C. Schüller
Impact in
- Plant Science top 2%
- Chromosomal and Genetic Variations
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- Wheat and Barley Genetics and Pathology
- Plant-Microbe Interactions and Immunity
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- Genomics and Phylogenetic Studies
Papers in
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- Chromosomal and Genetic Variations 4
- Plant Molecular Biology Research 2
- Wheat and Barley Genetics and Pathology 2
- Powdery Mildew Fungal Diseases 1
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- Genomics and Phylogenetic Studies 2
- Bioinformatics and Genomic Networks 2
- Mitochondrial Function and Pathology 1
- Fungal and yeast genetics research 1
- Co-authors
- G. Fischbeck (2 shared papers)Ahmed Jahoor (2 shared papers)Rudolf J. Schweyen (1 shared paper)Georg F. Weiller (1 shared paper)Gunter Backes (1 shared paper)Josep Roca (1 shared paper)Philipp Antczak (1 shared paper)Marta Cascante (1 shared paper)
- Journals
- Nature (2 papers)Theoretical and Applied Genetics (2 papers)FEBS Letters (1 paper)Journal of Translational Medicine (1 paper)Methods in molecular biology (1 paper)
- Partner nations
- GermanyUnited KingdomBelgium
In The Last Decade
C. Schüller
8 papers receiving 1.2k citations
C. Schüller's Hit Papers
Peers
Comparison fields: 5 of 63
- Plant Science 899
- Molecular Biology 352
- Spectroscopy 80
- Genetics 136
- Biochemistry 18
Countries citing papers authored by C. Schüller
This map shows the geographic impact of C. Schüller'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 C. Schüller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Schüller more than expected).
Fields of papers citing papers by C. Schüller
This network shows the impact of papers produced by C. Schüller. 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 C. Schüller. The network helps show where C. Schüller may publish in the future.
Co-authors
The 13 scholars most cited alongside C. Schüller, 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 | Analysis of 1.9 Mb of contiguous sequence from chromosome 4 of Arabidopsis thaliana Hit paper breakdown → | 1998 | 755 |
| 2 | 1999 | 307 | |
| 3 | 1992 | 56 | |
| 4 | 1989 | 46 | |
| 5 | 1999 | 32 | |
| 6 | 2014 | 22 | |
| 7 | 1993 | 19 | |
| 8 | 2010 | 1 |
About C. Schüller
C. Schüller is a scholar working on Plant Science, Molecular Biology, Spectroscopy, Genetics and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (4 papers), Plant Molecular Biology Research (2 papers), Wheat and Barley Genetics and Pathology (2 papers), Genomics and Phylogenetic Studies (2 papers), Bioinformatics and Genomic Networks (2 papers), Powdery Mildew Fungal Diseases (1 paper), Mitochondrial Function and Pathology (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Plant Science (899 citations), Molecular Biology (352 citations), Spectroscopy (80 citations), Genetics (136 citations) and Biochemistry (18 citations). C. Schüller has collaborated with scholars based in Germany, United Kingdom and Belgium. Frequent co-authors include G. Fischbeck, Ahmed Jahoor, Rudolf J. Schweyen, Georg F. Weiller, Gunter Backes, Josep Roca, Philipp Antczak, Marta Cascante, David Gómez-Cabrero and Francesco Falciani B. Their work appears in journals such as Nature, Theoretical and Applied Genetics, FEBS Letters, Journal of Translational Medicine and Methods in molecular biology.
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.