Christian Obermeier

1.1k total citations
37 papers, 740 citations indexed

About

Christian Obermeier is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Christian Obermeier has authored 37 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 13 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Christian Obermeier's work include Plant Disease Resistance and Genetics (15 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Wheat and Barley Genetics and Pathology (8 papers). Christian Obermeier is often cited by papers focused on Plant Disease Resistance and Genetics (15 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and Wheat and Barley Genetics and Pathology (8 papers). Christian Obermeier collaborates with scholars based in Germany, Canada and Australia. Christian Obermeier's co-authors include Rod J. Snowdon, Harmeet Singh Chawla, Iulian Gabur, Kai P. Voss‐Fels, HueyTyng Lee, R. Koenig, Lothar F. Fecker, Andreas von Tiedemann, Carmen Büttner and Sarah Schießl and has published in prestigious journals such as Journal of Virology, Scientific Reports and The Plant Journal.

In The Last Decade

Christian Obermeier

36 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Obermeier Germany 17 620 343 142 56 47 37 740
Zeyang Ma China 22 949 1.5× 721 2.1× 116 0.8× 20 0.4× 37 0.8× 36 1.2k
Mauricio Reynoso United States 11 703 1.1× 550 1.6× 64 0.5× 55 1.0× 20 0.4× 17 910
Yanyong Cao China 15 566 0.9× 248 0.7× 121 0.9× 17 0.3× 40 0.9× 39 652
Aiping Zheng China 17 518 0.8× 303 0.9× 109 0.8× 20 0.4× 54 1.1× 36 698
Kristine Jones United States 5 820 1.3× 623 1.8× 139 1.0× 30 0.5× 23 0.5× 7 1.0k
Sharon K. Marr United States 14 490 0.8× 675 2.0× 65 0.5× 29 0.5× 18 0.4× 16 1.0k
Tom Lawrenson United Kingdom 10 762 1.2× 752 2.2× 69 0.5× 46 0.8× 34 0.7× 13 964
Bram Estes United States 8 851 1.4× 330 1.0× 86 0.6× 28 0.5× 45 1.0× 9 963
Thierry Pélissier France 19 1.0k 1.7× 772 2.3× 71 0.5× 45 0.8× 110 2.3× 27 1.3k
Kyle W. Taylor United States 10 534 0.9× 337 1.0× 31 0.2× 65 1.2× 16 0.3× 11 703

Countries citing papers authored by Christian Obermeier

Since Specialization
Citations

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

Fields of papers citing papers by Christian Obermeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Obermeier

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Obermeier. A scholar is included among the top collaborators of Christian Obermeier 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 Christian Obermeier. Christian Obermeier 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
2.
Alahmad, Samir, Jingyang Tong, Eric Dinglasan, et al.. (2024). Mapping quantitative trait loci for seminal root angle in a selected durum wheat population. The Plant Genome. 18(1). e20490–e20490. 1 indexed citations
3.
Obermeier, Christian, et al.. (2024). Phenotypic and phylogenetic analysis of Verticillium longisporum strains from European and Canadian oilseed rape fields. Plant Pathology. 74(1). 196–209. 1 indexed citations
4.
Voss‐Fels, Kai P., Andreas Stahl, Holger Zetzsche, et al.. (2024). Novel PHOTOPERIOD-1 gene variants associate with yield-related and root-angle traits in European bread wheat. Theoretical and Applied Genetics. 137(6). 125–125. 5 indexed citations
5.
Obermeier, Christian, et al.. (2023). Benchmarking Oxford Nanopore read alignment‐based insertion and deletion detection in crop plant genomes. The Plant Genome. 16(2). e20314–e20314. 4 indexed citations
6.
Harloff, Hans‐Joachim, et al.. (2022). Direct access to millions of mutations by whole genome sequencing of an oilseed rape mutant population. The Plant Journal. 113(4). 866–880. 2 indexed citations
7.
Chawla, Harmeet Singh, Benjamin Wittkop, Andreas Stahl, et al.. (2022). Long-Amplicon Single-Molecule Sequencing Reveals Novel, Trait-Associated Variants of VERNALIZATION1 Homoeologs in Hexaploid Wheat. Frontiers in Plant Science. 13. 942461–942461. 9 indexed citations
8.
Snowdon, Rod J., et al.. (2022). Novel candidate loci for morpho-agronomic and seed quality traits detected by targeted genotyping-by-sequencing in common bean. Frontiers in Plant Science. 13. 1014282–1014282. 5 indexed citations
9.
Obermeier, Christian, et al.. (2022). Development of Breeder-Friendly KASP Markers from Genome-Wide Association Studies Results. Methods in molecular biology. 2481. 287–310. 6 indexed citations
10.
Voss‐Fels, Kai P., Christian Obermeier, Rod J. Snowdon, et al.. (2022). A toolkit to rapidly modify root systems through single plant selection. Plant Methods. 18(1). 2–2. 11 indexed citations
11.
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
12.
Mikołajczyk, Katarzyna, Joanna Nowakowska, Christian Obermeier, et al.. (2021). Local Duplication of TIR-NBS-LRR Gene Marks Clubroot Resistance in Brassica napus cv. Tosca. Frontiers in Plant Science. 12. 639631–639631. 16 indexed citations
13.
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
14.
Gabur, Iulian, et al.. (2020). Gene presence-absence variation associates with quantitative Verticillium longisporum disease resistance in Brassica napus. Scientific Reports. 10(1). 4131–4131. 48 indexed citations
15.
Voss‐Fels, Kai P., Lunwen Qian, Iulian Gabur, et al.. (2018). Genetic insights into underground responses to Fusarium graminearum infection in wheat. Scientific Reports. 8(1). 13153–13153. 19 indexed citations
16.
Obermeier, Christian, et al.. (2014). Multiplexed Digital Gene Expression Analysis for Genetical Genomics in Large Plant Populations. Methods in molecular biology. 1245. 119–140. 1 indexed citations
17.
18.
Obermeier, Christian, et al.. (2009). Gene expression profiling via LongSAGE in a non-model plant species: a case study in seeds of Brassica napus. BMC Genomics. 10(1). 295–295. 14 indexed citations
19.
Candresse, Thierry, et al.. (2006). Host Species-Dependent Population Structure of a Pollen-Borne Plant Virus, Cherry Leaf Roll Virus. Journal of Virology. 80(5). 2453–2462. 45 indexed citations
20.
Bandte, Martina, et al.. (2004). Virus-diseased Ulmus laevis in Eastern Germany. Forest Systems. 13(1). 65–69. 1 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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