Daniela Scheuermann
Impact in
- Plant Science top 10%
- Plant-Microbe Interactions and Immunity
- Plant Disease Resistance and Genetics
- Wheat and Barley Genetics and Pathology
- Plant Pathogenic Bacteria Studies
- Genetics and Plant Breeding
- Plant pathogens and resistance mechanisms
- Plant Virus Research Studies
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- Genetic Mapping and Diversity in Plants and Animals
Papers in ⓘ
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- Plant-Microbe Interactions and Immunity 3
- Plant Disease Resistance and Genetics 2
- Wheat and Barley Genetics and Pathology 1
- Plant Pathogenic Bacteria Studies 1
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- Photosynthetic Processes and Mechanisms 1
- Mitochondrial Function and Pathology 1
- Co-authors
- Milena Ouzunova (5 shared papers)Simon G. Krattinger (3 shared papers)Bettina Kessel (3 shared papers)Beat Keller (3 shared papers)Thomas Wicker (2 shared papers)Severine Hurni (2 shared papers)Gerhard Herren (2 shared papers)Thomas Presterl (3 shared papers)
- Journals
- PLANT PHYSIOLOGY (1 paper)Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)New Phytologist (1 paper)The Plant Journal (1 paper)
- Partner nations
- GermanySwitzerlandSaudi Arabia
In The Last Decade
Daniela Scheuermann
5 papers receiving 360 citations
Peers
Comparison fields: 5 of 20
- Plant Science 351
- Genetics 95
- Cell Biology 35
- Molecular Biology 78
- Agronomy and Crop Science 11
Countries citing papers authored by Daniela Scheuermann
This map shows the geographic impact of Daniela Scheuermann'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 Scheuermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Scheuermann more than expected).
Fields of papers citing papers by Daniela Scheuermann
This network shows the impact of papers produced by Daniela Scheuermann. 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 Scheuermann. The network helps show where Daniela Scheuermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Scheuermann, 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 | 240 | |
| 2 | 2018 | 74 | |
| 3 | 2021 | 36 | |
| 4 | 2014 | 12 | |
| 5 | 2024 | 2 |
About Daniela Scheuermann
Daniela Scheuermann is a scholar working on Plant Science, Molecular Biology, Genetics, Cell Biology and Biochemistry, having authored 5 papers that have together received 364 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Plant Disease Resistance and Genetics (2 papers), Wheat and Barley Genetics and Pathology (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Photosynthetic Processes and Mechanisms (1 paper), Mitochondrial Function and Pathology (1 paper) and Plant Pathogenic Bacteria Studies (1 paper). The work is most often cited by research in Plant Science (351 citations), Genetics (95 citations), Cell Biology (35 citations), Molecular Biology (78 citations) and Agronomy and Crop Science (11 citations). Daniela Scheuermann has collaborated with scholars based in Germany, Switzerland and Saudi Arabia. Frequent co-authors include Milena Ouzunova, Simon G. Krattinger, Bettina Kessel, Beat Keller, Thomas Wicker, Severine Hurni, Gerhard Herren, Thomas Presterl, James Breen and Ping Yang. Their work appears in journals such as PLANT PHYSIOLOGY, Proceedings of the National Academy of Sciences, PLoS ONE, New Phytologist and The Plant Journal.
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.