Anni Tonteri

424 total citations
9 papers, 362 citations indexed

About

Anni Tonteri is a scholar working on Genetics, Nature and Landscape Conservation and Molecular Biology. According to data from OpenAlex, Anni Tonteri has authored 9 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 6 papers in Nature and Landscape Conservation and 2 papers in Molecular Biology. Recurrent topics in Anni Tonteri's work include Genetic diversity and population structure (7 papers), Fish Ecology and Management Studies (6 papers) and Genetic and phenotypic traits in livestock (6 papers). Anni Tonteri is often cited by papers focused on Genetic diversity and population structure (7 papers), Fish Ecology and Management Studies (6 papers) and Genetic and phenotypic traits in livestock (6 papers). Anni Tonteri collaborates with scholars based in Finland, Sweden and Russia. Anni Tonteri's co-authors include Craig R. Primmer, Jaakko Lumme, Anti Vasemägi, Charles B. Fenster, Outi Savolainen, Hans K. Stenøien, А. Е. Веселов, Sergey Titov, А. В. Зубченко and David Lesbarrères and has published in prestigious journals such as Molecular Ecology, Canadian Journal of Fisheries and Aquatic Sciences and Journal of Fish Biology.

In The Last Decade

Anni Tonteri

9 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anni Tonteri Finland 7 280 172 81 67 59 9 362
Gwilym D. Haynes Australia 10 166 0.6× 53 0.3× 118 1.5× 82 1.2× 46 0.8× 15 305
Jeff Rodzen United States 13 428 1.5× 272 1.6× 208 2.6× 97 1.4× 47 0.8× 19 571
Eveline Diopere Belgium 6 295 1.1× 88 0.5× 141 1.7× 172 2.6× 53 0.9× 6 450
Omar A. Ali United States 5 361 1.3× 210 1.2× 184 2.3× 150 2.2× 35 0.6× 7 517
Ryo Kakioka Japan 12 252 0.9× 147 0.9× 84 1.0× 123 1.8× 40 0.7× 29 374
Yukinori Shimada Japan 11 258 0.9× 166 1.0× 83 1.0× 84 1.3× 24 0.4× 19 410
Madeleine Carruthers United Kingdom 9 116 0.4× 96 0.6× 91 1.1× 76 1.1× 19 0.3× 13 262
А. Е. Барминцева Russia 9 211 0.8× 164 1.0× 68 0.8× 82 1.2× 20 0.3× 26 327
Sandra L. Hoffberg United States 6 158 0.6× 67 0.4× 74 0.9× 93 1.4× 33 0.6× 8 265
Daphne Gille United States 10 113 0.4× 115 0.7× 156 1.9× 58 0.9× 22 0.4× 17 323

Countries citing papers authored by Anni Tonteri

Since Specialization
Citations

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

Fields of papers citing papers by Anni Tonteri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anni Tonteri

This figure shows the co-authorship network connecting the top 25 collaborators of Anni Tonteri. A scholar is included among the top collaborators of Anni Tonteri 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 Anni Tonteri. Anni Tonteri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Tonteri, Anni, Anti Vasemägi, Jaakko Lumme, & Craig R. Primmer. (2010). Beyond MHC: signals of elevated selection pressure on Atlantic salmon (Salmo salar) immune‐relevant loci. Molecular Ecology. 19(7). 1273–1282. 42 indexed citations
2.
Tonteri, Anni, А. Е. Веселов, А. В. Зубченко, Jaakko Lumme, & Craig R. Primmer. (2009). Microsatellites reveal clear genetic boundaries among Atlantic salmon (Salmo salar) populations from the Barents and White seas, northwest Russia. Canadian Journal of Fisheries and Aquatic Sciences. 66(5). 717–735. 34 indexed citations
3.
Tonteri, Anni, Anti Vasemägi, Jaakko Lumme, & Craig R. Primmer. (2008). Use of differential expression data for identification of novel immune relevant expressed sequence tag‐linked microsatellite markers in Atlantic salmon (Salmo salar L.). Molecular Ecology Resources. 8(6). 1486–1490. 6 indexed citations
4.
Tonteri, Anni. (2008). Phylogeography and population genetics of north European Atlantic salmon (Salmo salar L.). Doria (University of Helsinki). 1 indexed citations
5.
Tonteri, Anni, et al.. (2008). Spatio-temporal genetic structuring of brown trout (Salmo trutta L.) populations within the River Luga, northwest Russia. Conservation Genetics. 10(2). 281–289. 23 indexed citations
6.
Tonteri, Anni, А. Е. Веселов, Sergey Titov, Jaakko Lumme, & Craig R. Primmer. (2007). The effect of migratory behaviour on genetic diversity and population divergence: a comparison of anadromous and freshwater Atlantic salmon Salmo salar. Journal of Fish Biology. 70(sc). 381–398. 39 indexed citations
8.
Tonteri, Anni, Sergey Titov, А. Е. Веселов, et al.. (2005). Phylogeography of anadromous and non-anadromous Atlantic salmon (Salmo salar) from northern Europe. Annales Zoologici Fennici. 42(1). 1–22. 66 indexed citations
9.
Stenøien, Hans K., Charles B. Fenster, Anni Tonteri, & Outi Savolainen. (2004). Genetic variability in natural populations of Arabidopsis thaliana in northern Europe. Molecular Ecology. 14(1). 137–148. 92 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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