David Schafflick
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 10%
Papers in
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- Neuroinflammation and Neurodegeneration Mechanisms 4
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- Immune cells in cancer 3
- Immune Response and Inflammation 2
- Immunotherapy and Immune Responses 1
- T-cell and B-cell Immunology 1
- Co-authors
- Gerd Meyer zu Hörste (7 shared papers)Heinz Wiendl (6 shared papers)Michael Heming (5 shared papers)Jolien Wolbert (3 shared papers)Sven G. Meuth (3 shared papers)Tanja Kuhlmann (2 shared papers)Tobias Lautwein (2 shared papers)Nir Yosef (1 shared paper)
- Journals
- Nature Communications (2 papers)Proceedings of the National Academy of Sciences (2 papers)Translational Psychiatry (1 paper)Biochemical Journal (1 paper)Journal of Neuroinflammation (1 paper)
- Partner nations
- GermanyUnited StatesBrazil
In The Last Decade
David Schafflick
8 papers receiving 576 citations
David Schafflick's Hit Papers
Peers
Comparison fields: 5 of 70
- Neurology 231
- Biological Psychiatry 28
- Immunology 225
- Developmental Neuroscience 42
- Pathology and Forensic Medicine 93
Countries citing papers authored by David Schafflick
This map shows the geographic impact of David Schafflick'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 Schafflick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Schafflick more than expected).
Fields of papers citing papers by David Schafflick
This network shows the impact of papers produced by David Schafflick. 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 Schafflick. The network helps show where David Schafflick may publish in the future.
Co-authors
The 25 scholars most cited alongside David Schafflick, 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 | Integrated single cell analysis of blood and cerebrospinal fluid leukocytes in multiple sclerosis Hit paper breakdown → | 2020 | 271 |
| 2 | 2021 | 126 | |
| 3 | 2022 | 68 | |
| 4 | 2017 | 30 | |
| 5 | 2019 | 24 | |
| 6 | 2021 | 23 | |
| 7 | 2022 | 22 | |
| 8 | 2016 | 18 |
About David Schafflick
David Schafflick is a scholar working on Neurology, Immunology, Molecular Biology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 582 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Immune cells in cancer (3 papers), Single-cell and spatial transcriptomics (2 papers), Immune Response and Inflammation (2 papers), Metalloenzymes and iron-sulfur proteins (1 paper), Immunotherapy and Immune Responses (1 paper), Phosphodiesterase function and regulation (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Neurology (231 citations), Biological Psychiatry (28 citations), Immunology (225 citations), Developmental Neuroscience (42 citations) and Pathology and Forensic Medicine (93 citations). David Schafflick has collaborated with scholars based in Germany, United States and Brazil. Frequent co-authors include Gerd Meyer zu Hörste, Heinz Wiendl, Michael Heming, Jolien Wolbert, Sven G. Meuth, Tanja Kuhlmann, Tobias Lautwein, Nir Yosef, Michael B. Cole and Chenling Xu. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Translational Psychiatry, Biochemical Journal and Journal of Neuroinflammation.
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.