2026 David Yarnitsky: Neuroscience Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Neuroscience	76	1912	1745	14	12	235	22343

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Neuroscience

1912

1745

235

22343

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

1297
Citations
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

935
Citations
Conditioned pain modulation (the diffuse noxious inhibitory control-like effect): its relevance for acute and chronic pain states.

David Yarnitsky

895
Citations
Prediction of chronic post-operative pain: pre-operative DNIC testing identifies patients at risk.

David Yarnitsky;Yonathan Crispel;Elon Eisenberg;Yelena Granovsky

854
Citations
Quantitative sensory testing

David Yarnitsky

634
Citations
Value of quantitative sensory testing in neurological and pain disorders: NeuPSIG consensus.

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

611
Citations
Experimental and clinical applications of quantitative sensory testing applied to skin, muscles and viscera.

Lars Arendt-Nielsen;David Yarnitsky

606
Citations
Conditioned pain modulation predicts duloxetine efficacy in painful diabetic neuropathy

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

598
Citations
Recommendations on terminology and practice of psychophysical DNIC testing.

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

566
Citations
Recommendations on practice of conditioned pain modulation (CPM) testing.

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

556
Citations
The methodology of experimentally induced diffuse noxious inhibitory control (DNIC)-like effect in humans.

Dorit Pud;Yelena Granovsky;David Yarnitsky

520
Citations
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

476
Citations
Reliability of conditioned pain modulation: a systematic review.

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

448
Citations
Heat pain thresholds: normative data and repeatability

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

440
Citations
Thermal testing: normative data and repeatability for various test algorithms.

David Yarnitsky;Elliot Sprecher

437
Citations
Patient phenotyping in clinical trials of chronic pain treatments: IMMPACT recommendations

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

428
Citations
Role of endogenous pain modulation in chronic pain mechanisms and treatment.

David Yarnitsky

396
Citations
Quantitative measurement of pain sensation in patients with Parkinson disease

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

372
Citations
Mechanical hyperalgesias in neuropathic pain patients: dynamic and static subtypes.

José L. Ochoa;David Yarnitsky

360
Citations
Postcesarean Section Pain Prediction by Preoperative Experimental Pain Assessment

Michal Granot;Lior Lowenstein;David Yarnitsky;Ada Tamir

320
Citations
Conditioned pain modulation.

Rony-Reuven Nir;David Yarnitsky

292
Citations
Studies of heat pain sensation in man: perception thresholds, rate of stimulus rise and reaction time

David Yarnitsky;Jose L. Ochoa

281
Citations