Beate Kellert
Impact in
- Molecular Biology top 10%
- Cell death mechanisms and regulation
- Inflammasome and immune disorders
- Ubiquitin and proteasome pathways
- CRISPR and Genetic Engineering
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- Immune Response and Inflammation
- interferon and immune responses
Papers in
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- Cell death mechanisms and regulation 4
- CRISPR and Genetic Engineering 1
- Genetics 2
- Virus-based gene therapy research 1
- Animal Genetics and Reproduction 1
- Digestive system and related health 1
- Co-authors
- Martin Leverkus (4 shared papers)Peter Geserick (3 shared papers)Maria Feoktistova (3 shared papers)Mike Hupe (3 shared papers)Diana Panayotova‐Dimitrova (2 shared papers)Kelvin Cain (1 shared paper)Georg Alexander Häcker (1 shared paper)Marion MacFarlane (1 shared paper)
- Journals
- The Journal of Immunology (1 paper)The Journal of Cell Biology (1 paper)Molecular Cell (1 paper)Cell Death and Disease (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanyUnited KingdomSweden
In The Last Decade
Beate Kellert
7 papers receiving 1.2k citations
Beate Kellert's Hit Papers
Peers
Comparison fields: 5 of 73
- Molecular Biology 885
- Immunology 147
- Cancer Research 86
- Developmental Neuroscience 20
- Neurology 20
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 | 738 |
| 2 | 2009 | 215 | |
| 3 | 2009 | 136 | |
| 4 | 2013 | 74 | |
| 5 | 2012 | 20 | |
| 6 | 2014 | 20 | |
| 7 | 2013 | 17 |
About Beate Kellert
Beate Kellert is a scholar working on Molecular Biology, Genetics, Rheumatology, Immunology and Oncology, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (4 papers), Eosinophilic Disorders and Syndromes (1 paper), Cancer Cells and Metastasis (1 paper), Virus-based gene therapy research (1 paper), Animal Genetics and Reproduction (1 paper), Immunotherapy and Immune Responses (1 paper), CRISPR and Genetic Engineering (1 paper) and Digestive system and related health (1 paper). The work is most often cited by research in Molecular Biology (885 citations), Immunology (147 citations), Cancer Research (86 citations), Developmental Neuroscience (20 citations) and Neurology (20 citations). Beate Kellert has collaborated with scholars based in Germany, United Kingdom and Sweden. Frequent co-authors include Martin Leverkus, Peter Geserick, Maria Feoktistova, Mike Hupe, Diana Panayotova‐Dimitrova, Kelvin Cain, Georg Alexander Häcker, Marion MacFarlane, Claudia Langlais and John Silke. Their work appears in journals such as The Journal of Immunology, The Journal of Cell Biology, Molecular Cell, 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.