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Daniel Margoliash

D-Index & Metrics

Neuroscience

D-Index
44
Citations
11096
World Ranking
7061
National Ranking
3051

Daniel Margoliash 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 Daniel Margoliash 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: 109 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Daniel Margoliash 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 Daniel Margoliash 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: 44 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Daniel Margoliash is affiliated with the University of Chicago in the United States. Their research spans several main fields including Biochemistry, Genetics and Molecular Biology, Agricultural and Biological Sciences, and Environmental Science. Within these broad fields, Margoliash's work is focused on subfields such as Developmental Biology, Ecology, Evolution, Behavior and Systematics, Experimental and Cognitive Psychology, and Cognitive Neuroscience.

Their primary research topics cover Animal Vocal Communication and Behavior, Animal Behavior and Reproduction, Marine animal studies, Phonetics and Phonology Research, Plant and animal studies, Bat Biology and Ecology Studies, and Avian ecology and behavior.

Margoliash has contributed to various publication venues with notable frequency in the following:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • PLoS Biology
  • Neurobiology of Learning and Memory
  • Current Biology

Some of the recent published papers by Margoliash include:

  • "Intrinsic neuronal properties represent song and error in zebra finch vocal learning," 2020, Nature Communications
  • "Budgerigars have complex sleep structure similar to that of mammals," 2020, PLoS Biology
  • "Intrinsic plasticity and birdsong learning," 2021, Neurobiology of Learning and Memory
  • "Rhythmically bursting songbird vocomotor neurons are organized into multiple sequences, suggesting a network/intrinsic properties model encoding song and error, not time," 2023, bioRxiv (Cold Spring Harbor Laboratory)
  • "Rhythm: Similar Structure in Birdsong and Music Gives Neuroethological Insight," 2020, Current Biology

Frequent co-authors collaborating with Margoliash include:

  • Arij Daou
  • John P. Veillette
  • Jacob Rosen
  • Howard C. Nusbaum
  • Sofija V. Canavan

Best Publications

  • Temporal Hierarchical Control of Singing in Birds

    Albert C. Yu;Daniel Margoliash

  • Acoustic parameters underlying the responses of song-specific neurons in the white-crowned sparrow.

    D Margoliash

  • Song Replay During Sleep and Computational Rules for Sensorimotor Vocal Learning

    Amish S. Dave;Daniel Margoliash

  • Consolidation during sleep of perceptual learning of spoken language

    Kimberly M. Fenn;Howard C. Nusbaum;Daniel Margoliash

  • Temporal and harmonic combination-sensitive neurons in the zebra finch's HVc

    D Margoliash;ES Fortune

  • Preference for autogenous song by auditory neurons in a song system nucleus of the white-crowned sparrow

    D Margoliash

  • Automated recognition of bird song elements from continuous recordings using dynamic time warping and hidden Markov models: a comparative study.

    Joseph A. Kogan;Daniel Margoliash

  • Behavioral state modulation of auditory activity in a vocal motor system.

    Amish S. Dave;Albert C. Yu;Daniel Margoliash

  • An Introduction to Birdsong and the Avian Song System

    Eliot A. Brenowitz;Daniel Margoliash;Kathy W. Nordeen

  • Neuronal populations and single cells representing learned auditory objects.

    Timothy Q. Gentner;Daniel Margoliash

  • Functional organization of forebrain pathways for song production and perception.

    Daniel Margoliash

  • Parallel pathways and convergence onto HVc and adjacent neostriatum of adult zebra finches (Taeniopygia guttata)

    Eric S. Fortune;Daniel Margoliash

  • Template-based automatic recognition of birdsong syllables from continuous recordings

    Sven E. Anderson;Amish S. Dave;Daniel Margoliash

  • Sleep and sensorimotor integration during early vocal learning in a songbird.

    Sylvan S. Shank;Daniel Margoliash

  • Elemental gesture dynamics are encoded by song premotor cortical neurons

    Ana Amador;Yonatan Sanz Perl;Gabriel B. Mindlin;Daniel Margoliash

  • Temporal Precision and Temporal Drift in Brain and Behavior of Zebra Finch Song

    Zhiyi Chi;Daniel Margoliash

  • Cytoarchitectonic organization and morphology of cells of the field L complex in male zebra finches (Taenopygia guttata).

    Eric S. Fortune;Daniel Margoliash

  • Consolidating the effects of waking and sleep on motor-sequence learning.

    Timothy P. Brawn;Kimberly M. Fenn;Howard C. Nusbaum;Daniel Margoliash

  • The personalized auditory cortex of the mustached bat: adaptation for echolocation

    Nobuo Suga;Hideto Niwa;Ikuo Taniguchi;Daniel Margoliash

  • Gradual Emergence of Song Selectivity in Sensorimotor Structures of the Male Zebra Finch Song System

    Petr Janata;Daniel Margoliash

  • Temporal and Harmonic Combination-Sens itive Neurons in the Tebra Finchns HVc

    Daniel Margoliash;Eric S. Fortune

Frequent Co-Authors

Howard C. Nusbaum
Howard C. Nusbaum University of Chicago
Stuart F. Cogan
Stuart F. Cogan The University of Texas at Dallas
Jan-Marino Ramirez
Jan-Marino Ramirez University of Washington
Nobuo Suga
Nobuo Suga Washington University in St. Louis
Nicholas G. Hatsopoulos
Nicholas G. Hatsopoulos University of Chicago
Kathy W. Nordeen
Kathy W. Nordeen University of Rochester
Michale S. Fee
Michale S. Fee MIT
Eliot A. Brenowitz
Eliot A. Brenowitz University of Washington
Henry L. Roediger
Henry L. Roediger Washington University in St. Louis
David A. Gallo
David A. Gallo University of Chicago

External Links

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