Daniel Vardeh
Impact in
- Physiology top 2%
- Pain Mechanisms and Treatments
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- Neuropeptides and Animal Physiology
- Nerve injury and regeneration
Papers in
- Physiology 10
- Pain Mechanisms and Treatments 9
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- Musculoskeletal pain and rehabilitation 3
- Co-authors
- Clifford J. Woolf (5 shared papers)Gary J. Brenner (2 shared papers)Richard Mannion (1 shared paper)Tarek A. Samad (2 shared papers)Michael Costigan (3 shared papers)Bruce P. Bean (1 shared paper)Katharina Zimmermann (1 shared paper)Ru‐Rong Ji (1 shared paper)
- Journals
- Journal of Neuroscience (3 papers)Pain Medicine (1 paper)Pain (1 paper)Journal of Pain (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel Vardeh
11 papers receiving 1.5k citations
Daniel Vardeh's Hit Papers
Peers
Comparison fields: 5 of 101
- Physiology 970
- Cellular and Molecular Neuroscience 441
- Neurology 182
- Behavioral Neuroscience 66
- Sensory Systems 82
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 | 559 |
| 2 | 2009 | 341 | |
| 3 | 2016 | 225 | |
| 4 | 2009 | 112 | |
| 5 | 2013 | 95 | |
| 6 | 2014 | 85 | |
| 7 | 2009 | 76 | |
| 8 | 2016 | 35 | |
| 9 | 2013 | 17 | |
| 10 | 2020 | 1 | |
| 11 | 2016 | 1 |
About Daniel Vardeh
Daniel Vardeh is a scholar working on Physiology, Pharmacology, Cellular and Molecular Neuroscience, Molecular Biology and Pathology and Forensic Medicine, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (9 papers), Musculoskeletal pain and rehabilitation (3 papers), Spine and Intervertebral Disc Pathology (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Nerve injury and regeneration (1 paper), Ion channel regulation and function (1 paper), Hereditary Neurological Disorders (1 paper) and IgG4-Related and Inflammatory Diseases (1 paper). The work is most often cited by research in Physiology (970 citations), Cellular and Molecular Neuroscience (441 citations), Neurology (182 citations), Behavioral Neuroscience (66 citations) and Sensory Systems (82 citations). Daniel Vardeh has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Clifford J. Woolf, Gary J. Brenner, Richard Mannion, Tarek A. Samad, Michael Costigan, Bruce P. Bean, Katharina Zimmermann, Ru‐Rong Ji, Haibin Wang and Fumimasa Amaya. Their work appears in journals such as Journal of Neuroscience, Pain Medicine, Pain, Journal of Pain and Nature Communications.
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.