Micha Bayer
- Plant Science top 1%
- Wheat and Barley Genetics and Pathology 14
- Plant Disease Resistance and Genetics 11
- Chromosomal and Genetic Variations 6
- Genetics top 2%
- Genetic Mapping and Diversity in Plants and Animals 9
- Endocrinology top 5%
- Ecology top 5%
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 16
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- Diatoms and Algae Research 8
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- Marine Ecology and Invasive Species 4
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- Morphological variations and asymmetry 4
- Co-authors
- David MarshallIain MilnePaul D. ShawLinda CardleGordon StephenFrank WrightLeighton PritchardPeter Cock
- Cited by
- Plant ScienceGeneticsEndocrinology
- Journals
- Bioinformatics (4 papers)Theoretical and Applied Genetics (4 papers)The Plant Journal (4 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Micha Bayer
57 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Plant Science 1.8k
- Genetics 866
- Endocrinology 143
- Ecology 509
- Molecular Biology 1.3k
Countries citing papers authored by Micha Bayer
This map shows the geographic impact of Micha Bayer'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 Micha Bayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Micha Bayer more than expected).
Fields of papers citing papers by Micha Bayer
This network shows the impact of papers produced by Micha Bayer. 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 Micha Bayer. The network helps show where Micha Bayer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Micha Bayer, 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 | 2023 | 6 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 26 | |
| 4 | 2022 | 12 | |
| 5 | 2020 | 6 | |
| 6 | 2020 | 25 | |
| 7 | 2018 | 6 | |
| 8 | 2018 | 44 | |
| 9 | 2017 | 202 | |
| 10 | 2015 | 21 | |
| 11 | 2014 | 112 | |
| 12 | Natural variation in a homolog of Antirrhinum CENTRORADIALIS contributed to spring growth habit and environmental adaptation in cultivated barleybreakdown → | 2012 | 356 |
| 13 | 2011 | 35 | |
| 14 | 2010 | 59 | |
| 15 | 2007 | 2 | |
| 16 | 2005 | 35 | |
| 17 | 2002 | 84 | |
| 18 | 2002 | 6 | |
| 19 | 2001 | 1 | |
| 20 | 1999 | 29 |
About Micha Bayer
Micha Bayer is a scholar working on Plant Science, Biomaterials, Geometry and Topology, Ecological Modeling and Information Systems and Management, having authored 57 papers that have together received 3.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), Wheat and Barley Genetics and Pathology (14 papers), Plant Disease Resistance and Genetics (11 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Diatoms and Algae Research (8 papers), Chromosomal and Genetic Variations (6 papers), Marine Ecology and Invasive Species (4 papers) and Morphological variations and asymmetry (4 papers). The work is most often cited by research in Plant Science (1.8k citations), Genetics (866 citations), Endocrinology (143 citations), Ecology (509 citations) and Molecular Biology (1.3k citations). Micha Bayer has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include David Marshall, Iain Milne, Paul D. Shaw, Linda Cardle, Gordon Stephen, Frank Wright, Leighton Pritchard, Peter Cock, Dominik Lindner and Gráinne McGuire. Their work appears in journals such as Bioinformatics, Theoretical and Applied Genetics, The Plant Journal, PLANT PHYSIOLOGY and Frontiers in Plant 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.