Daniela Hellwig
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
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- Antifungal resistance and susceptibility
Papers in
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- Genomics and Chromatin Dynamics 5
- Fungal and yeast genetics research 2
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- Microtubule and mitosis dynamics 5
- Co-authors
- Ronny Martin (7 shared papers)Stephan Diekmann (5 shared papers)Christian Hoischen (5 shared papers)Oliver Kurzai (4 shared papers)Michael Weber (2 shared papers)Lisa Prendergast (1 shared paper)Kevin F. Sullivan (1 shared paper)Seána Duggan (1 shared paper)
- Journals
- Nuklearmedizin - NuclearMedicine (2 papers)mBio (2 papers)Journal of Biophotonics (1 paper)Journal of Basic Microbiology (1 paper)Yeast (1 paper)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Daniela Hellwig
15 papers receiving 353 citations
Peers
Comparison fields: 5 of 57
- Cell Biology 130
- Infectious Diseases 99
- Molecular Biology 232
- Plant Science 124
- Epidemiology 82
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 | 2015 | 61 | |
| 2 | 2011 | 61 | |
| 3 | 2011 | 51 | |
| 4 | 2020 | 32 | |
| 5 | 2007 | 28 | |
| 6 | 2012 | 28 | |
| 7 | 2008 | 27 | |
| 8 | 2016 | 21 | |
| 9 | 2017 | 18 | |
| 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 Epidemiology, having authored 15 papers that have together received 360 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), Genomics and Chromatin Dynamics (5 papers), Antifungal resistance and susceptibility (4 papers), Chromosomal and Genetic Variations (4 papers), Fungal Infections and Studies (3 papers), Fungal and yeast genetics research (2 papers), Peptidase Inhibition and Analysis (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Cell Biology (130 citations), Infectious Diseases (99 citations), Molecular Biology (232 citations), Plant Science (124 citations) and Epidemiology (82 citations). Daniela Hellwig has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Ronny Martin, Stephan Diekmann, Christian Hoischen, Oliver Kurzai, Michael Weber, Lisa Prendergast, Kevin F. Sullivan, Seána Duggan, Patrick Meraldi and Konstantin Riege. Their work appears in journals such as Nuklearmedizin - NuclearMedicine, mBio, Journal of Biophotonics, Journal of Basic Microbiology and Yeast.
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.