Anne Grünewald
- Neurology top 0.5%
- Parkinson's Disease Mechanisms and Treatments 45
- Neurological disorders and treatments 9
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments 45
- Neurological disorders and treatments 9
- Neuroinflammation and Neurodegeneration Mechanisms 7
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- Genetic Neurodegenerative Diseases 10
- Nuclear Receptors and Signaling 7
- Clinical Biochemistry top 2%
- Developmental Neuroscience top 5%
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- Mitochondrial Function and Pathology 19
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- Autophagy in Disease and Therapy 14
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- Genetics and Neurodevelopmental Disorders 7
- Co-authors
- Christine KleinCarolyn M. SueKishore R. KumarAleksandar RakovićSandro L. PereiraPhilip SeiblerKatja LohmannSemra Smajić
- Partner nations
- GermanyLuxembourgUnited Kingdom
In The Last Decade
Anne Grünewald
75 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Neurology 1.9k
- Neurology 821
- Cellular and Molecular Neuroscience 1.1k
- Clinical Biochemistry 260
- Developmental Neuroscience 127
Countries citing papers authored by Anne Grünewald
This map shows the geographic impact of Anne Grünewald'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 Anne Grünewald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Grünewald more than expected).
Fields of papers citing papers by Anne Grünewald
This network shows the impact of papers produced by Anne Grünewald. 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 Anne Grünewald. The network helps show where Anne Grünewald may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anne Grünewald, 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 | 2025 | 5 | |
| 2 | 2025 | 9 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 8 | |
| 7 | 2022 | 16 | |
| 8 | Single-cell sequencing of human midbrain reveals glial activation and a Parkinson-specific neuronal statebreakdown → | 2021 | 306 |
| 9 | 2021 | 18 | |
| 10 | 2020 | 22 | |
| 11 | 2019 | 66 | |
| 12 | 2014 | 278 | |
| 13 | 2014 | 18 | |
| 14 | 2013 | 32 | |
| 15 | 2013 | 33 | |
| 16 | 2012 | 175 | |
| 17 | 2012 | 113 | |
| 18 | 2011 | 189 | |
| 19 | 2010 | 122 | |
| 20 | 1995 | 62 |
About Anne Grünewald
Anne Grünewald is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 77 papers that have together received 4.1k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (45 papers), Mitochondrial Function and Pathology (19 papers), Autophagy in Disease and Therapy (14 papers), Genetic Neurodegenerative Diseases (10 papers), Neurological disorders and treatments (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Genetics and Neurodevelopmental Disorders (7 papers) and Nuclear Receptors and Signaling (7 papers). The work is most often cited by research in Neurology (1.9k citations), Neurology (821 citations) and Cellular and Molecular Neuroscience (1.1k citations). Anne Grünewald has collaborated with scholars based in Germany, Luxembourg and United Kingdom. Frequent co-authors include Christine Klein, Carolyn M. Sue, Kishore R. Kumar, Aleksandar Raković, Sandro L. Pereira, Philip Seibler, Katja Lohmann, Semra Smajić, Alexander Skupin and Karolina A. Rygiel. Their work appears in journals such as Science, Journal of Biological Chemistry and PLoS ONE.
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.