Åke Olson

4.5k total citations
65 papers, 1.8k citations indexed

About

Åke Olson is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Åke Olson has authored 65 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Plant Science, 30 papers in Cell Biology and 23 papers in Molecular Biology. Recurrent topics in Åke Olson's work include Mycorrhizal Fungi and Plant Interactions (44 papers), Plant Pathogens and Fungal Diseases (30 papers) and Fungal Biology and Applications (19 papers). Åke Olson is often cited by papers focused on Mycorrhizal Fungi and Plant Interactions (44 papers), Plant Pathogens and Fungal Diseases (30 papers) and Fungal Biology and Applications (19 papers). Åke Olson collaborates with scholars based in Sweden, Finland and United States. Åke Olson's co-authors include Jan Stenlid, Björn D. Lindahl, Karina E. Clemmensen, Magnus Karlsson, Wietse de Boer, Francis Martin, Kerstin Dalman, Mårten Lind, Malin Elfstrand and Andy F. S. Taylor and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Åke Olson

64 papers receiving 1.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Åke Olson 1.4k 565 524 419 397 65 1.8k
Jonathan M. Plett 2.1k 1.4× 348 0.6× 394 0.8× 486 1.2× 323 0.8× 72 2.5k
Audrius Menkis 1.4k 1.0× 873 1.5× 631 1.2× 459 1.1× 355 0.9× 94 2.1k
Andrii P. Gryganskyi 1.2k 0.8× 501 0.9× 399 0.8× 300 0.7× 367 0.9× 26 1.6k
Natalia Requena 2.7k 1.8× 326 0.6× 233 0.4× 509 1.2× 588 1.5× 47 3.0k
Teresa E. Pawlowska 1.3k 0.9× 390 0.7× 373 0.7× 301 0.7× 350 0.9× 42 1.6k
Martin Unterseher 1.5k 1.0× 1.0k 1.8× 325 0.6× 487 1.2× 208 0.5× 43 2.1k
Stefano Ghignone 1.3k 0.9× 508 0.9× 255 0.5× 369 0.9× 297 0.7× 58 1.7k
Ying Chang 1.4k 1.0× 440 0.8× 210 0.4× 582 1.4× 288 0.7× 27 1.8k
Dag Ahrén 861 0.6× 214 0.4× 362 0.7× 368 0.9× 139 0.4× 48 1.4k
L. Simon 1.6k 1.1× 672 1.2× 412 0.8× 422 1.0× 448 1.1× 18 1.9k

Countries citing papers authored by Åke Olson

Since Specialization
Citations

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

Fields of papers citing papers by Åke Olson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Åke Olson

This figure shows the co-authorship network connecting the top 25 collaborators of Åke Olson. A scholar is included among the top collaborators of Åke Olson 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 Åke Olson. Åke Olson 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.
Menkis, Audrius, et al.. (2025). Temporal dynamics of airborne fungi in Swedish forest nurseries. Applied and Environmental Microbiology. 91(2). e0130624–e0130624.
2.
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
3.
Vilanova, Laura, et al.. (2024). New simple sequence repeat markers reveal undetected diversity in Spanish and Californian Diplodia sapinea populations. Fungal Genetics and Biology. 175. 103937–103937. 1 indexed citations
4.
5.
Stridh, Linnea, et al.. (2022). Evidence based disease control methods in potato production: a systematic map protocol. Environmental Evidence. 11(1). 6–6. 28 indexed citations
6.
Wallenhammar, Ann-Charlotte, et al.. (2022). Scientific evidence of sustainable plant disease protection strategies for oilseed rape (Brassica napus) in Sweden: a systematic map. Environmental Evidence. 11(1). 22–22. 6 indexed citations
7.
Hu, Yang, Malin Elfstrand, Jan Stenlid, Mikael Brandström Durling, & Åke Olson. (2020). The conifer root rot pathogens Heterobasidion irregulare and Heterobasidion occidentale employ different strategies to infect Norway spruce. Scientific Reports. 10(1). 5884–5884. 7 indexed citations
8.
Castaño, Carles, Anna Berlin, Mikael Brandström Durling, et al.. (2020). Optimized metabarcoding with Pacific biosciences enables semi‐quantitative analysis of fungal communities. New Phytologist. 228(3). 1149–1158. 63 indexed citations
9.
Elfstrand, Malin, Linghua Zhou, John Baison, et al.. (2019). Genotypic variation in Norway spruce correlates to fungal communities in vegetative buds. Molecular Ecology. 29(1). 199–213. 10 indexed citations
10.
11.
Nemesio‐Gorriz, Miguel, Almuth Hammerbacher, Katarina Ihrmark, et al.. (2016). Different alleles of a gene encoding leucoanthocyanidin reductase (PaLAR3) influence resistance against the fungus Heterobasidion parviporum in Picea abies. PLANT PHYSIOLOGY. 171(4). pp.00685.2016–pp.00685.2016. 34 indexed citations
12.
Hansson, David, Sileshi Gizachew Wubshet, Åke Olson, et al.. (2014). Secondary metabolite comparison of the species within the Heterobasidion annosum s.l. complex. Phytochemistry. 108. 243–251. 18 indexed citations
13.
Nest, Magriet A. van der, Åke Olson, Magnus Karlsson, et al.. (2014). Gene expression associated with intersterility in Heterobasidion. Fungal Genetics and Biology. 73. 104–119. 5 indexed citations
14.
Dalman, Kerstin, Åke Olson, & Jan Stenlid. (2010). Evolutionary history of the conifer root rot fungus Heterobasidion annosum sensu lato. Molecular Ecology. 19(22). 4979–4993. 63 indexed citations
15.
Karlsson, Magnus, Malin Elfstrand, Jan Stenlid, & Åke Olson. (2008). A fungal cytochrome P450 is expressed during the interaction between the fungal pathogen Heterobasidion annosum sensu lato and conifer trees. DNA sequence. 19(2). 115–120. 13 indexed citations
16.
Lind, Mårten, Kerstin Dalman, Jan Stenlid, Bo Karlsson, & Åke Olson. (2007). Identification of quantitative trait loci affecting virulence in the basidiomycete Heterobasidion annosum s.l.. Current Genetics. 52(1). 35–44. 26 indexed citations
17.
Adomas, Aleksandra, Gregory Heller, Guosheng Li, et al.. (2007). Transcript profiling of a conifer pathosystem: response of Pinus sylvestris root tissues to pathogen (Heterobasidion annosum) invasion. Tree Physiology. 27(10). 1441–1458. 57 indexed citations
18.
Olson, Åke. (2006). Genetic linkage between growth rate and the intersterility genes S and P in the basidiomycete Heterobasidion annosum s.lat.. Mycological Research. 110(8). 979–984. 14 indexed citations
19.
Elfstrand, Malin, et al.. (2005). Development of a rapid and simpleAgrobacterium tumefaciens-mediated transformation system for the fungal pathogenHeterobasidion annosum. FEMS Microbiology Letters. 255(1). 82–88. 14 indexed citations
20.
Olson, Åke, et al.. (2004). Differential gene expression during interactions betweenHeterobasidion annosumandPhysisporinus sanguinolentus. FEMS Microbiology Letters. 241(1). 79–85. 33 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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