World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
64
Citations
14698
World Ranking
3270
National Ranking
1517

Daeyeol Lee 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 Daeyeol Lee 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: 192 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Daeyeol Lee 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 Daeyeol Lee 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: 64 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Daeyeol Lee is affiliated with Johns Hopkins University in the United States and has a scholarly focus primarily within the field of Neuroscience.

Their research contributions span several subfields including Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Experimental and Cognitive Psychology, and Biomedical Engineering.

Lee's work addresses multiple main topics such as Neural dynamics and brain function, Neural and Behavioral Psychology Studies, Functional Brain Connectivity Studies, Memory and Neural Mechanisms, Neurotransmitter Receptor Influence on Behavior, Mental Health Research Topics, and Neuroscience and Neuropharmacology Research.

Publications appear frequently in a range of venues, with the most consistent outlets including Faculty Opinions - Post-Publication Peer Review of the Biomedical Literature, bioRxiv (Cold Spring Harbor Laboratory), Biological Psychiatry, Journal of Neuroscience, and Proceedings of the National Academy of Sciences.

Frequent co-authors in their research collaborations are:

  • Hyojung Seo
  • John D. Murray
  • Alireza Soltani
  • Maxwell Shinn
  • Stephanie M. Groman

Representative recent publications by Daeyeol Lee include:

  • Multiple timescales of neural dynamics and integration of task-relevant signals across cortex, 2020, Proceedings of the National Academy of Sciences
  • Functional brain networks reflect spatial and temporal autocorrelation, 2023, Nature Neuroscience
  • Timescales of cognition in the brain, 2021, Current Opinion in Behavioral Sciences
  • Robust and distributed neural representation of action values, 2021, eLife
  • Reinforcement learning detuned in addiction: integrative and translational approaches, 2021, Trends in Neurosciences

Best Publications

  • A hierarchy of intrinsic timescales across primate cortex

    John D. Murray;Alberto Bernacchia;David J. Freedman;Ranulfo Romo

  • Prefrontal cortex and decision making in a mixed-strategy game.

    Dominic J Barraclough;Michelle L Conroy;Daeyeol Lee

  • Neural Basis of Reinforcement Learning and Decision Making

    Daeyeol Lee;Hyojung Seo;Min Whan Jung

  • Neuronal basis of age-related working memory decline

    Min Wang;Nao J. Gamo;Yang Yang;Lu E. Jin

  • Distinct roles of rodent orbitofrontal and medial prefrontal cortex in decision making

    Jung Hoon Sul;Hoseok Kim;Namjung Huh;Daeyeol Lee

  • Game theory and neural basis of social decision making.

    Daeyeol Lee

  • Variability and Correlated Noise in the Discharge of Neurons in Motor and Parietal Areas of the Primate Cortex

    Daeyeol Lee;Nicholas L. Port;Nicholas L. Port;Wolfgang Kruse;Apostolos P. Georgopoulos

  • Temporal Filtering of Reward Signals in the Dorsal Anterior Cingulate Cortex during a Mixed-Strategy Game

    Hyojung Seo;Daeyeol Lee

  • A reservoir of time constants for memory traces in cortical neurons

    Alberto Bernacchia;Hyojung Seo;Daeyeol Lee;Xiao Jing Wang

  • Persistent Spiking Activity Underlies Working Memory.

    Christos Constantinidis;Shintaro Funahashi;Shintaro Funahashi;Daeyeol Lee;John D. Murray

  • Prefrontal coding of temporally discounted values during intertemporal choice.

    Soyoun Kim;Jaewon Hwang;Daeyeol Lee

  • Role of Striatum in Updating Values of Chosen Actions

    Hoseok Kim;Jung Hoon Sul;Namjung Huh;Daeyeol Lee

  • Role of rodent secondary motor cortex in value-based action selection

    Jung Hoon Sul;Suhyun Jo;Daeyeol Lee;Min Whan Jung

  • Effects of noise correlations on information encoding and decoding.

    Bruno B. Averbeck;Daeyeol Lee

  • Prefrontal Cortex and Impulsive Decision Making

    Unknown

  • Ubiquity and Specificity of Reinforcement Signals throughout the Human Brain

    Timothy J. Vickery;Marvin M. Chun;Daeyeol Lee

  • Coding and transmission of information by neural ensembles

    Bruno B. Averbeck;Daeyeol Lee

  • Beyond working memory: the role of persistent activity in decision making

    Clayton E. Curtis;Daeyeol Lee

  • Neuroeconomics

    Unknown

  • Distributed coding of actual and hypothetical outcomes in the orbital and dorsolateral prefrontal cortex.

    Hiroshi Abe;Daeyeol Lee

  • Heterogeneous coding of temporally discounted values in the dorsal and ventral striatum during intertemporal choice.

    Xinying Cai;Soyoun Kim;Daeyeol Lee

  • Reinforcement learning and decision making in monkeys during a competitive game

    Daeyeol Lee;Michelle L. Conroy;Benjamin P. McGreevy;Dominic J. Barraclough

Frequent Co-Authors

Jane R. Taylor
Jane R. Taylor Yale University
John D. Murray
John D. Murray Yale University
Xiao-Jing Wang
Xiao-Jing Wang New York University
Amy F.T. Arnsten
Amy F.T. Arnsten Yale University
Marvin M. Chun
Marvin M. Chun Yale University
Apostolos P. Georgopoulos
Apostolos P. Georgopoulos University of Minnesota
Bruno B. Averbeck
Bruno B. Averbeck National Institutes of Health
Kevin A. Pelphrey
Kevin A. Pelphrey University of Virginia
Christopher Pittenger
Christopher Pittenger Yale University
Shintaro Funahashi
Shintaro Funahashi Kyoto University

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