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
-
- Ubiquitin and proteasome pathways 12
- Cell death mechanisms and regulation 3
- Inflammasome and immune disorders 3
- Protein Degradation and Inhibitors 1
- Immunology 15
- interferon and immune responses 13
- Co-authors
- Henning Walczak (18 shared papers)Martin R. Sprick (3 shared papers)Stefanie M. Cordier (5 shared papers)John Silke (6 shared papers)Tobias L. Haas (4 shared papers)Christoph H. Emmerich (3 shared papers)Björn Gerlach (4 shared papers)Uwe Warnken (3 shared papers)
- Journals
- Cell Death and Differentiation (2 papers)Cell Reports (2 papers)Nature Cell Biology (2 papers)Molecular Cell (2 papers)Nature Communications (1 paper)
- Partner nations
- United KingdomGermanyAustralia
In The Last Decade
Eva Rieser
18 papers receiving 3.7k citations
Eva Rieser's Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology 1.9k
- Cancer Research 1.2k
- Molecular Biology 3.0k
- Oncology 735
- Epidemiology 498
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 | 759 |
| 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 | 686 |
| 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 | 630 |
| 4 | 2012 | 311 | |
| 5 | 2002 | 294 | |
| 6 | 2015 | 236 | |
| 7 | 2018 | 216 | |
| 8 | 2014 | 185 | |
| 9 | 2013 | 137 | |
| 10 | 2003 | 95 | |
| 11 | 2018 | 81 | |
| 12 | 2016 | 70 | |
| 13 | 2019 | 66 | |
| 14 | 2010 | 13 | |
| 15 | 2023 | 7 | |
| 16 | 2024 | 5 | |
| 17 | 2011 | 3 | |
| 18 | 2009 | 1 | |
| 19 | 2026 | 0 |
About Eva Rieser
Eva Rieser is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 19 papers that have together received 3.8k indexed citations. Recurring topics across this work include interferon and immune responses (13 papers), Ubiquitin and proteasome pathways (12 papers), NF-κB Signaling Pathways (7 papers), Peptidase Inhibition and Analysis (5 papers), Cell death mechanisms and regulation (3 papers), Inflammasome and immune disorders (3 papers), Cancer Mechanisms and Therapy (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Immunology (1.9k citations), Cancer Research (1.2k citations), Molecular Biology (3.0k citations), Oncology (735 citations) and Epidemiology (498 citations). Eva Rieser has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include Henning Walczak, Martin R. Sprick, Stefanie M. Cordier, John Silke, Tobias L. Haas, Christoph H. Emmerich, Björn Gerlach, Uwe Warnken, Markus Weigand and Peter Juo. Their work appears in journals such as Cell Death and Differentiation, Cell Reports, Nature Cell Biology, Molecular Cell and Nature Communications.
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.