Karl Kugler
- Plant Science top 2%
- Mycotoxins in Agriculture and Food 6
- Wheat and Barley Genetics and Pathology 5
- Plant Molecular Biology Research 5
- Plant-Microbe Interactions and Immunity 4
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks 8
- Gene expression and cancer classification 4
- Cell Biology top 10%
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals 3
- Agronomy and Crop Science top 10%
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- Computational Drug Discovery Methods 5
- Co-authors
- Klaus MayerArmin GraberBrigitte PoppenbergerSimon Josef UnterholznerMatthias PfeiferWilfried RozhonTorgeir R. HvidstenSimen R. Sandve
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Karl Kugler
37 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 117
- Plant Science 1.1k
- Molecular Biology 717
- Cell Biology 150
- Genetics 194
- Agronomy and Crop Science 67
Countries citing papers authored by Karl Kugler
This map shows the geographic impact of Karl Kugler'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 Karl Kugler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Kugler more than expected).
Fields of papers citing papers by Karl Kugler
This network shows the impact of papers produced by Karl Kugler. 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 Karl Kugler. The network helps show where Karl Kugler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karl Kugler, 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 | 2025 | 0 | |
| 2 | 2019 | 31 | |
| 3 | 2016 | 22 | |
| 4 | 2016 | 172 | |
| 5 | 2016 | 12 | |
| 6 | 2014 | 37 | |
| 7 | 2014 | 64 | |
| 8 | 2014 | 252 | |
| 9 | 2013 | 44 | |
| 10 | 2012 | 12 | |
| 11 | 2011 | 14 | |
| 12 | 2011 | 33 | |
| 13 | 2011 | 30 | |
| 14 | 2011 | 34 | |
| 15 | 2011 | 21 | |
| 16 | A Network-based Approach to Classify Disease Stages of Prostate Cancer Using Quantitative Network Measures | 2010 | 3 |
| 17 | 2010 | 16 | |
| 18 | 2010 | 2 | |
| 19 | 2010 | 8 | |
| 20 | 2003 | 22 |
About Karl Kugler
Karl Kugler is a scholar working on Plant Science, Statistics and Probability and Molecular Biology, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Mycotoxins in Agriculture and Food (6 papers), Wheat and Barley Genetics and Pathology (5 papers), Computational Drug Discovery Methods (5 papers), Plant Molecular Biology Research (5 papers), Plant-Microbe Interactions and Immunity (4 papers), Gene expression and cancer classification (4 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). The work is most often cited by research in Plant Science (1.1k citations), Molecular Biology (717 citations) and Cell Biology (150 citations). Karl Kugler has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Klaus Mayer, Armin Graber, Brigitte Poppenberger, Simon Josef Unterholzner, Matthias Pfeifer, Wilfried Rozhon, Torgeir R. Hvidsten, Simen R. Sandve, Heidi Rudi and Bujie Zhan. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.