Danuta Schüler
Impact in
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- Scientific Computing and Data Management
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- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Plant Disease Resistance and Genetics
Papers in
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- Scientific Computing and Data Management 5
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- Gene expression and cancer classification 2
- Genomics and Phylogenetic Studies 1
- Co-authors
- Matthias Lange (6 shared papers)Daniel Arend (6 shared papers)Uwe Scholz (6 shared papers)Astrid Junker (3 shared papers)Patrick König (2 shared papers)Nils Stein (1 shared paper)Martin Mascher (1 shared paper)Sebastian Beier (1 shared paper)
- Journals
- Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (2 papers)Frontiers in Plant Science (1 paper)Database (1 paper)The Plant Journal (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- Germany
In The Last Decade
Danuta Schüler
5 papers receiving 136 citations
Peers
Comparison fields: 5 of 27
- Information Systems and Management 34
- Plant Science 70
- Ecological Modeling 8
- Information Systems 36
- Genetics 39
Countries citing papers authored by Danuta Schüler
This map shows the geographic impact of Danuta Schüler'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 Danuta Schüler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danuta Schüler more than expected).
Fields of papers citing papers by Danuta Schüler
This network shows the impact of papers produced by Danuta Schüler. 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 Danuta Schüler. The network helps show where Danuta Schüler may publish in the future.
Co-authors
The 23 scholars most cited alongside Danuta Schüler, 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 | 2016 | 77 | |
| 2 | 2020 | 31 | |
| 3 | 2022 | 22 | |
| 4 | 2019 | 9 | |
| 5 | 2014 | 2 | |
| 6 | 2025 | 0 |
About Danuta Schüler
Danuta Schüler is a scholar working on Information Systems and Management, Molecular Biology, Information Systems, Ecological Modeling and Genetics, having authored 6 papers that have together received 141 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (5 papers), Research Data Management Practices (4 papers), Gene expression and cancer classification (2 papers), Genomics and Phylogenetic Studies (1 paper), Wheat and Barley Genetics and Pathology (1 paper), Species Distribution and Climate Change (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper) and Banana Cultivation and Research (1 paper). The work is most often cited by research in Information Systems and Management (34 citations), Plant Science (70 citations), Ecological Modeling (8 citations), Information Systems (36 citations) and Genetics (39 citations). Danuta Schüler has collaborated with scholars based in Germany. Frequent co-authors include Matthias Lange, Daniel Arend, Uwe Scholz, Astrid Junker, Patrick König, Nils Stein, Martin Mascher, Sebastian Beier, Jędrzej Szymański and Jochen Kumlehn. Their work appears in journals such as Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, Frontiers in Plant Science, Database, The Plant Journal and Lecture notes in computer 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.