Mikael Åkesson

3.9k total citations · 1 hit paper
67 papers, 2.6k citations indexed

About

Mikael Åkesson is a scholar working on Ecology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Mikael Åkesson has authored 67 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Ecology, 24 papers in Genetics and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Mikael Åkesson's work include Wildlife Ecology and Conservation (33 papers), Genetic diversity and population structure (18 papers) and Genetic and phenotypic traits in livestock (17 papers). Mikael Åkesson is often cited by papers focused on Wildlife Ecology and Conservation (33 papers), Genetic diversity and population structure (18 papers) and Genetic and phenotypic traits in livestock (17 papers). Mikael Åkesson collaborates with scholars based in Sweden, Norway and United Kingdom. Mikael Åkesson's co-authors include Staffan Bensch, Bengt Hansson, Dennis Hasselquist, Petter Wabakken, Håkan Sand, Olof Liberg, Øystein Flagstad, Henrik Andrén, Maja Tarka and Camilla Wikenros and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Mikael Åkesson

63 papers receiving 2.5k citations

Hit Papers

Ten years of AFLP in ecology and evolution: why so few an... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikael Åkesson Sweden 26 1.5k 1.4k 670 358 273 67 2.6k
Peter B. S. Spencer Australia 24 1.2k 0.9× 1.2k 0.8× 368 0.5× 395 1.1× 290 1.1× 103 2.2k
Elisabeth Haring Austria 28 1.1k 0.7× 1.1k 0.7× 871 1.3× 574 1.6× 186 0.7× 110 2.4k
Raquel Godinho Portugal 29 1.4k 1.0× 1.4k 1.0× 337 0.5× 316 0.9× 199 0.7× 115 2.4k
Aaron B. A. Shafer Canada 22 969 0.7× 1.3k 0.9× 501 0.7× 550 1.5× 290 1.1× 80 2.2k
Lori S. Eggert United States 27 1.4k 0.9× 1.1k 0.7× 300 0.4× 287 0.8× 215 0.8× 87 2.0k
Andrea C. Taylor Australia 35 2.6k 1.8× 2.0k 1.4× 732 1.1× 567 1.6× 550 2.0× 96 4.0k
Jan Zima Czechia 25 1.3k 0.9× 1.4k 1.0× 713 1.1× 307 0.9× 119 0.4× 91 2.4k
Jouni Aspi Finland 28 1.1k 0.8× 1.4k 1.0× 915 1.4× 251 0.7× 359 1.3× 107 2.5k
Derek J. Girman United States 22 1.3k 0.9× 1.5k 1.1× 620 0.9× 343 1.0× 446 1.6× 31 2.4k
Stuart J. E. Baird Czechia 30 716 0.5× 1.5k 1.0× 721 1.1× 404 1.1× 281 1.0× 66 2.5k

Countries citing papers authored by Mikael Åkesson

Since Specialization
Citations

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

Fields of papers citing papers by Mikael Åkesson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikael Åkesson

This figure shows the co-authorship network connecting the top 25 collaborators of Mikael Åkesson. A scholar is included among the top collaborators of Mikael Åkesson 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 Mikael Åkesson. Mikael Åkesson 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.
Milleret, Cyril, Pierre Dupont, Henrik Brøseth, et al.. (2025). Map of death: spatially explicit mortality of the grey wolf. Proceedings of the Royal Society B Biological Sciences. 292(2053). 20250948–20250948.
2.
Wikenros, Camilla, Barbara Zimmermann, Mikael Åkesson, et al.. (2023). Scavenging patterns of an inbred wolf population in a landscape with a pulse of human‐provided carrion. Ecology and Evolution. 13(7). e10236–e10236. 7 indexed citations
3.
4.
Flagstad, Øystein, Mikael Åkesson, Camilla Wikenros, et al.. (2022). Whole-genome resequencing of temporally stratified samples reveals substantial loss of haplotype diversity in the highly inbred Scandinavian wolf population. Genome Research. 32(3). 449–458. 7 indexed citations
5.
Paquet, Matthieu, Jonas Knape, Debora Arlt, et al.. (2021). Integrated population models poorly estimate the demographic contribution of immigration. Methods in Ecology and Evolution. 12(10). 1899–1910. 21 indexed citations
6.
Wikenros, Camilla, et al.. (2021). Multiple species‐specific molecular markers using nanofluidic array as a tool to detect prey DNA from carnivore scats. Ecology and Evolution. 11(17). 11739–11748. 9 indexed citations
7.
Svensson, Linn, et al.. (2021). Inventering av varg vintern 2020-2021. Bestandsovervåking av ulv vinteren 2020-2021. 1 indexed citations
8.
Åkesson, Mikael, et al.. (2021). Characteristics of reproductive organs and estimates of reproductive potential in Scandinavian male grey wolves (Canis lupus). Animal Reproduction Science. 226. 106693–106693. 3 indexed citations
9.
Bischof, Richard, Cyril Milleret, Pierre Dupont, et al.. (2020). Estimating and forecasting spatial population dynamics of apex predators using transnational genetic monitoring. Proceedings of the National Academy of Sciences. 117(48). 30531–30538. 81 indexed citations
10.
Aronsson, Malin, Ulrika A. Bergvall, Josep L. Carrasco, et al.. (2020). Validating a common tick survey method: cloth-dragging and line transects. Experimental and Applied Acarology. 83(1). 131–146. 13 indexed citations
11.
Ordiz, Andrés, Håkan Sand, Jon E. Swenson, et al.. (2018). No place like home? A test of the natal habitat-biased dispersal hypothesis in Scandinavian wolves. Royal Society Open Science. 5(12). 181379–181379. 26 indexed citations
12.
Kardos, Marty, Mikael Åkesson, Toby Fountain, et al.. (2017). Genomic consequences of intensive inbreeding in an isolated wolf population. Nature Ecology & Evolution. 2(1). 124–131. 135 indexed citations
13.
Wabakken, Petter, et al.. (2016). Bestandsovervåking av ulv vinteren 2015-2016. BIBSYS Brage (BIBSYS (Norway)). 6 indexed citations
14.
Nichols, Ruth V., Mikael Åkesson, & Petter Kjellander. (2016). Diet Assessment Based on Rumen Contents: A Comparison between DNA Metabarcoding and Macroscopy. PLoS ONE. 11(6). e0157977–e0157977. 45 indexed citations
15.
Svensson, Linn, et al.. (2015). Inventering av varg vintern 2014-2015. Duo Research Archive (University of Oslo). 1 indexed citations
16.
Hansson, Bengt, et al.. (2014). Individual Identification and Genetic Variation of Lions (Panthera leo) from Two Protected Areas in Nigeria. PLoS ONE. 9(1). e84288–e84288. 14 indexed citations
17.
Liberg, Olof, et al.. (2011). Monitoring of wolves in Scandinavia. Bollettino del CILEA (CILEA). 66 indexed citations
18.
Tarka, Maja, et al.. (2010). A strong quantitative trait locus for wing length on chromosome 2 in a wild population of great reed warblers. 1 indexed citations
19.
Bensch, Staffan & Mikael Åkesson. (2005). Ten years of AFLP in ecology and evolution: why so few animals?. Molecular Ecology. 14(10). 2899–2914. 504 indexed citations breakdown →
20.
Liberg, Olof, Henrik Andrén, Hans‐Christian Pedersen, et al.. (2005). Severe inbreeding depression in a wild wolf Canis lupus population. Biology Letters. 1(1). 17–20. 219 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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