World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
54
Citations
14672
World Ranking
4856
National Ranking
2187

Daphna Shohamy 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 Daphna Shohamy 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.

Daphna Shohamy 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 Daphna Shohamy 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: 54 D-Index — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Overview

Daphna Shohamy is affiliated with Columbia University in the United States. Their research primarily spans the fields of Neuroscience and Psychology, with a strong focus on Cognitive Neuroscience as well as Clinical Psychology and Experimental and Cognitive Psychology. Their work engages with subfields including Cellular and Molecular Neuroscience and General Decision Sciences.

The scientist's published work frequently appears in venues such as bioRxiv (Cold Spring Harbor Laboratory), Biological Psychiatry, Nature Communications, eLife, and Journal of Vision.

Frequent co-authors collaborating with Shohamy include Akram Bakkour, Karin Foerde, Joanna Steinglass, Nathaniel D. Daw, and B. Timothy Walsh.

Research topics covered in Shohamy's work include:

  • Memory and Neural Mechanisms
  • Neural and Behavioral Psychology Studies
  • Eating Disorders and Behaviors
  • Neural dynamics and brain function
  • Decision-Making and Behavioral Economics
  • Memory Processes and Influences
  • Neuroscience and Neuropharmacology Research

Some of their recent papers are:

  • "Racial and ethnic imbalance in neuroscience reference lists and intersections with gender" (2020), published in bioRxiv (Cold Spring Harbor Laboratory)
  • "What Are Memories For? The Hippocampus Bridges Past Experience with Future Decisions" (2020), published in Trends in Cognitive Sciences
  • "Curiosity as the impulse to know: common behavioral and neural mechanisms underlying curiosity and impulsivity" (2020), published in Current Opinion in Behavioral Sciences
  • "Restrictive eating across a spectrum from healthy to unhealthy: behavioral and neural mechanisms" (2020), published in Psychological Medicine
  • "Deficient Goal-Directed Control in a Population Characterized by Extreme Goal Pursuit" (2020), published in Journal of Cognitive Neuroscience

Best Publications

  • Interactive memory systems in the human brain.

    R. A. Poldrack;J. Clark;E. J. Paré-Blagoev;D. Shohamy

  • Ventromedial prefrontal-subcortical systems and the generation of affective meaning

    Mathieu Roy;Daphna Shohamy;Tor D. Wager

  • Dopamine and adaptive memory

    Daphna Shohamy;R. Alison Adcock

  • Integrating Memories in the Human Brain: Hippocampal–Midbrain Encoding of Overlapping Events

    Daphna Shohamy;Daphna Shohamy;Anthony D. Wagner

  • Preference by association: how memory mechanisms in the hippocampus bias decisions.

    G. Elliott Wimmer;Daphna Shohamy

  • Decision Making and Sequential Sampling from Memory.

    Michael N. Shadlen;Michael N. Shadlen;Daphna Shohamy

  • Cortico‐striatal contributions to feedback‐based learning: converging data from neuroimaging and neuropsychology

    Daphna Shohamy;C. E. Myers;S. Grossman;J. Sage

  • Model-based choices involve prospective neural activity

    Bradley B Doll;Katherine D Duncan;Dylan A Simon;Daphna Shohamy

  • Human midbrain sensitivity to cognitive feedback and uncertainty during classification learning.

    Adam R. Aron;Daphna Shohamy;Jill Clark;Catherine Myers

  • How do people solve the "weather prediction" task?: individual variability in strategies for probabilistic category learning.

    Mark A. Gluck;Daphna Shohamy;Catherine Myers

  • Curiosity and reward: Valence predicts choice and information prediction errors enhance learning.

    Caroline B. Marvin;Daphna Shohamy

  • An Upside to Reward Sensitivity: The Hippocampus Supports Enhanced Reinforcement Learning in Adolescence

    Juliet Y. Davidow;Juliet Y. Davidow;Karin Foerde;Adriana Galván;Daphna Shohamy

  • Representation of aversive prediction errors in the human periaqueductal gray

    Mathieu Roy;Daphna Shohamy;Nathaniel Daw;Marieke Jepma

  • Basal ganglia and dopamine contributions to probabilistic category learning

    D. Shohamy;C.E. Myers;J. Kalanithi;M.A. Gluck

  • Reminders of past choices bias decisions for reward in humans

    Aaron M. Bornstein;Mel W. Khaw;Daphna Shohamy;Nathaniel Douglass Daw

  • Dissociating Hippocampal versus Basal Ganglia Contributions to Learning and Transfer

    Catherine E. Myers;Daphna Shohamy;Mark A. Gluck;Steven Grossman

  • The role of the basal ganglia in learning and memory: Insight from Parkinson's disease

    Karin Foerde;Daphna Shohamy

  • Feedback Timing Modulates Brain Systems for Learning in Humans

    Karin Foerde;Daphna Shohamy

  • Role of the Basal Ganglia in Category Learning: How Do Patients With Parkinson's Disease Learn?

    D. Shohamy;C. E. Myers;S. Onlaor;M. A. Gluck

  • Neural mechanisms supporting maladaptive food choices in anorexia nervosa

    Karin Foerde;Joanna E Steinglass;Daphna Shohamy;B Timothy Walsh

  • Mind matters: placebo enhances reward learning in Parkinson's disease

    Liane Schmidt;Erin Kendall Braun;Tor D Wager;Daphna Shohamy

Frequent Co-Authors

Nathaniel D. Daw
Nathaniel D. Daw Princeton University
Mark A. Gluck
Mark A. Gluck Rutgers, The State University of New Jersey
Catherine E. Myers
Catherine E. Myers United States Department of Veterans Affairs
B. Timothy Walsh
B. Timothy Walsh Columbia University
Michael N. Shadlen
Michael N. Shadlen Columbia University
Tor D. Wager
Tor D. Wager Dartmouth College
Danielle S. Bassett
Danielle S. Bassett University of Pennsylvania
Edward E. Smith
Edward E. Smith Columbia University
Russell A. Poldrack
Russell A. Poldrack Stanford University
Ramona O. Hopkins
Ramona O. Hopkins Brigham Young University

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