Andreas Wicovsky

664 total citations
9 papers, 561 citations indexed

About

Andreas Wicovsky is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Andreas Wicovsky has authored 9 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Immunology and 7 papers in Cancer Research. Recurrent topics in Andreas Wicovsky's work include Cell death mechanisms and regulation (8 papers), NF-κB Signaling Pathways (7 papers) and interferon and immune responses (3 papers). Andreas Wicovsky is often cited by papers focused on Cell death mechanisms and regulation (8 papers), NF-κB Signaling Pathways (7 papers) and interferon and immune responses (3 papers). Andreas Wicovsky collaborates with scholars based in Germany and United States. Andreas Wicovsky's co-authors include Harald Wajant, Frank Henkler, Daniela Siegmund, C. Kneitz, Nicole Müller, Steffen Salzmann, Volker Spindler, Jens Waschke, Christian Kneitz and Holger Kalthoff and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The Journal of Immunology.

In The Last Decade

Andreas Wicovsky

9 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andreas Wicovsky Germany	8	344	306	233	91	35	9	561
Kwiyeom Yoon South Korea	10	361 1.0×	265 0.9×	255 1.1×	153 1.7×	22 0.6×	12	599
Michele M. Johnson United States	4	393 1.1×	395 1.3×	87 0.4×	101 1.1×	53 1.5×	5	678
Jesse E. Jun United States	9	245 0.7×	403 1.3×	158 0.7×	93 1.0×	10 0.3×	9	603
Steve Eliason United States	6	371 1.1×	409 1.3×	107 0.5×	119 1.3×	21 0.6×	10	689
Piao Lo United States	6	269 0.8×	149 0.5×	109 0.5×	163 1.8×	28 0.8×	7	537
Xiaochuan Shan United States	10	378 1.1×	423 1.4×	91 0.4×	153 1.7×	21 0.6×	11	716
Isabell Lang Germany	12	211 0.6×	173 0.6×	97 0.4×	77 0.8×	35 1.0×	29	393
Bangmin Zhu United States	10	468 1.4×	258 0.8×	202 0.9×	142 1.6×	38 1.1×	15	717
Edyta M Kucharska Australia	4	194 0.6×	411 1.3×	134 0.6×	103 1.1×	13 0.4×	5	561
Dan Foy United States	4	280 0.8×	189 0.6×	103 0.4×	139 1.5×	23 0.7×	4	594

Countries citing papers authored by Andreas Wicovsky

Since Specialization

Citations

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

Fields of papers citing papers by Andreas Wicovsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Wicovsky

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

All Works

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9 of 9 papers shown

Ehrenschwender, Martin, Daniela Siegmund, Andreas Wicovsky, et al.. (2010). Mutant PIK3CA licenses TRAIL and CD95L to induce non-apoptotic caspase-8-mediated ROCK activation. Cell Death and Differentiation. 17(9). 1435–1447. 40 indexed citations

Wicovsky, Andreas, Nicole Müller, Steffen Salzmann, et al.. (2010). Soluble and Transmembrane TNF-Like Weak Inducer of Apoptosis Differentially Activate the Classical and Noncanonical NF-κB Pathway. The Journal of Immunology. 185(3). 1593–1605. 85 indexed citations

Wicovsky, Andreas, Steffen Salzmann, Martin Ehrenschwender, et al.. (2009). TNF-like weak inducer of apoptosis inhibits proinflammatory TNF receptor-1 signaling. Cell Death and Differentiation. 16(11). 1445–1459. 66 indexed citations

Wicovsky, Andreas, Frank Henkler, Steffen Salzmann, et al.. (2009). Tumor necrosis factor receptor-associated factor-1 enhances proinflammatory TNF receptor-2 signaling and modifies TNFR1–TNFR2 cooperation. Oncogene. 28(15). 1769–1781. 63 indexed citations

Wicovsky, Andreas, Nicole Müller, Daniela Siegmund, et al.. (2009). Membrane Tumor Necrosis Factor (TNF) Induces p100 Processing via TNF Receptor-2 (TNFR2). Journal of Biological Chemistry. 285(10). 7394–7404. 138 indexed citations

Wicovsky, Andreas, Nicole Müller, Ralf Marienfeld, et al.. (2006). Sustained JNK Activation in Response to Tumor Necrosis Factor Is Mediated by Caspases in a Cell Type-specific Manner. Journal of Biological Chemistry. 282(4). 2174–2183. 41 indexed citations

Wicovsky, Andreas, Daniela Siegmund, & Harald Wajant. (2005). Interferons induce proteolytic degradation of TRAILR4. Biochemical and Biophysical Research Communications. 337(1). 184–190. 1 indexed citations

Henkler, Frank, Kevin M. Dennehy, Andreas Wicovsky, et al.. (2005). The extracellular domains of FasL and Fas are sufficient for the formation of supramolecular FasL-Fas clusters of high stability. The Journal of Cell Biology. 168(7). 1087–1098. 81 indexed citations

Siegmund, Daniela, Andreas Wicovsky, Ingo Schmitz, et al.. (2005). Death Receptor-Induced Signaling Pathways Are Differentially Regulated by Gamma Interferon Upstream of Caspase 8 Processing. Molecular and Cellular Biology. 25(15). 6363–6379. 46 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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