Peter Dráber

2.5k total citations
30 papers, 1.7k citations indexed

About

Peter Dráber is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Peter Dráber has authored 30 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 19 papers in Immunology and 8 papers in Oncology. Recurrent topics in Peter Dráber's work include interferon and immune responses (8 papers), Ubiquitin and proteasome pathways (7 papers) and Glycosylation and Glycoproteins Research (5 papers). Peter Dráber is often cited by papers focused on interferon and immune responses (8 papers), Ubiquitin and proteasome pathways (7 papers) and Glycosylation and Glycoproteins Research (5 papers). Peter Dráber collaborates with scholars based in Czechia, United Kingdom and Germany. Peter Dráber's co-authors include Henning Walczak, Petr Dráber, Sebastian Kupka, Lucia Taraborrelli, Silvia Šurinová, Diego de Miguel, Élodie Lafont, Eva Rieser, Torsten Hartwig and Helena Draberova and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Peter Dráber

30 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Dráber Czechia 20 1.3k 945 426 342 176 30 1.7k
Laurence Lamy United States 14 1.3k 1.0× 679 0.7× 337 0.8× 487 1.4× 161 0.9× 20 2.1k
Natalie Bezman United States 25 757 0.6× 1.3k 1.4× 411 1.0× 522 1.5× 144 0.8× 45 2.2k
Jianping Yin United States 19 982 0.8× 1.0k 1.1× 298 0.7× 329 1.0× 126 0.7× 24 2.0k
Caroline Bäumler Germany 7 1.1k 0.8× 1.2k 1.3× 268 0.6× 304 0.9× 186 1.1× 8 1.9k
Markus Jaritz Austria 24 1.6k 1.3× 831 0.9× 216 0.5× 213 0.6× 83 0.5× 45 2.5k
Lisa M. Nilsson Sweden 24 1.6k 1.3× 878 0.9× 396 0.9× 907 2.7× 121 0.7× 52 2.6k
Lloyd T. Lam United States 22 1.9k 1.5× 891 0.9× 720 1.7× 978 2.9× 91 0.5× 39 3.2k
Diep Chau Australia 11 1.5k 1.2× 840 0.9× 548 1.3× 359 1.0× 216 1.2× 14 1.8k
Ingolf Berberich Germany 22 605 0.5× 1.2k 1.3× 508 1.2× 339 1.0× 105 0.6× 36 1.8k
Alejandro D. Campos United States 11 1.2k 0.9× 580 0.6× 641 1.5× 402 1.2× 156 0.9× 17 1.7k

Countries citing papers authored by Peter Dráber

Since Specialization
Citations

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

Fields of papers citing papers by Peter Dráber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Dráber

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Dráber. A scholar is included among the top collaborators of Peter Dráber 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 Peter Dráber. Peter Dráber 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.
Drobek, Ales, Veronika Niederlová, Darina Paprčková, et al.. (2024). TBK1-associated adapters TANK and AZI2 protect mice against TNF-induced cell death and severe autoinflammatory diseases. Nature Communications. 15(1). 10013–10013. 1 indexed citations
2.
Draberova, Helena, Ales Drobek, Martina Huranová, et al.. (2022). CMTM4 is a subunit of the IL-17 receptor and mediates autoimmune pathology. Nature Immunology. 23(11). 1644–1652. 19 indexed citations
3.
Draberova, Helena, Karel Harant, Matouš Hrdinka, et al.. (2020). Systematic analysis of the IL ‐17 receptor signalosome reveals a robust regulatory feedback loop. The EMBO Journal. 39(17). e104202–e104202. 19 indexed citations
4.
Černohorská, Markéta Schmidt, Klara Ruppova, Veronika Niederlová, et al.. (2020). The BBSome assembly is spatially controlled by BBS1 and BBS4 in human cells. Journal of Biological Chemistry. 295(42). 14279–14290. 19 indexed citations
5.
Lafont, Élodie, Peter Dráber, Eva Rieser, et al.. (2018). TBK1 and IKKε prevent TNF-induced cell death by RIPK1 phosphorylation. Nature Cell Biology. 20(12). 1389–1399. 205 indexed citations
6.
Taraborrelli, Lucia, Nieves Peltzer, Antonella Montinaro, et al.. (2018). LUBAC prevents lethal dermatitis by inhibiting cell death induced by TNF, TRAIL and CD95L. Nature Communications. 9(1). 3910–3910. 80 indexed citations
7.
Lafont, Élodie, Chahrazade Kantari‐Mimoun, Peter Dráber, et al.. (2017). The linear ubiquitin chain assembly complex regulates TRAIL ‐induced gene activation and cell death. The EMBO Journal. 36(9). 1147–1166. 91 indexed citations
8.
Hartwig, Torsten, Antonella Montinaro, Silvia von Karstedt, et al.. (2017). The TRAIL-Induced Cancer Secretome Promotes a Tumor-Supportive Immune Microenvironment via CCR2. Molecular Cell. 65(4). 730–742.e5. 180 indexed citations
9.
Pescatore, Alessandra, et al.. (2016). NEMO regulates a cell death switch in TNF signaling by inhibiting recruitment of RIPK3 to the cell death-inducing complex II. Cell Death and Disease. 7(8). e2346–e2346. 17 indexed citations
10.
Kupka, Sebastian, Diego de Miguel, Peter Dráber, et al.. (2016). SPATA2-Mediated Binding of CYLD to HOIP Enables CYLD Recruitment to Signaling Complexes. Cell Reports. 16(9). 2271–2280. 106 indexed citations
11.
Dráber, Peter, Sebastian Kupka, Matthias Reichert, et al.. (2015). LUBAC-Recruited CYLD and A20 Regulate Gene Activation and Cell Death by Exerting Opposing Effects on Linear Ubiquitin in Signaling Complexes. Cell Reports. 13(10). 2258–2272. 226 indexed citations
12.
Tuthill, Mark, Antonella Montinaro, Julia Zinngrebe, et al.. (2014). TRAIL-R2-specific antibodies and recombinant TRAIL can synergise to kill cancer cells. Oncogene. 34(16). 2138–2144. 65 indexed citations
13.
Peltzer, Nieves, Eva Rieser, Lucia Taraborrelli, et al.. (2014). HOIP Deficiency Causes Embryonic Lethality by Aberrant TNFR1-Mediated Endothelial Cell Death. Cell Reports. 9(1). 153–165. 184 indexed citations
14.
Dráber, Peter, Ondřej Štěpánek, Matouš Hrdinka, et al.. (2012). LST1/A Is a Myeloid Leukocyte-specific Transmembrane Adaptor Protein Recruiting Protein Tyrosine Phosphatases SHP-1 and SHP-2 to the Plasma Membrane. Journal of Biological Chemistry. 287(27). 22812–22821. 22 indexed citations
15.
Hrdinka, Matouš, Peter Dráber, Ondřej Štěpánek, et al.. (2011). PRR7 Is a Transmembrane Adaptor Protein Expressed in Activated T Cells Involved in Regulation of T Cell Receptor Signaling and Apoptosis. Journal of Biological Chemistry. 286(22). 19617–19629. 11 indexed citations
16.
Štěpánek, Ondřej, Tomáš Kalina, Peter Dráber, et al.. (2011). Regulation of Src Family Kinases Involved in T Cell Receptor Signaling by Protein-tyrosine Phosphatase CD148. Journal of Biological Chemistry. 286(25). 22101–22112. 32 indexed citations
17.
Shaik, Gouse M., et al.. (2008). Tetraalkylammonium derivatives as real-time PCR enhancers and stabilizers of the qPCR mixtures containing SYBR Green I. Nucleic Acids Research. 36(15). e93–e93. 23 indexed citations
18.
Dráber, Peter, et al.. (2007). Preformed STAT3 transducer complexes in human HepG2 cells and rat hepatocytes. Cellular Signalling. 19(11). 2400–2412. 5 indexed citations
19.
20.
Floryk, Daniel, et al.. (1998). Lex glycosphingolipids-mediated cell aggregation. Glycobiology. 8(2). 139–146. 30 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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