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 2
- Pharmacological Effects of Natural Compounds 1
- Inflammatory mediators and NSAID effects 1
- 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)Alexander M. Binshtok (1 shared paper)Lin Shi (1 shared paper)Fumimasa Amaya (1 shared paper)
- Journals
- Pain Medicine (3 papers)Journal of Neuroscience (3 papers)Molecular Pain (1 paper)Neuron (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel Vardeh
13 papers receiving 1.6k citations
Daniel Vardeh's Hit Papers
Peers
Comparison fields: 5 of 101
- Physiology 924
- Cellular and Molecular Neuroscience 409
- Neurology 171
- Behavioral Neuroscience 60
- Sensory Systems 74
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 | 579 |
| 2 | 2009 | 348 | |
| 3 | 2016 | 241 | |
| 4 | 2009 | 115 | |
| 5 | 2013 | 99 | |
| 6 | 2014 | 89 | |
| 7 | 2009 | 78 | |
| 8 | 2016 | 35 | |
| 9 | 2017 | 20 | |
| 10 | 2013 | 17 | |
| 11 | 2016 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2017 | 1 |
About Daniel Vardeh
Daniel Vardeh is a scholar working on Physiology, Pharmacology, Cellular and Molecular Neuroscience, Molecular Biology and Surgery, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (9 papers), Musculoskeletal pain and rehabilitation (2 papers), Pharmacological Effects of Natural Compounds (1 paper), Ion channel regulation and function (1 paper), Nerve injury and regeneration (1 paper), Vasculitis and related conditions (1 paper), Inflammatory mediators and NSAID effects (1 paper) and Acupuncture Treatment Research Studies (1 paper). The work is most often cited by research in Physiology (924 citations), Cellular and Molecular Neuroscience (409 citations), Neurology (171 citations), Behavioral Neuroscience (60 citations) and Sensory Systems (74 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, Alexander M. Binshtok, Lin Shi, Fumimasa Amaya, Ru‐Rong Ji and Bruce P. Bean. Their work appears in journals such as Pain Medicine, Journal of Neuroscience, Molecular Pain, Neuron and Journal of Clinical Investigation.
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.