Uwe Schaefer
Impact in
- Virology top 2%
- HIV Research and Treatment
- Hematology top 2%
- Multiple Myeloma Research and Treatments
Papers in
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- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 3
- Inflammasome and immune disorders 1
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- interferon and immune responses 3
- Immune Cell Function and Interaction 2
- T-cell and B-cell Immunology 1
- Co-authors
- Alexander Tarakhovsky (7 shared papers)Rab K. Prinjha (7 shared papers)Scott Dewell (3 shared papers)Kate L. Jeffrey (2 shared papers)Ivan Marazzi (2 shared papers)Charles M. Rice (2 shared papers)Rohit Chandwani (2 shared papers)Chun‐wa Chung (2 shared papers)
- Journals
- Nature (2 papers)The Journal of Experimental Medicine (2 papers)Proceedings of the National Academy of Sciences (1 paper)The FASEB Journal (1 paper)Cell (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Uwe Schaefer
8 papers receiving 2.0k citations
Uwe Schaefer's Hit Papers
Peers
Comparison fields: 5 of 85
- Virology 304
- Hematology 426
- Immunology 582
- Molecular Biology 1.4k
- Infectious Diseases 157
Countries citing papers authored by Uwe Schaefer
This map shows the geographic impact of Uwe Schaefer'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 Schaefer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uwe Schaefer more than expected).
Fields of papers citing papers by Uwe Schaefer
This network shows the impact of papers produced by Uwe Schaefer. 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 Schaefer. The network helps show where Uwe Schaefer may publish in the future.
Co-authors
The 25 scholars most cited alongside Uwe Schaefer, 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 | Suppression of inflammation by a synthetic histone mimic Hit paper breakdown → | 2010 | 1258 |
| 2 | 2014 | 306 | |
| 3 | 2012 | 230 | |
| 4 | 2012 | 134 | |
| 5 | 2015 | 51 | |
| 6 | 2015 | 48 | |
| 7 | 2019 | 39 | |
| 8 | 2012 | 3 |
About Uwe Schaefer
Uwe Schaefer is a scholar working on Molecular Biology, Immunology, Oncology, Cellular and Molecular Neuroscience and Virology, having authored 8 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers), interferon and immune responses (3 papers), Immune Cell Function and Interaction (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Adenosine and Purinergic Signaling (1 paper), T-cell and B-cell Immunology (1 paper) and Inflammasome and immune disorders (1 paper). The work is most often cited by research in Virology (304 citations), Hematology (426 citations), Immunology (582 citations), Molecular Biology (1.4k citations) and Infectious Diseases (157 citations). Uwe Schaefer has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Alexander Tarakhovsky, Rab K. Prinjha, Scott Dewell, Kate L. Jeffrey, Ivan Marazzi, Charles M. Rice, Rohit Chandwani, Chun‐wa Chung, José M. Lora and Julia H. White. Their work appears in journals such as Nature, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, The FASEB Journal and 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.