Eva Rieser
Impact in
- Cancer Research top 1%
- NF-κB Signaling Pathways
- Molecular Biology top 2%
- Cell death mechanisms and regulation
- Ubiquitin and proteasome pathways
- Inflammasome and immune disorders
Papers in
-
- NF-κB Signaling Pathways 13
- Protease and Inhibitor Mechanisms 1
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- Immune Response and Inflammation 3
- interferon and immune responses 2
- Immunodeficiency and Autoimmune Disorders 2
- Co-authors
- Henning Walczak (18 shared papers)Martin Ronald Sprick (3 shared papers)Stefanie M. Cordier (4 shared papers)John Silke (5 shared papers)Tobias L. Haas (4 shared papers)Björn Gerlach (3 shared papers)Christoph H. Emmerich (3 shared papers)Uwe H. Warnken (2 shared papers)
- Journals
- Nature Communications (2 papers)Nature (2 papers)The Journal of Experimental Medicine (2 papers)Cell Reports (2 papers)Nature Cell Biology (2 papers)
- Partner nations
- United KingdomGermanyAustralia
In The Last Decade
Eva Rieser
23 papers receiving 4.2k citations
Eva Rieser's Hit Papers
Peers
Comparison fields: 5 of 78
- Cancer Research 1.1k
- Molecular Biology 2.8k
- Immunology 679
- Oncology 157
- Genetics 148
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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Linear ubiquitination prevents inflammation and regulates immune signalling Hit paper breakdown → | 2011 | 790 |
| 2 | 2000 | 690 | |
| 3 | 2009 | 658 | |
| 4 | 2012 | 330 | |
| 5 | 2002 | 293 | |
| 6 | 2015 | 247 | |
| 7 | 2018 | 235 | |
| 8 | 2014 | 207 | |
| 9 | 2018 | 171 | |
| 10 | 2013 | 138 | |
| 11 | 2003 | 96 | |
| 12 | 2018 | 87 | |
| 13 | 2016 | 74 | |
| 14 | 2019 | 74 | |
| 15 | 2016 | 59 | |
| 16 | 2021 | 53 | |
| 17 | 2022 | 27 | |
| 18 | 2024 | 21 | |
| 19 | 2010 | 13 | |
| 20 | 2024 | 9 |
About Eva Rieser
Eva Rieser is a scholar working on Cancer Research, Immunology, Molecular Biology, Hepatology and Epidemiology, having authored 24 papers that have together received 4.3k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (13 papers), Cell death mechanisms and regulation (7 papers), Ubiquitin and proteasome pathways (5 papers), Immune Response and Inflammation (3 papers), interferon and immune responses (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Protease and Inhibitor Mechanisms (1 paper) and Inflammasome and immune disorders (1 paper). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (2.8k citations), Immunology (679 citations), Oncology (157 citations) and Genetics (148 citations). Eva Rieser has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include Henning Walczak, Martin Ronald Sprick, Stefanie M. Cordier, John Silke, Tobias L. Haas, Björn Gerlach, Christoph H. Emmerich, Uwe H. Warnken, Markus Alexander Weigand and Peter Juo. Their work appears in journals such as Nature Communications, Nature, The Journal of Experimental Medicine, Cell Reports 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.