Mona Schreiber

1.6k total citations
18 papers, 573 citations indexed

About

Mona Schreiber is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Mona Schreiber has authored 18 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 8 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Mona Schreiber's work include Wheat and Barley Genetics and Pathology (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Genomics and Phylogenetic Studies (4 papers). Mona Schreiber is often cited by papers focused on Wheat and Barley Genetics and Pathology (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Genomics and Phylogenetic Studies (4 papers). Mona Schreiber collaborates with scholars based in Germany, Switzerland and United States. Mona Schreiber's co-authors include Martin Mascher, Nils Stein, Murukarthick Jayakodi, Uwe Scholz, Jochen C. Reif, Andreas Graner, Axel Himmelbach, Andreas Börner, Cécile Monat and Stefan A. Rensing and has published in prestigious journals such as Nature Genetics, Nature Reviews Genetics and Scientific Reports.

In The Last Decade

Mona Schreiber

17 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mona Schreiber Germany 12 444 221 170 53 36 18 573
Djamel Baâli-Cherif Algeria 10 270 0.6× 238 1.1× 136 0.8× 7 0.1× 111 3.1× 12 483
Taihachi Kawahara Japan 17 798 1.8× 366 1.7× 237 1.4× 85 1.6× 157 4.4× 39 917
Zu-Li Yang United States 9 708 1.6× 330 1.5× 134 0.8× 46 0.9× 52 1.4× 9 788
Perumal Azhaguvel United States 12 700 1.6× 279 1.3× 210 1.2× 122 2.3× 54 1.5× 17 787
Létizia Camus‐Kulandaivelu France 14 518 1.2× 373 1.7× 145 0.9× 38 0.7× 65 1.8× 18 716
K E P Rao India 12 323 0.7× 156 0.7× 38 0.2× 135 2.5× 74 2.1× 33 471
Jason Coburn United States 4 1.0k 2.3× 773 3.5× 168 1.0× 25 0.5× 39 1.1× 5 1.1k
Carolina L. Pometti Argentina 12 113 0.3× 167 0.8× 67 0.4× 15 0.3× 133 3.7× 28 317
Ann Corey United States 8 425 1.0× 258 1.2× 100 0.6× 80 1.5× 30 0.8× 11 505
D. González de León France 10 856 1.9× 411 1.9× 166 1.0× 126 2.4× 39 1.1× 13 962

Countries citing papers authored by Mona Schreiber

Since Specialization
Citations

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

Fields of papers citing papers by Mona Schreiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mona Schreiber

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

All Works

18 of 18 papers shown
1.
Farmonov, Nizom, Christian Lampei, Mona Schreiber, et al.. (2025). Optimizing hybrid models for forest leaf and canopy trait mapping from EnMAP hyperspectral data with limited field samples. Science of Remote Sensing. 12. 100253–100253.
2.
Hiltemann, Saskia, et al.. (2024). Enhanced sensitivity of TAPscan v4 enables comprehensive analysis of streptophyte transcription factor evolution. The Plant Journal. 121(1). e17184–e17184. 5 indexed citations
3.
Schreiber, Mona, Murukarthick Jayakodi, Nils Stein, & Martin Mascher. (2024). Plant pangenomes for crop improvement, biodiversity and evolution. Nature Reviews Genetics. 25(8). 563–577. 37 indexed citations
4.
Mascher, Martin, et al.. (2024). Are cereal grasses a single genetic system?. Nature Plants. 10(5). 719–731. 1 indexed citations
5.
Schreiber, Mona, Natalie Koch, Jörg Fuchs, et al.. (2022). Recombination Landscape Divergence Between Populations is Marked by Larger Low-Recombining Regions in Domesticated Rye. Molecular Biology and Evolution. 39(6). 13 indexed citations
6.
Schreiber, Mona, Stefan A. Rensing, & Sven B. Gould. (2022). The greening ashore. Trends in Plant Science. 27(9). 847–857. 14 indexed citations
7.
Winkelbach, Laura, et al.. (2022). Was the Fishing Village of Lepenski Vir Built by Europe’s First Farmers?. Journal of World Prehistory. 35(2). 109–133. 7 indexed citations
8.
Schreiber, Mona, et al.. (2021). Signatures of Transcription Factor Evolution and the Secondary Gain of Red Algae Complexity. Genes. 12(7). 1055–1055. 10 indexed citations
9.
Renzaglia, Karen S., Noé Fernández‐Pozo, Fabien Nogué, et al.. (2021). HAG1 and SWI3A/B control of male germ line development in P. patens suggests conservation of epigenetic reproductive control across land plants. Plant Reproduction. 34(2). 149–173. 13 indexed citations
10.
Schreiber, Mona, Corinna Trautewig, Axel Himmelbach, et al.. (2021). Genome-wide identification of loci modifying spike-branching in tetraploid wheat. Theoretical and Applied Genetics. 134(7). 1925–1943. 10 indexed citations
11.
Winkelbach, Laura, Jens Blöcher, Yoan Diekmann, et al.. (2021). Ancient genomes provide insights into family structure and the heredity of social status in the early Bronze Age of southeastern Europe. Scientific Reports. 11(1). 10072–10072. 22 indexed citations
12.
Jayakodi, Murukarthick, Mona Schreiber, Nils Stein, & Martin Mascher. (2021). Building pan-genome infrastructures for crop plants and their use in association genetics. DNA Research. 28(1). 64 indexed citations
13.
Mascher, Martin, Mona Schreiber, Uwe Scholz, et al.. (2019). Genebank genomics bridges the gap between the conservation of crop diversity and plant breeding. Nature Genetics. 51(7). 1076–1081. 151 indexed citations
14.
Schreiber, Mona, Nils Stein, & Martin Mascher. (2018). Genomic approaches for studying crop evolution. Genome biology. 19(1). 140–140. 43 indexed citations
15.
Monat, Cécile, Mona Schreiber, Nils Stein, & Martin Mascher. (2018). Prospects of pan-genomics in barley. Theoretical and Applied Genetics. 132(3). 785–796. 35 indexed citations
16.
Schreiber, Mona, et al.. (2018). Domestication and crop evolution of wheat and barley: Genes, genomics, and future directions. Journal of Integrative Plant Biology. 61(3). 204–225. 88 indexed citations
17.
Schreiber, Mona, Axel Himmelbach, Andreas Börner, & Martin Mascher. (2018). Genetic diversity and relationship between domesticated rye and its wild relatives as revealed through genotyping‐by‐sequencing. Evolutionary Applications. 12(1). 66–77. 44 indexed citations
18.
Debener, Thomas, et al.. (2003). Marker assisted background selection for the introgression of black spot resistance into cultivated roses. European Journal of Horticultural Science. 245–252. 16 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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