Sarah Schießl

1.7k total citations
22 papers, 1.0k citations indexed

About

Sarah Schießl is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Sarah Schießl has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 19 papers in Molecular Biology and 5 papers in Biochemistry. Recurrent topics in Sarah Schießl's work include Chromosomal and Genetic Variations (11 papers), Plant Molecular Biology Research (9 papers) and Plant Disease Resistance and Genetics (9 papers). Sarah Schießl is often cited by papers focused on Chromosomal and Genetic Variations (11 papers), Plant Molecular Biology Research (9 papers) and Plant Disease Resistance and Genetics (9 papers). Sarah Schießl collaborates with scholars based in Germany, China and Australia. Sarah Schießl's co-authors include Rod J. Snowdon, Birgit Samans, Annaliese S. Mason, Sarah Hatzig, Richard Reinhardt, Bruno Hüettel, Isobel A. P. Parkin, Jacqueline Batley, Harmeet Singh Chawla and Wei Qian and has published in prestigious journals such as Scientific Reports, New Phytologist and Journal of Experimental Botany.

In The Last Decade

Sarah Schießl

22 papers receiving 990 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Schießl Germany 17 866 624 230 128 22 22 1.0k
Dunia Pino Del Carpio United States 15 796 0.9× 451 0.7× 213 0.9× 64 0.5× 17 0.8× 18 902
Huabang Chen China 15 851 1.0× 548 0.9× 136 0.6× 28 0.2× 38 1.7× 36 965
Zhilin Guan China 6 510 0.6× 450 0.7× 135 0.6× 91 0.7× 11 0.5× 7 653
Zhaoming Qi China 19 988 1.1× 205 0.3× 213 0.9× 56 0.4× 49 2.2× 74 1.1k
Patrick Vincourt France 18 783 0.9× 269 0.4× 158 0.7× 34 0.3× 71 3.2× 31 871
Ruzhen Chang China 18 1.3k 1.5× 280 0.4× 160 0.7× 39 0.3× 66 3.0× 73 1.4k
Karen A. Hudson United States 15 515 0.6× 170 0.3× 60 0.3× 119 0.9× 18 0.8× 32 597
Damiano Martignago Italy 11 549 0.6× 396 0.6× 101 0.4× 21 0.2× 17 0.8× 20 651
Guangqin Cai China 16 679 0.8× 525 0.8× 166 0.7× 271 2.1× 47 2.1× 31 870
Lunwen Qian China 19 738 0.9× 425 0.7× 277 1.2× 127 1.0× 57 2.6× 41 880

Countries citing papers authored by Sarah Schießl

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Schießl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Schießl

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Schießl. A scholar is included among the top collaborators of Sarah Schießl 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 Sarah Schießl. Sarah Schießl 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.
Schierholt, Antje, Sarah Schießl, Fei He, et al.. (2023). Genetic factors inherited from both diploid parents interact to affect genome stability and fertility in resynthesized allotetraploid Brassica napus. G3 Genes Genomes Genetics. 13(8). 2 indexed citations
2.
Schießl, Sarah, et al.. (2021). Using wild relatives and related species to build climate resilience in Brassica crops. Theoretical and Applied Genetics. 134(6). 1711–1728. 50 indexed citations
3.
Chawla, Harmeet Singh, Sarah Schießl, Iulian Gabur, et al.. (2021). A novel deletion in FLOWERING LOCUS T modulates flowering time in winter oilseed rape. Theoretical and Applied Genetics. 134(4). 1217–1231. 21 indexed citations
4.
Huang, Luyao, Min Yao, Sarah Schießl, et al.. (2021). Integrative analysis of GWAS and transcriptome to reveal novel loci regulation flowering time in semi-winter rapeseed. Plant Science. 310. 110980–110980. 21 indexed citations
5.
Chawla, Harmeet Singh, HueyTyng Lee, Iulian Gabur, et al.. (2020). Long‐read sequencing reveals widespread intragenic structural variants in a recent allopolyploid crop plant. Plant Biotechnology Journal. 19(2). 240–250. 47 indexed citations
6.
Schießl, Sarah, et al.. (2020). Transcriptomics reveal high regulatory diversity of drought tolerance strategies in a biennial oil crop. Plant Science. 297. 110515–110515. 12 indexed citations
7.
Schießl, Sarah. (2020). Regulation and Subfunctionalization of Flowering Time Genes in the Allotetraploid Oil Crop Brassica napus. Frontiers in Plant Science. 11. 605155–605155. 25 indexed citations
8.
Schießl, Sarah, et al.. (2019). The vernalisation regulator FLOWERING LOCUS C is differentially expressed in biennial and annual Brassica napus. Scientific Reports. 9(1). 14911–14911. 34 indexed citations
9.
Schießl, Sarah, et al.. (2019). Inherited allelic variants and novel karyotype changes influence fertility and genome stability in Brassica allohexaploids. New Phytologist. 223(2). 965–978. 39 indexed citations
10.
11.
Schießl, Sarah, et al.. (2019). Different copies of SENSITIVITY TO RED LIGHT REDUCED 1 show strong subfunctionalization in Brassica napus. BMC Plant Biology. 19(1). 372–372. 6 indexed citations
12.
Hatzig, Sarah, et al.. (2018). Drought stress has transgenerational effects on seeds and seedlings in winter oilseed rape (Brassica napus L.). BMC Plant Biology. 18(1). 297–297. 111 indexed citations
13.
Schießl, Sarah, et al.. (2018). The role of genomic structural variation in the genetic improvement of polyploid crops. The Crop Journal. 7(2). 127–140. 65 indexed citations
14.
Schießl, Sarah, et al.. (2017). Targeted deep sequencing of flowering regulators in Brassica napus reveals extensive copy number variation. Scientific Data. 4(1). 170013–170013. 31 indexed citations
15.
Hurgobin, Bhavna, Agnieszka A. Golicz, Philipp E. Bayer, et al.. (2017). Homoeologous exchange is a major cause of gene presence/absence variation in the amphidiploid Brassica napus. Plant Biotechnology Journal. 16(7). 1265–1274. 182 indexed citations
16.
Schießl, Sarah, et al.. (2017). Post-polyploidisation morphotype diversification associates with gene copy number variation. Scientific Reports. 7(1). 41845–41845. 57 indexed citations
17.
Schießl, Sarah, et al.. (2017). Flowering Time Gene Variation in Brassica Species Shows Evolutionary Principles. Frontiers in Plant Science. 8. 1742–1742. 32 indexed citations
18.
Hatzig, Sarah, Sarah Schießl, Andreas Stahl, & Rod J. Snowdon. (2015). Characterizing root response phenotypes by neural network analysis. Journal of Experimental Botany. 66(18). 5617–5624. 11 indexed citations
19.
Schießl, Sarah, Federico Iñiguez-Luy, Wei Qian, & Rod J. Snowdon. (2015). Diverse regulatory factors associate with flowering time and yield responses in winter-type Brassica napus. BMC Genomics. 16(1). 737–737. 67 indexed citations
20.
Schießl, Sarah, et al.. (2014). Capturing sequence variation among flowering-time regulatory gene homologs in the allopolyploid crop species Brassica napus. Frontiers in Plant Science. 5. 70 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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