World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 40 7990 7382 3431 3105 58 9480

David B. Reichling publications per year

The chart shows the history of publications by David B. Reichling between 1984 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David B. Reichling published across 38 years, from 1984 to 2021, averaging 1.6 papers a year. Output peaked at 4 publications in 1996. 3 of the 59 publications appeared in the last two years.

No. of publications
1 2 3 4
Bar chart. Horizontal axis: year, 1984 to 2021. Vertical axis: number of publications, 0 to 4. Peak 4 publications in 1996. 1984: 1 publication 1985: 0 publications 1986: 0 publications 1987: 1 publication 1988: 1 publication 1989: 0 publications 1990: 3 publications 1991: 3 publications 1992: 0 publications 1993: 1 publication 1994: 3 publications 1995: 1 publication 1996: 4 publications 1997: 2 publications 1998: 2 publications 1999: 4 publications 2000: 2 publications 2001: 1 publication 2002: 1 publication 2003: 4 publications 2004: 1 publication 2005: 4 publications 2006: 1 publication 2007: 0 publications 2008: 3 publications 2009: 4 publications 2010: 2 publications 2011: 2 publications 2012: 0 publications 2013: 1 publication 2014: 0 publications 2015: 1 publication 2016: 1 publication 2017: 1 publication 2018: 0 publications 2019: 1 publication 2020: 2 publications 2021: 1 publication
1984 2021

59 publications in total across all disciplines

View publications per year as a table
David B. Reichling: publications per year, 1984 to 2021
Year Publications
1984 1
1985 0
1986 0
1987 1
1988 1
1989 0
1990 3
1991 3
1992 0
1993 1
1994 3
1995 1
1996 4
1997 2
1998 2
1999 4
2000 2
2001 1
2002 1
2003 4
2004 1
2005 4
2006 1
2007 0
2008 3
2009 4
2010 2
2011 2
2012 0
2013 1
2014 0
2015 1
2016 1
2017 1
2018 0
2019 1
2020 2
2021 1
Total 59
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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.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 58–67 publications, is where this scientist sits. 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 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 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.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193 58
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
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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.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 40–41 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456 40
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
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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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