Erland Liljeroth

2.9k total citations
66 papers, 2.1k citations indexed

About

Erland Liljeroth is a scholar working on Plant Science, Cell Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Erland Liljeroth has authored 66 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Plant Science, 19 papers in Cell Biology and 12 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Erland Liljeroth's work include Plant Pathogens and Resistance (29 papers), Plant-Microbe Interactions and Immunity (23 papers) and Plant Disease Resistance and Genetics (21 papers). Erland Liljeroth is often cited by papers focused on Plant Pathogens and Resistance (29 papers), Plant-Microbe Interactions and Immunity (23 papers) and Plant Disease Resistance and Genetics (21 papers). Erland Liljeroth collaborates with scholars based in Sweden, United Kingdom and Iran. Erland Liljeroth's co-authors include Johannes A. van Veen, Erik Andréasson, H. J. Miller, Erik Alexandersson, S.C. van de Geijn, Tomas Bryngelsson, P.J. Kuikman, Therése Bengtsson, Åsa Lankinen and Dharani Dhar Burra and has published in prestigious journals such as PLoS ONE, New Phytologist and International Journal of Molecular Sciences.

In The Last Decade

Erland Liljeroth

65 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erland Liljeroth Sweden 28 1.8k 480 408 276 255 66 2.1k
C. P. Chanway Canada 30 2.2k 1.2× 212 0.4× 319 0.8× 391 1.4× 326 1.3× 74 2.7k
Kurt Ineichen Switzerland 23 3.0k 1.7× 547 1.1× 609 1.5× 381 1.4× 294 1.2× 31 3.4k
Luke D. Bainard Canada 28 1.4k 0.8× 595 1.2× 231 0.6× 288 1.0× 370 1.5× 58 2.0k
Hannes Gamper Switzerland 21 1.5k 0.8× 462 1.0× 283 0.7× 206 0.7× 376 1.5× 41 1.9k
J. Dodd United Kingdom 32 2.5k 1.4× 264 0.6× 750 1.8× 277 1.0× 200 0.8× 107 2.9k
Walter F. Mahaffee United States 22 1.4k 0.8× 290 0.6× 600 1.5× 145 0.5× 168 0.7× 67 1.8k
David C. Hooker Canada 22 1.5k 0.8× 422 0.9× 430 1.1× 122 0.4× 100 0.4× 116 1.9k
Ming Pei You Australia 26 2.4k 1.4× 235 0.5× 669 1.6× 248 0.9× 90 0.4× 134 2.7k
François Le Tacon France 30 2.4k 1.3× 180 0.4× 766 1.9× 366 1.3× 250 1.0× 125 2.9k
Joseph Edwards United States 12 2.5k 1.4× 482 1.0× 334 0.8× 748 2.7× 878 3.4× 16 3.1k

Countries citing papers authored by Erland Liljeroth

Since Specialization
Citations

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

Fields of papers citing papers by Erland Liljeroth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erland Liljeroth

This figure shows the co-authorship network connecting the top 25 collaborators of Erland Liljeroth. A scholar is included among the top collaborators of Erland Liljeroth 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 Erland Liljeroth. Erland Liljeroth 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.
Lankinen, Åsa, Johanna Witzell, Kristin Aleklett, et al.. (2024). Challenges and opportunities for increasing the use of low-risk plant protection products in sustainable production. A review. Agronomy for Sustainable Development. 44(2). 14 indexed citations
2.
3.
Wolters, Pieter J., Vivianne G. A. A. Vleeshouwers, Åsa Lankinen, et al.. (2022). Whole‐genome sequencing elucidates the species‐wide diversity and evolution of fungicide resistance in the early blight pathogen Alternaria solani. Evolutionary Applications. 15(10). 1605–1620. 12 indexed citations
4.
Liang, Dong, et al.. (2021). Transcriptome Analysis of Potato Infected with the Necrotrophic Pathogen Alternaria solani. Plants. 10(10). 2212–2212. 12 indexed citations
5.
Odilbekov, Firuz, Dharani Dhar Burra, Marit Lenman, et al.. (2020). Intact salicylic acid signalling is required for potato defence against the necrotrophic fungus Alternaria solani. Plant Molecular Biology. 104(1-2). 1–19. 39 indexed citations
6.
Liljeroth, Erland, et al.. (2020). Plant resistance inducers (PRIs): perspectives for future disease management in the field.. CABI Reviews. 1–10. 26 indexed citations
7.
Odilbekov, Firuz, et al.. (2019). Within-season changes in Alternaria solani populations in potato in response to fungicide application strategies. European Journal of Plant Pathology. 155(3). 953–965. 26 indexed citations
8.
Rämert, Birgitta, et al.. (2017). Screening of alternative products for integrated pest management of cucurbit powdery mildew in Sweden. European Journal of Plant Pathology. 150(1). 127–138. 26 indexed citations
9.
Garkava‐Gustavsson, Larisa, et al.. (2016). Assessment of diversity and genetic relationships of Neonectria ditissima: the causal agent of fruit tree canker. Hereditas. 153(1). 7–7. 9 indexed citations
10.
Odilbekov, Firuz, et al.. (2016). Genetic diversity and occurrence of the F129L substitutions among isolates of Alternaria solani in south-eastern Sweden. Hereditas. 153(1). 10–10. 19 indexed citations
11.
Bengtsson, Therése, Estelle Proux‐Wéra, Fredrik Levander, et al.. (2014). Proteomics and transcriptomics of the BABA-induced resistance response in potato using a novel functional annotation approach. BMC Genomics. 15(1). 315–315. 60 indexed citations
12.
Ali, Ashfaq, Marit Lenman, Fredrik Levander, et al.. (2012). Paranoid potato. Plant Signaling & Behavior. 7(3). 400–408. 34 indexed citations
13.
Merker, Arnulf, et al.. (2007). Powdery mildew resistance in 155 Nordic bread wheat cultivars and landraces. Hereditas. 144(3). 102–119. 27 indexed citations
14.
Singh, Ravi P., et al.. (2006). Leaf rust (Puccinia triticina) resistance in wheat (Triticum aestivum) cultivars grown in Northern Europe 1992-2002. Hereditas. 143(2006). 1–14. 31 indexed citations
15.
16.
Liljeroth, Erland & Tomas Bryngelsson. (2002). Earlier onset of DNA fragmentation in leaves of wheat compared to barley and rye. Hereditas. 136(2). 108–115. 6 indexed citations
17.
Liljeroth, Erland & Tomas Bryngelsson. (2001). DNA fragmentation in cereal roots indicative of programmed root cortical cell death. Physiologia Plantarum. 111(3). 365–372. 39 indexed citations
18.
Liljeroth, Erland. (1995). Comparisons of early root cortical senescence between barley cultivars, Triticum species and other cereals. New Phytologist. 130(4). 495–501. 32 indexed citations
19.
Miller, H. J., et al.. (1990). The dynamics of actinomycetes and fluorescent pseudomonads in wheat rhizoplane and rhizosphere.. Symbiosis. 9. 389–391. 13 indexed citations
20.
Gustafsson, M., et al.. (1985). Pathogenic variation and sexual reproduction in Swedish populations of Bremia lactucae. Theoretical and Applied Genetics. 70(6). 643–649. 9 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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