Daniela Hellwig
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
-
- Antifungal resistance and susceptibility
Papers in
-
- Genomics and Chromatin Dynamics 5
-
- Microtubule and mitosis dynamics 5
- Co-authors
- Christian Hoischen (5 shared papers)Stephan Diekmann (5 shared papers)Ronny Martin (7 shared papers)Oliver Kurzai (4 shared papers)Lisa Prendergast (1 shared paper)Michael Weber (2 shared papers)Kevin F. Sullivan (1 shared paper)Patrick Meraldi (2 shared papers)
- Journals
- mBio (2 papers)Nuklearmedizin - NuclearMedicine (2 papers)Yeast (1 paper)PLoS Biology (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Daniela Hellwig
15 papers receiving 336 citations
Peers
Comparison fields: 5 of 58
- Cell Biology 127
- Infectious Diseases 96
- Molecular Biology 232
- Plant Science 120
- Epidemiology 81
Countries citing papers authored by Daniela Hellwig
This map shows the geographic impact of Daniela Hellwig'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 Hellwig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Hellwig more than expected).
Fields of papers citing papers by Daniela Hellwig
This network shows the impact of papers produced by Daniela Hellwig. 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 Hellwig. The network helps show where Daniela Hellwig may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Hellwig, 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 | 2011 | 59 | |
| 2 | 2015 | 54 | |
| 3 | 2011 | 51 | |
| 4 | 2020 | 30 | |
| 5 | 2012 | 27 | |
| 6 | 2008 | 26 | |
| 7 | 2007 | 25 | |
| 8 | 2016 | 20 | |
| 9 | 2017 | 17 | |
| 10 | 2009 | 12 | |
| 11 | 2006 | 10 | |
| 12 | [Comparison of relative 18FDG uptake with metabolic rate (MRGlucose) in the myocardium in CAD, classified by 99m-Tc-MIBI]. | 1995 | 5 |
| 13 | 1995 | 3 | |
| 14 | 1995 | 2 | |
| 15 | [End-diastolic volumes of the left ventricle in computer tomography in comparison to heart catheter ventriculography]. | 1981 | 1 |
About Daniela Hellwig
Daniela Hellwig is a scholar working on Molecular Biology, Cell Biology, Plant Science, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 342 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Microtubule and mitosis dynamics (5 papers), Antifungal resistance and susceptibility (4 papers), Chromosomal and Genetic Variations (4 papers), Fungal Infections and Studies (3 papers), Cardiovascular Function and Risk Factors (3 papers), Peptidase Inhibition and Analysis (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Cell Biology (127 citations), Infectious Diseases (96 citations), Molecular Biology (232 citations), Plant Science (120 citations) and Epidemiology (81 citations). Daniela Hellwig has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Christian Hoischen, Stephan Diekmann, Ronny Martin, Oliver Kurzai, Lisa Prendergast, Michael Weber, Kevin F. Sullivan, Patrick Meraldi, Andrew D. McAinsh and Volker Döring. Their work appears in journals such as mBio, Nuklearmedizin - NuclearMedicine, Yeast, PLoS Biology and Journal of Cell Science.
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.