Eva Auffenberg
Impact in
- Neurology top 10%
- Peripheral Neuropathies and Disorders
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- Neuroscience and Neuropharmacology Research
- Hereditary Neurological Disorders
- Neuroscience and Neural Engineering
Papers in
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- Neuroscience and Neural Engineering 2
- Hereditary Neurological Disorders 2
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- Peripheral Neuropathies and Disorders 2
- Neurological disorders and treatments 1
- Co-authors
- Natalie Winter (3 shared papers)Hubertus Axer (3 shared papers)Nele Dammeier (3 shared papers)Alexander Grimm (3 shared papers)Holger Lerche (4 shared papers)Tim W. Rattay (2 shared papers)Marilin Koch (2 shared papers)Angela Jurik (2 shared papers)
- Journals
- Scientific Reports (2 papers)Neurotherapeutics (2 papers)Cephalalgia (2 papers)Clinical Neurophysiology (1 paper)Pain (1 paper)
- Partner nations
- GermanyNorwaySwitzerland
In The Last Decade
Eva Auffenberg
10 papers receiving 334 citations
Peers
Comparison fields: 5 of 55
- Neurology 113
- Cellular and Molecular Neuroscience 126
- Developmental Neuroscience 14
- Psychiatry and Mental health 49
- Radiology, Nuclear Medicine and Imaging 61
Countries citing papers authored by Eva Auffenberg
This map shows the geographic impact of Eva Auffenberg'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 Eva Auffenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Auffenberg more than expected).
Fields of papers citing papers by Eva Auffenberg
This network shows the impact of papers produced by Eva Auffenberg. 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 Eva Auffenberg. The network helps show where Eva Auffenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Auffenberg, 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 | 2018 | 71 | |
| 2 | 2015 | 58 | |
| 3 | 2017 | 53 | |
| 4 | 2021 | 46 | |
| 5 | 2017 | 41 | |
| 6 | 2019 | 33 | |
| 7 | 2015 | 24 | |
| 8 | 2016 | 11 | |
| 9 | A novel mouse model for familial hemiplegic migraine type 3 reveals increased susceptibility for cortical spreading depression | 2017 | 2 |
| 10 | 2018 | 2 |
About Eva Auffenberg
Eva Auffenberg is a scholar working on Cellular and Molecular Neuroscience, Neurology, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 10 papers that have together received 341 indexed citations. Recurring topics across this work include Migraine and Headache Studies (3 papers), Neuroscience and Neural Engineering (2 papers), Peripheral Neuropathies and Disorders (2 papers), Peripheral Nerve Disorders (2 papers), Hereditary Neurological Disorders (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Neurological disorders and treatments (1 paper) and Biochemical effects in animals (1 paper). The work is most often cited by research in Neurology (113 citations), Cellular and Molecular Neuroscience (126 citations), Developmental Neuroscience (14 citations), Psychiatry and Mental health (49 citations) and Radiology, Nuclear Medicine and Imaging (61 citations). Eva Auffenberg has collaborated with scholars based in Germany, Norway and Switzerland. Frequent co-authors include Natalie Winter, Hubertus Axer, Nele Dammeier, Alexander Grimm, Holger Lerche, Tim W. Rattay, Marilin Koch, Angela Jurik, Roland M. Schmid and Carsten T. Wotjak. Their work appears in journals such as Scientific Reports, Neurotherapeutics, Cephalalgia, Clinical Neurophysiology and Pain.
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.