Beate Kellert
Impact in
- Immunology top 5%
- interferon and immune responses
- Immune Response and Inflammation
- Phagocytosis and Immune Regulation
- Cancer Research top 10%
- NF-κB Signaling Pathways
Papers in
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- Cell death mechanisms and regulation 2
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- Phagocytosis and Immune Regulation 1
- Co-authors
- Martin Leverkus (4 shared papers)Maria Feoktistova (3 shared papers)Mike Hupe (3 shared papers)Peter Geserick (3 shared papers)Georg Häcker (1 shared paper)Marion MacFarlane (1 shared paper)Kelvin Cain (1 shared paper)Claudia Langlais (1 shared paper)
- Journals
- The Journal of Cell Biology (1 paper)Molecular Cell (1 paper)The Journal of Immunology (1 paper)Cell Death and Disease (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanyUnited KingdomAustralia
In The Last Decade
Beate Kellert
7 papers receiving 1.1k citations
Beate Kellert's Hit Papers
Peers
Comparison fields: 5 of 85
- Immunology 535
- Cancer Research 198
- Molecular Biology 886
- Oncology 147
- Developmental Neuroscience 21
Countries citing papers authored by Beate Kellert
This map shows the geographic impact of Beate Kellert'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 Beate Kellert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beate Kellert more than expected).
Fields of papers citing papers by Beate Kellert
This network shows the impact of papers produced by Beate Kellert. 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 Beate Kellert. The network helps show where Beate Kellert may publish in the future.
Co-authors
The 25 scholars most cited alongside Beate Kellert, 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 | cIAPs Block Ripoptosome Formation, a RIP1/Caspase-8 Containing Intracellular Cell Death Complex Differentially Regulated by cFLIP Isoforms Hit paper breakdown → | 2011 | 687 |
| 2 | 2009 | 198 | |
| 3 | 2009 | 127 | |
| 4 | 2013 | 61 | |
| 5 | 2012 | 18 | |
| 6 | 2013 | 17 | |
| 7 | 2014 | 15 |
About Beate Kellert
Beate Kellert is a scholar working on Molecular Biology, Immunology, Rheumatology, Cellular and Molecular Neuroscience and Dermatology, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Neuroscience and Neural Engineering (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Phagocytosis and Immune Regulation (1 paper), Dermatology and Skin Diseases (1 paper) and Acne and Rosacea Treatments and Effects (1 paper). The work is most often cited by research in Immunology (535 citations), Cancer Research (198 citations), Molecular Biology (886 citations), Oncology (147 citations) and Developmental Neuroscience (21 citations). Beate Kellert has collaborated with scholars based in Germany, United Kingdom and Australia. Frequent co-authors include Martin Leverkus, Maria Feoktistova, Mike Hupe, Peter Geserick, Georg Häcker, Marion MacFarlane, Kelvin Cain, Claudia Langlais, W. Wei‐Lynn Wong and Maryline Moulin. Their work appears in journals such as The Journal of Cell Biology, Molecular Cell, The Journal of Immunology, Cell Death and Disease and PLoS ONE.
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.