David C. Schöndorf
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 2
- Geriatrics and Gerontology top 5%
- Physiology top 5%
- Alzheimer's disease research and treatments 4
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 2
- Physiology top 5%
- Alzheimer's disease research and treatments 4
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- Autophagy in Disease and Therapy 2
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- Pluripotent Stem Cells Research 2
- Cell death mechanisms and regulation 1
- Signaling Pathways in Disease 1
- CRISPR and Genetic Engineering 1
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- Nuclear Receptors and Signaling 2
- Co-authors
- Thomas GasserMichela DeleidiLukas SchwarzJan PruszakBenjamin SchmidChristopher J. HindleyFlorian MayerS. Pablo Sardi
- Journals
- Nature Communications (3 papers)Neurobiology of Disease (2 papers)Acta Neuropathologica Communications (1 paper)
- Partner nations
- GermanyLuxembourgUnited States
In The Last Decade
David C. Schöndorf
11 papers receiving 885 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Neurology 349
- Geriatrics and Gerontology 67
- Physiology 75
- Neurology 135
- Physiology 414
Countries citing papers authored by David C. Schöndorf
This map shows the geographic impact of David C. Schöndorf'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 David C. Schöndorf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Schöndorf more than expected).
Fields of papers citing papers by David C. Schöndorf
This network shows the impact of papers produced by David C. Schöndorf. 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 David C. Schöndorf. The network helps show where David C. Schöndorf may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David C. Schöndorf, 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 | 7 | |
| 2 | 2023 | 4 | |
| 3 | 2021 | 19 | |
| 4 | 2020 | 87 | |
| 5 | 2019 | 22 | |
| 6 | 2019 | 63 | |
| 7 | 2018 | 21 | |
| 8 | 2018 | 243 | |
| 9 | 2018 | 5 | |
| 10 | 2014 | 16 | |
| 11 | iPSC-derived neurons from GBA1-associated Parkinson’s disease patients show autophagic defects and impaired calcium homeostasisbreakdown → | 2014 | 406 |
About David C. Schöndorf
David C. Schöndorf is a scholar working on Structural Biology, Aging and Geriatrics and Gerontology, having authored 11 papers that have together received 893 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Autophagy in Disease and Therapy (2 papers), Pluripotent Stem Cells Research (2 papers), Nuclear Receptors and Signaling (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Cell death mechanisms and regulation (1 paper), Signaling Pathways in Disease (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Neurology (349 citations), Geriatrics and Gerontology (67 citations) and Physiology (75 citations). David C. Schöndorf has collaborated with scholars based in Germany, Luxembourg and United States. Frequent co-authors include Thomas Gasser, Michela Deleidi, Lukas Schwarz, Jan Pruszak, Benjamin Schmid, Christopher J. Hindley, Florian Mayer, S. Pablo Sardi, Lamya S. Shihabuddin and Sandro Sonnino. Their work appears in journals such as Nature Communications, Neurobiology of Disease, Acta Neuropathologica Communications, Cell Reports and BMC Neurology.
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.