Pekka Uimari

2.3k total citations
68 papers, 1.5k citations indexed

About

Pekka Uimari is a scholar working on Genetics, Animal Science and Zoology and Plant Science. According to data from OpenAlex, Pekka Uimari has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Genetics, 18 papers in Animal Science and Zoology and 17 papers in Plant Science. Recurrent topics in Pekka Uimari's work include Genetic and phenotypic traits in livestock (50 papers), Genetic Mapping and Diversity in Plants and Animals (34 papers) and Animal Nutrition and Physiology (13 papers). Pekka Uimari is often cited by papers focused on Genetic and phenotypic traits in livestock (50 papers), Genetic Mapping and Diversity in Plants and Animals (34 papers) and Animal Nutrition and Physiology (13 papers). Pekka Uimari collaborates with scholars based in Finland, United States and Russia. Pekka Uimari's co-authors include Ina Hoeschele, Anu Sironen, Miika Tapio, Georg Thaller, Mikko J. Sillanpää, Marja-Liisa Sevón-Aimonen, Johanna Vilkki, Qin Zhang, M. D. Bishop and Didier Boichard and has published in prestigious journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Gut.

In The Last Decade

Pekka Uimari

66 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pekka Uimari Finland 23 1.1k 489 209 193 140 68 1.5k
Amanda K. Lindholm‐Perry United States 19 688 0.6× 100 0.2× 270 1.3× 228 1.2× 224 1.6× 77 1.2k
Mathew D. Littlejohn New Zealand 22 1.1k 1.0× 114 0.2× 366 1.8× 225 1.2× 345 2.5× 58 1.6k
Eli Grindflek Norway 23 702 0.6× 139 0.3× 294 1.4× 365 1.9× 138 1.0× 79 1.3k
M. Szydłowski Poland 18 563 0.5× 137 0.3× 229 1.1× 269 1.4× 118 0.8× 72 923
Mônica Corrêa Ledur Brazil 24 1.0k 1.0× 206 0.4× 397 1.9× 896 4.6× 160 1.1× 118 1.7k
Minggang Lei China 21 499 0.5× 81 0.2× 851 4.1× 281 1.5× 444 3.2× 94 1.5k
Nick V. L. Serão United States 22 541 0.5× 125 0.3× 386 1.8× 585 3.0× 153 1.1× 96 1.5k
F. Ciotola Italy 16 379 0.3× 156 0.3× 180 0.9× 37 0.2× 70 0.5× 54 627
Satoshi Mikawa Japan 18 1.1k 1.0× 150 0.3× 822 3.9× 208 1.1× 195 1.4× 46 1.7k

Countries citing papers authored by Pekka Uimari

Since Specialization
Citations

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

Fields of papers citing papers by Pekka Uimari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pekka Uimari

This figure shows the co-authorship network connecting the top 25 collaborators of Pekka Uimari. A scholar is included among the top collaborators of Pekka Uimari 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 Pekka Uimari. Pekka Uimari 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.
Kugonza, Donald R., Nasser Ghanem, Mahlako L. Makgahlela, et al.. (2025). Genomic insights into the population structure and genetic diversity of Ugandan indigenous cattle. Animal Genetics. 56(6). e70050–e70050. 2 indexed citations
2.
Amaral, Andreia J., Mervi Honkatukia, Heli Lindeberg, et al.. (2024). Adipose gene expression profiles in Northern Finncattle, Mirandesa cattle, Yakutian cattle and commercial Holstein cattle. Scientific Reports. 14(1). 22216–22216. 2 indexed citations
3.
Uimari, Pekka, et al.. (2024). Signatures of positive selection after the introduction of genomic selection in the Finnish Ayrshire population. Journal of Dairy Science. 107(7). 4822–4832. 3 indexed citations
4.
Thumanu, Kanjana, et al.. (2023). Effect of carnosine synthesis precursors in the diet on jejunal metabolomic profiling and biochemical compounds in slow-growing Korat chicken. Poultry Science. 102(12). 103123–103123. 1 indexed citations
5.
Uimari, Pekka, et al.. (2023). Estimating inbreeding rate and effective population size in the Finnish Ayrshire population in the era of genomic selection. Journal of Animal Breeding and Genetics. 140(3). 343–353. 3 indexed citations
6.
Mäntysaari, Esa, et al.. (2021). Single‐step genomic evaluation of Russian dairy cattle using internal and external information. Journal of Animal Breeding and Genetics. 139(3). 259–270. 9 indexed citations
7.
Wurmser, Christine, Danang Crysnanto, Anu Sironen, et al.. (2020). Deletion of porcine BOLL is associated with defective acrosomes and subfertility in Yorkshire boars. Animal Genetics. 51(6). 945–949. 5 indexed citations
8.
Mäntysaari, Esa, et al.. (2020). Metafounder approach for single-step genomic evaluations of Red Dairy cattle. Journal of Dairy Science. 103(7). 6299–6310. 25 indexed citations
9.
Juga, Jarmo, et al.. (2017). Upgrading Dairy Cattle Evaluation System in Russian Federation. Työväentutkimus Vuosikirja. 51(51). 67–74. 3 indexed citations
10.
Uimari, Pekka, Anu Sironen, & Marja-Liisa Sevón-Aimonen. (2011). Whole-genome SNP association analysis of reproduction traits in the Finnish Landrace pig breed. Genetics Selection Evolution. 43(1). 42–42. 37 indexed citations
11.
Sironen, Anu, Pekka Uimari, Heli Venhoranta, Magnus Andersson, & Johanna Vilkki. (2011). An exonic insertion within Tex14 gene causes spermatogenic arrest in pigs. BMC Genomics. 12(1). 591–591. 24 indexed citations
12.
Heinonen, Seppo, et al.. (2004). Haplotypic association of DDAH1 with susceptibility to pre-eclampsia. Molecular Human Reproduction. 11(1). 73–77. 30 indexed citations
13.
Sironen, Anu, Magnus Andersson, Pekka Uimari, & Johanna Vilkki. (2002). Mapping of an immotile short tail sperm defect in the Finnish Yorkshire on porcine Chromosome 16. Mammalian Genome. 13(1). 45–49. 17 indexed citations
14.
Bink, M.C.A.M., et al.. (2002). Multiple QTL mapping in related plant populations via a pedigree-analysis approach. Theoretical and Applied Genetics. 104(5). 751–762. 73 indexed citations
15.
Holopainen, P., K. Mustalahti, Pekka Uimari, et al.. (2001). Candidate gene regions and genetic heterogeneity in gluten sensitivity. Gut. 48(5). 696–701. 45 indexed citations
16.
Haataja, Ritva, Riitta Marttila, Pekka Uimari, et al.. (2001). Respiratory distress syndrome: evaluation of genetic susceptibility and protection by transmission disequilibrium test. Human Genetics. 109(3). 351–355. 38 indexed citations
17.
Uimari, Pekka, Janne Pitkäniemi, & Päivi Onkamo. (1999). A bayesian markov chain monte carlo approach to map disease genes in simulated GAW11 data. Genetic Epidemiology. 17(S1). S743–8. 4 indexed citations
18.
Uimari, Pekka, Stephen J. Kemp, Jack C. M. Dekkers, A.J. Teale, & B. W. Kennedy. (1997). Sensitivity of segregation analysis to data structure and transformation: a case study of trypanotolerance in mice. Heredity. 78(4). 424–432. 1 indexed citations
19.
Uimari, Pekka & Ina Hoeschele. (1997). Mapping-Linked Quantitative Trait Loci Using Bayesian Analysis and Markov Chain Monte Carlo Algorithms. Genetics. 146(2). 735–743. 79 indexed citations
20.
Hoeschele, Ina, et al.. (1997). Advances in Statistical Methods to Map Quantitative Trait Loci in Outbred Populations. Genetics. 147(3). 1445–1457. 77 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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