Andreas Eigentler
Impact in
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- Genetic Neurodegenerative Diseases
- Neurology top 10%
- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Genetic Neurodegenerative Diseases 18
- Hereditary Neurological Disorders 3
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- Mitochondrial Function and Pathology 6
- Pluripotent Stem Cells Research 3
- CRISPR and Genetic Engineering 3
- Muscle Physiology and Disorders 2
- Co-authors
- Sylvia Boesch (23 shared papers)Wolfgang Nachbauer (21 shared papers)Werner Poewe (8 shared papers)Elisabetta Indelicato (13 shared papers)Rainer Schneider (3 shared papers)Roxana Nat (5 shared papers)Julia Wanschitz (6 shared papers)Georg Dechant (4 shared papers)
In The Last Decade
Andreas Eigentler
26 papers receiving 438 citations
Peers
Comparison fields: 5 of 53
- Cellular and Molecular Neuroscience 299
- Neurology 101
- Developmental Neuroscience 15
- Molecular Biology 236
- Neurology 27
Countries citing papers authored by Andreas Eigentler
This map shows the geographic impact of Andreas Eigentler'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 Andreas Eigentler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Eigentler more than expected).
Fields of papers citing papers by Andreas Eigentler
This network shows the impact of papers produced by Andreas Eigentler. 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 Andreas Eigentler. The network helps show where Andreas Eigentler may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Eigentler, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 47 | |
| 2 | 2013 | 40 | |
| 3 | 2020 | 40 | |
| 4 | 2011 | 36 | |
| 5 | 2018 | 34 | |
| 6 | 2012 | 31 | |
| 7 | 2013 | 26 | |
| 8 | 2017 | 25 | |
| 9 | 2013 | 20 | |
| 10 | 2018 | 19 | |
| 11 | 2018 | 18 | |
| 12 | 2014 | 17 | |
| 13 | 2011 | 16 | |
| 14 | 2017 | 15 | |
| 15 | 2021 | 13 | |
| 16 | 2015 | 13 | |
| 17 | 2021 | 9 | |
| 18 | 2023 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2023 | 5 |
About Andreas Eigentler
Andreas Eigentler is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Physiology and Rheumatology, having authored 26 papers that have together received 451 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (18 papers), Mitochondrial Function and Pathology (6 papers), Pluripotent Stem Cells Research (3 papers), Hereditary Neurological Disorders (3 papers), CRISPR and Genetic Engineering (3 papers), Muscle Physiology and Disorders (2 papers), Biomedical Ethics and Regulation (2 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (299 citations), Neurology (101 citations), Developmental Neuroscience (15 citations), Molecular Biology (236 citations) and Neurology (27 citations). Andreas Eigentler has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Sylvia Boesch, Wolfgang Nachbauer, Werner Poewe, Elisabetta Indelicato, Rainer Schneider, Roxana Nat, Julia Wanschitz, Georg Dechant, Iris Unterberger and Margarete Delazer. Their work appears in journals such as Journal of Neurology, The Cerebellum, Journal of Neuropathology & Experimental Neurology, Stem Cells and Development and Human Molecular Genetics.
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.