Uwe Warnken
Impact in
- Cancer Research top 2%
- NF-κB Signaling Pathways
- Cancer-related molecular mechanisms research
- Immunology top 2%
- interferon and immune responses
- Immune Response and Inflammation
Papers in ⓘ
- Co-authors
- Martina Schnölzer (42 shared papers)Tobias L. Haas (5 shared papers)Stefanie M. Cordier (3 shared papers)John Silke (3 shared papers)Björn Gerlach (3 shared papers)Henning Walczak (3 shared papers)Eva Rieser (3 shared papers)Christoph H. Emmerich (2 shared papers)
- Journals
- PLoS ONE (6 papers)Molecular & Cellular Proteomics (3 papers)Clinical Cancer Research (2 papers)International Journal of Molecular Sciences (2 papers)Molecular Cell (2 papers)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Uwe Warnken
56 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Cancer Research 866
- Immunology 1.1k
- Molecular Biology 2.1k
- Oncology 586
- Sensory Systems 96
Countries citing papers authored by Uwe Warnken
This map shows the geographic impact of Uwe Warnken'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 Uwe Warnken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uwe Warnken more than expected).
Fields of papers citing papers by Uwe Warnken
This network shows the impact of papers produced by Uwe Warnken. 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 Uwe Warnken. The network helps show where Uwe Warnken may publish in the future.
Co-authors
The 25 scholars most cited alongside Uwe Warnken, 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 58 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 | 725 |
| 2 | 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 |
| 3 | 2012 | 152 | |
| 4 | 2011 | 118 | |
| 5 | 2018 | 106 | |
| 6 | 2006 | 96 | |
| 7 | 2017 | 94 | |
| 8 | 2011 | 93 | |
| 9 | 2008 | 93 | |
| 10 | 2012 | 83 | |
| 11 | 2015 | 79 | |
| 12 | 2007 | 66 | |
| 13 | 2015 | 65 | |
| 14 | 2013 | 61 | |
| 15 | 2010 | 53 | |
| 16 | 2020 | 48 | |
| 17 | 2011 | 41 | |
| 18 | 2009 | 32 | |
| 19 | 2004 | 32 | |
| 20 | 2017 | 30 |
About Uwe Warnken
Uwe Warnken is a scholar working on Anesthesiology and Pain Medicine, Sensory Systems, Immunology, Molecular Biology and Cell Biology, having authored 58 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (6 papers), Galectins and Cancer Biology (5 papers), RNA modifications and cancer (5 papers), Peptidase Inhibition and Analysis (5 papers), Glycosylation and Glycoproteins Research (5 papers), Advanced Proteomics Techniques and Applications (5 papers), Caveolin-1 and cellular processes (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Cancer Research (866 citations), Immunology (1.1k citations), Molecular Biology (2.1k citations), Oncology (586 citations) and Sensory Systems (96 citations). Uwe Warnken has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Martina Schnölzer, Tobias L. Haas, Stefanie M. Cordier, John Silke, Björn Gerlach, Henning Walczak, Eva Rieser, Christoph H. Emmerich, W. Wei‐Lynn Wong and Ueli Nachbur. Their work appears in journals such as PLoS ONE, Molecular & Cellular Proteomics, Clinical Cancer Research, International Journal of Molecular Sciences and Molecular Cell.
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.