World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
49
Citations
7869
World Ranking
6025
National Ranking
2633

Douglas A. Baxter 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 Douglas A. Baxter 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: 138 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Douglas A. Baxter 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 Douglas A. Baxter 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: 49 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Douglas A. Baxter is affiliated with The University of Texas Health Science Center at Houston in the United States. Their research spans multiple areas within neuroscience and molecular biology, focusing on neural dynamics, brain function, and mechanisms underlying memory and learning.

Their work is published across various domains but predominantly in neuroscience-related fields. The main fields of study include:

  • Neuroscience
  • Biochemistry, Genetics and Molecular Biology

Within these broader categories, Baxter's subfields of study cover:

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Molecular Biology
  • Genetics
  • Nature and Landscape Conservation

The primary topics of Baxter's research include:

  • Neural dynamics and brain function
  • Neurobiology and Insect Physiology Research
  • Neuroscience and Neuropharmacology Research
  • Genetics and Neurodevelopmental Disorders
  • Retinal Development and Disorders
  • Memory and Neural Mechanisms
  • Fish biology, ecology, and behavior

Recent publications reflect the detailed and diverse nature of Baxter's research interests. Some notable papers include:

  • Computational model of the distributed representation of operant reward memory: combinatoric engagement of intrinsic and synaptic plasticity mechanisms, 2020, Learning & Memory
  • Neuronal population activity dynamics reveal a low-dimensional signature of operant learning in Aplysia, 2022, Communications Biology
  • Repetitive Action Potential Firing, 2020, Encyclopedia of Life Sciences
  • Voltage- and Calcium-Gated Membrane Currents Tune the Plateau Potential Properties of Multiple Neuron Types, 2023, Journal of Neuroscience
  • A transdisciplinary dual degree curriculum yields novel and successful learning outcomes: early lessons from training physicianeers, 2025, Frontiers in Medicine

Baxter frequently collaborates with several other researchers. The most common co-authors include:

  • John H. Byrne
  • Paul Smolen
  • Renan M. Costa
  • Curtis L. Neveu
  • Michael R. Moreno

Their work has appeared repeatedly in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Learning & Memory
  • Communications Biology
  • Journal of Neuroscience

Best Publications

  • Mathematical Modeling of Gene Networks

    Paul Smolen;Douglas A Baxter;John H Byrne

  • Modeling transcriptional control in gene networks--methods, recent results, and future directions.

    Paul Smolen;Douglas A. Baxter;John H. Byrne

  • Operant Reward Learning in Aplysia: Neuronal Correlates and Mechanisms

    Björn Brembs;Fred D. Lorenzetti;Fredy D. Reyes;Douglas A. Baxter

  • Modeling circadian oscillations with interlocking positive and negative feedback loops.

    Paul Smolen;Douglas A. Baxter;John H. Byrne

  • Frequency selectivity, multistability, and oscillations emerge from models of genetic regulatory systems

    Paul Smolen;Douglas A. Baxter;John H. Byrne

  • A reduced model clarifies the role of feedback loops and time delays in the Drosophila circadian oscillator.

    Paul Smolen;Douglas A. Baxter;John H. Byrne

  • Contingent-Dependent Enhancement of Rhythmic Motor Patterns: An In Vitro Analog of Operant Conditioning

    Romuald Nargeot;Douglas A. Baxter;John H. Byrne

  • Effects of macromolecular transport and stochastic fluctuations on dynamics of genetic regulatory systems

    Paul Smolen;Douglas A. Baxter;John H. Byrne

  • Serotonergic modulation of two potassium currents in the pleural sensory neurons of Aplysia.

    Douglas A. Baxter;John H. Byrne

  • In Vitro Analog of Operant Conditioning in Aplysia. I. Contingent Reinforcement Modifies the Functional Dynamics of an Identified Neuron

    Romuald Nargeot;Douglas A. Baxter;John H. Byrne

  • Identification and Characterization of Catecholaminergic Neuron B65, Which Initiates and Modifies Patterned Activity in the Buccal Ganglia of Aplysia

    E. A. Kabotyanski;Douglas Baxter;John H Byrne

  • Involvement of protein kinase C in serotonin-induced spike broadening and synaptic facilitation in sensorimotor connections of Aplysia.

    Shuzo Sugita;Jason R. Goldsmith;Douglas A. Baxter;John H. Byrne

  • In vitro analog of operant conditioning in aplysia. II. Modifications of the functional dynamics of an identified neuron contribute to motor pattern selection.

    Romuald Nargeot;Douglas A. Baxter;John H. Byrne

  • Nonlinear dynamics in a model neuron provide a novel mechanism for transient synaptic inputs to produce long-term alterations of postsynaptic activity.

    C. C. Canavier;D. A. Baxter;J. W. Clark;J. H. Byrne

  • Differential effects of cAMP and serotonin on membrane current, action-potential duration, and excitability in somata of pleural sensory neurons of Aplysia.

    Douglas A. Baxter;John H. Byrne

  • Feeding behavior of Aplysia: A model system for comparing cellular mechanisms of classical and operant conditioning

    Douglas A. Baxter;John H. Byrne

  • Simulation of Drosophila Circadian Oscillations, Mutations, and Light Responses by a Model with VRI, PDP-1, and CLK

    Paul Smolen;Paul E. Hardin;Brian S. Lo;Douglas A. Baxter

  • Bistability and its regulation by serotonin in the endogenously bursting neuron R15 in Aplysia.

    H. A. Lechner;D. A. Baxter;J. W. Clark;J. H. Byrne

  • Classical conditioning of feeding in Aplysia: I. Behavioral analysis.

    Hilde A. Lechner;Douglas A. Baxter;John H. Byrne

  • Phase response characteristics of model neurons determine which patterns are expressed in a ring circuit model of gait generation

    Carmen C. Canavier;Robert J. Butera;R. O. Dror;Douglas A. Baxter

  • Neural and molecular bases of nonassociative and associative learning in Aplysia.

    John H. Byrne;Douglas A. Baxter;Dean V. Buonomano;Leonard J. Cleary

Frequent Co-Authors

John H. Byrne
John H. Byrne The University of Texas Health Science Center at Houston
Carmen C. Canavier
Carmen C. Canavier Louisiana State University Health Sciences Center New Orleans
Dean V. Buonomano
Dean V. Buonomano University of California, Los Angeles
George D. Bittner
George D. Bittner The University of Texas at Austin
Randolf Menzel
Randolf Menzel Freie Universität Berlin
Daniel Johnston
Daniel Johnston The University of Texas at Austin
Behnaam Aazhang
Behnaam Aazhang Rice University
Cristina M. Alberini
Cristina M. Alberini New York University
Jeannie Chin
Jeannie Chin Baylor College of Medicine
Thomas H. Brown
Thomas H. Brown Yale University

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