David Schafflick

904 total citations · 1 hit paper
8 papers, 555 citations indexed

About

David Schafflick is a scholar working on Neurology, Immunology and Molecular Biology. According to data from OpenAlex, David Schafflick has authored 8 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in David Schafflick's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Immune cells in cancer (3 papers) and Single-cell and spatial transcriptomics (2 papers). David Schafflick is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Immune cells in cancer (3 papers) and Single-cell and spatial transcriptomics (2 papers). David Schafflick collaborates with scholars based in Germany, United States and United Kingdom. David Schafflick's co-authors include Gerd Meyer zu Hörste, Heinz Wiendl, Michael Heming, Jolien Wolbert, Sven G. Meuth, Tanja Kuhlmann, Tobias Lautwein, Chenling Xu, Catharina C. Groß and Andreas Schulte‐Mecklenbeck and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Neuroscience.

In The Last Decade

David Schafflick

8 papers receiving 549 citations

Hit Papers

Integrated single cell analysis of blood and cerebrospina... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Schafflick Germany 8 246 241 162 96 79 8 555
Sandra Larouche Canada 8 135 0.5× 206 0.9× 148 0.9× 76 0.8× 52 0.7× 11 467
Eric Hatterer Switzerland 13 315 1.3× 156 0.6× 118 0.7× 72 0.8× 45 0.6× 23 659
Manuela Paunovic Netherlands 7 193 0.8× 152 0.6× 81 0.5× 224 2.3× 161 2.0× 10 486
Sasha Soldati Switzerland 8 81 0.3× 210 0.9× 117 0.7× 83 0.9× 37 0.5× 12 429
Lutz Menzel Germany 13 108 0.4× 136 0.6× 215 1.3× 38 0.4× 135 1.7× 17 514
Saskia M. Burm Netherlands 10 259 1.1× 332 1.4× 180 1.1× 30 0.3× 33 0.4× 20 599
Ines Siglienti Germany 10 414 1.7× 155 0.6× 134 0.8× 203 2.1× 75 0.9× 16 768
Giorgi Beroshvili United States 2 137 0.6× 223 0.9× 65 0.4× 28 0.3× 46 0.6× 3 398
Evelyn M. Wesseling Netherlands 13 150 0.6× 224 0.9× 154 1.0× 30 0.3× 25 0.3× 16 492
Karen De Vlaminck Belgium 9 457 1.9× 539 2.2× 238 1.5× 38 0.4× 60 0.8× 10 916

Countries citing papers authored by David Schafflick

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Schafflick

This figure shows the co-authorship network connecting the top 25 collaborators of David Schafflick. A scholar is included among the top collaborators of David Schafflick based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Schafflick. David Schafflick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
González-Cano, Laura, Michael Heming, Christian Thomas, et al.. (2022). Deterministic programming of human pluripotent stem cells into microglia facilitates studying their role in health and disease. Proceedings of the National Academy of Sciences. 119(43). e2123476119–e2123476119. 21 indexed citations
2.
Beuker, Carolin, David Schafflick, Jan‐Kolja Strecker, et al.. (2022). Stroke induces disease-specific myeloid cells in the brain parenchyma and pia. Nature Communications. 13(1). 945–945. 64 indexed citations
3.
Börsch, Anna‐Lena, Xiaolin Li, Hanna Gerwien, et al.. (2021). Bcl6 controls meningeal Th17–B cell interaction in murine neuroinflammation. Proceedings of the National Academy of Sciences. 118(36). 22 indexed citations
4.
Schafflick, David, Jolien Wolbert, Michael Heming, et al.. (2021). Single-cell profiling of CNS border compartment leukocytes reveals that B cells and their progenitors reside in non-diseased meninges. Nature Neuroscience. 24(9). 1225–1234. 121 indexed citations
5.
Schafflick, David, Chenling Xu, Michael B. Cole, et al.. (2020). Integrated single cell analysis of blood and cerebrospinal fluid leukocytes in multiple sclerosis. Nature Communications. 11(1). 247–247. 256 indexed citations breakdown →
6.
Trossbach, Svenja V., David Schafflick, René Deenen, et al.. (2019). Dysregulation of a specific immune-related network of genes biologically defines a subset of schizophrenia. Translational Psychiatry. 9(1). 156–156. 23 indexed citations
7.
Schafflick, David, Bernd C. Kieseier, Heinz Wiendl, & Gerd Meyer zu Hörste. (2017). Novel pathomechanisms in inflammatory neuropathies. Journal of Neuroinflammation. 14(1). 232–232. 30 indexed citations
8.
Krausze, J., Ute Curth, Joachim Reichelt, et al.. (2016). Dimerization of the plant molybdenum insertase Cnx1E is required for synthesis of the molybdenum cofactor. Biochemical Journal. 474(1). 163–178. 18 indexed citations

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.

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