Christian Preisinger

3.9k total citations
59 papers, 2.8k citations indexed

About

Christian Preisinger is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Christian Preisinger has authored 59 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 26 papers in Cell Biology and 8 papers in Epidemiology. Recurrent topics in Christian Preisinger's work include Endoplasmic Reticulum Stress and Disease (12 papers), Cellular transport and secretion (11 papers) and Microtubule and mitosis dynamics (6 papers). Christian Preisinger is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (12 papers), Cellular transport and secretion (11 papers) and Microtubule and mitosis dynamics (6 papers). Christian Preisinger collaborates with scholars based in Germany, Netherlands and United Kingdom. Christian Preisinger's co-authors include Francis A. Barr, Robert Kopajtich, Benjamin Short, Albert J. R. Heck, Roman Körner, Shabaz Mohammed, Alexander K. Haas, Serena Di Palma, Mao Peng and Ayşe Nur Polat and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Christian Preisinger

58 papers receiving 2.8k citations

Peers

Christian Preisinger
Judith A. Coppinger United States
Christian Preisinger
Citations per year, relative to Christian Preisinger Christian Preisinger (= 1×) peers Judith A. Coppinger

Countries citing papers authored by Christian Preisinger

Since Specialization
Citations

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

Fields of papers citing papers by Christian Preisinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Preisinger

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Preisinger. A scholar is included among the top collaborators of Christian Preisinger 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 Preisinger. Christian Preisinger 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.
Andrieux, Geoffroy, Christian Preisinger, Melanie Boerries, et al.. (2025). Multidimensional OMICs reveal ARID1A orchestrated control of DNA damage, splicing, and cell cycle in normal‐like and malignant urothelial cells. Molecular Oncology. 19(12). 3784–3805. 1 indexed citations
2.
Preisinger, Christian, et al.. (2025). In Cellulo Cysteine Umpolung for Protein Structure Probing. Journal of the American Chemical Society. 147(39). 35587–35594.
3.
Ahmed, Nabil, Christian Preisinger, Thomas Wilhelm, & Michael Huber. (2024). TurboID-Based IRE1 Interactome Reveals Participants of the Endoplasmic Reticulum-Associated Protein Degradation Machinery in the Human Mast Cell Leukemia Cell Line HMC-1.2. Cells. 13(9). 747–747. 2 indexed citations
4.
Kašpárek, Petr, Nicole Schwarz, Aaron Babendreyer, et al.. (2023). A structural model of the iRhom–ADAM17 sheddase complex reveals functional insights into its trafficking and activity. Cellular and Molecular Life Sciences. 80(5). 135–135. 12 indexed citations
5.
Wang, J., Siv Vingill, Ekrem Dere, et al.. (2023). Loss of the parkinsonism‐associated protein FBXO7 in glutamatergic forebrain neurons in mice leads to abnormal motor behavior and synaptic defects. Journal of Neurochemistry. 167(2). 296–317. 2 indexed citations
6.
Kroh, Andreas, Athanassios Fragoulis, Diana Möckel, et al.. (2023). Hepatocellular loss of mTOR aggravates tumor burden in nonalcoholic steatohepatitis-related HCC. Neoplasia. 46. 100945–100945. 3 indexed citations
7.
Holzer, Guillaume, Paola De Magistris, Ruchika Sachdev, et al.. (2021). The nucleoporin Nup50 activates the Ran guanine nucleotide exchange factor RCC1 to promote NPC assembly at the end of mitosis. The EMBO Journal. 40(23). e108788–e108788. 17 indexed citations
8.
Düsterhöft, Stefan, Petr Kašpárek, Shixin Liu, et al.. (2021). The iRhom homology domain is indispensable for ADAM17-mediated TNFα and EGF receptor ligand release. Cellular and Molecular Life Sciences. 78(11). 5015–5040. 13 indexed citations
9.
Dohmen, Marc, Sarah Krieg, Xiaoqing Zhu, et al.. (2020). AMPK-dependent activation of the Cyclin Y/CDK16 complex controls autophagy. Nature Communications. 11(1). 1032–1032. 30 indexed citations
10.
Obiedat, Akram, Amit Rimon, Gordon McLennan, et al.. (2020). Pharmacological induction of selective endoplasmic reticulum retention as a strategy for cancer therapy. Nature Communications. 11(1). 1304–1304. 45 indexed citations
11.
Bütepage, Mareike, Christian Preisinger, Alex von Kriegsheim, et al.. (2018). Nucleolar-nucleoplasmic shuttling of TARG1 and its control by DNA damage-induced poly-ADP-ribosylation and by nucleolar transcription. Scientific Reports. 8(1). 6748–6748. 37 indexed citations
13.
Zhu, Xiaoqing, Vivian E.H. Dahlmans, Ramon F. Thali, et al.. (2016). AMP-activated Protein Kinase Up-regulates Mitogen-activated Protein (MAP) Kinase-interacting Serine/Threonine Kinase 1a-dependent Phosphorylation of Eukaryotic Translation Initiation Factor 4E. Journal of Biological Chemistry. 291(33). 17020–17027. 10 indexed citations
14.
Cubero, Francisco Javier, Miguel Eugenio Zoubek, Wei Hu, et al.. (2015). Combined Activities of JNK1 and JNK2 in Hepatocytes Protect Against Toxic Liver Injury. Gastroenterology. 150(4). 968–981. 70 indexed citations
15.
Palma, Serena Di, Mao Peng, Harm Post, et al.. (2013). Finding the same needles in the haystack? A comparison of phosphotyrosine peptides enriched by immuno-affinity precipitation and metal-based affinity chromatography. Journal of Proteomics. 91. 331–337. 40 indexed citations
16.
Margarucci, Luigi, Mark Roest, Christian Preisinger, et al.. (2011). Collagen stimulation of platelets induces a rapid spatial response of cAMP and cGMPsignaling scaffolds. Molecular BioSystems. 7(7). 2311–2319. 24 indexed citations
17.
Romano, David, David Matallanas, Gregory Weitsman, et al.. (2010). Proapoptotic Kinase MST2 Coordinates Signaling Crosstalk between RASSF1A, Raf-1, and Akt. Cancer Research. 70(3). 1195–1203. 81 indexed citations
18.
Kriegsheim, Alex von, Christian Preisinger, & Walter Kölch. (2008). Mapping of Signaling Pathways by Functional Interaction Proteomics. Methods in molecular biology. 484. 177–192. 23 indexed citations
19.
Preisinger, Christian, Benjamin Short, Veerle De Corte, et al.. (2004). YSK1 is activated by the Golgi matrix protein GM130 and plays a role in cell migration through its substrate 14-3-3ζ. The Journal of Cell Biology. 164(7). 1009–1020. 221 indexed citations
20.
Neef, Rüdiger, Christian Preisinger, Josephine E. Sutcliffe, et al.. (2003). Phosphorylation of mitotic kinesin-like protein 2 by polo-like kinase 1 is required for cytokinesis. The Journal of Cell Biology. 162(5). 863–876. 250 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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