Erich E. Wanker
- Cellular and Molecular Neuroscience top 0.05%
- Genetic Neurodegenerative Diseases 81
- Neurology top 0.2%
- Neurological disorders and treatments 20
- Molecular Biology top 0.2%
- Mitochondrial Function and Pathology 64
- Muscle Physiology and Disorders 23
- Ubiquitin and proteasome pathways 20
- Bioinformatics and Genomic Networks 18
- RNA Research and Splicing 13
- Aging top 0.5%
- Physiology top 0.5%
- Alzheimer's disease research and treatments 20
- Co-authors
- Eberhard ScherzingerGillian P. BatesRudi LurzHans LehrachJan BieschkeLaura MangiariniStephen W. DaviesMark Turmaine
- Journals
- Proceedings of the National Academy of Sciences (13 papers)Journal of Molecular Biology (9 papers)Human Molecular Genetics (9 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Erich E. Wanker
176 papers receiving 16.8k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Cellular and Molecular Neuroscience 8.1k
- Neurology 3.3k
- Molecular Biology 12.5k
- Aging 301
- Physiology 3.6k
Countries citing papers authored by Erich E. Wanker
This map shows the geographic impact of Erich E. Wanker'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 Erich E. Wanker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erich E. Wanker more than expected).
Fields of papers citing papers by Erich E. Wanker
This network shows the impact of papers produced by Erich E. Wanker. 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 Erich E. Wanker. The network helps show where Erich E. Wanker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Erich E. Wanker, 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 | 2023 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 20 | |
| 4 | 2022 | 19 | |
| 5 | 2020 | 49 | |
| 6 | 2019 | 13 | |
| 7 | 2018 | 31 | |
| 8 | 2017 | 45 | |
| 9 | 2017 | 85 | |
| 10 | 2016 | 43 | |
| 11 | 2014 | 44 | |
| 12 | 2013 | 65 | |
| 13 | 2013 | 42 | |
| 14 | 2012 | 1 | |
| 15 | 2011 | 59 | |
| 16 | 2011 | 2 | |
| 17 | Comparison of Human Protein-Protein Interaction Maps. | 2006 | 4 |
| 18 | 2005 | 199 | |
| 19 | 2003 | 102 | |
| 20 | 1998 | 8 |
About Erich E. Wanker
Erich E. Wanker is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Cell Biology and Physiology, having authored 178 papers that have together received 17.1k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (81 papers), Mitochondrial Function and Pathology (64 papers), Muscle Physiology and Disorders (23 papers), Ubiquitin and proteasome pathways (20 papers), Alzheimer's disease research and treatments (20 papers), Neurological disorders and treatments (20 papers), Bioinformatics and Genomic Networks (18 papers) and RNA Research and Splicing (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (8.1k citations), Neurology (3.3k citations), Molecular Biology (12.5k citations), Aging (301 citations) and Physiology (3.6k citations). Erich E. Wanker has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Eberhard Scherzinger, Gillian P. Bates, Rudi Lurz, Hans Lehrach, Jan Bieschke, Laura Mangiarini, Stephen W. Davies, Mark Turmaine, Dagmar E. Ehrnhoefer and Annett Boeddrich. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology, Human Molecular Genetics, PLoS ONE and Journal of Biological Chemistry.
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.