Mari Suontama

601 total citations
22 papers, 426 citations indexed

About

Mari Suontama is a scholar working on Genetics, Plant Science and Nature and Landscape Conservation. According to data from OpenAlex, Mari Suontama has authored 22 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 10 papers in Plant Science and 9 papers in Nature and Landscape Conservation. Recurrent topics in Mari Suontama's work include Genetic and phenotypic traits in livestock (15 papers), Forest ecology and management (9 papers) and Genetics and Plant Breeding (6 papers). Mari Suontama is often cited by papers focused on Genetic and phenotypic traits in livestock (15 papers), Forest ecology and management (9 papers) and Genetics and Plant Breeding (6 papers). Mari Suontama collaborates with scholars based in New Zealand, Sweden and Australia. Mari Suontama's co-authors include Heidi S. Dungey, Yongjun Li, R. D. Burdon, Jaroslav Klápště, Natalie J. Graham, Emily Telfer, C. B. Low, M. Ojala, Russell McKinley and Jarmo Juga and has published in prestigious journals such as PLoS ONE, The Plant Journal and Frontiers in Plant Science.

In The Last Decade

Mari Suontama

22 papers receiving 416 citations

Peers

Mari Suontama

GENET

NLC

GPC

EQUIN

Peter Redbo‐Torstensson Sweden

Gancho T. Slavov United Kingdom

Eduardo P. Cappa Argentina

M. F. Miller United States

Blaine Johnson United States

Alexandre Alves Missiaggia Brazil

Gregory W. Dutkowski Australia

Antônio Marcos Rosado Brazil

Marcela Aparecida de Moraes Brazil

Henrik R. Hallingbäck Sweden

Peter Redbo‐Torstensson Sweden

Mari Suontama

47 ×0.2

GENET

144 ×0.7

NLC

152 ×0.8

9 ×0.2

GPC

96 ×2.2

EQUIN

Citations per year, relative to Mari Suontama Mari Suontama (= 1×) peers Peter Redbo‐Torstensson

Countries citing papers authored by Mari Suontama

Since Specialization

Citations

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

Fields of papers citing papers by Mari Suontama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mari Suontama

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

All Works

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20 of 20 papers shown

Valk, Tom van der, Zhiqiang Chen, Tomáš Funda, et al.. (2023). Whole‐genome resequencing facilitates the development of a 50K single nucleotide polymorphism genotyping array for Scots pine (Pinus sylvestris L.) and its transferability to other pine species. The Plant Journal. 117(3). 944–955. 1 indexed citations

Chen, Zhiqiang, et al.. (2021). Genomic Predictions With Nonadditive Effects Improved Estimates of Additive Effects and Predictions of Total Genetic Values in Pinus sylvestris. Frontiers in Plant Science. 12. 666820–666820. 11 indexed citations

Dungey, Heidi S., et al.. (2021). Spatial Models With Inter-Tree Competition From Airborne Laser Scanning Improve Estimates of Genetic Variance. Frontiers in Plant Science. 11. 596315–596315. 9 indexed citations

Suontama, Mari, et al.. (2020). Indication of Quantitative Multiple Disease Resistance to Foliar Pathogens in Pinus radiata D.Don in New Zealand. Frontiers in Plant Science. 11. 1044–1044. 6 indexed citations

Klápště, Jaroslav, Heidi S. Dungey, Emily Telfer, et al.. (2020). Marker Selection in Multivariate Genomic Prediction Improves Accuracy of Low Heritability Traits. Frontiers in Genetics. 11. 499094–499094. 25 indexed citations

Klápště, Jaroslav, et al.. (2019). Modelling of population structure through contemporary groups in genetic evaluation. BMC Genetics. 20(1). 81–81. 5 indexed citations

Bouffier, Laurent, Jaroslav Klápště, Mari Suontama, Heidi S. Dungey, & T. J. Mullin. (2019). Evaluation of forest tree breeding strategies based on partial pedigree reconstruction through simulations: Pinus pinaster and Eucalyptus nitens as case studies. Canadian Journal of Forest Research. 49(12). 1504–1515. 7 indexed citations

Suontama, Mari, Yongjun Li, C. B. Low, & Heidi S. Dungey. (2019). Genetic improvement of resistance to cyclaneusma needle cast in Pinus radiata. Canadian Journal of Forest Research. 49(2). 128–133. 8 indexed citations

Suontama, Mari, Jaroslav Klápště, Emily Telfer, et al.. (2018). Efficiency of genomic prediction across two Eucalyptus nitens seed orchards with different selection histories. Heredity. 122(3). 370–379. 35 indexed citations

10.

Klápště, Jaroslav, Mari Suontama, Heidi S. Dungey, et al.. (2018). Effect of Hidden Relatedness on Single-Step Genetic Evaluation in an Advanced Open-Pollinated Breeding Program. Journal of Heredity. 109(7). 802–810. 30 indexed citations

11.

Graham, Natalie J., Mari Suontama, Yongjun Li, et al.. (2018). Assessing the genetic variation of tolerance to red needle cast in a Pinus radiata breeding population. Tree Genetics & Genomes. 14(4). 13 indexed citations

12.

Li, Yongjun, Mari Suontama, R. D. Burdon, & Heidi S. Dungey. (2017). Genotype by environment interactions in forest tree breeding: review of methodology and perspectives on research and application. Tree Genetics & Genomes. 13(3). 163 indexed citations

13.

Klápště, Jaroslav, Mari Suontama, Emily Telfer, et al.. (2017). Exploration of genetic architecture through sib-ship reconstruction in advanced breeding population of Eucalyptus nitens. PLoS ONE. 12(9). e0185137–e0185137. 32 indexed citations

14.

Burdon, R. D., Yongjun Li, Mari Suontama, & Heidi S. Dungey. (2017). Genotype × site × silviculture interactions in radiata pine: knowledge, working hypotheses and pointers for research§. New Zealand journal of forestry science. 47(1). 18 indexed citations

15.

Suontama, Mari, et al.. (2015). Genetic parameters and genetic gains across three breeding cycles for growth and form traits of Eucalyptus regnans in New Zealand. Tree Genetics & Genomes. 11(6). 10 indexed citations

16.

Suontama, Mari, J. H. J. van der Werf, Jarmo Juga, & M. Ojala. (2012). Genetic correlations for foal and studbook traits with racing traits and implications for selection strategies in the Finnhorse and Standardbred trotter. Journal of Animal Breeding and Genetics. 130(3). 178–189. 11 indexed citations

17.

Suontama, Mari. (2012). Genetic analysis of foal and studbook traits in selection for racing performance in trotters. Työväentutkimus Vuosikirja. 1 indexed citations

18.

Suontama, Mari, J. H. J. van der Werf, Jarmo Juga, & M. Ojala. (2012). Genetic parameters for racing records in trotters using linear and generalized linear models1. Journal of Animal Science. 90(9). 2921–2930. 5 indexed citations

19.

Suontama, Mari, J. H. J. van der Werf, Jarmo Juga, & M. Ojala. (2011). The use of foal and studbook traits in the breeding programmes of Finnhorse and Standardbred trotters. Journal of Animal Breeding and Genetics. 128(2). 114–123. 9 indexed citations

20.

Suontama, Mari, et al.. (1999). HERITABILITY OF CONFORMATION TRAITS AND THEIR RELATIONSHIP TO RACING PERFOMANCE IN THE FINNHORSE TROTTER. 53(3). 211–215. 7 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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