Christian Schuberth

1.5k total citations
17 papers, 793 citations indexed

About

Christian Schuberth is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Christian Schuberth has authored 17 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cell Biology and 3 papers in Genetics. Recurrent topics in Christian Schuberth's work include Endoplasmic Reticulum Stress and Disease (3 papers), Cellular transport and secretion (3 papers) and RNA Research and Splicing (3 papers). Christian Schuberth is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (3 papers), Cellular transport and secretion (3 papers) and RNA Research and Splicing (3 papers). Christian Schuberth collaborates with scholars based in Germany, United States and Italy. Christian Schuberth's co-authors include Alexander Buchberger, Sebastian Rumpf, Holger Richly, Roland Wedlich‐Söldner, Assmann Daniela, Gero Steinberg, Eckhard Thines, Rainer Pepperkok, Peter Blattmann and Heiko Runz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Cell Science and Developmental Cell.

In The Last Decade

Christian Schuberth

16 papers receiving 789 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 Schuberth Germany 12 533 360 164 91 72 17 793
Daniël Blom United States 15 465 0.9× 294 0.8× 181 1.1× 51 0.6× 55 0.8× 19 813
Michiko Koizumi Japan 10 331 0.6× 213 0.6× 305 1.9× 73 0.8× 56 0.8× 15 673
Shuhao Zhu Austria 15 662 1.2× 205 0.6× 67 0.4× 8 0.1× 54 0.8× 23 903
Paul A. Poland United States 15 691 1.3× 153 0.4× 34 0.2× 26 0.3× 37 0.5× 24 825
Yu-Hsuan Chen Taiwan 8 387 0.7× 135 0.4× 314 1.9× 10 0.1× 34 0.5× 13 639
Abel R. Alcázar-Román United States 13 772 1.4× 194 0.5× 129 0.8× 5 0.1× 35 0.5× 17 985
Keith Edgemon United States 9 607 1.1× 47 0.1× 254 1.5× 22 0.2× 242 3.4× 9 1.0k
Sebastian Hayes United States 12 680 1.3× 190 0.5× 464 2.8× 7 0.1× 151 2.1× 14 1.2k
Collin Bachert United States 14 493 0.9× 541 1.5× 79 0.5× 8 0.1× 55 0.8× 14 843
Christian Kranz United States 17 784 1.5× 204 0.6× 39 0.2× 10 0.1× 122 1.7× 21 956

Countries citing papers authored by Christian Schuberth

Since Specialization
Citations

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

Fields of papers citing papers by Christian Schuberth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Schuberth

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

All Works

17 of 17 papers shown
1.
Collado, Javier, Jenny Keller, Mike Wälte, et al.. (2025). The Myo2 adaptor Ldm1 and its receptor Ldo16 mediate actin-dependent lipid droplet motility. Cell Reports. 44(11). 116475–116475.
2.
Collado, Javier, Mike Wälte, Christian Schuberth, et al.. (2024). A metabolically controlled contact site between vacuoles and lipid droplets in yeast. Developmental Cell. 59(6). 740–758.e10. 15 indexed citations
3.
Rasch, C., Ulrike Keller, Yaroslav Tsytsyura, et al.. (2023). Tetraspanner‐based nanodomains modulate BAR domain‐induced membrane curvature. EMBO Reports. 24(12). e57232–e57232. 4 indexed citations
4.
Janning, Annette, Jan Halbritter, Michael P. Krahn, et al.. (2020). A Deregulated Stress Response Underlies Distinct INF2-Associated Disease Profiles. Journal of the American Society of Nephrology. 31(6). 1296–1313. 22 indexed citations
5.
Schreiber, André, Darisuren Anhlan, Linda Brunotte, et al.. (2020). Dissecting the mechanism of signaling-triggered nuclear export of newly synthesized influenza virus ribonucleoprotein complexes. Proceedings of the National Academy of Sciences. 117(28). 16557–16566. 31 indexed citations
6.
Schuberth, Christian, et al.. (2018). Actin dynamics during Ca2+-dependent exocytosis of endothelial Weibel-Palade bodies. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1866(7). 1218–1229. 14 indexed citations
7.
Koerdt, Sophia N., J. Disse, Christian Schuberth, et al.. (2017). A novel Munc13-4/S100A10/annexin A2 complex promotes Weibel–Palade body exocytosis in endothelial cells. Molecular Biology of the Cell. 28(12). 1688–1700. 38 indexed citations
8.
Kruzel-Davila, Etty, Christian Schuberth, Melanie Eschborn, et al.. (2017). Intracellular APOL1 Risk Variants Cause Cytotoxicity Accompanied by Energy Depletion. Journal of the American Society of Nephrology. 28(11). 3227–3238. 78 indexed citations
9.
Schuberth, Christian, Hong‐Hee Won, Peter Blattmann, et al.. (2016). Systematic Cell-Based Phenotyping of Missense Alleles Empowers Rare Variant Association Studies: A Case for <i>LDLR</i> and Myocardial Infarction. Figshare. 39 indexed citations
10.
Schuberth, Christian, Hong‐Hee Won, Peter Blattmann, et al.. (2015). Systematic Cell-Based Phenotyping of Missense Alleles Empowers Rare Variant Association Studies: A Case for LDLR and Myocardial Infarction. PLoS Genetics. 11(2). e1004855–e1004855. 2 indexed citations
11.
Schuberth, Christian, et al.. (2015). Self-organization of core Golgi material is independent of COPII-mediated endoplasmic reticulum export. Journal of Cell Science. 128(7). 1279–1293. 7 indexed citations
12.
Schuberth, Christian & Roland Wedlich‐Söldner. (2014). Building a patchwork — The yeast plasma membrane as model to study lateral domain formation. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1853(4). 767–774. 23 indexed citations
13.
Blattmann, Peter, Christian Schuberth, Rainer Pepperkok, & Heiko Runz. (2013). RNAi–Based Functional Profiling of Loci from Blood Lipid Genome-Wide Association Studies Identifies Genes with Cholesterol-Regulatory Function. PLoS Genetics. 9(2). e1003338–e1003338. 45 indexed citations
14.
Schuberth, Christian & Alexander Buchberger. (2008). UBX domain proteins: major regulators of the AAA ATPase Cdc48/p97. Cellular and Molecular Life Sciences. 65(15). 2360–2371. 240 indexed citations
15.
Schuberth, Christian. (2006). UBX-Domänen-Proteine als neue Familie von Kofaktoren der AAA-ATPase Cdc48. Electronic Theses of LMU Munich (Ludwig-Maximilians-Universität München). 1 indexed citations
16.
Daniela, Assmann, et al.. (2005). Myosin-V, Kinesin-1, and Kinesin-3 Cooperate in Hyphal Growth of the FungusUstilago maydis. Molecular Biology of the Cell. 16(11). 5191–5201. 98 indexed citations
17.
Schuberth, Christian, Holger Richly, Sebastian Rumpf, & Alexander Buchberger. (2004). Shp1 and Ubx2 are adaptors of Cdc48 involved in ubiquitin‐dependent protein degradation. EMBO Reports. 5(8). 818–824. 136 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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