Tapio Mappes

6.1k total citations
138 papers, 4.5k citations indexed

About

Tapio Mappes is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Social Psychology. According to data from OpenAlex, Tapio Mappes has authored 138 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Ecology, 65 papers in Ecology, Evolution, Behavior and Systematics and 36 papers in Social Psychology. Recurrent topics in Tapio Mappes's work include Animal Ecology and Behavior Studies (61 papers), Animal Behavior and Reproduction (51 papers) and Neuroendocrine regulation and behavior (36 papers). Tapio Mappes is often cited by papers focused on Animal Ecology and Behavior Studies (61 papers), Animal Behavior and Reproduction (51 papers) and Neuroendocrine regulation and behavior (36 papers). Tapio Mappes collaborates with scholars based in Finland, United States and Portugal. Tapio Mappes's co-authors include Esa Koskela, Hannu Ylönen, Tuula A. Oksanen, Suzanne C. Mills, Zbyszek Boratyński, Mikael Puurtinen, Eva R. Kallio, Heikki Henttonen, Phillip C. Watts and Minna Koivula and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Tapio Mappes

135 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tapio Mappes Finland 43 2.2k 2.1k 819 773 619 138 4.5k
Esa Koskela Finland 39 1.7k 0.8× 1.6k 0.8× 623 0.8× 609 0.8× 428 0.7× 82 3.2k
Heribert Hofer Germany 51 3.6k 1.6× 1.7k 0.8× 1.2k 1.5× 2.0k 2.5× 481 0.8× 228 7.3k
Marion L. East Germany 39 2.1k 1.0× 1.3k 0.6× 754 0.9× 1.3k 1.7× 287 0.5× 105 4.2k
John L. Fitzpatrick United Kingdom 44 1.2k 0.5× 2.6k 1.3× 1.5k 1.8× 345 0.4× 635 1.0× 163 6.0k
Albrecht I. Schulte‐Hostedde Canada 32 1.8k 0.8× 1.6k 0.8× 828 1.0× 266 0.3× 607 1.0× 102 3.6k
Lynn B. Martin United States 51 3.1k 1.4× 3.7k 1.8× 1.2k 1.5× 732 0.9× 1.3k 2.1× 147 7.7k
Alexander Scheuerlein Germany 25 1.8k 0.8× 1.9k 0.9× 536 0.7× 253 0.3× 338 0.5× 40 3.6k
Daniel H. Nussey United Kingdom 41 3.7k 1.7× 3.8k 1.8× 1.9k 2.3× 619 0.8× 637 1.0× 97 7.8k
Patricia G. Parker United States 48 3.2k 1.5× 3.2k 1.5× 1.9k 2.3× 350 0.5× 407 0.7× 211 6.9k
Jill G. Pilkington United Kingdom 42 2.6k 1.2× 1.9k 0.9× 2.6k 3.2× 327 0.4× 408 0.7× 113 5.9k

Countries citing papers authored by Tapio Mappes

Since Specialization
Citations

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

Fields of papers citing papers by Tapio Mappes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tapio Mappes

This figure shows the co-authorship network connecting the top 25 collaborators of Tapio Mappes. A scholar is included among the top collaborators of Tapio Mappes 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 Tapio Mappes. Tapio Mappes 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.
McLean, Donald James, et al.. (2025). Complementary approaches to measure predation pressure on butterfly populations in Australia. Royal Society Open Science. 12(10). 251507–251507.
2.
3.
Mappes, Tapio, et al.. (2024). Effects of rodent abundance on ticks and Borrelia: results from an experimental and observational study in an island system. Parasites & Vectors. 17(1). 157–157. 2 indexed citations
4.
Lavrinienko, Anton, et al.. (2024). Effects of past and present habitat on the gut microbiota of a wild rodent. Proceedings of the Royal Society B Biological Sciences. 291(2016). 20232531–20232531. 2 indexed citations
5.
Hämäläinen, Anni, et al.. (2022). Artificial selection for predatory behaviour results in dietary niche differentiation in an omnivorous mammal. Proceedings of the Royal Society B Biological Sciences. 289(1970). 20212510–20212510. 6 indexed citations
6.
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Lavrinienko, Anton, et al.. (2022). Idiosyncratic effects of coinfection on the association between systemic pathogens and the gut microbiota of a wild rodent, the bank vole Myodes glareolus. Journal of Animal Ecology. 92(4). 826–837. 5 indexed citations
8.
Kesäniemi, Jenni, Anton Lavrinienko, Eugene Tukalenko, et al.. (2021). Expansion of rDNA and pericentromere satellite repeats in the genomes of bank voles Myodes glareolus exposed to environmental radionuclides. Ecology and Evolution. 11(13). 8754–8767. 11 indexed citations
9.
Lavrinienko, Anton, Eugene Tukalenko, Timothy A. Mousseau, et al.. (2020). Two hundred and fifty-four metagenome-assembled bacterial genomes from the bank vole gut microbiota. Scientific Data. 7(1). 312–312. 16 indexed citations
10.
Kesäniemi, Jenni, Anton Lavrinienko, Eugene Tukalenko, et al.. (2020). Exposure to environmental radionuclides alters mitochondrial DNA maintenance in a wild rodent. Evolutionary Ecology. 34(2). 163–174. 13 indexed citations
11.
Boratyński, Zbyszek, et al.. (2020). The effect of chronic low-dose environmental radiation on organ mass of bank voles in the Chernobyl exclusion zone. International Journal of Radiation Biology. 96(10). 1254–1262. 10 indexed citations
12.
Kesäniemi, Jenni, et al.. (2019). Exposure to environmental radionuclides is associated with altered metabolic and immunity pathways in a wild rodent. Molecular Ecology. 28(20). 4620–4635. 26 indexed citations
13.
Koskela, Esa, et al.. (2019). Early life of fathers affects offspring fitness in a wild rodent. Journal of Evolutionary Biology. 32(10). 1141–1151. 5 indexed citations
14.
Koskela, Esa, et al.. (2019). Intergenerational fitness effects of the early life environment in a wild rodent. Journal of Animal Ecology. 88(9). 1355–1365. 10 indexed citations
15.
16.
Watts, Phillip C., et al.. (2017). Stabilizing selection on microsatellite allele length at arginine vasopressin 1a receptor and oxytocin receptor loci. Proceedings of the Royal Society B Biological Sciences. 284(1869). 20171896–20171896. 13 indexed citations
17.
Kleiman, Norman J., Anton Lavrinienko, Zbyszek Boratyński, et al.. (2017). Radiation Cataract in Chernobyl Voles. Investigative Ophthalmology & Visual Science. 58(8). 2037–2037. 1 indexed citations
18.
Mökkönen, Mikael, Hanna Kokko, Esa Koskela, et al.. (2011). Negative Frequency-Dependent Selection of Sexually Antagonistic Alleles in Myodes glareolus. Science. 334(6058). 972–974. 62 indexed citations
19.
Ylönen, Hannu, Tapio Mappes, & Jussi Viitala. (1993). Female relatedness and microtine population dynamics: experience from cyclic populations. Annales Zoologici Fennici. 30(1). 77–80. 3 indexed citations
20.
Ylönen, Hannu, Jussi Viitala, & Tapio Mappes. (1991). How much do avian predators influence cyclic bank vole populations ? An experiment during a peak year. Annales Zoologici Fennici. 28(1). 1–6. 12 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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