G. Schachermayr

2.3k total citations
18 papers, 1.8k citations indexed

About

G. Schachermayr is a scholar working on Plant Science, Genetics and Cell Biology. According to data from OpenAlex, G. Schachermayr has authored 18 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 4 papers in Genetics and 3 papers in Cell Biology. Recurrent topics in G. Schachermayr's work include Wheat and Barley Genetics and Pathology (15 papers), Plant Disease Resistance and Genetics (9 papers) and Genetics and Plant Breeding (8 papers). G. Schachermayr is often cited by papers focused on Wheat and Barley Genetics and Pathology (15 papers), Plant Disease Resistance and Genetics (9 papers) and Genetics and Plant Breeding (8 papers). G. Schachermayr collaborates with scholars based in Switzerland, France and Hungary. G. Schachermayr's co-authors include Beat Keller, M. Winzeler, Catherine Feuillet, Monika Messmer, H. Winzeler, Sophie Paillard, Thorsten Schnurbusch, Ralf Seyfarth, Martin Keller and M. D. Gale and has published in prestigious journals such as Nature Biotechnology, The Plant Journal and Theoretical and Applied Genetics.

In The Last Decade

G. Schachermayr

18 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Schachermayr Switzerland 16 1.7k 422 379 181 98 18 1.8k
Helen McFadden Australia 11 1.8k 1.1× 318 0.8× 506 1.3× 119 0.7× 170 1.7× 11 1.9k
Jianzhong Wu Japan 22 1.2k 0.7× 542 1.3× 480 1.3× 59 0.3× 109 1.1× 41 1.4k
Sambasivam Periyannan Australia 19 2.0k 1.2× 405 1.0× 525 1.4× 82 0.5× 177 1.8× 43 2.1k
Z. A. Pretorius South Africa 20 1.2k 0.7× 222 0.5× 398 1.1× 158 0.9× 129 1.3× 58 1.2k
P. D. Chen China 12 1.1k 0.7× 159 0.4× 309 0.8× 204 1.1× 33 0.3× 14 1.2k
Colin W. Hiebert Canada 21 1.3k 0.7× 353 0.8× 303 0.8× 76 0.4× 160 1.6× 65 1.3k
Kristin Simons United States 12 1.2k 0.7× 373 0.9× 259 0.7× 152 0.8× 134 1.4× 27 1.3k
Amy Bernardo United States 18 1.1k 0.6× 289 0.7× 184 0.5× 291 1.6× 89 0.9× 63 1.1k
Alina Akhunova United States 20 1.5k 0.8× 284 0.7× 678 1.8× 66 0.4× 104 1.1× 32 1.6k
W. J. Raupp United States 18 1.9k 1.1× 369 0.9× 407 1.1× 39 0.2× 203 2.1× 25 2.0k

Countries citing papers authored by G. Schachermayr

Since Specialization
Citations

This map shows the geographic impact of G. Schachermayr'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 G. Schachermayr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Schachermayr more than expected).

Fields of papers citing papers by G. Schachermayr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Schachermayr. 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 G. Schachermayr. The network helps show where G. Schachermayr may publish in the future.

Co-authorship network of co-authors of G. Schachermayr

This figure shows the co-authorship network connecting the top 25 collaborators of G. Schachermayr. A scholar is included among the top collaborators of G. Schachermayr 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 G. Schachermayr. G. Schachermayr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Stamp, P., M. Winzeler, H. Winzeler, et al.. (2005). Inheritance of field resistance to Stagonospora nodorum leaf and glume blotch and correlations with other morphological traits in hexaploid wheat (Triticum aestivum L.). Theoretical and Applied Genetics. 111(2). 325–336. 48 indexed citations
2.
Paillard, Sophie, Thorsten Schnurbusch, Ravi Tiwari, et al.. (2004). QTL analysis of resistance to Fusarium head blight in Swiss winter wheat (Triticum aestivum L.). Theoretical and Applied Genetics. 109(2). 323–332. 154 indexed citations
3.
Schnurbusch, Thorsten, Sophie Paillard, Dario Fossati, et al.. (2003). Detection of QTLs for Stagonospora glume blotch resistance in Swiss winter wheat. Theoretical and Applied Genetics. 107(7). 1226–1234. 52 indexed citations
4.
Paillard, Sophie, Thorsten Schnurbusch, M. Winzeler, et al.. (2003). An integrative genetic linkage map of winter wheat (Triticum aestivum L.). Theoretical and Applied Genetics. 107(7). 1235–1242. 159 indexed citations
5.
Schnurbusch, Thorsten, Sophie Paillard, Monika Messmer, et al.. (2003). Dissection of quantitative and durable leaf rust resistance in Swiss winter wheat reveals a major resistance QTL in the Lr34 chromosomal region. Theoretical and Applied Genetics. 108(3). 477–484. 108 indexed citations
6.
Schachermayr, G. & P. M. Fried. (2000). Focus on problems with fusaria and their mycotoxins.. 7(6). 252–257. 3 indexed citations
7.
Schachermayr, G. & P. M. Fried. (2000). Fusarium head blight of cereals in Switzerland.. 32(6). 241–246. 3 indexed citations
8.
Seyfarth, Ralf, Catherine Feuillet, G. Schachermayr, et al.. (2000). Molecular mapping of the adult-plant leaf rust resistance gene Lr13 in wheat (Triticum aestivum L.).. Journal of genetics & breeding. 54(3). 193–198. 26 indexed citations
9.
Messmer, Monika, Ralf Seyfarth, Martin Keller, et al.. (2000). Genetic analysis of durable leaf rust resistance in winter wheat. Theoretical and Applied Genetics. 100(3-4). 419–431. 124 indexed citations
10.
Schachermayr, G., et al.. (2000). Antifungal activity of a virally encoded gene in transgenic wheat. Nature Biotechnology. 18(4). 446–449. 75 indexed citations
11.
Seyfarth, Ralf, Catherine Feuillet, G. Schachermayr, M. Winzeler, & Beat Keller. (1999). Development of a molecular marker for the adult plant leaf rust resistance gene Lr35 in wheat. Theoretical and Applied Genetics. 99(3-4). 554–560. 80 indexed citations
12.
Keller, Martin, Beat Keller, G. Schachermayr, et al.. (1999). Quantitative trait loci for resistance against powdery mildew in a segregating wheat×spelt population. Theoretical and Applied Genetics. 98(6-7). 903–912. 127 indexed citations
13.
Feuillet, Catherine, G. Schachermayr, & Beat Keller. (1997). Molecular cloning of a new receptor‐like kinase gene encoded at the Lr10 disease resistance locus of wheat. The Plant Journal. 11(1). 45–52. 244 indexed citations
14.
Schachermayr, G., Catherine Feuillet, & Beat Keller. (1997). Molecular markers for the detection of the wheat leaf rust resistance gene Lr10 in diverse genetic backgrounds. Molecular Breeding. 3(1). 65–74. 87 indexed citations
15.
Feuillet, Catherine, Monika Messmer, G. Schachermayr, & Beat Keller. (1995). Genetic and physical characterization of theLR1 leaf rust resistance locus in wheat (Triticum aestivum L.). Molecular and General Genetics MGG. 248(5). 553–562. 69 indexed citations
16.
Schachermayr, G., Monika Messmer, Catherine Feuillet, et al.. (1995). Identification of molecular markers linked to the Agropyron elongatum-derived leaf rust resistance gene Lr24 in wheat. Theoretical and Applied Genetics. 90(7-8). 982–990. 153 indexed citations
17.
Schachermayr, G., et al.. (1994). Identification and localization of molecular markers linked to the Lr9 leaf rust resistance gene of wheat. Theoretical and Applied Genetics. 88(1). 110–115. 160 indexed citations
18.
Messmer, Monika, et al.. (1994). Genetic diversity in European wheat and spelt breeding material based on RFLP data. Theoretical and Applied Genetics. 88(8). 994–1003. 81 indexed citations

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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