Günther Schweizer

1.1k total citations
32 papers, 810 citations indexed

About

Günther Schweizer is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Günther Schweizer has authored 32 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 7 papers in Cell Biology and 4 papers in Molecular Biology. Recurrent topics in Günther Schweizer's work include Wheat and Barley Genetics and Pathology (20 papers), Plant Disease Resistance and Genetics (9 papers) and Plant Pathogens and Fungal Diseases (7 papers). Günther Schweizer is often cited by papers focused on Wheat and Barley Genetics and Pathology (20 papers), Plant Disease Resistance and Genetics (9 papers) and Plant Pathogens and Fungal Diseases (7 papers). Günther Schweizer collaborates with scholars based in Germany, United Kingdom and Australia. Günther Schweizer's co-authors include Lorenz Hartl, Volker Mohler, Jennifer Häberle, S. L. K. Hsam, Josef Holzapfel, Friedrich J. Zeller, Markus Herz, Gerhard Wenzel, Ye‐Su Song and Gerhard Zimmermann and has published in prestigious journals such as PLoS ONE, Development and Scientific Reports.

In The Last Decade

Günther Schweizer

30 papers receiving 759 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Günther Schweizer Germany 17 751 171 150 126 50 32 810
S. K. St. Martin United States 17 1.1k 1.4× 78 0.5× 109 0.7× 110 0.9× 96 1.9× 81 1.1k
Christian Ametz Austria 11 623 0.8× 151 0.9× 276 1.8× 62 0.5× 60 1.2× 24 654
Jishan Niu China 15 506 0.7× 49 0.3× 73 0.5× 130 1.0× 54 1.1× 53 560
Luciano Consoli Brazil 13 526 0.7× 46 0.3× 120 0.8× 128 1.0× 69 1.4× 30 623
G. Y. Lin United States 17 709 0.9× 65 0.4× 149 1.0× 183 1.5× 32 0.6× 21 783
Carla Ceoloni Italy 20 1.0k 1.4× 128 0.7× 159 1.1× 188 1.5× 106 2.1× 50 1.1k
Zengjun Qi China 16 678 0.9× 53 0.3× 112 0.7× 123 1.0× 29 0.6× 42 705
C. D. Viljoen South Africa 11 323 0.4× 86 0.5× 83 0.6× 95 0.8× 12 0.2× 21 406
C. R. Casela Brazil 13 497 0.7× 320 1.9× 64 0.4× 152 1.2× 95 1.9× 67 578
Jihad Orabi Denmark 15 707 0.9× 44 0.3× 330 2.2× 72 0.6× 65 1.3× 44 780

Countries citing papers authored by Günther Schweizer

Since Specialization
Citations

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

Fields of papers citing papers by Günther Schweizer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Günther Schweizer

This figure shows the co-authorship network connecting the top 25 collaborators of Günther Schweizer. A scholar is included among the top collaborators of Günther Schweizer 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 Günther Schweizer. Günther Schweizer 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.
2.
Schweizer, Günther, et al.. (2019). Deciphering the genetic basis for vitamin E accumulation in leaves and grains of different barley accessions. Scientific Reports. 9(1). 9470–9470. 10 indexed citations
3.
Looseley, Mark, Bianca Büttner, Kathryn M. Wright, et al.. (2018). Resistance to Rhynchosporium commune in a collection of European spring barley germplasm. Theoretical and Applied Genetics. 131(12). 2513–2528. 14 indexed citations
4.
Coulter, Max, Bianca Büttner, Micha Bayer, et al.. (2018). Characterisation of barley resistance to rhynchosporium on chromosome 6HS. Theoretical and Applied Genetics. 132(4). 1089–1107. 12 indexed citations
5.
Sharma, Shailendra, et al.. (2016). Are PECTIN ESTERASE INHIBITOR Genes Involved in Mediating Resistance to Rhynchosporium commune in Barley?. PLoS ONE. 11(3). e0150485–e0150485. 21 indexed citations
6.
Silvar, Cristina, Ana M. Casas, Markus Herz, et al.. (2013). Fine mapping of the Rrs1 resistance locus against scald in two large populations derived from Spanish barley landraces. Theoretical and Applied Genetics. 126(12). 3091–3102. 28 indexed citations
7.
Fürst, Rainer W., Heinrich H.D. Meyer, Günther Schweizer, & Susanne E. Ulbrich. (2011). Is DNA methylation an epigenetic contribution to transcriptional regulation of the bovine endometrium during the estrous cycle and early pregnancy?. Molecular and Cellular Endocrinology. 348(1). 67–77. 17 indexed citations
8.
Häberle, Jennifer, Josef Holzapfel, Günther Schweizer, & Lorenz Hartl. (2009). A major QTL for resistance against Fusarium head blight in European winter wheat. Theoretical and Applied Genetics. 119(2). 325–332. 33 indexed citations
9.
Schweizer, Günther, et al.. (2009). Fine mapping, physical mapping and development of diagnostic markers for the Rrs2 scald resistance gene in barley. Theoretical and Applied Genetics. 119(8). 1507–1522. 32 indexed citations
10.
Druka, Arnis, Hongqiang Li, Zhaohui Sun, et al.. (2008). Towards systems genetic analyses in barley: Integration of phenotypic, expression and genotype data into GeneNetwork. BMC Genetics. 9(1). 73–73. 16 indexed citations
11.
Holzapfel, Josef, Thomas Miedaner, Viktor Korzun, et al.. (2008). Inheritance of resistance to Fusarium head blight in three European winter wheat populations. Theoretical and Applied Genetics. 117(7). 1119–1128. 92 indexed citations
12.
Herz, Markus, et al.. (2005). The gene ENHANCER OF PINOID controls cotyledon development in the Arabidopsis embryo. Development. 132(18). 4063–4074. 88 indexed citations
13.
Song, Ye‐Su, et al.. (2005). Mapping of extreme resistance to PVY (Ry sto) on chromosome XII using anther-culture-derived primary dihaploid potato lines. Theoretical and Applied Genetics. 111(5). 879–887. 93 indexed citations
14.
Schweizer, Günther, et al.. (2004). Stadt und Umland. 5 indexed citations
15.
Schmidt, Dagmar, Marion S. Röder, Harald Dargatz, et al.. (2001). Construction of a YAC library from barley cultivar Franka and identification of YAC-derived markers linked to theRh2 gene conferring resistance to scald (Rhynchosporium secalis). Genome. 44(6). 1031–1040. 10 indexed citations
16.
Hartl, Lorenz, Volker Mohler, Friedrich J. Zeller, S. L. K. Hsam, & Günther Schweizer. (1999). Identification of AFLP markers closely linked to the powdery mildew resistance genes <i>Pm1c</i> and <i>Pm4a </i>in common wheat (<i>Triticum aestivum</i> L.). Genome. 42(2). 322–329. 22 indexed citations
17.
Gebhardt, Hans, Günther Schweizer, & Paul Reuber. (1995). Zuhause in der Großstadt : Ortsbindung und räumliche Identifikation im Verdichtungsraum Köln. 3 indexed citations
18.
Schweizer, Günther, et al.. (1993). Taif : Entwicklung, Struktur und traditionelle Architektur einer arabischen Stadt im Umbruch.
19.
Schweizer, Günther. (1979). Interdisziplinäre Iran-Forschung : Beiträge aus Kulturgeographie, Ethnologie, Soziologie und neuerer Geschichte. Medical Entomology and Zoology. 1 indexed citations
20.
Ehlers, Eckart, et al.. (1970). Strukturwandlungen im nomadisch-bäuerlichen Lebensraum des Orients. F. Steiner eBooks. 1 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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