Eva Rieser

16 papers receiving 3.3k citations

Hit Papers

Linear ubiquitination prevents inflammation and regulates immune signalling 2011 · 725 citations
7252000202620082017200400600

Peers

Eva Rieser
Comparison fields: 5 of 93
  • Immunology 1.8k
  • Cancer Research 1.1k
  • Molecular Biology 2.7k
  • Oncology 688
  • Epidemiology 471
Replace Ueli Nachbur with:
Ueli Nachbur Australia
Rebecca Feltham Australia
Tanya Goncharov Israel
Pamela J. Smolak United States
Gabriel Pineda United States
Katherine E. Wickliffe United States
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Kevin M. McBride United States
Jeannie Q. He United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Eva Rieser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Rieser Line = papers co-authored together Eva Rieser links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Linear ubiquitination prevents inflammation and regulates immune signalling
Hit paper breakdown →
2011725
2
FADD/MORT1 and Caspase-8 Are Recruited to TRAIL Receptors 1 and 2 and Are Essential for Apoptosis Mediated by TRAIL Receptor 2
Hit paper breakdown →
2000678
3
Recruitment of the Linear Ubiquitin Chain Assembly Complex Stabilizes the TNF-R1 Signaling Complex and Is Required for TNF-Mediated Gene Induction
Hit paper breakdown →
2009596
4 2012293
5 2015226
6 2018205
7 2014184
8 2013131
9 200393
10 201880
11 201666
12 201961
13 201013
14 20236
15 20243
16 20111
17 20091

About Eva Rieser

Eva Rieser is a scholar working on Immunology, Cancer Research, Molecular Biology, Oncology and Hepatology, having authored 17 papers that have together received 3.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (12 papers), interferon and immune responses (11 papers), NF-κB Signaling Pathways (6 papers), Peptidase Inhibition and Analysis (5 papers), Inflammasome and immune disorders (3 papers), Cell death mechanisms and regulation (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Immunology (1.8k citations), Cancer Research (1.1k citations), Molecular Biology (2.7k citations), Oncology (688 citations) and Epidemiology (471 citations). Eva Rieser has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include Henning Walczak, Stefanie M. Cordier, John Silke, Martin R. Sprick, Tobias L. Haas, Björn Gerlach, Christoph H. Emmerich, Uwe Warnken, Peter Juo and Charles T. Rauch. Their work appears in journals such as Cell Reports, Molecular Cell, Cell Death and Differentiation, Inflammation Research and Nature Cell Biology.

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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