World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
40
Citations
9480
World Ranking
7990
National Ranking
3431

David B. Reichling 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 David B. Reichling 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: 58 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

David B. Reichling 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 David B. Reichling 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: 40 D-Index — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Overview

David B. Reichling is affiliated with the University of California, San Francisco in the United States. Their research primarily spans the fields of Environmental Science and Psychology, with notable contributions across related subfields including Ecology, Applied Psychology, Small Animals, and Management, Monitoring, Policy and Law.

The scientist has focused on multiple main topics, particularly Agriculture Sustainability and Environmental Impact, Behavioral Health and Interventions, Animal Behavior and Welfare Studies, and Environmental Education and Sustainability. These areas reflect an interdisciplinary approach bridging environmental and behavioral sciences.

Recent publications highlight their involvement in issues related to animal welfare and dietary behavior. Notable papers include:

  • "Interventions to reduce meat consumption by appealing to animal welfare: Meta-analysis and evidence-based recommendations" (2021) published in Appetite
  • "Reducing meat consumption by appealing to animal welfare: protocol for a meta-analysis and theoretical review" (2020) published in Systematic Reviews

David B. Reichling has collaborated frequently with several co-authors, including:

  • Maya B. Mathur
  • Jacob Peacock
  • Janice Nadler
  • Paul Bain
  • Christopher D. Gardner

Their work has appeared in scientific journals such as Appetite and Systematic Reviews, which are among the most frequent venues for their publications.

Best Publications

  • Lidocaine Toxicity in Primary Afferent Neurons from the Rat

    Michael S. Gold;David B. Reichling;Karl F. Hampl;Kenneth Drasner

  • Hyperalgesic agents increase a tetrodotoxin-resistant Na+ current in nociceptors

    Michael S. Gold;David B. Reichling;Michael J. Shuster;Jon D. Levine

  • Critical role of nociceptor plasticity in chronic pain

    David B. Reichling;Jon D. Levine

  • Navigating a social world with robot partners: A quantitative cartography of the Uncanny Valley.

    Maya B. Mathur;David B. Reichling

  • Hypotonicity induces TRPV4-mediated nociception in rat.

    Nicole Alessandri-Haber;Jenny J Yeh;Aileen E Boyd;Carlos A Parada

  • Bradykinin-12-lipoxygenase-VR1 signaling pathway for inflammatory hyperalgesia

    Jieun Shin;Hawon Cho;Sun Wook Hwang;Jooyoung Jung

  • Perforated-patch recording with gramicidin avoids artifactual changes in intracellular chloride concentration

    Andreas Kyrozis;David B. Reichling

  • Transient Receptor Potential Vanilloid 4 Is Essential in Chemotherapy-Induced Neuropathic Pain in the Rat

    Nicole Alessandri-Haber;Olayinka A. Dina;Jenny J. Yeh;Carlos Amílcar Parada

  • Mechanisms of GABA and glycine depolarization-induced calcium transients in rat dorsal horn neurons.

    D B Reichling;A Kyrozis;J Wang;A B MacDermott

  • A Transient Receptor Potential Vanilloid 4-Dependent Mechanism of Hyperalgesia Is Engaged by Concerted Action of Inflammatory Mediators

    Nicole Alessandri-Haber;Olayinka A Dina;Elizabeth K Joseph;David Reichling

  • Mechanical transduction by rat dorsal root ganglion neurons in vitro

    Gordon C McCarter;David B Reichling;Jon D Levine

  • Interaction of Transient Receptor Potential Vanilloid 4, Integrin, and Src Tyrosine Kinase in Mechanical Hyperalgesia

    Nicole Alessandri-Haber;Olayinka A. Dina;Elizabeth K. Joseph;David B. Reichling

  • Vincristine hyperalgesia in the rat : A model of painful vincristine neuropathy in humans

    K.O. Aley;D.B. Reichling;J.D. Levine

  • Stress Induces a Switch of Intracellular Signaling in Sensory Neurons in a Model of Generalized Pain

    Sachia G. Khasar;Jennifer Burkham;Olayinka A. Dina;Adrienne S. Brown

  • Role of protein kinase Cepsilon and protein kinase A in a model of paclitaxel-induced painful peripheral neuropathy in the rat.

    O.A Dina;X Chen;D Reichling;J.D Levine

  • Contribution of brainstem GABAergic circuitry to descending antinociceptive controls: I. GABA-immunoreactive projection neurons in the periaqueductal gray and nucleus raphe magnus.

    David B. Reichling;Allan I. Basbaum

  • Transient attenuation of protein kinase Cepsilon can terminate a chronic hyperalgesic state in the rat.

    C.A. Parada;J.J. Yeh;D.B. Reichling;J.D. Levine

  • Chronic hyperalgesic priming in the rat involves a novel interaction between cAMP and PKCe second messenger pathways

    Carlos Amílcar Parada;David B. Reichling;J. D. Levine

  • Anatomy, physiology and pharmacology of the periaqueductal gray contribution to antinociceptive controls.

    David B. Reichling;Geoffrey C. Kwiat;Allan I. Basbaum

  • Developmental Loss of GABA‐ and Glycine‐induced Depolarization and Ca2+ Transients in Embryonic Rat Dorsal Horn Neurons in Culture

    Jian Wang;David B. Reichling;Andreas Kyrozis;Amy B. MacDermott

Frequent Co-Authors

Jon D. Levine
Jon D. Levine University of California, San Francisco
Olayinka A. Dina
Olayinka A. Dina University of California, San Francisco
Amy B. MacDermott
Amy B. MacDermott Columbia University
Allan I. Basbaum
Allan I. Basbaum University of California, San Francisco
Thomas N. Robinson
Thomas N. Robinson University of Colorado Denver
Michael S. Gold
Michael S. Gold University of Pittsburgh
Robert O. Messing
Robert O. Messing The University of Texas at Austin
Kimberly D. Tanner
Kimberly D. Tanner San Francisco State University
Ottavio Arancio
Ottavio Arancio Columbia University
Steven D. Rosen
Steven D. Rosen University of California, San Francisco

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