Ingo Lenk

1.1k total citations
27 papers, 801 citations indexed

About

Ingo Lenk is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Ingo Lenk has authored 27 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 11 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Ingo Lenk's work include Wheat and Barley Genetics and Pathology (9 papers), Turfgrass Adaptation and Management (6 papers) and Plant tissue culture and regeneration (6 papers). Ingo Lenk is often cited by papers focused on Wheat and Barley Genetics and Pathology (9 papers), Turfgrass Adaptation and Management (6 papers) and Plant tissue culture and regeneration (6 papers). Ingo Lenk collaborates with scholars based in Denmark, United States and Germany. Ingo Lenk's co-authors include Christiane Gatz, Michael Herold, Christian S. Jensen, Morten Greve Pedersen, Torben Asp, Alexandra Thiele, Peter H. Quail, Just Jensen, Stephen Byrne and Luc Janss and has published in prestigious journals such as PLANT PHYSIOLOGY, The Plant Journal and International Journal of Molecular Sciences.

In The Last Decade

Ingo Lenk

27 papers receiving 784 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ingo Lenk Denmark 17 637 350 210 103 95 27 801
Diane Luth United States 12 766 1.2× 485 1.4× 129 0.6× 188 1.8× 95 1.0× 15 943
Claus H. Andersen Denmark 14 682 1.1× 409 1.2× 64 0.3× 26 0.3× 87 0.9× 15 767
N. Christov Bulgaria 14 528 0.8× 237 0.7× 107 0.5× 43 0.4× 62 0.7× 44 615
Qingzhen Jiang United States 15 711 1.1× 380 1.1× 92 0.4× 35 0.3× 129 1.4× 21 830
Yoshiya Shimamoto Japan 17 564 0.9× 209 0.6× 84 0.4× 21 0.2× 48 0.5× 37 687
Suying Han China 18 776 1.2× 760 2.2× 48 0.2× 19 0.2× 20 0.2× 42 995
M A Cornish United Kingdom 11 418 0.7× 284 0.8× 100 0.5× 21 0.2× 49 0.5× 23 510
T. J. McCoy United States 16 825 1.3× 579 1.7× 143 0.7× 43 0.4× 75 0.8× 28 959
Ruth Wingender Germany 14 550 0.9× 302 0.9× 106 0.5× 38 0.4× 47 0.5× 25 687
Natalya Klueva United States 8 609 1.0× 244 0.7× 87 0.4× 13 0.1× 74 0.8× 11 715

Countries citing papers authored by Ingo Lenk

Since Specialization
Citations

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

Fields of papers citing papers by Ingo Lenk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingo Lenk

This figure shows the co-authorship network connecting the top 25 collaborators of Ingo Lenk. A scholar is included among the top collaborators of Ingo Lenk 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 Ingo Lenk. Ingo Lenk 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.
Kristensen, Per Sand, et al.. (2025). The value of early root development traits in breeding programs for biomass yield in perennial ryegrass (Lolium perenne L.). Theoretical and Applied Genetics. 138(1). 31–31. 1 indexed citations
2.
Bornhofen, Elesandro, et al.. (2022). Leveraging spatiotemporal genomic breeding value estimates of dry matter yield and herbage quality in ryegrass via random regression models. The Plant Genome. 15(4). e20255–e20255. 3 indexed citations
3.
Lenk, Ingo, Martin Vickers, Thomas Didion, et al.. (2019). Transcriptional and Metabolomic Analyses Indicate that Cell Wall Properties are Associated with Drought Tolerance in Brachypodium distachyon. International Journal of Molecular Sciences. 20(7). 1758–1758. 25 indexed citations
4.
Guo, Xiangyu, Fabio Cericola, Morten Greve Pedersen, et al.. (2018). Genomic Prediction in Tetraploid Ryegrass Using Allele Frequencies Based on Genotyping by Sequencing. Frontiers in Plant Science. 9. 1165–1165. 29 indexed citations
5.
Cericola, Fabio, Ingo Lenk, Stephen Byrne, et al.. (2018). Optimized Use of Low-Depth Genotyping-by-Sequencing for Genomic Prediction Among Multi-Parental Family Pools and Single Plants in Perennial Ryegrass (Lolium perenne L.). Frontiers in Plant Science. 9. 369–369. 45 indexed citations
6.
McQueen‐Mason, Simon J., et al.. (2017). Evidence for Active Uptake and Deposition of Si-based Defenses in Tall Fescue. Frontiers in Plant Science. 8. 1199–1199. 55 indexed citations
7.
Ashraf, Bilal, Stephen Byrne, Adrian Czaban, et al.. (2015). Estimating genomic heritabilities at the level of family-pool samples of perennial ryegrass using genotyping-by-sequencing. Theoretical and Applied Genetics. 129(1). 45–52. 35 indexed citations
8.
Cericola, Fabio, Stephen Byrne, Ingo Lenk, et al.. (2015). Genomic dissection and prediction of heading date in perennial ryegrass. BMC Genomics. 16(1). 921–921. 67 indexed citations
9.
Ashraf, Bilal, Stephen Byrne, Adrian Czaban, et al.. (2014). Prospects for introducing genomic selection info forage grass breeding. 1 indexed citations
10.
Asp, Torben, Stephen Byrne, Heidrun Gundlach, et al.. (2011). Comparative sequence analysis of VRN1 alleles of Lolium perenne with the co-linear regions in barley, wheat, and rice. Molecular Genetics and Genomics. 286(5-6). 433–447. 23 indexed citations
11.
Yang, Zhimin, et al.. (2011). Comparison of three selectable marker genes for transformation of tall fescue (Festuca arundinacea Schreb.) plants by particle bombardment. In Vitro Cellular & Developmental Biology - Plant. 47(6). 658–666. 5 indexed citations
12.
Brazauskas, Gintaras, Ingo Lenk, Morten Greve Pedersen, Bruno Studer, & Thomas Lübberstedt. (2011). Genetic variation, population structure, and linkage disequilibrium in European elite germplasm of perennial ryegrass. Plant Science. 181(4). 412–420. 34 indexed citations
13.
Lenk, Ingo, Klaus Petersen, Christian S. Jensen, et al.. (2010). Nucleotide diversity and linkage disequilibrium of nine genes with putative effects on flowering time in perennial ryegrass (Lolium perenne L.). Plant Science. 180(2). 228–237. 29 indexed citations
14.
15.
Păcurar, Daniel I., et al.. (2007). A high-throughput Agrobacterium-mediated transformation system for the grass model species Brachypodium distachyon L.. Transgenic Research. 17(5). 965–975. 44 indexed citations
16.
Olsen, Philip, Ingo Lenk, Christian S. Jensen, et al.. (2006). Analysis of two heterologous flowering genes in Brachypodium distachyon demonstrates its potential as a grass model plant. Plant Science. 170(5). 1020–1025. 20 indexed citations
17.
Ciannamea, Stefano, Klaus Petersen, Ingo Lenk, et al.. (2006). A new member of the LIR gene family from perennial ryegrass is cold-responsive, and promotes vegetative growth in Arabidopsis. Plant Science. 172(2). 221–227. 7 indexed citations
18.
Kegler, Carsten, et al.. (2004). Functional characterization of tobacco transcription factor TGA2.1. Plant Molecular Biology. 55(2). 153–164. 8 indexed citations
19.
Lenk, Ingo, et al.. (1999). Transcriptional activator TGV mediates dexamethasone‐inducible and tetracycline‐inactivatable gene expression. The Plant Journal. 19(1). 87–95. 70 indexed citations
20.
Gatz, Christiane & Ingo Lenk. (1998). Promoters that respond to chemical inducers. Trends in Plant Science. 3(9). 352–358. 76 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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