Tobias A. Schrag

1.9k total citations
27 papers, 1.4k citations indexed

About

Tobias A. Schrag is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Tobias A. Schrag has authored 27 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 25 papers in Plant Science and 3 papers in Molecular Biology. Recurrent topics in Tobias A. Schrag's work include Genetic Mapping and Diversity in Plants and Animals (25 papers), Genetics and Plant Breeding (20 papers) and Genetic and phenotypic traits in livestock (18 papers). Tobias A. Schrag is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (25 papers), Genetics and Plant Breeding (20 papers) and Genetic and phenotypic traits in livestock (18 papers). Tobias A. Schrag collaborates with scholars based in Germany, Netherlands and China. Tobias A. Schrag's co-authors include Albrecht E. Melchinger, Matthias Frisch, Frank Technow, Christian Riedelsheimer, Wolfgang Schipprack, Stefan Scholten, Alexander Thiemann, Eva Bauer, Junjie Fu and Elisabetta Frascaroli and has published in prestigious journals such as Genetics, Plant Cell & Environment and Theoretical and Applied Genetics.

In The Last Decade

Tobias A. Schrag

27 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tobias A. Schrag Germany 21 1.3k 1.1k 187 92 23 27 1.4k
Weiya Xue China 16 2.1k 1.7× 1.3k 1.2× 578 3.1× 117 1.3× 8 0.3× 18 2.2k
Hanan Sela Israel 18 1.4k 1.1× 385 0.4× 329 1.8× 118 1.3× 12 0.5× 44 1.4k
A. E. Van Deynze United States 13 1.5k 1.2× 754 0.7× 310 1.7× 87 0.9× 10 0.4× 15 1.6k
Alfonso Cuesta‐Marcos United States 19 1.2k 0.9× 607 0.6× 215 1.1× 186 2.0× 5 0.2× 37 1.3k
Timothy J. March Australia 13 628 0.5× 252 0.2× 148 0.8× 117 1.3× 10 0.4× 26 695
Qijun Weng China 5 945 0.8× 627 0.6× 372 2.0× 44 0.5× 4 0.2× 5 1.2k
Jetty S. S. Ammiraju United States 18 1.2k 0.9× 458 0.4× 389 2.1× 108 1.2× 5 0.2× 24 1.3k
Mark J. Millard United States 8 659 0.5× 568 0.5× 133 0.7× 73 0.8× 4 0.2× 9 777
Merlyn S. Mendioro Philippines 20 1.2k 0.9× 352 0.3× 110 0.6× 42 0.5× 5 0.2× 36 1.2k
Fengmei Gao China 13 1.0k 0.8× 556 0.5× 89 0.5× 215 2.3× 3 0.1× 16 1.1k

Countries citing papers authored by Tobias A. Schrag

Since Specialization
Citations

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

Fields of papers citing papers by Tobias A. Schrag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tobias A. Schrag. 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 Tobias A. Schrag. The network helps show where Tobias A. Schrag may publish in the future.

Co-authorship network of co-authors of Tobias A. Schrag

This figure shows the co-authorship network connecting the top 25 collaborators of Tobias A. Schrag. A scholar is included among the top collaborators of Tobias A. Schrag 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 Tobias A. Schrag. Tobias A. Schrag 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.
Würschum, Tobias, H. Friedrich Utz, Alfons Gierl, et al.. (2021). High-resolution association mapping with libraries of immortalized lines from ancestral landraces. Theoretical and Applied Genetics. 135(1). 243–256. 5 indexed citations
2.
Schrag, Tobias A., Georg Thaller, H. Friedrich Utz, et al.. (2017). Omics-based hybrid prediction in maize. Theoretical and Applied Genetics. 130(9). 1927–1939. 83 indexed citations
3.
Utz, H. Friedrich, Wenxin Liu, Tobias A. Schrag, et al.. (2015). Choice of models for QTL mapping with multiple families and design of the training set for prediction of Fusarium resistance traits in maize. Theoretical and Applied Genetics. 129(2). 431–444. 31 indexed citations
4.
Thiemann, Alexander, Junjie Fu, Felix Seifert, et al.. (2014). Genome-wide meta-analysis of maize heterosis reveals the potential role of additive gene expression at pericentromeric loci. BMC Plant Biology. 14(1). 88–88. 31 indexed citations
5.
Stich, Benjamin, Albrecht E. Melchinger, Tobias A. Schrag, et al.. (2013). Root response to temperature extremes: association mapping of temperate maize (Zea mays L). Maydica. 58(2). 156–168. 11 indexed citations
6.
Utz, H. Friedrich, et al.. (2013). High-density genotyping: an overkill for QTL mapping? Lessons learned from a case study in maize and simulations. Theoretical and Applied Genetics. 126(10). 2563–2574. 60 indexed citations
7.
Grieder, Christoph, et al.. (2013). Association mapping for chilling tolerance in elite flint and dent maize inbred lines evaluated in growth chamber and field experiments. Plant Cell & Environment. 36(10). 1871–1887. 75 indexed citations
8.
Frascaroli, Elisabetta, Tobias A. Schrag, & Albrecht E. Melchinger. (2012). Genetic diversity analysis of elite European maize (Zea mays L.) inbred lines using AFLP, SSR, and SNP markers reveals ascertainment bias for a subset of SNPs. Theoretical and Applied Genetics. 126(1). 133–141. 86 indexed citations
9.
Technow, Frank, Christian Riedelsheimer, Tobias A. Schrag, & Albrecht E. Melchinger. (2012). Genomic prediction of hybrid performance in maize with models incorporating dominance and population specific marker effects. Theoretical and Applied Genetics. 125(6). 1181–1194. 132 indexed citations
10.
Uptmoor, Ralf, et al.. (2011). Prediction of flowering time in Brassica oleracea using a quantitative trait loci‐based phenology model. Plant Biology. 14(1). 179–189. 30 indexed citations
11.
Fu, Junjie, Alexander Thiemann, Tobias A. Schrag, et al.. (2011). Partial least squares regression, support vector machine regression, and transcriptome-based distances for prediction of maize hybrid performance with gene expression data. Theoretical and Applied Genetics. 124(5). 825–833. 33 indexed citations
12.
Schrag, Tobias A., Matthias Frisch, B. S. Dhillon, & Albrecht E. Melchinger. (2009). MARKER-BASED PREDICTION OF HYBRID PERFORMANCE IN MAIZE SINGLE-CROSSES INVOLVING DOUBLED HAPLOIDS. Maydica. 54. 353–362. 23 indexed citations
13.
Thiemann, Alexander, Junjie Fu, Tobias A. Schrag, et al.. (2009). Correlation between parental transcriptome and field data for the characterization of heterosis in Zea mays L.. Theoretical and Applied Genetics. 120(2). 401–413. 43 indexed citations
14.
Schrag, Tobias A., Jens Möhring, Albrecht E. Melchinger, et al.. (2009). Prediction of hybrid performance in maize using molecular markers and joint analyses of hybrids and parental inbreds. Theoretical and Applied Genetics. 120(2). 451–461. 56 indexed citations
15.
Reif, Jochen C., Sandra E. Fischer, Tobias A. Schrag, et al.. (2009). Broadening the genetic base of European maize heterotic pools with US Cornbelt germplasm using field and molecular marker data. Theoretical and Applied Genetics. 120(2). 301–310. 36 indexed citations
16.
Frisch, Matthias, Alexander Thiemann, Junjie Fu, et al.. (2009). Transcriptome-based distance measures for grouping of germplasm and prediction of hybrid performance in maize. Theoretical and Applied Genetics. 120(2). 441–450. 80 indexed citations
17.
Schrag, Tobias A., Jens Möhring, Hans Peter Maurer, et al.. (2008). Molecular marker-based prediction of hybrid performance in maize using unbalanced data from multiple experiments with factorial crosses. Theoretical and Applied Genetics. 118(4). 741–751. 71 indexed citations
18.
Schrag, Tobias A., Hans Peter Maurer, Albrecht E. Melchinger, et al.. (2007). Prediction of single-cross hybrid performance in maize using haplotype blocks associated with QTL for grain yield. Theoretical and Applied Genetics. 114(8). 1345–1355. 25 indexed citations
19.
Schrag, Tobias A., Albrecht E. Melchinger, A. Sørensen, & Matthias Frisch. (2006). Prediction of single-cross hybrid performance for grain yield and grain dry matter content in maize using AFLP markers associated with QTL. Theoretical and Applied Genetics. 113(6). 1037–1047. 66 indexed citations
20.
Andersen, Jeppe Reitan, Tobias A. Schrag, Albrecht E. Melchinger, Imad Zein, & Thomas Lübberstedt. (2005). Validation of Dwarf8 polymorphisms associated with flowering time in elite European inbred lines of maize (Zea mays L.). Theoretical and Applied Genetics. 111(2). 206–217. 109 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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