Uwe Schaefer

2.9k total citations · 1 hit paper
8 papers, 2.0k citations indexed

About

Uwe Schaefer is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Uwe Schaefer has authored 8 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Oncology. Recurrent topics in Uwe Schaefer's work include interferon and immune responses (3 papers), Ubiquitin and proteasome pathways (3 papers) and Protein Degradation and Inhibitors (3 papers). Uwe Schaefer is often cited by papers focused on interferon and immune responses (3 papers), Ubiquitin and proteasome pathways (3 papers) and Protein Degradation and Inhibitors (3 papers). Uwe Schaefer collaborates with scholars based in United States, United Kingdom and India. Uwe Schaefer's co-authors include Alexander Tarakhovsky, Rab K. Prinjha, Scott Dewell, Ivan Marazzi, Kate L. Jeffrey, Charles M. Rice, Rohit Chandwani, Chun‐wa Chung, Sören Beinke and Julia H. White and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Uwe Schaefer

8 papers receiving 2.0k citations

Hit Papers

Suppression of inflammation by a synthetic histone mimic 2010 2026 2015 2020 2010 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Uwe Schaefer United States 7 1.4k 620 448 315 197 8 2.0k
Bronwyn M. Owens United States 12 807 0.6× 772 1.2× 372 0.8× 691 2.2× 299 1.5× 15 2.0k
D McDonald United States 15 844 0.6× 276 0.4× 129 0.3× 230 0.7× 167 0.8× 28 1.3k
Nanhai He United States 17 2.2k 1.5× 514 0.8× 317 0.7× 581 1.8× 333 1.7× 21 2.8k
Cheng‐Ming Chiang United States 20 1.5k 1.0× 192 0.3× 239 0.5× 223 0.7× 339 1.7× 36 1.9k
Peter Smith United States 14 666 0.5× 417 0.7× 146 0.3× 94 0.3× 81 0.4× 24 1.2k
Sonia Jiménez-Baranda Spain 15 839 0.6× 882 1.4× 77 0.2× 255 0.8× 498 2.5× 18 2.0k
Bente Lowin Switzerland 10 759 0.5× 1.1k 1.8× 312 0.7× 51 0.2× 376 1.9× 10 1.9k
Meisheng Zhou United States 14 1.4k 1.0× 267 0.4× 237 0.5× 420 1.3× 209 1.1× 14 1.7k
Dyana T. Saenz United States 25 1.4k 1.0× 229 0.4× 253 0.6× 1.1k 3.4× 178 0.9× 47 2.2k
H Mostowski United States 16 443 0.3× 1.2k 1.9× 108 0.2× 184 0.6× 403 2.0× 22 1.9k

Countries citing papers authored by Uwe Schaefer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Uwe Schaefer

This figure shows the co-authorship network connecting the top 25 collaborators of Uwe Schaefer. A scholar is included among the top collaborators of Uwe Schaefer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Uwe Schaefer. Uwe Schaefer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Saha, Debjani, Maren de Vries, Aaron Briley, et al.. (2019). The ETS transcription factor ELF1 regulates a broadly antiviral program distinct from the type I interferon response. PLoS Pathogens. 15(11). e1007634–e1007634. 35 indexed citations
2.
Yoshida, Hideyuki, Kushagra Bansal, Uwe Schaefer, et al.. (2015). Brd4 bridges the transcriptional regulators, Aire and P-TEFb, to promote elongation of peripheral-tissue antigen transcripts in thymic stromal cells. Proceedings of the National Academy of Sciences. 112(32). E4448–57. 47 indexed citations
3.
Badimon, Ana, Uwe Schaefer, Pinar Ayata, et al.. (2015). Autism-like syndrome is induced by pharmacological suppression of BET proteins in young mice. The Journal of Experimental Medicine. 212(11). 1771–1781. 49 indexed citations
4.
Halper-Stromberg, Ariel, Ching-Lan Lu, Florian Klein, et al.. (2014). Broadly Neutralizing Antibodies and Viral Inducers Decrease Rebound from HIV-1 Latent Reservoirs in Humanized Mice. Cell. 158(5). 989–999. 299 indexed citations
5.
Fang, Terry, Uwe Schaefer, Ingrid Mecklenbräuker, et al.. (2012). Histone H3 lysine 9 di-methylation as an epigenetic signature of the interferon response. The Journal of Experimental Medicine. 209(4). 661–669. 132 indexed citations
6.
Marazzi, Ivan, Jessica Ho, Jaehoon Kim, et al.. (2012). Suppression of the antiviral response by an influenza histone mimic. Nature. 483(7390). 428–433. 216 indexed citations
7.
Levy, Dan, Alex Kuo, Yanqi Chang, et al.. (2012). SETD6 lysine methylation of RelA couples GLP activity at chromatin to tonic repression of NF‐kB signaling. The FASEB Journal. 26(S1). 3 indexed citations
8.
Nicodème, Edwige, Kate L. Jeffrey, Uwe Schaefer, et al.. (2010). Suppression of inflammation by a synthetic histone mimic. Nature. 468(7327). 1119–1123. 1203 indexed citations breakdown →

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.

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