Daniela Hühn
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
-
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Photosynthetic Processes and Mechanisms
Papers in
-
- DNA Repair Mechanisms 4
- Epigenetics and DNA Methylation 2
- CRISPR and Genetic Engineering 2
- Heat shock proteins research 1
- Oncology 3
- Co-authors
- Hélène Vigeolas (2 shared papers)Peter Geigenberger (2 shared papers)Pavel Janščák (5 shared papers)Joost T. van Dongen (1 shared paper)Peter Waldeck (1 shared paper)Jiří Bártek (2 shared papers)Jana Dobrovolná (1 shared paper)Václav Urban (1 shared paper)
- Journals
- Molecular Cell (2 papers)Journal of Cell Science (2 papers)PLANT PHYSIOLOGY (2 papers)Molecular Oncology (1 paper)EBioMedicine (1 paper)
- Partner nations
- SwedenSwitzerlandSpain
In The Last Decade
Daniela Hühn
13 papers receiving 583 citations
Peers
Comparison fields: 5 of 80
- Biochemistry 56
- Molecular Biology 421
- Cell Biology 78
- Oncology 111
- Plant Science 159
Countries citing papers authored by Daniela Hühn
This map shows the geographic impact of Daniela Hühn'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 Hühn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Hühn more than expected).
Fields of papers citing papers by Daniela Hühn
This network shows the impact of papers produced by Daniela Hühn. 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 Hühn. The network helps show where Daniela Hühn may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Hühn, 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 | 2003 | 104 | |
| 2 | 2017 | 83 | |
| 3 | 2013 | 76 | |
| 4 | 2011 | 68 | |
| 5 | 2016 | 63 | |
| 6 | 2004 | 53 | |
| 7 | 2009 | 41 | |
| 8 | 2019 | 39 | |
| 9 | 2021 | 20 | |
| 10 | 2016 | 16 | |
| 11 | 2018 | 15 | |
| 12 | 2009 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2026 | 0 | |
| 15 | 2024 | 0 |
About Daniela Hühn
Daniela Hühn is a scholar working on Molecular Biology, Oncology, Neurology, Cell Biology and Biochemistry, having authored 15 papers that have together received 585 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Lipid metabolism and biosynthesis (2 papers), Plant responses to water stress (2 papers), Epigenetics and DNA Methylation (2 papers), CRISPR and Genetic Engineering (2 papers), Heat shock proteins research (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Biochemistry (56 citations), Molecular Biology (421 citations), Cell Biology (78 citations), Oncology (111 citations) and Plant Science (159 citations). Daniela Hühn has collaborated with scholars based in Sweden, Switzerland and Spain. Frequent co-authors include Hélène Vigeolas, Peter Geigenberger, Pavel Janščák, Joost T. van Dongen, Peter Waldeck, Jiří Bártek, Jana Dobrovolná, Václav Urban, Iver Petersen and Manuela Pacyna‐Gengelbach. Their work appears in journals such as Molecular Cell, Journal of Cell Science, PLANT PHYSIOLOGY, Molecular Oncology and EBioMedicine.
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.