Tone Birkemoe

2.1k total citations
82 papers, 1.3k citations indexed

About

Tone Birkemoe is a scholar working on Insect Science, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Tone Birkemoe has authored 82 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Insect Science, 35 papers in Ecology and 29 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Tone Birkemoe's work include Forest Ecology and Biodiversity Studies (41 papers), Forest Insect Ecology and Management (23 papers) and Mycorrhizal Fungi and Plant Interactions (19 papers). Tone Birkemoe is often cited by papers focused on Forest Ecology and Biodiversity Studies (41 papers), Forest Insect Ecology and Management (23 papers) and Mycorrhizal Fungi and Plant Interactions (19 papers). Tone Birkemoe collaborates with scholars based in Norway, Sweden and Finland. Tone Birkemoe's co-authors include Anne Sverdrup‐Thygeson, Hans Petter Leinaas, Anders Aak, Arnulf Soleng, Bjørn Arne Rukke, Lauritz Sømme, Håvard Kauserud, Preben Ottesen, Olav Skarpaas and Kari Klanderud and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Tone Birkemoe

79 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tone Birkemoe Norway 24 692 494 485 376 222 82 1.3k
C. R. Shortall United Kingdom 19 507 0.7× 290 0.6× 902 1.9× 270 0.7× 347 1.6× 38 1.3k
Dean A. Williams United States 22 449 0.6× 617 1.2× 660 1.4× 351 0.9× 274 1.2× 83 1.5k
Swen C. Renner Austria 18 230 0.3× 626 1.3× 485 1.0× 238 0.6× 506 2.3× 63 1.4k
Vincent D’Amico United States 16 360 0.5× 276 0.6× 212 0.4× 191 0.5× 162 0.7× 51 807
Maurício Osvaldo Moura Brazil 20 579 0.8× 268 0.5× 313 0.6× 132 0.4× 137 0.6× 71 1.0k
J. Gore United States 16 492 0.7× 219 0.4× 330 0.7× 234 0.6× 61 0.3× 63 890
Gösta Nachman Denmark 26 995 1.4× 508 1.0× 654 1.3× 534 1.4× 361 1.6× 80 1.8k
David Evans Walter Australia 23 1.3k 1.8× 351 0.7× 1.4k 2.9× 434 1.2× 180 0.8× 74 1.9k
Bertrand Gauffre France 19 230 0.3× 436 0.9× 383 0.8× 170 0.5× 247 1.1× 33 944
Alexandre Vasconcellos Brazil 23 303 0.4× 339 0.7× 683 1.4× 180 0.5× 242 1.1× 87 1.5k

Countries citing papers authored by Tone Birkemoe

Since Specialization
Citations

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

Fields of papers citing papers by Tone Birkemoe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tone Birkemoe

This figure shows the co-authorship network connecting the top 25 collaborators of Tone Birkemoe. A scholar is included among the top collaborators of Tone Birkemoe 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 Tone Birkemoe. Tone Birkemoe 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.
2.
Sverdrup‐Thygeson, Anne, et al.. (2025). Clear-cutting has a long-term impact on red-listed saproxylic beetles in boreal forests with deadwood diversity as the main driver. Forest Ecology and Management. 598. 123228–123228.
3.
Asplund, Johan, et al.. (2025). Functional diversity of dead wood promotes species-rich communities of fungi. Fungal ecology. 79. 101473–101473.
4.
Dossa, Gbadamassi G. O., Douglas Schaefer, Juan Zuo, et al.. (2024). The effects of invertebrates on wood decomposition across the world. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 100(1). 158–171. 3 indexed citations
5.
Asplund, Johan, Jenni Nordén, O. Janne Kjønaas, et al.. (2024). Long term effects of forest management on forest structure and dead wood in mature boreal forests. Forest Ecology and Management. 572. 122315–122315. 9 indexed citations
6.
Nybakken, Line, et al.. (2023). Condensed tannins mediate the effect of long-term nitrogen addition on soil nematodes in a boreal spruce forest. Forest Ecology and Management. 545. 121248–121248. 1 indexed citations
7.
Birkemoe, Tone, et al.. (2023). Saproxylic beetles' morphological traits and higher trophic guilds indicate boreal forest naturalness. Ecology and Evolution. 13(12). e10739–e10739. 4 indexed citations
8.
Kauserud, Håvard, et al.. (2022). Legacies of invertebrate exclusion and tree secondary metabolites control fungal communities in dead wood. Molecular Ecology. 31(11). 3241–3253. 7 indexed citations
9.
Drag, Lukáš, Ryan C. Burner, Jörg G. Stephan, et al.. (2022). High‐resolution 3D forest structure explains ecomorphological trait variation in assemblages of saproxylic beetles. Functional Ecology. 37(1). 150–161. 14 indexed citations
10.
Birkemoe, Tone, et al.. (2022). It takes a community to maintain a tree hollow: Food web complexity enhances decomposition and wood mould production. Functional Ecology. 36(9). 2215–2226. 4 indexed citations
11.
Burner, Ryan C., Jörg G. Stephan, Lukáš Drag, et al.. (2021). Traits mediate niches and co‐occurrences of forest beetles in ways that differ among bioclimatic regions. Journal of Biogeography. 48(12). 3145–3157. 23 indexed citations
12.
Roos, Ruben E., Tone Birkemoe, Johan Asplund, et al.. (2020). Legacy effects of experimental environmental change on soil micro‐arthropod communities. Ecosphere. 11(2). 9 indexed citations
13.
Birkemoe, Tone, et al.. (2015). Head lice predictors and infestation dynamics among primary school children in Norway. Family Practice. 33(1). 23–29. 33 indexed citations
14.
Sverdrup‐Thygeson, Anne, et al.. (2014). Biller i hule eiker i Vestfold, Telemark og Agder. Duo Research Archive (University of Oslo). 1 indexed citations
15.
Rukke, Bjørn Arne, et al.. (2014). Socioeconomic status, family background and other key factors influence the management of head lice in Norway. Parasitology Research. 113(5). 1847–1861. 27 indexed citations
16.
Aak, Anders, Tone Birkemoe, & Geir Knudsen. (2011). Efficient Mass Trapping: Catching the Pest, Calliphora vicina, (Diptera, Calliphoridae), of Norwegian Stockfish Production. Journal of Chemical Ecology. 37(9). 924–931. 22 indexed citations
17.
Ottesen, Preben, Tone Birkemoe, & Anders Aak. (2009). Tracing carpenter ants (Camponotussp.) in buildings with radioactive iodine131I. International Journal of Pest Management. 55(1). 45–49. 1 indexed citations
18.
Roura‐Pascual, Núria, et al.. (2005). Argentine ants Linepithema humile (Mayr, 1868b) infesting Norwegian flats.. 52(1). 63–64. 1 indexed citations
19.
Birkemoe, Tone & Hans Petter Leinaas. (2000). Effects of temperature on the development of an arctic Collembola (Hypogastrura tullbergi). Functional Ecology. 14(6). 693–700. 41 indexed citations
20.
Birkemoe, Tone, et al.. (1994). New records of Enchytraeidae (Oligochaeta) from Spitsbergen, Svalbard. Fauna norvegica. 15. 35–44. 8 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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