Eva Rieser

4.7k total citations · 3 hit papers
17 papers, 3.4k citations indexed

About

Eva Rieser is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Eva Rieser has authored 17 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Immunology and 6 papers in Cancer Research. Recurrent topics in Eva Rieser's work include Ubiquitin and proteasome pathways (12 papers), interferon and immune responses (11 papers) and NF-κB Signaling Pathways (6 papers). Eva Rieser is often cited by papers focused on Ubiquitin and proteasome pathways (12 papers), interferon and immune responses (11 papers) and NF-κB Signaling Pathways (6 papers). Eva Rieser collaborates with scholars based in United Kingdom, Germany and Australia. Eva Rieser's co-authors include Henning Walczak, Stefanie M. Cordier, John Silke, Martin R. Sprick, Tobias L. Haas, Christoph H. Emmerich, Björn Gerlach, Uwe Warnken, Peter Juo and John Blenis and has published in prestigious journals such as Nature, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Eva Rieser

16 papers receiving 3.3k citations

Hit Papers

Linear ubiquitination prevents inflammation and re... 2000 2026 2008 2017 2011 2000 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Rieser United Kingdom 13 2.7k 1.8k 1.1k 688 471 17 3.4k
Rebecca Feltham Australia 18 2.4k 0.9× 1.4k 0.8× 861 0.8× 594 0.9× 352 0.7× 20 3.0k
Ueli Nachbur Australia 23 1.7k 0.6× 1.2k 0.7× 597 0.5× 415 0.6× 488 1.0× 34 2.5k
Tanya Goncharov Israel 7 2.8k 1.0× 1.2k 0.7× 628 0.6× 623 0.9× 444 0.9× 7 3.3k
Pamela J. Smolak United States 9 3.1k 1.2× 1.9k 1.1× 1.1k 1.0× 832 1.2× 633 1.3× 12 4.1k
Irene M. Pedersen United States 20 2.5k 0.9× 1.0k 0.6× 1.1k 1.0× 529 0.8× 353 0.7× 27 3.6k
Jasmin N. Dynek United States 14 2.4k 0.9× 877 0.5× 691 0.6× 764 1.1× 256 0.5× 15 3.0k
Kevin M. McBride United States 29 2.3k 0.8× 1.8k 1.0× 554 0.5× 1.0k 1.5× 440 0.9× 53 3.9k
Katherine E. Wickliffe United States 20 2.9k 1.1× 1.3k 0.7× 351 0.3× 613 0.9× 595 1.3× 22 3.7k
Yogesh Kulathu United Kingdom 27 3.1k 1.2× 696 0.4× 473 0.4× 1.1k 1.7× 663 1.4× 39 3.7k
Gabriel Pineda United States 9 1.4k 0.5× 1.3k 0.7× 818 0.7× 252 0.4× 439 0.9× 14 2.4k

Countries citing papers authored by Eva Rieser

Since Specialization
Citations

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

Fields of papers citing papers by Eva Rieser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Rieser

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Rieser. A scholar is included among the top collaborators of Eva Rieser 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 Eva Rieser. Eva Rieser 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.
Chen, Yuguang, Eva Rieser, Amandeep Bhamra, et al.. (2024). LUBAC enables tumor-promoting LTβ receptor signaling by activating canonical NF-κB. Cell Death and Differentiation. 31(10). 1267–1284. 3 indexed citations
2.
Rieser, Eva, Diego de Miguel, Daniel Santos Mansur, et al.. (2023). LUBAC is required for RIG-I sensing of RNA viruses. Cell Death and Differentiation. 31(1). 28–39. 6 indexed citations
3.
Spit, Maureen, Eva Rieser, & Henning Walczak. (2019). Linear ubiquitination at a glance. Journal of Cell Science. 132(2). 61 indexed citations
4.
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
5.
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
6.
Zinngrebe, Julia, Eva Rieser, Lucia Taraborrelli, et al.. (2016). LUBAC deficiency perturbs TLR3 signaling to cause immunodeficiency and autoinflammation. The Journal of Experimental Medicine. 213(12). 2671–2689. 66 indexed citations
7.
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
8.
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
9.
Rieser, Eva, Stefanie M. Cordier, & Henning Walczak. (2013). Linear ubiquitination: a newly discovered regulator of cell signalling. Trends in Biochemical Sciences. 38(2). 94–102. 131 indexed citations
10.
Damgaard, Rune Busk, Ueli Nachbur, Monica Yabal, et al.. (2012). The Ubiquitin Ligase XIAP Recruits LUBAC for NOD2 Signaling in Inflammation and Innate Immunity. Molecular Cell. 46(6). 746–758. 293 indexed citations
11.
Gerlach, Björn, Stefanie M. Cordier, Christoph H. Emmerich, et al.. (2011). Linear ubiquitination prevents inflammation and regulates immune signalling. Nature. 471(7340). 591–596. 725 indexed citations breakdown →
12.
Gerlach, Björn, Stefanie M. Cordier, Eva Rieser, et al.. (2011). Linear ubiquitination prevents inflammation and regulates immune signalling. Inflammation Research. 60. 1 indexed citations
13.
Emmerich, Christoph H., Tobias L. Haas, Björn Gerlach, et al.. (2010). The Linear Ubiquitin Chain Assembly Complex (LUBAC) Forms Part of the TNF-R1 Signalling Complex and Is Required for Effective TNF-Induced Gene Induction and Prevents TNF-Induced Apoptosis. Advances in experimental medicine and biology. 691. 115–126. 13 indexed citations
14.
Haas, Tobias L., Christoph H. Emmerich, Björn Gerlach, et al.. (2009). Recruitment of the Linear Ubiquitin Chain Assembly Complex Stabilizes the TNF-R1 Signaling Complex and Is Required for TNF-Mediated Gene Induction. Molecular Cell. 36(5). 831–844. 596 indexed citations breakdown →
15.
Quack, Christian, et al.. (2009). Differential effects of multikinase kinase inhibitors sorafenib and U0126 on phosphorylation patterns of hepatocellular carcinomas cells. Zeitschrift für Gastroenterologie. 47(9). 1 indexed citations
16.
Weigand, Markus A., Anne Große-Wilde, Markus Janke, et al.. (2003). TNF-Related Apoptosis-Inducing Ligand Mediates Tumoricidal Activity of Human Monocytes Stimulated by Newcastle Disease Virus. The Journal of Immunology. 170(4). 1814–1821. 93 indexed citations
17.
Sprick, Martin R., Markus Weigand, Eva Rieser, et al.. (2000). FADD/MORT1 and Caspase-8 Are Recruited to TRAIL Receptors 1 and 2 and Are Essential for Apoptosis Mediated by TRAIL Receptor 2. Immunity. 12(6). 599–609. 678 indexed citations breakdown →

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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