Caroline Grabbe
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Immunology top 5%
- interferon and immune responses
Papers in
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- Ubiquitin and proteasome pathways 7
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- T-cell and Retrovirus Studies 4
- Co-authors
- Ivan Đikić (5 shared papers)Ruth H. Palmer (13 shared papers)Bengt Hallberg (3 shared papers)Koraljka Husnjak (1 shared paper)Christina E. Lorén (4 shared papers)Camilla Englund (3 shared papers)Tony Hunter (3 shared papers)Mirita Franz‐Wachtel (1 shared paper)
- Journals
- PLoS ONE (3 papers)Retrovirology (2 papers)Nature (2 papers)Current Biology (1 paper)Mechanisms of Development (1 paper)
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Caroline Grabbe
22 papers receiving 1.9k citations
Caroline Grabbe's Hit Papers
Peers
Comparison fields: 5 of 94
- Cancer Research 330
- Immunology 464
- Oncology 478
- Cell Biology 300
- Molecular Biology 1.2k
Countries citing papers authored by Caroline Grabbe
This map shows the geographic impact of Caroline Grabbe'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 Caroline Grabbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Grabbe more than expected).
Fields of papers citing papers by Caroline Grabbe
This network shows the impact of papers produced by Caroline Grabbe. 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 Caroline Grabbe. The network helps show where Caroline Grabbe may publish in the future.
Co-authors
The 25 scholars most cited alongside Caroline Grabbe, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SHARPIN forms a linear ubiquitin ligase complex regulating NF-κB activity and apoptosis Hit paper breakdown → | 2011 | 585 |
| 2 | 2009 | 329 | |
| 3 | 2011 | 288 | |
| 4 | 2003 | 133 | |
| 5 | 2009 | 100 | |
| 6 | 2003 | 91 | |
| 7 | 2001 | 84 | |
| 8 | 2004 | 56 | |
| 9 | 2010 | 48 | |
| 10 | 2009 | 30 | |
| 11 | 2008 | 29 | |
| 12 | 2005 | 29 | |
| 13 | 2015 | 26 | |
| 14 | 2015 | 21 | |
| 15 | 2008 | 19 | |
| 16 | 2007 | 14 | |
| 17 | 2018 | 13 | |
| 18 | 2017 | 13 | |
| 19 | 2010 | 12 | |
| 20 | 2015 | 3 |
About Caroline Grabbe
Caroline Grabbe is a scholar working on Molecular Biology, Immunology, Cell Biology, Oncology and Cancer Research, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), T-cell and Retrovirus Studies (4 papers), Cellular transport and secretion (3 papers), Peptidase Inhibition and Analysis (3 papers), Silk-based biomaterials and applications (2 papers), Vector-Borne Animal Diseases (2 papers), Animal Disease Management and Epidemiology (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Cancer Research (330 citations), Immunology (464 citations), Oncology (478 citations), Cell Biology (300 citations) and Molecular Biology (1.2k citations). Caroline Grabbe has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Ivan Đikić, Ruth H. Palmer, Bengt Hallberg, Koraljka Husnjak, Christina E. Lorén, Camilla Englund, Tony Hunter, Mirita Franz‐Wachtel, Tomoko Nakagawa and Vanja Nagy. Their work appears in journals such as PLoS ONE, Retrovirology, Nature, Current Biology and Mechanisms of Development.
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.