Uwe Scholz
- Plant Science top 0.2%
- Molecular Biology top 2%
- Genetics top 1%
- Ecology, Evolution, Behavior and Systematics top 1%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Martin MascherSebastian BeierThomas ThielThomas A. MünchNils SteinKlaus MayerThomas FriedrichMarco Durante
- Topics
- Plant Disease Resistance and Genetics (29 papers)Wheat and Barley Genetics and Pathology (24 papers)Chromosomal and Genetic Variations (22 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNucleic Acids Research
- Partner nations
- GermanyUnited KingdomCzechia
In The Last Decade
Uwe Scholz
132 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Plant Science 5.0k
- Molecular Biology 3.2k
- Genetics 1.5k
- Ecology, Evolution, Behavior and Systematics 751
- Pulmonary and Respiratory Medicine 495
Countries citing papers authored by Uwe Scholz
This map shows the geographic impact of Uwe Scholz'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 Uwe Scholz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uwe Scholz more than expected).
Fields of papers citing papers by Uwe Scholz
This network shows the impact of papers produced by Uwe Scholz. 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 Uwe Scholz. The network helps show where Uwe Scholz may publish in the future.
Co-authorship network of co-authors of Uwe Scholz
This figure shows the co-authorship network connecting the top 25 collaborators of Uwe Scholz. A scholar is included among the top collaborators of Uwe Scholz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Uwe Scholz. Uwe Scholz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 21 | |
| 5 | 3 | |
| 6 | 142 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | 151 | |
| 11 | 2 | |
| 12 | 34 | |
| 13 | 37 | |
| 14 | Fine mapping of 5 resistance genes on introgressions of Hordeum bulbosum in barley with SNP markers | 1 |
| 15 | 219 | |
| 16 | 111 | |
| 17 | 4 | |
| 18 | A Computational Support for the Access to Integrated Molecular Biology Data. | 3 |
| 19 | MARGBench - An Approach for Integration, Modeling and Animation of Metabolic Networks | 6 |
| 20 | 1 |
About Uwe Scholz
Uwe Scholz is a scholar working on Information Systems and Management, Plant Science and Horticulture, having authored 136 papers that have together received 7.8k indexed citations. Recurring topics across this work include Plant Disease Resistance and Genetics (29 papers), Wheat and Barley Genetics and Pathology (24 papers) and Chromosomal and Genetic Variations (22 papers). The work is most often cited by research in Plant Science (5.0k citations), Genetics (1.5k citations) and Molecular Biology (3.2k citations). Uwe Scholz has collaborated with scholars based in Germany, United Kingdom and Czechia. Frequent co-authors include Martin Mascher, Sebastian Beier, Thomas Thiel, Thomas A. Münch, Nils Stein, Klaus Mayer, Thomas Friedrich, Marco Durante, M. Scholz and Thomas Schmutzer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.
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.