Maik Wacker
Impact in
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
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- Nuclear Receptors and Signaling
- Genetic Neurodegenerative Diseases
Papers in
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- Mitochondrial Function and Pathology 4
- Ubiquitin and proteasome pathways 1
- S100 Proteins and Annexins 1
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- Genetic Neurodegenerative Diseases 2
- Co-authors
- Joachim Klose (5 shared papers)Dijana Šagi (2 shared papers)Matthew S. Goldberg (1 shared paper)Stefan Krauß (1 shared paper)Jie Shen (1 shared paper)James Palacino (1 shared paper)Claus Zabel (3 shared papers)Grit Nebrich (3 shared papers)
- Journals
- PROTEOMICS (2 papers)Molecular & Cellular Proteomics (1 paper)International Journal of Molecular Medicine (1 paper)Journal of Proteome Research (1 paper)Cell Death and Differentiation (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Maik Wacker
8 papers receiving 1.0k citations
Maik Wacker's Hit Papers
Peers
Comparison fields: 5 of 80
- Neurology 528
- Cellular and Molecular Neuroscience 370
- Neurology 142
- Physiology 203
- Molecular Biology 530
Countries citing papers authored by Maik Wacker
This map shows the geographic impact of Maik Wacker'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 Maik Wacker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maik Wacker more than expected).
Fields of papers citing papers by Maik Wacker
This network shows the impact of papers produced by Maik Wacker. 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 Maik Wacker. The network helps show where Maik Wacker may publish in the future.
Co-authors
The 25 scholars most cited alongside Maik Wacker, 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 | Mitochondrial Dysfunction and Oxidative Damage in parkin-deficient Mice Hit paper breakdown → | 2004 | 790 |
| 2 | 2008 | 62 | |
| 3 | 2006 | 50 | |
| 4 | 2005 | 49 | |
| 5 | 2006 | 47 | |
| 6 | 2007 | 22 | |
| 7 | 2004 | 8 | |
| 8 | Ethidium bromide and hepatic mitochondrial structure in mice. A morphometric analysis. | 1976 | 4 |
About Maik Wacker
Maik Wacker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Neurology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Genetic Neurodegenerative Diseases (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Ubiquitin and proteasome pathways (1 paper), Alzheimer's disease research and treatments (1 paper), Cardiovascular Effects of Exercise (1 paper), S100 Proteins and Annexins (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Neurology (528 citations), Cellular and Molecular Neuroscience (370 citations), Neurology (142 citations), Physiology (203 citations) and Molecular Biology (530 citations). Maik Wacker has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Joachim Klose, Dijana Šagi, Matthew S. Goldberg, Stefan Krauß, Jie Shen, James Palacino, Claus Zabel, Grit Nebrich, Angela M. Kaindl and Lei Mao. Their work appears in journals such as PROTEOMICS, Molecular & Cellular Proteomics, International Journal of Molecular Medicine, Journal of Proteome Research and Cell Death and Differentiation.
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.