Micha Bayer

9.0k citations
57 papers · 3.7k indexed · 4 hit papers · h-index 25

Micha Bayer

57 papers receiving 3.6k citations

Hit Papers

Using Tablet for visual exploration of second-generation ...7022008202620142020200400600

Peers

Micha Bayer
Comparison fields: 5 of 118
  • Plant Science 1.8k
  • Genetics 866
  • Endocrinology 143
  • Ecology 509
  • Molecular Biology 1.3k
Replace Shivashankar H. Nagaraj with:
Shivashankar H. Nagaraj Australia
Shengting Li China
Xiaodong Fang China
Konstantinos D. Tsirigos Greece
Tobias Müller Germany
Frank Wright United Kingdom
François Chevenet France
Lukas Wagner United States
A. F. Quinn United Kingdom
Siew-Yit Yong United Kingdom
Micha Bayer relative to Shivashankar H. Nagaraj Australia Shivashankar H. Nagaraj's profile →
Citations per field
00.5×1.5×
Shivashankar H. Nagaraj · 1×
Citations per year

Countries citing papers authored by Micha Bayer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Micha Bayer Line = papers co-authored together Micha Bayer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20236
2 20235
3 202226
4 202212
5 20206
6 202025
7 20186
8 201844
9 2017202
10 201521
11 2014112
12
Natural variation in a homolog of Antirrhinum CENTRORADIALIS contributed to spring growth habit and environmental adaptation in cultivated barleybreakdown →
2012356
13 201135
14 201059
15 20072
16 200535
17 200284
18 20026
19 20011
20 199929

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.

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