Ulrike Brüning
Impact in
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
- Biochemistry top 5%
Papers in
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- Cancer, Hypoxia, and Metabolism 11
- NF-κB Signaling Pathways 8
- Cancer, Lipids, and Metabolism 4
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- Gut microbiota and health 4
- Angiogenesis and VEGF in Cancer 4
- Metabolomics and Mass Spectrometry Studies 2
- Signaling Pathways in Disease 1
- Co-authors
- Cormac T. Taylor (12 shared papers)Eoin P. Cummins (10 shared papers)Carsten C. Scholz (10 shared papers)Alex Cheong (9 shared papers)Susan F. Fitzpatrick (7 shared papers)Murtaza M. Tambuwala (7 shared papers)Peter Carmeliet (3 shared papers)Brian W. Wong (1 shared paper)
In The Last Decade
Ulrike Brüning
31 papers receiving 3.1k citations
Ulrike Brüning's Hit Papers
Peers
Comparison fields: 5 of 108
- Cancer Research 998
- Biochemistry 136
- Molecular Biology 1.1k
- Immunology 223
- Oncology 251
Countries citing papers authored by Ulrike Brüning
This map shows the geographic impact of Ulrike Brüning'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 Ulrike Brüning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrike Brüning more than expected).
Fields of papers citing papers by Ulrike Brüning
This network shows the impact of papers produced by Ulrike Brüning. 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 Ulrike Brüning. The network helps show where Ulrike Brüning may publish in the future.
Co-authors
The 25 scholars most cited alongside Ulrike Brüning, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fatty acid carbon is essential for dNTP synthesis in endothelial cells Hit paper breakdown → | 2015 | 549 |
| 2 | 2016 | 282 | |
| 3 | 2017 | 264 | |
| 4 | 2011 | 257 | |
| 5 | 2018 | 242 | |
| 6 | 2018 | 218 | |
| 7 | 2018 | 181 | |
| 8 | 2013 | 165 | |
| 9 | 2010 | 137 | |
| 10 | 2012 | 129 | |
| 11 | 2013 | 103 | |
| 12 | 2010 | 89 | |
| 13 | 2017 | 72 | |
| 14 | 2011 | 70 | |
| 15 | 2015 | 68 | |
| 16 | 2010 | 55 | |
| 17 | 2012 | 45 | |
| 18 | 2022 | 45 | |
| 19 | 2016 | 27 | |
| 20 | 2007 | 24 |
About Ulrike Brüning
Ulrike Brüning is a scholar working on Cancer Research, Molecular Biology, Biochemistry, Oncology and Pharmaceutical Science, having authored 33 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (11 papers), NF-κB Signaling Pathways (8 papers), Gut microbiota and health (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Cancer, Lipids, and Metabolism (4 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Signaling Pathways in Disease (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Cancer Research (998 citations), Biochemistry (136 citations), Molecular Biology (1.1k citations), Immunology (223 citations) and Oncology (251 citations). Ulrike Brüning has collaborated with scholars based in Germany, Ireland and Belgium. Frequent co-authors include Cormac T. Taylor, Eoin P. Cummins, Carsten C. Scholz, Alex Cheong, Susan F. Fitzpatrick, Murtaza M. Tambuwala, Peter Carmeliet, Brian W. Wong, Anna Kuchnio and Martin Oliver Leonard. Their work appears in journals such as Nature, The FASEB Journal, Journal of Cell Science, Cell Metabolism and The Journal of Immunology.
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.