Christina Lehermeier

1.3k total citations
19 papers, 800 citations indexed

About

Christina Lehermeier is a scholar working on Plant Science, Genetics and Small Animals. According to data from OpenAlex, Christina Lehermeier has authored 19 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 17 papers in Genetics and 1 paper in Small Animals. Recurrent topics in Christina Lehermeier's work include Genetic and phenotypic traits in livestock (17 papers), Genetics and Plant Breeding (17 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). Christina Lehermeier is often cited by papers focused on Genetic and phenotypic traits in livestock (17 papers), Genetics and Plant Breeding (17 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). Christina Lehermeier collaborates with scholars based in Germany, France and United States. Christina Lehermeier's co-authors include Chris‐Carolin Schön, Simon Teyssèdre, Laurence Moreau, Alain Charcosset, Antoine Allier, Valentin Wimmer, Hans-Jürgen Auinger, Gustavo de los Campos, Theresa Albrecht and Yu Wang and has published in prestigious journals such as Genetics, Theoretical and Applied Genetics and BMC Genomics.

In The Last Decade

Christina Lehermeier

19 papers receiving 791 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christina Lehermeier Germany 16 692 666 41 35 27 19 800
Simon Teyssèdre France 13 385 0.6× 346 0.5× 43 1.0× 22 0.6× 28 1.0× 14 486
Valentin Wimmer Germany 13 867 1.3× 868 1.3× 49 1.2× 55 1.6× 19 0.7× 22 1.0k
Hans-Jürgen Auinger Germany 8 645 0.9× 665 1.0× 42 1.0× 36 1.0× 12 0.4× 10 776
Theresa Albrecht Germany 12 652 0.9× 775 1.2× 82 2.0× 49 1.4× 13 0.5× 13 876
Laura E. Tibbs‐Cortes United States 6 221 0.3× 334 0.5× 36 0.9× 74 2.1× 11 0.4× 12 435
J. Jesús Cerón‐Rojas Mexico 9 404 0.6× 471 0.7× 51 1.2× 21 0.6× 9 0.3× 19 526
Carsten Knaak Germany 11 668 1.0× 700 1.1× 42 1.0× 78 2.2× 6 0.2× 12 785
Andrés Gordillo Germany 12 410 0.6× 558 0.8× 63 1.5× 60 1.7× 7 0.3× 17 637
Jihad Orabi Denmark 15 330 0.5× 707 1.1× 65 1.6× 72 2.1× 4 0.1× 44 780
Gen Xu China 12 184 0.3× 324 0.5× 29 0.7× 194 5.5× 23 0.9× 20 500

Countries citing papers authored by Christina Lehermeier

Since Specialization
Citations

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

Fields of papers citing papers by Christina Lehermeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Lehermeier

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

All Works

19 of 19 papers shown
1.
2.
Auinger, Hans-Jürgen, Christina Lehermeier, Daniel Gianola, et al.. (2021). Calibration and validation of predicted genomic breeding values in an advanced cycle maize population. Theoretical and Applied Genetics. 134(9). 3069–3081. 17 indexed citations
3.
Legarra, Andrés, Alain Charcosset, Laurence Moreau, et al.. (2021). Genomic prediction of hybrid crops allows disentangling dominance and epistasis. Genetics. 218(1). 23 indexed citations
4.
Allier, Antoine, Simon Teyssèdre, Christina Lehermeier, Laurence Moreau, & Alain Charcosset. (2020). Optimized breeding strategies to harness genetic resources with different performance levels. BMC Genomics. 21(1). 349–349. 57 indexed citations
5.
Allier, Antoine, et al.. (2019). Assessment of breeding programs sustainability: application of phenotypic and genomic indicators to a North European grain maize program. Theoretical and Applied Genetics. 132(5). 1321–1334. 20 indexed citations
6.
Allier, Antoine, Laurence Moreau, Alain Charcosset, Simon Teyssèdre, & Christina Lehermeier. (2019). Usefulness Criterion and Post-selection Parental Contributions in Multi-parental Crosses: Application to Polygenic Trait Introgression. G3 Genes Genomes Genetics. 9(5). 1469–1479. 40 indexed citations
7.
Allier, Antoine, Simon Teyssèdre, Christina Lehermeier, Alain Charcosset, & Laurence Moreau. (2019). Genomic prediction with a maize collaborative panel: identification of genetic resources to enrich elite breeding programs. Theoretical and Applied Genetics. 133(1). 201–215. 26 indexed citations
8.
Allier, Antoine, Christina Lehermeier, Alain Charcosset, Laurence Moreau, & Simon Teyssèdre. (2019). Improving Short- and Long-Term Genetic Gain by Accounting for Within-Family Variance in Optimal Cross-Selection. Frontiers in Genetics. 10. 1006–1006. 48 indexed citations
9.
Lehermeier, Christina, G. de los Campos, Valentin Wimmer, & Chris‐Carolin Schön. (2017). Genomic variance estimates: With or without disequilibrium covariances?. Journal of Animal Breeding and Genetics. 134(3). 232–241. 41 indexed citations
10.
Lehermeier, Christina, Simon Teyssèdre, & Chris‐Carolin Schön. (2017). Genetic Gain Increases by Applying the Usefulness Criterion with Improved Variance Prediction in Selection of Crosses. Genetics. 207(4). 1651–1661. 59 indexed citations
11.
Lehermeier, Christina, et al.. (2016). Physiological and Behavioral Responses of Dairy Cattle to the Introduction of Robot Scrapers. Frontiers in Veterinary Science. 3. 106–106. 13 indexed citations
12.
Auinger, Hans-Jürgen, Christina Lehermeier, Malthe Schmidt, et al.. (2016). Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.). Theoretical and Applied Genetics. 129(11). 2043–2053. 62 indexed citations
13.
Livaja, Maren, Sandra Unterseer, Christina Lehermeier, et al.. (2015). Diversity analysis and genomic prediction of Sclerotinia resistance in sunflower using a new 25 K SNP genotyping array. Theoretical and Applied Genetics. 129(2). 317–329. 15 indexed citations
14.
Campos, Gustavo de los, Yogasudha Veturi, Ana I. Vázquez, Christina Lehermeier, & Paulino Pérez‐Rodríguez. (2015). Incorporating Genetic Heterogeneity in Whole-Genome Regressions Using Interactions. Journal of Agricultural Biological and Environmental Statistics. 20(4). 467–490. 30 indexed citations
15.
Lehermeier, Christina, Chris‐Carolin Schön, & Gustavo de los Campos. (2015). Assessment of Genetic Heterogeneity in Structured Plant Populations Using Multivariate Whole-Genome Regression Models. Genetics. 201(1). 323–337. 50 indexed citations
16.
Lehermeier, Christina, Nicole Krämer, Eva Bauer, et al.. (2014). Usefulness of Multiparental Populations of Maize (Zea mays L.) for Genome-Based Prediction. Genetics. 198(1). 3–16. 96 indexed citations
17.
Lehermeier, Christina, Eva Bauer, Matthieu Falque, et al.. (2014). Linkage Disequilibrium with Linkage Analysis of Multiline Crosses Reveals Different Multiallelic QTL for Hybrid Performance in the Flint and Dent Heterotic Groups of Maize. Genetics. 198(4). 1717–1734. 65 indexed citations
18.
Wimmer, Valentin, Christina Lehermeier, Theresa Albrecht, et al.. (2013). Genome-Wide Prediction of Traits with Different Genetic Architecture Through Efficient Variable Selection. Genetics. 195(2). 573–587. 102 indexed citations
19.
Lehermeier, Christina, Valentin Wimmer, Theresa Albrecht, et al.. (2013). Sensitivity to prior specification in Bayesian genome-based prediction models. Statistical Applications in Genetics and Molecular Biology. 12(3). 29 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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2026