David Yarnitsky
Impact in
- Physiology top 0.05%
- Pain Mechanisms and Treatments
- Pharmacology top 0.05%
- Musculoskeletal pain and rehabilitation
Papers in
- Physiology 90
- Pain Mechanisms and Treatments 81
- Neurology 43
- Botulinum Toxin and Related Neurological Disorders 16
- Intracranial Aneurysms: Treatment and Complications 11
- Co-authors
- Elliot SprecherYelena GranovskyMichal GranotJosé L. OchoaDorit PudRony‐Reuven NirLars Arendt‐NielsenHadas Nahman‐Averbuch
- Journals
- Pain (38 papers)European Journal of Pain (10 papers)Journal of Pain (7 papers)Journal of the Neurological Sciences (7 papers)Brain (5 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
David Yarnitsky
183 papers receiving 13.7k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Physiology 8.2k
- Pharmacology 4.7k
- Anesthesiology and Pain Medicine 1.4k
- Psychiatry and Mental health 3.4k
- Cognitive Neuroscience 3.4k
Countries citing papers authored by David Yarnitsky
This map shows the geographic impact of David Yarnitsky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Yarnitsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Yarnitsky more than expected).
Fields of papers citing papers by David Yarnitsky
This network shows the impact of papers produced by David Yarnitsky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Yarnitsky. The network helps show where David Yarnitsky may publish in the future.
Co-authors
The 25 scholars most cited alongside David Yarnitsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 33 | |
| 5 | Neuropathic pain phenotyping by international consensus (NeuroPPIC) for genetic studies: a NeuPSIG systematic review, Delphi survey, and expert panel recommendations (vol 156, pg 2337, 2015) | 2017 | 0 |
| 6 | 2015 | 36 | |
| 7 | 2013 | 58 | |
| 8 | 2011 | 55 | |
| 9 | 2010 | 86 | |
| 10 | 2010 | 28 | |
| 11 | 2009 | 128 | |
| 12 | 2008 | 26 | |
| 13 | 2005 | 49 | |
| 14 | 2005 | 76 | |
| 15 | 2004 | 46 | |
| 16 | 2004 | 13 | |
| 17 | 2004 | 21 | |
| 18 | 1999 | 73 | |
| 19 | 1998 | 3 | |
| 20 | 1996 | 101 |
About David Yarnitsky
David Yarnitsky is a scholar working on Physiology, Neurology, Cognitive Neuroscience, Anesthesiology and Pain Medicine and Pharmacology, having authored 185 papers that have together received 14.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (81 papers), Musculoskeletal pain and rehabilitation (41 papers), Pain Management and Placebo Effect (41 papers), Heart Rate Variability and Autonomic Control (19 papers), Botulinum Toxin and Related Neurological Disorders (16 papers), Migraine and Headache Studies (15 papers), Cerebrovascular and Carotid Artery Diseases (15 papers) and Intracranial Aneurysms: Treatment and Complications (11 papers). The work is most often cited by research in Physiology (8.2k citations), Pharmacology (4.7k citations), Anesthesiology and Pain Medicine (1.4k citations), Psychiatry and Mental health (3.4k citations) and Cognitive Neuroscience (3.4k citations). David Yarnitsky has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Elliot Sprecher, Yelena Granovsky, Michal Granot, José L. Ochoa, Dorit Pud, Rony‐Reuven Nir, Lars Arendt‐Nielsen, Hadas Nahman‐Averbuch, Rami Burstein and Itay Goor‐Aryeh. Their work appears in journals such as Pain, European Journal of Pain, Journal of Pain, Journal of the Neurological Sciences and Brain.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.