Eva Rieser
Impact in
- Immunology top 1%
- interferon and immune responses
- Immune Response and Inflammation
- Cancer Research top 1%
- NF-κB Signaling Pathways
Papers in ⓘ
- Immunology 13
- interferon and immune responses 11
-
- NF-κB Signaling Pathways 6
- Co-authors
- Henning Walczak (16 shared papers)Stefanie M. Cordier (5 shared papers)John Silke (6 shared papers)Martin R. Sprick (2 shared papers)Tobias L. Haas (4 shared papers)Björn Gerlach (4 shared papers)Christoph H. Emmerich (3 shared papers)Uwe Warnken (3 shared papers)
- Journals
- Cell Reports (2 papers)Molecular Cell (2 papers)Cell Death and Differentiation (2 papers)Inflammation Research (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United KingdomGermanyAustralia
In The Last Decade
Eva Rieser
16 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Immunology 1.8k
- Cancer Research 1.1k
- Molecular Biology 2.7k
- Oncology 688
- Epidemiology 471
Countries citing papers authored by Eva Rieser
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Linear ubiquitination prevents inflammation and regulates immune signalling Hit paper breakdown → | 2011 | 725 |
| 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 → | 2000 | 678 |
| 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 → | 2009 | 596 |
| 4 | 2012 | 293 | |
| 5 | 2015 | 226 | |
| 6 | 2018 | 205 | |
| 7 | 2014 | 184 | |
| 8 | 2013 | 131 | |
| 9 | 2003 | 93 | |
| 10 | 2018 | 80 | |
| 11 | 2016 | 66 | |
| 12 | 2019 | 61 | |
| 13 | 2010 | 13 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 3 | |
| 16 | 2011 | 1 | |
| 17 | 2009 | 1 |
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.