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 67 2929 2678 283 257 214 12931

Victoria Chapman publications per year

The chart shows the history of publications by Victoria Chapman between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Victoria Chapman published across 34 years, from 1992 to 2025, averaging 7.2 papers a year. Output peaked at 13 publications in 2016. 18 of the 246 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1992 to 2025. Vertical axis: number of publications, 0 to 13. Peak 13 publications in 2016. 1992: 5 publications 1993: 1 publication 1994: 4 publications 1995: 9 publications 1996: 8 publications 1997: 6 publications 1998: 5 publications 1999: 3 publications 2000: 6 publications 2001: 5 publications 2002: 6 publications 2003: 10 publications 2004: 8 publications 2005: 6 publications 2006: 9 publications 2007: 11 publications 2008: 9 publications 2009: 10 publications 2010: 6 publications 2011: 12 publications 2012: 9 publications 2013: 5 publications 2014: 6 publications 2015: 10 publications 2016: 13 publications 2017: 9 publications 2018: 7 publications 2019: 7 publications 2020: 10 publications 2021: 3 publications 2022: 8 publications 2023: 2 publications 2024: 13 publications 2025: 5 publications
1992 2025

246 publications in total across all disciplines

View publications per year as a table
Victoria Chapman: publications per year, 1992 to 2025
Year Publications
1992 5
1993 1
1994 4
1995 9
1996 8
1997 6
1998 5
1999 3
2000 6
2001 5
2002 6
2003 10
2004 8
2005 6
2006 9
2007 11
2008 9
2009 10
2010 6
2011 12
2012 9
2013 5
2014 6
2015 10
2016 13
2017 9
2018 7
2019 7
2020 10
2021 3
2022 8
2023 2
2024 13
2025 5
Total 246
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Victoria Chapman 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 Victoria Chapman 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, 208–217 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: 214 publications — 66th percentile

66% 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
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
208–217 262 214
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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Victoria Chapman 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 Victoria Chapman 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, 66–67 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: 67 D-Index — 71st percentile

71% 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
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 67
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

Victoria Chapman is affiliated with the University of Nottingham in the United Kingdom. Their research focuses on several interconnected fields within medicine, including pharmacology, physiology, rheumatology, biochemistry, and molecular biology. The scientist's main areas of work cover osteoarthritis treatment and mechanisms, pain mechanisms and treatments, eicosanoids and hypertension pharmacology, inflammatory mediators and nonsteroidal anti-inflammatory drug (NSAID) effects, fatty acid research and health, botulinum toxin and related neurological disorders, and neuropeptides and animal physiology.

The research topics associated with Victoria Chapman include:

  • Osteoarthritis Treatment and Mechanisms
  • Pain Mechanisms and Treatments
  • Eicosanoids and Hypertension Pharmacology
  • Inflammatory mediators and NSAID effects
  • Fatty Acid Research and Health
  • Botulinum Toxin and Related Neurological Disorders
  • Neuropeptides and Animal Physiology

Victoria Chapman has contributed to several peer-reviewed papers, demonstrating a range of interests related mostly to inflammation, pain, and metabolic biochemistry in osteoarthritis and other chronic pain conditions. Recent notable publications include:

  • "The anti-inflammatory effect of bacterial short chain fatty acids is partially mediated by endocannabinoids," 2021, published in Gut Microbes
  • "Contribution of nerves within osteochondral channels to osteoarthritis knee pain in humans and rats," 2020, published in Osteoarthritis and Cartilage
  • "Lipidomic identification of plasma lipids associated with pain behaviour and pathology in a mouse model of osteoarthritis," 2020, published in Metabolomics
  • "Neurogenic inflammation as a novel treatment target for chronic pain syndromes," 2022, published in Experimental Neurology
  • "The challenges of treating osteoarthritis pain and opportunities for novel peripherally directed therapeutic strategies," 2022, published in Neuropharmacology

The scientist frequently publishes in venues specializing in osteoarthritis, biomolecular studies, and pain research, with repeated contributions to:

  • Osteoarthritis and Cartilage
  • bioRxiv (Cold Spring Harbor Laboratory)
  • PAIN Reports
  • Metabolomics
  • PLoS ONE

Victoria Chapman collaborates regularly with several researchers, showing sustained partnership in their research projects. Frequent coauthors include:

  • James Turnbull
  • Peter R.W. Gowler
  • David A. Barrett
  • Ana M. Valdes
  • Gareth J. Hathway

Best Publications

  • The pharmacology of excitatory and inhibitory amino acid-mediated events in the transmission and modulation of pain in the spinal cord.

    A.H. Dickenson;V. Chapman;G.M. Green

  • Characterisation of the cannabinoid receptor system in synovial tissue and fluid in patients with osteoarthritis and rheumatoid arthritis.

    Denise Richardson;Richard G Pearson;Nisha Kurian;M Liaque Latif

  • The cannabinoid system and pain

    Stephen G. Woodhams;Victoria Chapman;David P. Finn;Andrea G. Hohmann

  • Physiological properties of the lamina I spinoparabrachial neurons in the rat.

    Hervé Bester;Victoria Chapman;Jean-Marie Besson;Jean-François Bernard

  • Visual risk factors for driving difficulty among older drivers

    Gerald McGwin;Victoria Chapman;Cynthia Owsley

  • The combination of NMDA antagonism and morphine produces profound antinociception in the rat dorsal horn

    V. Chapman;A.H. Dickenson

  • Electrophysiological characterization of spinal neuronal response properties in anaesthetized rats after ligation of spinal nerves L5-L6.

    Victoria Chapman;Rie Suzuki;Anthony H. Dickenson

  • Cannabinoids: a real prospect for pain relief?

    Leslie Iversen;Victoria Chapman

  • Quantitative profiling of endocannabinoids and related compounds in rat brain using liquid chromatography-tandem electrospray ionization mass spectrometry.

    Denise Richardson;Catharine A. Ortori;Victoria Chapman;David A. Kendall

  • Analgesic effects of fatty acid amide hydrolase inhibition in a rat model of neuropathic pain.

    Maulik D Jhaveri;Denise Richardson;David A Kendall;David A Barrett

  • Cannabinoid CB2 receptor activation inhibits mechanically evoked responses of wide dynamic range dorsal horn neurons in naïve rats and in rat models of inflammatory and neuropathic pain

    Steven J. R. Elmes;Maulik D. Jhaveri;Darren Smart;David A. Kendall

  • Inhibitory effects of CB1 and CB2 receptor agonists on responses of DRG neurons and dorsal horn neurons in neuropathic rats.

    Devi Rani Sagar;Sara Kelly;Paul J. Millns;Celestine T. O'Shaughnessey

  • Endocannabinoid metabolism and uptake: novel targets for neuropathic and inflammatory pain

    M D Jhaveri;D Richardson;V Chapman

  • The spinal and peripheral roles of bradykinin and prostaglandins in nociceptive processing in the rat.

    Victoria Chapman;Anthony H. Dickenson

  • The Role of the Endocannabinoid System in Pain

    Stephen G. Woodhams;Devi Rani Sagar;James J. Burston;Victoria Chapman

  • Inhibitory action of nociceptin on spinal dorsal horn neurones of the rat, in vivo.

    L.C. Stanfa;V. Chapman;N. Kerr;A.H. Dickenson

  • Inhibition of fatty acid amide hydrolase and cyclooxygenase-2 increases levels of endocannabinoid related molecules and produces analgesia via peroxisome proliferator-activated receptor-alpha in a model of inflammatory pain.

    Maulik D. Jhaveri;Denise Richardson;Ian Robinson;Michael J. Garle

  • Effects of systemic carbamazepine and gabapentin on spinal neuronal responses in spinal nerve ligated rats

    Victoria Chapman;Rie Suzuki;Holly L.C Chamarette;Lars J Rygh

  • Minocycline treatment inhibits microglial activation and alters spinal levels of endocannabinoids in a rat model of neuropathic pain

    Leonardo Guasti;Denise Richardson;Denise Richardson;Maulik Jhaveri;Khalil Eldeeb

  • Evaluation of NHS carbamates as a potent and selective class of endocannabinoid hydrolase inhibitors.

    Micah J. Niphakis;Armand B. Cognetta;Jae Won Chang;Matthew W. Buczynski

  • The effectiveness of spinal and systemic morphine on rat dorsal horn neuronal responses in the spinal nerve ligation model of neuropathic pain.

    Rie Suzuki;Victoria Chapman;Anthony H. Dickenson

Frequent Co-Authors

David A. Walsh
David A. Walsh University of Nottingham
David A. Barrett
David A. Barrett University of Nottingham
Anthony H. Dickenson
Anthony H. Dickenson University College London
Prisca Honore
Prisca Honore University of Minnesota
Jean-Marie Besson
Jean-Marie Besson Grenoble Alpes University
Charles A. Marsden
Charles A. Marsden University of Nottingham
David P. Finn
David P. Finn University of Galway
Dwight J. Rouse
Dwight J. Rouse Brown University
Michael Doherty
Michael Doherty University of Nottingham
Ana M. Valdes
Ana M. Valdes University of Nottingham

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