Albert W. Schulthess

1.4k total citations
36 papers, 776 citations indexed

About

Albert W. Schulthess is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Albert W. Schulthess has authored 36 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 24 papers in Genetics and 4 papers in Agronomy and Crop Science. Recurrent topics in Albert W. Schulthess's work include Wheat and Barley Genetics and Pathology (31 papers), Genetics and Plant Breeding (23 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). Albert W. Schulthess is often cited by papers focused on Wheat and Barley Genetics and Pathology (31 papers), Genetics and Plant Breeding (23 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). Albert W. Schulthess collaborates with scholars based in Germany, Chile and France. Albert W. Schulthess's co-authors include Jochen C. Reif, Yusheng Zhao, Yong Jiang, Norman Philipp, C. Friedrich H. Longin, Erhard Ebmeyer, Viktor Korzun, Thomas Miedaner, Heiko Weichert and Hans Weber and has published in prestigious journals such as PLoS ONE, Journal of Experimental Botany and Frontiers in Plant Science.

In The Last Decade

Albert W. Schulthess

36 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Albert W. Schulthess Germany 15 722 434 129 50 16 36 776
Ebrahim Kazman Germany 12 739 1.0× 471 1.1× 133 1.0× 69 1.4× 11 0.7× 17 778
Т. А. Пшеничникова Russia 16 615 0.9× 166 0.4× 162 1.3× 151 3.0× 15 0.9× 68 667
Johannes Schacht Germany 10 671 0.9× 443 1.0× 109 0.8× 70 1.4× 6 0.4× 12 712
Fabio Cericola Denmark 11 465 0.6× 297 0.7× 48 0.4× 111 2.2× 34 2.1× 14 569
Panfeng Guan China 13 843 1.2× 399 0.9× 189 1.5× 117 2.3× 16 1.0× 23 882
Gautam Saripalli India 16 773 1.1× 233 0.5× 132 1.0× 154 3.1× 22 1.4× 36 836
Borislav Kobiljski Serbia 15 1.0k 1.4× 366 0.8× 280 2.2× 74 1.5× 10 0.6× 61 1.1k
Vojka Babić Serbia 11 326 0.5× 125 0.3× 125 1.0× 36 0.7× 5 0.3× 64 382
A. E. Corey United States 9 596 0.8× 298 0.7× 52 0.4× 112 2.2× 22 1.4× 13 627
Wuyun Yang China 15 823 1.1× 318 0.7× 175 1.4× 142 2.8× 12 0.8× 64 862

Countries citing papers authored by Albert W. Schulthess

Since Specialization
Citations

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

Fields of papers citing papers by Albert W. Schulthess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert W. Schulthess. 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 Albert W. Schulthess. The network helps show where Albert W. Schulthess may publish in the future.

Co-authorship network of co-authors of Albert W. Schulthess

This figure shows the co-authorship network connecting the top 25 collaborators of Albert W. Schulthess. A scholar is included among the top collaborators of Albert W. Schulthess 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 Albert W. Schulthess. Albert W. Schulthess 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.
Schulthess, Albert W., Renate Schmidt, Guoliang Li, et al.. (2025). Disentangling the genetic architecture of key traits for wheat hybrid seed production. Journal of Experimental Botany. 76(18). 5320–5336. 1 indexed citations
2.
3.
Jiang, Yong, et al.. (2024). Trait-customized sampling of core collections from a winter wheat genebank collection supports association studies. Frontiers in Plant Science. 15. 1451749–1451749. 2 indexed citations
4.
Jiang, Yong, Zakaria Kehel, Albert W. Schulthess, et al.. (2023). Genomic predictions to leverage phenotypic data across genebanks. Frontiers in Plant Science. 14. 1227656–1227656. 8 indexed citations
5.
Kale, Sandip M., Albert W. Schulthess, Sudharsan Padmarasu, et al.. (2022). A catalogue of resistance gene homologs and a chromosome‐scale reference sequence support resistance gene mapping in winter wheat. Plant Biotechnology Journal. 20(9). 1730–1742. 31 indexed citations
6.
Schulthess, Albert W., et al.. (2022). Gabi wheat a panel of European elite lines as central stock for wheat genetic research. Scientific Data. 9(1). 538–538. 13 indexed citations
7.
8.
Schulthess, Albert W., et al.. (2022). Choosing the right tool: Leveraging of plant genetic resources in wheat (Triticum aestivum L.) benefits from selection of a suitable genomic prediction model. Theoretical and Applied Genetics. 135(12). 4391–4407. 5 indexed citations
9.
10.
Sharma, Shivali, Albert W. Schulthess, Filippo M. Bassi, et al.. (2021). Introducing Beneficial Alleles from Plant Genetic Resources into the Wheat Germplasm. Biology. 10(10). 982–982. 57 indexed citations
11.
Ebmeyer, Erhard, et al.. (2021). Efficiency of a Seedling Phenotyping Strategy to Support European Wheat Breeding Focusing on Leaf Rust Resistance. Biology. 10(7). 628–628. 4 indexed citations
12.
Liu, Fang, Dimitar Douchkov, Armin Djamei, et al.. (2020). Identification of novel genetic factors underlying the host-pathogen interaction between barley (Hordeum vulgare L.) and powdery mildew (Blumeria graminis f. sp. hordei). PLoS ONE. 15(7). e0235565–e0235565. 7 indexed citations
13.
Liu, Fang, Yong Jiang, Yusheng Zhao, Albert W. Schulthess, & Jochen C. Reif. (2020). Haplotype-based genome-wide association increases the predictability of leaf rust (Puccinia triticina) resistance in wheat. Journal of Experimental Botany. 71(22). 6958–6968. 17 indexed citations
14.
Philipp, Norman, Stéphan Weise, Markus Oppermann, et al.. (2019). Historical phenotypic data from seven decades of seed regeneration in a wheat ex situ collection. Scientific Data. 6(1). 137–137. 14 indexed citations
15.
Liu, Fang, Yusheng Zhao, Sebastian Beier, et al.. (2019). Exome association analysis sheds light onto leaf rust ( Puccinia triticina ) resistance genes currently used in wheat breeding ( Triticum aestivum L.). Plant Biotechnology Journal. 18(6). 1396–1408. 11 indexed citations
16.
Stiewe, Gunther, et al.. (2019). Proof of concept to unmask the breeding value of genetic resources of barley (Hordeum vulgare) with a hybrid strategy. Plant Breeding. 139(3). 536–549. 5 indexed citations
17.
Weise, Stéphan, Yusheng Zhao, Norman Philipp, et al.. (2018). Unbalanced historical phenotypic data from seed regeneration of a barley ex situ collection. Scientific Data. 5(1). 180278–180278. 13 indexed citations
18.
Philipp, Norman, Albert W. Schulthess, Stéphan Weise, et al.. (2018). Unlocking historical phenotypic data from an ex situ collection to enhance the informed utilization of genetic resources of barley (Hordeum sp.). Theoretical and Applied Genetics. 131(9). 2009–2019. 17 indexed citations
19.
Philipp, Norman, et al.. (2018). Grain number and grain yield distribution along the spike remain stable despite breeding for high yield in winter wheat. PLoS ONE. 13(10). e0205452–e0205452. 94 indexed citations
20.
He, Sang, Albert W. Schulthess, Vilson Mirdita, et al.. (2016). Genomic selection in a commercial winter wheat population. Theoretical and Applied Genetics. 129(3). 641–651. 105 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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