques
  • Functional Brain Connectivity Studies

Loren M. Frank has contributed numerous publications, with significant frequent venues including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • eLife
  • Neuron
  • Philosophical Transactions of the Royal Society B Biological Sciences
  • Nature

Recent prominent papers authored or co-authored by Loren M. Frank include:

  • "Constant Sub-second Cycling between Representations of Possible Futures in the Hippocampus," published in Cell, 2020
  • "Hippocampal replay reflects specific past experiences rather than a plan for subsequent choice," published in Neuron, 2021
  • "A consensus statement on detection of hippocampal sharp wave ripples and differentiation from other fast oscillations," published in Nature Communications, 2022
  • "Ultraflexible electrode arrays for months-long high-density electrophysiological mapping of thousands of neurons in rodents," published in Nature Biomedical Engineering, 2022
  • "The Neurodata Without Borders ecosystem for neurophysiological data science," published in eLife, 2022

Loren M. Frank has collaborated frequently with several researchers, including:

  • Eric L. Denovellis
  • Anna K. Gillespie
  • Jason E. Chung
  • Daniel F. Liu
  • Michael E. Coulter

Best Publications

  • Hippocampal replay in the awake state: a potential substrate for memory consolidation and retrieval

    Margaret F Carr;Shantanu P Jadhav;Loren M Frank

  • Awake hippocampal sharp-wave ripples support spatial memory

    Shantanu P. Jadhav;Caleb Kemere;P. Walter German;Loren M. Frank

  • Awake replay of remote experiences in the hippocampus.

    Mattias P Karlsson;Loren M Frank

  • Trajectory encoding in the hippocampus and entorhinal cortex.

    Loren M Frank;Emery N Brown;Matthew Wilson

  • A Statistical Paradigm for Neural Spike Train Decoding Applied to Position Prediction from Ensemble Firing Patterns of Rat Hippocampal Place Cells

    Emery N. Brown;Loren M. Frank;Dengda Tang;Michael C. Quirk

  • A prefrontal cortex–brainstem neuronal projection that controls response to behavioural challenge

    Melissa R. Warden;Aslihan Selimbeyoglu;Julie J. Mirzabekov;Maisie Lo

  • The time-rescaling theorem and its application to neural spike train data analysis

    Emery N. Brown;Riccardo Barbieri;Valérie Ventura;Robert E. Kass

  • A Fully Automated Approach to Spike Sorting

    Jason E. Chung;Jeremy F. Magland;Alex H. Barnett;Vanessa M. Tolosa

  • Hippocampal Plasticity across Multiple Days of Exposure to Novel Environments

    Loren M. Frank;Garrett B. Stanley;Emery N. Brown

  • The hippocampal sharp wave–ripple in memory retrieval for immediate use and consolidation

    Hannah R. Joo;Loren M. Frank

  • Optetrode: a multichannel readout for optogenetic control in freely moving mice

    Polina Anikeeva;Aaron S. Andalman;Ilana Basya Witten;Melissa Warden

  • Single Neurons in the Monkey Hippocampus and Learning of New Associations

    Sylvia Wirth;Marianna Yanike;Loren M. Frank;Anne C. Smith

  • Rewarded Outcomes Enhance Reactivation of Experience in the Hippocampus

    Annabelle C. Singer;Loren M. Frank

  • Dynamic analysis of neural encoding by point process adaptive filtering

    Uri T. Eden;Loren M. Frank;Riccardo Barbieri;Victor Solo

  • A cortical–hippocampal–cortical loop of information processing during memory consolidation

    Gideon Rothschild;Elad Eban;Loren M Frank;Loren M Frank

  • Dynamic analysis of learning in behavioral experiments.

    Anne C. Smith;Loren M. Frank;Loren M. Frank;Sylvia Wirth;Marianna Yanike

  • High-Density, Long-Lasting, and Multi-region Electrophysiological Recordings Using Polymer Electrode Arrays.

    Jason E. Chung;Hannah R. Joo;Jiang Lan Fan;Daniel F. Liu

  • New Experiences Enhance Coordinated Neural Activity in the Hippocampus

    Sen Cheng;Loren M. Frank

  • Transient Slow Gamma Synchrony Underlies Hippocampal Memory Replay

    Margaret F. Carr;Mattias P. Karlsson;Loren M. Frank

  • Constant Sub-second Cycling between Representations of Possible Futures in the Hippocampus.

    Kenneth Kay;Jason E. Chung;Marielena Sosa;Jonathan S. Schor

  • Hippocampal SWR activity predicts correct decisions during the initial learning of an alternation task.

    Annabelle C. Singer;Margaret F. Carr;Margaret F. Carr;Mattias P. Karlsson;Loren M. Frank

Frequent Co-Authors

Uri T. Eden
Uri T. Eden Boston University
Yadong Huang
Yadong Huang Gladstone Institutes
Leslie Greengard
Leslie Greengard New York University
Peter Dayan
Peter Dayan Max Planck Institute for Biological Cybernetics
Anthony G. Cohn
Anthony G. Cohn University of Leeds
Wendy A. Suzuki
Wendy A. Suzuki New York University
Karl Deisseroth
Karl Deisseroth Stanford University
Viktor Kharazia
Viktor Kharazia University of California, San Francisco

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