Daniela Dreymueller
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Cell Adhesion Molecules Research 13
- Co-authors
- Andreas LudwigJessica PruessmeyerStefan UhligAaron BabendreyerFranz M. HessChristian MartinCordian BeyerNicole Schwarz
- Journals
- American Journal of Physiology-Lung Cellular and Molecular Physiology (2 papers)The Journal of Steroid Biochemistry and Molecular Biology (2 papers)Cellular and Molecular Life Sciences (2 papers)Journal of Cellular and Molecular Medicine (1 paper)Blood (1 paper)
- Partner nations
- GermanyNetherlandsBelgium
In The Last Decade
Daniela Dreymueller
27 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Immunology and Allergy 246
- Neurology 123
- Immunology 271
- Cancer Research 172
- Oncology 300
Countries citing papers authored by Daniela Dreymueller
This map shows the geographic impact of Daniela Dreymueller'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 Daniela Dreymueller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Dreymueller more than expected).
Fields of papers citing papers by Daniela Dreymueller
This network shows the impact of papers produced by Daniela Dreymueller. 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 Daniela Dreymueller. The network helps show where Daniela Dreymueller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Dreymueller, 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 | 2019 | 21 | |
| 2 | 2019 | 13 | |
| 3 | 2018 | 28 | |
| 4 | 2017 | 26 | |
| 5 | 2017 | 22 | |
| 6 | 2017 | 55 | |
| 7 | 2016 | 55 | |
| 8 | 2016 | 131 | |
| 9 | 2016 | 20 | |
| 10 | 2015 | 32 | |
| 11 | 2015 | 24 | |
| 12 | 2015 | 35 | |
| 13 | 2013 | 59 | |
| 14 | 2013 | 1 | |
| 15 | 2012 | 2 | |
| 16 | 2012 | 36 | |
| 17 | 2012 | 91 | |
| 18 | 2011 | 178 | |
| 19 | 2010 | 43 | |
| 20 | 2010 | 14 |
About Daniela Dreymueller
Daniela Dreymueller is a scholar working on Immunology and Allergy, Developmental Neuroscience, Oncology, Cancer Research and Immunology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (13 papers), Chemokine receptors and signaling (5 papers), Peptidase Inhibition and Analysis (5 papers), Protease and Inhibitor Mechanisms (5 papers), Immune Response and Inflammation (3 papers), HER2/EGFR in Cancer Research (3 papers), Neonatal Respiratory Health Research (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Immunology and Allergy (246 citations), Neurology (123 citations), Immunology (271 citations), Cancer Research (172 citations) and Oncology (300 citations). Daniela Dreymueller has collaborated with scholars based in Germany, Netherlands and Belgium. Frequent co-authors include Andreas Ludwig, Jessica Pruessmeyer, Stefan Uhlig, Aaron Babendreyer, Franz M. Hess, Christian Martin, Cordian Beyer, Nicole Schwarz, Tobias Pasqualon and Bernd Denecke. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, The Journal of Steroid Biochemistry and Molecular Biology, Cellular and Molecular Life Sciences, Journal of Cellular and Molecular Medicine and Blood.
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.