Daniel Vardeh
Impact in
- Physiology top 2%
- Pain Mechanisms and Treatments
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- Pain Management and Treatment
- Pain Management and Opioid Use
Papers in
- Physiology 11
- Pain Mechanisms and Treatments 11
-
- Pain Management and Opioid Use 1
- Pain Management and Treatment 1
- Co-authors
- Clifford J. Woolf (5 shared papers)Richard Mannion (1 shared paper)Gary J. Brenner (2 shared papers)Tarek A. Samad (2 shared papers)Michael Costigan (3 shared papers)Alexander M. Binshtok (1 shared paper)Haibin Wang (1 shared paper)Ru‐Rong Ji (1 shared paper)
- Journals
- Pain Medicine (3 papers)Journal of Neuroscience (3 papers)Journal of Pain (2 papers)Journal of Clinical Investigation (1 paper)Neurology (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel Vardeh
14 papers receiving 1.7k citations
Daniel Vardeh's Hit Papers
Peers
Comparison fields: 5 of 89
- Physiology 1.1k
- Anesthesiology and Pain Medicine 105
- Neurology 77
- Pharmacology 149
- Sensory Systems 46
Countries citing papers authored by Daniel Vardeh
This map shows the geographic impact of Daniel Vardeh'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 Daniel Vardeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Vardeh more than expected).
Fields of papers citing papers by Daniel Vardeh
This network shows the impact of papers produced by Daniel Vardeh. 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 Daniel Vardeh. The network helps show where Daniel Vardeh may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Vardeh, 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 | Nociceptors Are Interleukin-1β Sensors Hit paper breakdown → | 2008 | 593 |
| 2 | 2009 | 361 | |
| 3 | 2016 | 261 | |
| 4 | 2009 | 115 | |
| 5 | 2013 | 100 | |
| 6 | 2014 | 93 | |
| 7 | 2009 | 86 | |
| 8 | 2022 | 69 | |
| 9 | 2016 | 35 | |
| 10 | 2017 | 19 | |
| 11 | 2013 | 18 | |
| 12 | 2016 | 1 | |
| 13 | 2017 | 1 | |
| 14 | 2020 | 1 |
About Daniel Vardeh
Daniel Vardeh is a scholar working on Physiology, Anesthesiology and Pain Medicine, Pharmacology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (11 papers), Musculoskeletal pain and rehabilitation (2 papers), Vasculitis and related conditions (1 paper), Pain Management and Opioid Use (1 paper), Anesthesia and Pain Management (1 paper), Hereditary Neurological Disorders (1 paper), Spine and Intervertebral Disc Pathology (1 paper) and Pain Management and Treatment (1 paper). The work is most often cited by research in Physiology (1.1k citations), Anesthesiology and Pain Medicine (105 citations), Neurology (77 citations), Pharmacology (149 citations) and Sensory Systems (46 citations). Daniel Vardeh has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Clifford J. Woolf, Richard Mannion, Gary J. Brenner, Tarek A. Samad, Michael Costigan, Alexander M. Binshtok, Haibin Wang, Ru‐Rong Ji, Fumimasa Amaya and Lin Shi. Their work appears in journals such as Pain Medicine, Journal of Neuroscience, Journal of Pain, Journal of Clinical Investigation and Neurology.
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.