Daniela Varges
Impact in
- Molecular Biology top 2%
- Prion Diseases and Protein Misfolding
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Barrier Structure and Function Studies
- Autoimmune Neurological Disorders and Treatments
Papers in
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- Prion Diseases and Protein Misfolding 27
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- Parkinson's Disease Mechanisms and Treatments 7
- Co-authors
- Inga Zerr (42 shared papers)Matthias Schmitz (22 shared papers)Uta Heinemann (16 shared papers)Anna Krasnianski (15 shared papers)Walter Schulz‐Schaeffer (15 shared papers)Bettina Meißner (11 shared papers)Hans A. Kretzschmar (10 shared papers)Kai Kallenberg (9 shared papers)
In The Last Decade
Daniela Varges
44 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 50
- Molecular Biology 1.6k
- Neurology 169
- Psychiatry and Mental health 203
- Neurology 47
- Anatomy 2
Countries citing papers authored by Daniela Varges
This map shows the geographic impact of Daniela Varges'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 Varges with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Varges more than expected).
Fields of papers citing papers by Daniela Varges
This network shows the impact of papers produced by Daniela Varges. 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 Varges. The network helps show where Daniela Varges may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Varges, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 706 | |
| 2 | 2015 | 166 | |
| 3 | 2007 | 151 | |
| 4 | 2014 | 93 | |
| 5 | 2020 | 87 | |
| 6 | 2006 | 73 | |
| 7 | 2009 | 73 | |
| 8 | 2015 | 71 | |
| 9 | 2016 | 71 | |
| 10 | 2018 | 71 | |
| 11 | 2005 | 67 | |
| 12 | 2008 | 63 | |
| 13 | 2008 | 59 | |
| 14 | 2019 | 59 | |
| 15 | 2016 | 48 | |
| 16 | 2005 | 46 | |
| 17 | 2013 | 44 | |
| 18 | 2021 | 38 | |
| 19 | 2016 | 37 | |
| 20 | 2016 | 29 |
About Daniela Varges
Daniela Varges is a scholar working on Molecular Biology, Neurology, Psychiatry and Mental health, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 45 papers that have together received 2.4k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (27 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Neurology (169 citations), Psychiatry and Mental health (203 citations), Neurology (47 citations) and Anatomy (2 citations). Daniela Varges has collaborated with scholars based in Germany, Spain and Slovakia. Frequent co-authors include Inga Zerr, Matthias Schmitz, Uta Heinemann, Anna Krasnianski, Walter Schulz‐Schaeffer, Bettina Meißner, Hans A. Kretzschmar, Kai Kallenberg, Franc Llorens and Maria Cramm. Their work appears in journals such as Journal of Alzheimer s Disease, Molecular Neurobiology, Alzheimer s & Dementia, Journal of Neurology and Movement Disorders.
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.