Daniela Mohr
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 2
- Neurotransmitter Receptor Influence on Behavior 2
- Hereditary Neurological Disorders 1
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- Receptor Mechanisms and Signaling 2
- Co-authors
- Francesco Ferrini (2 shared papers)Thomas Del’Guidice (1 shared paper)Simon Beggs (2 shared papers)Sophie Laffray (2 shared papers)Wenbo Zhang (1 shared paper)Annie Castonguay (2 shared papers)Antoine G. Godin (2 shared papers)Nicolas Doyon (2 shared papers)
- Journals
- Neuroreport (1 paper)Behavioural Brain Research (1 paper)BMC Medical Education (1 paper)Nature Neuroscience (1 paper)P. Lang eBooks (1 paper)
- Partner nations
- GermanySwitzerlandCanada
In The Last Decade
Daniela Mohr
4 papers receiving 378 citations
Peers
Comparison fields: 5 of 63
- Cellular and Molecular Neuroscience 208
- Neurology 87
- Physiology 230
- Physiology 28
- Anesthesiology and Pain Medicine 28
Countries citing papers authored by Daniela Mohr
This map shows the geographic impact of Daniela Mohr'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 Daniela Mohr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Mohr more than expected).
Fields of papers citing papers by Daniela Mohr
This network shows the impact of papers produced by Daniela Mohr. 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 Daniela Mohr. The network helps show where Daniela Mohr may publish in the future.
Co-authors
The 23 scholars most cited alongside Daniela Mohr, 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 | 2013 | 347 | |
| 2 | 2020 | 26 | |
| 3 | 2007 | 8 | |
| 4 | 2009 | 8 | |
| 5 | Das nomadische Subjekt : Ich-Entgrenzung in der Prosa Robert Walsers | 1994 | 0 |
| 6 | 2013 | 0 |
About Daniela Mohr
Daniela Mohr is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, General Health Professions and Classics, having authored 6 papers that have together received 389 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Sympathectomy and Hyperhidrosis Treatments (1 paper), Hereditary Neurological Disorders (1 paper), Pain Mechanisms and Treatments (1 paper), Patient-Provider Communication in Healthcare (1 paper) and Myofascial pain diagnosis and treatment (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (208 citations), Neurology (87 citations), Physiology (230 citations), Physiology (28 citations) and Anesthesiology and Pain Medicine (28 citations). Daniela Mohr has collaborated with scholars based in Germany, Switzerland and Canada. Frequent co-authors include Francesco Ferrini, Thomas Del’Guidice, Simon Beggs, Sophie Laffray, Wenbo Zhang, Annie Castonguay, Antoine G. Godin, Nicolas Doyon, Karen Vandal and Michael W. Salter. Their work appears in journals such as Neuroreport, Behavioural Brain Research, BMC Medical Education, Nature Neuroscience and P. Lang eBooks.
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.