World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
76
Citations
22343
World Ranking
1912
National Ranking
14

David Yarnitsky 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 Yarnitsky 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: 235 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

David Yarnitsky 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 Yarnitsky 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: 76 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

David Yarnitsky is affiliated with the Technion - Israel Institute of Technology in Israel. Their research predominantly lies within the field of Medicine, with a notable focus on Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Statistics, Probability and Uncertainty, and Neurology.

The main topics addressed in Yarnitsky's work include:

  • Health and Medical Research Impacts
  • Meta-analysis and systematic reviews
  • Sex and Gender in Healthcare
  • Cardiac, Anesthesia and Surgical Outcomes
  • Pain Mechanisms and Treatments
  • Musculoskeletal pain and rehabilitation
  • Pain Management and Placebo Effect

Selected recent papers authored or co-authored by Yarnitsky include:

  • Classification of painful or painless diabetic peripheral neuropathy and identification of the most powerful predictors using machine learning models in large cross-sectional cohorts, 2022, BMC Medical Informatics and Decision Making
  • Patient phenotyping in clinical trials of chronic pain treatments: IMMPACT recommendations, 2021, PAIN Reports
  • Clinical Effects of Repetitive Transcranial Magnetic Stimulation of the Motor Cortex Are Associated With Changes in Resting-State Functional Connectivity in Patients With Fibromyalgia Syndrome, 2021, Journal of Pain
  • Promoting inclusion, diversity, and equity in pain science, 2023, Pain
  • Promoting Inclusion, Diversity, and Equity in Pain Science, 2022, Journal of Pain

Yarnitsky has frequently published in the following venues:

  • Pain
  • Journal of Pain
  • PAIN Reports
  • Pain Medicine
  • Canadian Journal of Pain

Frequent scientific collaborators include:

  • Karen D. Davis
  • Tonya M. Palermo
  • Robert W. Hurley
  • Joel Katz
  • Michael E Schatman

Best Publications

  • An association between migraine and cutaneous allodynia

    Rami Burstein;Rami Burstein;David Yarnitsky;Itay Goor-Aryeh;Bernard J. Ransil

  • The development of cutaneous allodynia during a migraine attack clinical evidence for the sequential recruitment of spinal and supraspinal nociceptive neurons in migraine.

    Rami Burstein;Michael F. Cutrer;David Yarnitsky;David Yarnitsky

  • Conditioned pain modulation (the diffuse noxious inhibitory control-like effect): its relevance for acute and chronic pain states.

    David Yarnitsky

  • Prediction of chronic post-operative pain: pre-operative DNIC testing identifies patients at risk.

    David Yarnitsky;Yonathan Crispel;Elon Eisenberg;Yelena Granovsky

  • Quantitative sensory testing

    David Yarnitsky

  • Value of quantitative sensory testing in neurological and pain disorders: NeuPSIG consensus.

    Miroslav Misha Backonja;Nadine Attal;Ralf Baron;Didier Bouhassira

  • Experimental and clinical applications of quantitative sensory testing applied to skin, muscles and viscera.

    Lars Arendt-Nielsen;David Yarnitsky

  • Conditioned pain modulation predicts duloxetine efficacy in painful diabetic neuropathy

    David Yarnitsky;David Yarnitsky;Michal Granot;Hadas Nahman-Averbuch;Mogher Khamaisi

  • Recommendations on terminology and practice of psychophysical DNIC testing.

    David Yarnitsky;David Yarnitsky;Lars Arendt-Nielsen;Didier Bouhassira;Robert R. Edwards

  • Recommendations on practice of conditioned pain modulation (CPM) testing.

    D. Yarnitsky;D. Bouhassira;A.M. Drewes;R.B. Fillingim

  • The methodology of experimentally induced diffuse noxious inhibitory control (DNIC)-like effect in humans.

    Dorit Pud;Yelena Granovsky;David Yarnitsky

  • Determinants of endogenous analgesia magnitude in a diffuse noxious inhibitory control (DNIC) paradigm: do conditioning stimulus painfulness, gender and personality variables matter?

    Michal Granot;Irit Weissman-Fogel;Yonathan Crispel;Dorit Pud

  • Reliability of conditioned pain modulation: a systematic review.

    Donna L. Kennedy;Harriet I. Kemp;Deborah Ridout;David Yarnitsky

  • Heat pain thresholds: normative data and repeatability

    David Yarnitsky;Elliot Sprecher;Ruth Zaslansky;Jeshayachu A. Hemli

  • Thermal testing: normative data and repeatability for various test algorithms.

    David Yarnitsky;Elliot Sprecher

  • Patient phenotyping in clinical trials of chronic pain treatments: IMMPACT recommendations

    Robert R. Edwards;Robert H. Dworkin;Dennis C. Turk;Martin S. Angst

  • Role of endogenous pain modulation in chronic pain mechanisms and treatment.

    David Yarnitsky

  • Quantitative measurement of pain sensation in patients with Parkinson disease

    R. Djaldetti;A. Shifrin;Z. Rogowski;E. Sprecher

  • Mechanical hyperalgesias in neuropathic pain patients: dynamic and static subtypes.

    José L. Ochoa;David Yarnitsky

  • Postcesarean Section Pain Prediction by Preoperative Experimental Pain Assessment

    Michal Granot;Lior Lowenstein;David Yarnitsky;Ada Tamir

  • Conditioned pain modulation.

    Rony-Reuven Nir;David Yarnitsky

  • Studies of heat pain sensation in man: perception thresholds, rate of stimulus rise and reaction time

    David Yarnitsky;Jose L. Ochoa

Frequent Co-Authors

Lars Arendt-Nielsen
Lars Arendt-Nielsen Aalborg University
Andrew S.C. Rice
Andrew S.C. Rice Imperial College London
Robert C. Coghill
Robert C. Coghill Cincinnati Children's Hospital Medical Center
Per Hansson
Per Hansson Karolinska Institute
Ralf Baron
Ralf Baron Kiel University
Roy Freeman
Roy Freeman Beth Israel Deaconess Medical Center
Robert R. Edwards
Robert R. Edwards Brigham and Women's Hospital
Didier Bouhassira
Didier Bouhassira Grenoble Alpes University
Nadine Attal
Nadine Attal Grenoble Alpes University
Troels S. Jensen
Troels S. Jensen Aarhus University

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