Hermann Bürstmayr

901 total citations
28 papers, 627 citations indexed

About

Hermann Bürstmayr is a scholar working on Plant Science, Genetics and Cell Biology. According to data from OpenAlex, Hermann Bürstmayr has authored 28 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 11 papers in Genetics and 9 papers in Cell Biology. Recurrent topics in Hermann Bürstmayr's work include Wheat and Barley Genetics and Pathology (14 papers), Mycotoxins in Agriculture and Food (12 papers) and Genetics and Plant Breeding (11 papers). Hermann Bürstmayr is often cited by papers focused on Wheat and Barley Genetics and Pathology (14 papers), Mycotoxins in Agriculture and Food (12 papers) and Genetics and Plant Breeding (11 papers). Hermann Bürstmayr collaborates with scholars based in Austria, Hungary and Morocco. Hermann Bürstmayr's co-authors include Marc Lemmens, P. Ruckenbauer, Sebastian Michel, Franziska Löschenberger, Christian Ametz, Eva Stöger, Julia Hilscher, Fred A. van Eeuwijk, C. H. A. Snijders and L. C. P. Keizer and has published in prestigious journals such as Frontiers in Plant Science, Theoretical and Applied Genetics and EMBO Reports.

In The Last Decade

Hermann Bürstmayr

27 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hermann Bürstmayr Austria 11 579 253 121 87 44 28 627
M. I. E. Arabi Syria 12 631 1.1× 168 0.7× 56 0.5× 112 1.3× 45 1.0× 105 679
Bettina Kessel Germany 16 749 1.3× 162 0.6× 248 2.0× 148 1.7× 36 0.8× 22 773
Christian Ametz Austria 11 623 1.1× 151 0.6× 276 2.3× 62 0.7× 60 1.4× 24 654
Wenchun Zhou United States 8 692 1.2× 325 1.3× 189 1.6× 60 0.7× 36 0.8× 9 716
Gui Xiao China 11 517 0.9× 101 0.4× 68 0.6× 189 2.2× 43 1.0× 22 568
F. Capettini Canada 9 532 0.9× 117 0.5× 209 1.7× 52 0.6× 60 1.4× 26 554
Mohamed Mergoum United States 19 928 1.6× 301 1.2× 253 2.1× 71 0.8× 81 1.8× 49 951
José Sergio Sandoval-Islas Mexico 8 344 0.6× 117 0.5× 119 1.0× 54 0.6× 26 0.6× 39 383
S. B. King India 13 504 0.9× 177 0.7× 81 0.7× 92 1.1× 92 2.1× 41 551
Suraj Gurung United States 18 849 1.5× 289 1.1× 159 1.3× 105 1.2× 27 0.6× 30 868

Countries citing papers authored by Hermann Bürstmayr

Since Specialization
Citations

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

Fields of papers citing papers by Hermann Bürstmayr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hermann Bürstmayr

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

All Works

20 of 20 papers shown
1.
Michel, Sebastian, Franziska Löschenberger, Christian Ametz, & Hermann Bürstmayr. (2023). Toward combining qualitative race-specific and quantitative race-nonspecific disease resistance by genomic selection. Theoretical and Applied Genetics. 136(4). 79–79. 8 indexed citations
3.
Michel, Sebastian, et al.. (2022). Balancing selection gain and genetic diversity in the genomic planning of crosses. Plant Breeding. 141(2). 184–193. 4 indexed citations
4.
Michel, Sebastian, Franziska Löschenberger, Christian Ametz, & Hermann Bürstmayr. (2021). Genotyping crossing parents and family bulks can facilitate cost-efficient genomic prediction strategies in small-scale line breeding programs. Theoretical and Applied Genetics. 134(5). 1575–1586. 1 indexed citations
5.
Doppler, Maria, Alexandra Parich, Kang Xu, et al.. (2020). Preparation of uniformly labelled 13C- and 15N-plants using customised growth chambers. Plant Methods. 16(1). 46–46. 14 indexed citations
7.
Michel, Sebastian, et al.. (2020). Multi-Year Dynamics of Single-Step Genomic Prediction in an Applied Wheat Breeding Program. Agronomy. 10(10). 1591–1591. 3 indexed citations
8.
Foroud, Nora A., Danica Baines, T. Yu. Gagkaeva, et al.. (2019). Trichothecenes in Cereal Grains – An Update. Toxins. 11(11). 634–634. 111 indexed citations
9.
Michel, Sebastian, et al.. (2019). Simultaneous selection for grain yield and protein content in genomics-assisted wheat breeding. Theoretical and Applied Genetics. 132(6). 1745–1760. 64 indexed citations
10.
Michel, Sebastian, et al.. (2019). Improving and Maintaining Winter Hardiness and Frost Tolerance in Bread Wheat by Genomic Selection. Frontiers in Plant Science. 10. 1195–1195. 20 indexed citations
11.
Michel, Sebastian, et al.. (2019). Combining grain yield, protein content and protein quality by multi-trait genomic selection in bread wheat. Theoretical and Applied Genetics. 132(10). 2767–2780. 35 indexed citations
12.
Hilscher, Julia, Hermann Bürstmayr, & Eva Stöger. (2016). Targeted modification of plant genomes for precision crop breeding. Biotechnology Journal. 12(1). 49 indexed citations
13.
Brunner, Kurt, Hermann Bürstmayr, Marc Lemmens, et al.. (2009). A reference-gene-based quantitative PCR method as a tool to determine Fusarium resistance in wheat. Analytical and Bioanalytical Chemistry. 395(5). 1385–1394. 29 indexed citations
14.
Grausgruber, H., Marc Lemmens, Hermann Bürstmayr, & P. Ruckenbauer. (2004). Resistance of ‘Chinese Spring’ Substitution Lines Carrying Chromosomes from ‘Cheyenne’, ‘Hope’ and ‘Lutescens 62’ Wheats to Head Blight Caused by Fusarium Culmorum. Hereditas. 130(1). 57–63. 6 indexed citations
15.
Vida, Gyula, O. Veisz, Hermann Bürstmayr, et al.. (2004). Analysis of Fusarium head blight resistance QTLs in the 'Ning 8331' × 'Martonvásári 17' population.. 189–193. 1 indexed citations
16.
Mitterbauer, Rudolf, Maria Heinrich, Robert Rauscher, et al.. (2003). Trichothecene resistance in wheat: Development of molecular markers for PDR-type ABC transporter genes. Mycotoxin Research. 19(1). 82–86. 4 indexed citations
17.
Grausgruber, H., Hermann Bürstmayr, Marc Lemmens, & P. Ruckenbauer. (1998). Chromosomal location of Fusarium head blight resistance and in vitro toxin tolerance in wheat using the Hobbit "sib" (Triticum macha) chromosome substitution lines [Triticum aestivum L.]. Journal of genetics & breeding. 6 indexed citations
18.
Grausgruber, H., Marc Lemmens, Hermann Bürstmayr, & P. Ruckenbauer. (1998). Chromosomal location of Fusarium head blight resistance and in vitro toxin tolerance in wheat using the Hobbit 'sib' (Triticum macha) chromosome substitution lines. Journal of genetics & breeding. 52(2). 173–180. 13 indexed citations
19.
Eeuwijk, Fred A. van, Ákos Mesterházy, P. Ruckenbauer, et al.. (1995). Assessing non-specificity of resistance in wheat to head blight caused by inoculation with European strains of Fusarium culmorum, F. graminearum and F. nivale using a multiplicative model for interaction. Theoretical and Applied Genetics. 90(2). 221–228. 147 indexed citations
20.
Lemmens, Marc, Hermann Bürstmayr, & P. Ruckenbauer. (1993). Variation for fusarium head blight resistance in current Austrian wheat breeding material. 37(3). 4 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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