Lidija Berke

1.7k total citations
20 papers, 917 citations indexed

About

Lidija Berke is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Lidija Berke has authored 20 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 13 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Lidija Berke's work include Plant Molecular Biology Research (11 papers), Plant Reproductive Biology (5 papers) and Genomics and Phylogenetic Studies (5 papers). Lidija Berke is often cited by papers focused on Plant Molecular Biology Research (11 papers), Plant Reproductive Biology (5 papers) and Genomics and Phylogenetic Studies (5 papers). Lidija Berke collaborates with scholars based in Netherlands, United States and Sweden. Lidija Berke's co-authors include ‎Berend Snel, Gabino Sanchez‐Perez, M. Eric Schranz, Richard W. Michelmore, Dean Lavelle, Alan C. Christensen, Alexander Kozik, Beth A. Rowan, Henriette Schluepmann and Ben Scheres and has published in prestigious journals such as Bioinformatics, The Plant Journal and Journal of Experimental Botany.

In The Last Decade

Lidija Berke

19 papers receiving 875 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lidija Berke Netherlands 13 637 557 87 65 63 20 917
Nader Aryamanesh Australia 14 641 1.0× 461 0.8× 42 0.5× 41 0.6× 96 1.5× 27 937
Ying‐Gao Liu China 15 831 1.3× 459 0.8× 34 0.4× 38 0.6× 89 1.4× 38 1.1k
Colin Eady New Zealand 20 760 1.2× 691 1.2× 111 1.3× 62 1.0× 47 0.7× 38 1000
Emeline Teyssier France 14 715 1.1× 713 1.3× 47 0.5× 57 0.9× 33 0.5× 19 1.0k
Fatemeh Maghuly Austria 16 401 0.6× 289 0.5× 33 0.4× 71 1.1× 40 0.6× 46 666
Sung Han Ok South Korea 20 1.0k 1.6× 872 1.6× 42 0.5× 67 1.0× 54 0.9× 33 1.3k
Gyeong Mee Yoon United States 17 1.4k 2.1× 725 1.3× 49 0.6× 31 0.5× 58 0.9× 36 1.5k
Vincent Sauveplane France 9 795 1.2× 815 1.5× 59 0.7× 115 1.8× 29 0.5× 16 1.1k
Silke Lehmann Switzerland 11 793 1.2× 315 0.6× 55 0.6× 15 0.2× 65 1.0× 18 916
Nardjis Amiour France 15 644 1.0× 329 0.6× 30 0.3× 63 1.0× 53 0.8× 17 804

Countries citing papers authored by Lidija Berke

Since Specialization
Citations

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

Fields of papers citing papers by Lidija Berke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lidija Berke

This figure shows the co-authorship network connecting the top 25 collaborators of Lidija Berke. A scholar is included among the top collaborators of Lidija Berke 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 Lidija Berke. Lidija Berke 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.
Ridder, Dick de, et al.. (2025). Exploring intra‐ and intergenomic variation in haplotype‐resolved pangenomes. Plant Biotechnology Journal. 23(3). 874–886.
2.
Berke, Lidija, Linda V. Bakker, Elio Schijlen, et al.. (2023). Genome assembly and analysis of Lactuca virosa: implications for lettuce breeding. G3 Genes Genomes Genetics. 13(11). 7 indexed citations
3.
Berke, Lidija, Richard W. Michelmore, Frank Becker, et al.. (2023). The genome of Lactuca saligna, a wild relative of lettuce, provides insight into non‐host resistance to the downy mildew Bremia lactucae. The Plant Journal. 115(1). 108–126. 7 indexed citations
4.
5.
Fokkens, Like, et al.. (2022). Fusarium oxysporum effector clustering version 2: An updated pipeline to infer host range. Frontiers in Plant Science. 13. 1012688–1012688. 10 indexed citations
6.
Brankovics, Balázs, Jorn R. de Haan, Lidija Berke, et al.. (2022). PanTools v3: functional annotation, classification and phylogenomics. Bioinformatics. 38(18). 4403–4405. 19 indexed citations
7.
Berke, Lidija, et al.. (2021). What can the phylogeny ofclass I KNOXgenes and their expression patterns in land plants tell us about the evolution of shoot development?. Botanical Journal of the Linnean Society. 195(3). 254–280. 9 indexed citations
8.
Brankovics, Balázs, J.M. van der Wolf, P.J.M. Bonants, et al.. (2021). The Pectobacterium pangenome, with a focus on Pectobacterium brasiliense, shows a robust core and extensive exchange of genes from a shared gene pool. BMC Genomics. 22(1). 265–265. 31 indexed citations
9.
Kozik, Alexander, Beth A. Rowan, Dean Lavelle, et al.. (2019). The alternative reality of plant mitochondrial DNA: One ring does not rule them all. PLoS Genetics. 15(8). e1008373–e1008373. 256 indexed citations
10.
11.
Tyutereva, Elena V., Alexandra N. Ivanova, Catarina Rydin, et al.. (2019). Evolution of the mechanisms of regulation of the apical meristem and laying of leaves in vascular plants. 160–160. 17 indexed citations
12.
Berke, Lidija, Estelle Proux‐Wéra, Alexandra N. Ivanova, et al.. (2017). The Huperzia selago Shoot Tip Transcriptome Sheds New Light on the Evolution of Leaves. Genome Biology and Evolution. 9(9). 2444–2460. 38 indexed citations
13.
Berke, Lidija & ‎Berend Snel. (2015). The plant Polycomb repressive complex 1 (PRC1) existed in the ancestor of seed plants and has a complex duplication history. BMC Evolutionary Biology. 15(1). 44–44. 28 indexed citations
14.
Berke, Lidija & ‎Berend Snel. (2014). The Histone Modification H3K27me3 Is Retained after Gene Duplication and Correlates with Conserved Noncoding Sequences in Arabidopsis. Genome Biology and Evolution. 6(3). 572–579. 9 indexed citations
15.
Zeilmaker, Tieme, Nora R. Ludwig, Joyce Elberse, et al.. (2014). DOWNY MILDEW RESISTANT 6 and DMR6‐LIKE OXYGENASE 1 are partially redundant but distinct suppressors of immunity in Arabidopsis. The Plant Journal. 81(2). 210–222. 159 indexed citations
16.
Zhang, Hongtao, Houjiang Zhou, Lidija Berke, et al.. (2013). Quantitative Phosphoproteomics after Auxin-stimulated Lateral Root Induction Identifies an SNX1 Protein Phosphorylation Site Required for Growth. Molecular & Cellular Proteomics. 12(5). 1158–1169. 80 indexed citations
17.
Berke, Lidija, Gabino Sanchez‐Perez, & ‎Berend Snel. (2012). Contribution of the epigenetic mark H3K27me3 to functional divergence after whole genome duplication in Arabidopsis. Genome Biology. 13(10). R94–R94. 19 indexed citations
18.
Schluepmann, Henriette, Lidija Berke, & Gabino Sanchez‐Perez. (2011). Metabolism control over growth: a case for trehalose-6-phosphate in plants. Journal of Experimental Botany. 63(9). 3379–3390. 91 indexed citations
19.
Hove, Colette A. ten, Zoltán Bochdanovits, Lidija Berke, et al.. (2011). Probing the roles of LRR RLK genes in Arabidopsis thaliana roots using a custom T-DNA insertion set. Plant Molecular Biology. 76(1-2). 69–83. 73 indexed citations
20.
Mithoe, Sharon C., Paul J. Boersema, Lidija Berke, et al.. (2011). Targeted Quantitative Phosphoproteomics Approach for the Detection of Phospho-tyrosine Signaling in Plants. Journal of Proteome Research. 11(1). 438–448. 40 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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