Christian Tackenberg

1.7k total citations
37 papers, 1.2k citations indexed

About

Christian Tackenberg is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Christian Tackenberg has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 16 papers in Molecular Biology and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Christian Tackenberg's work include Alzheimer's disease research and treatments (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). Christian Tackenberg is often cited by papers focused on Alzheimer's disease research and treatments (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). Christian Tackenberg collaborates with scholars based in Switzerland, United States and Germany. Christian Tackenberg's co-authors include Roland Brandt, Roger M. Nitsch, Ruslan Rust, Adnan Ghori, R. Weber, Anton Gietl, Jitin Bali, Lawrence Rajendran, Luka Kulic and Geertje Mulders and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Christian Tackenberg

35 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Tackenberg Switzerland 21 615 472 444 263 158 37 1.2k
Tara E. Tracy United States 12 567 0.9× 439 0.9× 462 1.0× 253 1.0× 136 0.9× 15 1.1k
Heather C. Rice United States 14 465 0.8× 484 1.0× 324 0.7× 164 0.6× 96 0.6× 22 964
Martín A. Bruno Canada 17 608 1.0× 707 1.5× 705 1.6× 296 1.1× 187 1.2× 23 1.7k
Simone Pacioni Italy 16 334 0.5× 587 1.2× 455 1.0× 150 0.6× 230 1.5× 20 1.4k
Jiaping Gu United States 12 429 0.7× 452 1.0× 531 1.2× 240 0.9× 108 0.7× 17 1.2k
Yaisa Andrews‐Zwilling United States 10 482 0.8× 668 1.4× 572 1.3× 248 0.9× 83 0.5× 16 1.4k
Ann Van der Jeugd Belgium 14 579 0.9× 225 0.5× 403 0.9× 234 0.9× 142 0.9× 20 938
Carli Lattarulo United States 5 757 1.2× 421 0.9× 630 1.4× 429 1.6× 172 1.1× 5 1.3k
Lidia Bakota Germany 20 675 1.1× 520 1.1× 375 0.8× 212 0.8× 171 1.1× 38 1.2k
Liviu‐Gabriel Bodea Australia 14 544 0.9× 504 1.1× 236 0.5× 446 1.7× 103 0.7× 24 1.3k

Countries citing papers authored by Christian Tackenberg

Since Specialization
Citations

This map shows the geographic impact of Christian Tackenberg'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 Christian Tackenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Tackenberg more than expected).

Fields of papers citing papers by Christian Tackenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian Tackenberg. 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 Christian Tackenberg. The network helps show where Christian Tackenberg may publish in the future.

Co-authorship network of co-authors of Christian Tackenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Tackenberg. A scholar is included among the top collaborators of Christian Tackenberg 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 Christian Tackenberg. Christian Tackenberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Weber, R., Ruslan Rust, & Christian Tackenberg. (2025). How neural stem cell therapy promotes brain repair after stroke. Stem Cell Reports. 20(6). 102507–102507. 1 indexed citations
2.
3.
Weber, R., Ruslan Rust, Luca Ravotto, et al.. (2025). APOE genotype-dependent differences in human astrocytic energy metabolism. Frontiers in Cellular Neuroscience. 19. 1603657–1603657.
4.
Weber, R., et al.. (2025). A molecular brain atlas reveals cellular shifts during the repair phase of stroke. Journal of Neuroinflammation. 22(1). 112–112. 6 indexed citations
5.
Weber, R., Mingzi Zhang, Kassandra Kisler, et al.. (2025). Neural xenografts contribute to long-term recovery in stroke via molecular graft-host crosstalk. Nature Communications. 16(1). 8224–8224. 4 indexed citations
6.
Cortijo, Cédric, et al.. (2024). APOE4 Increases Energy Metabolism in APOE-Isogenic iPSC-Derived Neurons. Cells. 13(14). 1207–1207. 3 indexed citations
7.
Weber, R., et al.. (2024). A toolkit for stroke infarct volume estimation in rodents. NeuroImage. 287. 120518–120518. 7 indexed citations
8.
Grünblatt, Edna, Jan Homolak, Ana Babić Perhoč, et al.. (2023). From attention-deficit hyperactivity disorder to sporadic Alzheimer’s disease—Wnt/mTOR pathways hypothesis. Frontiers in Neuroscience. 17. 14 indexed citations
9.
Awwad, Khader, Alla Korepanova, Vladimir Rybin, et al.. (2022). Isoform- and cell-state-specific lipidation of ApoE in astrocytes. Cell Reports. 38(9). 110435–110435. 52 indexed citations
10.
Weber, R., Geertje Mulders, Julia Kaiser, Christian Tackenberg, & Ruslan Rust. (2022). Deep learning-based behavioral profiling of rodent stroke recovery. BMC Biology. 20(1). 232–232. 44 indexed citations
11.
Weber, R., et al.. (2022). Molecular and anatomical roadmap of stroke pathology in immunodeficient mice. Frontiers in Immunology. 13. 1080482–1080482. 11 indexed citations
12.
13.
Weber, R., Lisa Grönnert, Geertje Mulders, et al.. (2020). Characterization of the Blood Brain Barrier Disruption in the Photothrombotic Stroke Model. Frontiers in Physiology. 11. 586226–586226. 34 indexed citations
14.
Rust, Ruslan, Tunahan Kirabali, Lisa Grönnert, et al.. (2020). A Practical Guide to the Automated Analysis of Vascular Growth, Maturation and Injury in the Brain. Frontiers in Neuroscience. 14. 244–244. 31 indexed citations
15.
Tackenberg, Christian, Adnan Ghori, Carlo Ballatore, et al.. (2016). Aβ-mediated spine changes in the hippocampus are microtubule-dependent and can be reversed by a subnanomolar concentration of the microtubule-stabilizing agent epothilone D. Neuropharmacology. 105. 84–95. 40 indexed citations
16.
Camici, Giovanni G., Remo D. Spescha, Tobias Welt, et al.. (2016). Genetic ablation of the p66Shc adaptor protein reverses cognitive deficits and improves mitochondrial function in an APP transgenic mouse model of Alzheimer’s disease. Molecular Psychiatry. 22(4). 605–614. 28 indexed citations
17.
Tackenberg, Christian, Antonella Santuccione Chadha, Uwe Konietzko, et al.. (2013). NMDA receptor subunit composition determines beta-amyloid-induced neurodegeneration and synaptic loss. Cell Death and Disease. 4(4). e608–e608. 111 indexed citations
18.
Sündermann, Frederik, et al.. (2012). High-Resolution Imaging and Evaluation of Spines in Organotypic Hippocampal Slice Cultures. Methods in molecular biology. 846. 277–293. 10 indexed citations
19.
Tackenberg, Christian, Adnan Ghori, & Roland Brandt. (2009). Thin, Stubby or Mushroom: Spine Pathology in Alzheimers Disease. Current Alzheimer Research. 6(3). 261–268. 92 indexed citations
20.
Tackenberg, Christian & Roland Brandt. (2009). Divergent Pathways Mediate Spine Alterations and Cell Death Induced by Amyloid-β, Wild-Type Tau, and R406W Tau. Journal of Neuroscience. 29(46). 14439–14450. 111 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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