Jon Ågren

12.2k total citations
152 papers, 8.7k citations indexed

About

Jon Ågren is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Nature and Landscape Conservation. According to data from OpenAlex, Jon Ågren has authored 152 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Ecology, Evolution, Behavior and Systematics, 93 papers in Plant Science and 80 papers in Nature and Landscape Conservation. Recurrent topics in Jon Ågren's work include Plant and animal studies (113 papers), Ecology and Vegetation Dynamics Studies (80 papers) and Plant Parasitism and Resistance (55 papers). Jon Ågren is often cited by papers focused on Plant and animal studies (113 papers), Ecology and Vegetation Dynamics Studies (80 papers) and Plant Parasitism and Resistance (55 papers). Jon Ågren collaborates with scholars based in Sweden, United States and Norway. Jon Ågren's co-authors include Douglas W. Schemske, Nina Sletvold, Johan Ehrlén, Carsten Külheim, Stefan Jansson, Karin Olsson, Mary F. Willson, Steven D. Johnson, Craig I. Peter and Christopher G. Oakley and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Jon Ågren

151 papers receiving 8.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon Ågren Sweden 54 6.0k 5.3k 3.9k 2.2k 1.5k 152 8.7k
Susan Kalisz United States 47 5.8k 1.0× 4.0k 0.7× 3.9k 1.0× 1.9k 0.9× 2.2k 1.5× 99 8.7k
Diane R. Campbell United States 46 7.9k 1.3× 5.5k 1.0× 4.9k 1.2× 1.6k 0.7× 1.6k 1.1× 129 8.8k
W. Scott Armbruster United States 53 8.7k 1.5× 5.7k 1.1× 4.3k 1.1× 2.3k 1.1× 1.6k 1.1× 171 10.3k
Christopher G. Eckert Canada 43 5.2k 0.9× 3.2k 0.6× 3.2k 0.8× 1.7k 0.8× 1.9k 1.3× 88 6.7k
Maureen L. Stanton United States 52 6.1k 1.0× 4.0k 0.7× 3.9k 1.0× 1.3k 0.6× 1.6k 1.1× 116 8.0k
Brian C. Husband Canada 50 6.0k 1.0× 5.8k 1.1× 2.5k 0.6× 3.4k 1.6× 3.0k 2.0× 121 10.2k
Tia‐Lynn Ashman United States 55 8.8k 1.5× 7.8k 1.5× 4.7k 1.2× 3.1k 1.4× 2.4k 1.6× 210 11.9k
Daniel J. Schoen Canada 46 5.5k 0.9× 4.1k 0.8× 2.8k 0.7× 2.6k 1.2× 2.9k 2.0× 126 8.4k
George D. Weiblen United States 43 4.1k 0.7× 2.4k 0.4× 2.5k 0.6× 1.1k 0.5× 1.1k 0.7× 98 6.3k
Lynda F. Delph United States 52 5.3k 0.9× 3.2k 0.6× 3.0k 0.8× 2.3k 1.1× 2.0k 1.4× 133 7.1k

Countries citing papers authored by Jon Ågren

Since Specialization
Citations

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

Fields of papers citing papers by Jon Ågren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Ågren

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Ågren. A scholar is included among the top collaborators of Jon Ågren 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 Jon Ågren. Jon Ågren 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.
López, Lúa, Patricia L. M. Lang, Logan Kistler, et al.. (2025). Museum Genomics Reveals Temporal Genetic Stasis and Global Genetic Diversity in Arabidopsis thaliana. Molecular Ecology. 34(20). e70081–e70081. 1 indexed citations
2.
3.
Li, X. Allen, et al.. (2025). Scavenging contributes to larval food intake in fungus gnats using the Arisaema kettle trap as a brood site. Ecology. 106(5). e70118–e70118. 1 indexed citations
4.
Sanderson, Brian J., Thomas James Ellis, Brian P. Dilkes, et al.. (2024). A large-effect fitness trade-off across environments is explained by a single mutation affecting cold acclimation. Proceedings of the National Academy of Sciences. 121(6). e2317461121–e2317461121. 12 indexed citations
5.
Oakley, Christopher G., Douglas W. Schemske, John McKay, & Jon Ågren. (2023). Ecological genetics of local adaptation in Arabidopsis: An 8‐year field experiment. Molecular Ecology. 32(16). 4570–4583. 9 indexed citations
6.
7.
Wunder, Jörg, Andrea Fulgione, Per Toräng, et al.. (2023). Adaptation of perennial flowering phenology across the European range of Arabis alpina. Proceedings of the Royal Society B Biological Sciences. 290(2011). 20231401–20231401. 3 indexed citations
8.
Durán, Paloma, Thomas James Ellis, Thorsten Thiergart, Jon Ågren, & Stéphane Hacquard. (2022). Climate drives rhizosphere microbiome variation and divergent selection between geographically distant Arabidopsis populations. New Phytologist. 236(2). 608–621. 18 indexed citations
9.
Opedal, Øystein H., W. Scott Armbruster, Thomas F. Hansen, et al.. (2022). Evolvability and trait function predict phenotypic divergence of plant populations. Proceedings of the National Academy of Sciences. 120(1). e2203228120–e2203228120. 31 indexed citations
10.
Laenen, Benjamin, Andrew Tedder, Michael Nowak, et al.. (2018). Demography and mating system shape the genome-wide impact of purifying selection in Arabis alpina. Proceedings of the National Academy of Sciences. 115(4). 816–821. 54 indexed citations
11.
Ågren, Jon, et al.. (2015). Maternal environment affects the genetic basis of seed dormancy in Arabidopsis thaliana. Molecular Ecology. 24(4). 785–797. 56 indexed citations
12.
Ågren, Jon, Christopher G. Oakley, John McKay, John T. Lovell, & Douglas W. Schemske. (2013). Genetic mapping of adaptation reveals fitness tradeoffs in Arabidopsis thaliana. Proceedings of the National Academy of Sciences. 110(52). 21077–21082. 132 indexed citations
13.
Puentes, Adriana & Jon Ågren. (2013). No trade-off between trichome production and tolerance to leaf and inflorescence damage in a natural population of Arabidopsis lyrata. Journal of Plant Ecology. 7(4). 373–383. 11 indexed citations
14.
Ågren, Jon & Douglas W. Schemske. (2012). Reciprocal transplants demonstrate strong adaptive differentiation of the model organism Arabidopsis thaliana in its native range. New Phytologist. 194(4). 1112–1122. 246 indexed citations
15.
Akiyama, Reiko & Jon Ågren. (2012). Magnitude and Timing of Leaf Damage Affect Seed Production in a Natural Population of Arabidopsis thaliana (Brassicaceae). PLoS ONE. 7(1). e30015–e30015. 27 indexed citations
16.
Külheim, Carsten, Jon Ågren, & Stefan Jansson. (2002). Rapid Regulation of Light Harvesting and Plant Fitness in the Field. Science. 297(5578). 91–93. 460 indexed citations
17.
Alexandersson, Ronny & Jon Ågren. (2000). Genetic structure in the nonrewarding, bumblebee-pollinated orchid Calypso bulbosa. Heredity. 85(4). 401–409. 29 indexed citations
18.
Ågren, Jon. (1996). Population Size, Pollinator Limitation, and Seed Set in the Self‐ Incompatible Herb Lythrum Salicaria. Ecology. 77(6). 1779–1790. 432 indexed citations
19.
Ågren, Jon & Mary F. Willson. (1992). Determinants of seed production in Geranium maculatum. Oecologia. 92(2). 177–182. 39 indexed citations
20.
Ågren, Jon. (1983). Dendroekologisk undersökning av Domarvägen mellan Arjeplog och Jokkmokk. Fornvännen. 78. 269–279. 6 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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