Lars Rönnegård

2.2k total citations
74 papers, 1.5k citations indexed

About

Lars Rönnegård is a scholar working on Genetics, Plant Science and Small Animals. According to data from OpenAlex, Lars Rönnegård has authored 74 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Genetics, 20 papers in Plant Science and 12 papers in Small Animals. Recurrent topics in Lars Rönnegård's work include Genetic and phenotypic traits in livestock (43 papers), Genetic Mapping and Diversity in Plants and Animals (26 papers) and Genetics and Plant Breeding (18 papers). Lars Rönnegård is often cited by papers focused on Genetic and phenotypic traits in livestock (43 papers), Genetic Mapping and Diversity in Plants and Animals (26 papers) and Genetics and Plant Breeding (18 papers). Lars Rönnegård collaborates with scholars based in Sweden, Netherlands and United States. Lars Rönnegård's co-authors include Xia Shen, William Valdar, Moudud Alam, Örjan Carlborg, W.F. Fikse, H.A. Mulder, E. Strandberg, Mats E. Pettersson, Arild Husby and Anna Qvarnström and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Lars Rönnegård

70 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
Lars Rönnegård Sweden 21 888 275 236 214 175 74 1.5k
Pascal Leroy Belgium 21 633 0.7× 198 0.7× 154 0.7× 448 2.1× 127 0.7× 155 1.7k
Tesfaye Getachew Ethiopia 17 705 0.8× 122 0.4× 137 0.6× 262 1.2× 101 0.6× 136 1.4k
G. Gandini Italy 23 751 0.8× 173 0.6× 164 0.7× 622 2.9× 227 1.3× 76 1.6k
Grégoire Leroy Italy 15 670 0.8× 110 0.4× 226 1.0× 109 0.5× 129 0.7× 29 948
Magali San Cristobal France 17 934 1.1× 262 1.0× 130 0.6× 154 0.7× 204 1.2× 24 1.4k
Allan Lisle Australia 22 233 0.3× 220 0.8× 616 2.6× 292 1.4× 162 0.9× 89 1.9k
Helena Röcklinsberg Sweden 18 305 0.3× 165 0.6× 243 1.0× 112 0.5× 70 0.4× 51 972
Juan Vicente Delgado Bermejo Spain 26 1.9k 2.1× 164 0.6× 166 0.7× 872 4.1× 272 1.6× 318 2.8k
R. Baumung Austria 25 1.3k 1.4× 170 0.6× 137 0.6× 415 1.9× 101 0.6× 75 1.7k
A. Waterhouse United Kingdom 32 827 0.9× 216 0.8× 556 2.4× 538 2.5× 292 1.7× 91 2.5k

Countries citing papers authored by Lars Rönnegård

Since Specialization
Citations

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

Fields of papers citing papers by Lars Rönnegård

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Rönnegård

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Rönnegård. A scholar is included among the top collaborators of Lars Rönnegård 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 Lars Rönnegård. Lars Rönnegård 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
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Rönnegård, Lars, et al.. (2025). Behavioural predictability in chickens in response to anxiogenic stimuli is influenced by maternal corticosterone levels during egg formation. Scientific Reports. 15(1). 32670–32670. 1 indexed citations
3.
Hansson, I., et al.. (2023). Cow characteristics associated with the variation in number of contacts between dairy cows. Journal of Dairy Science. 106(4). 2685–2699. 9 indexed citations
4.
Cunha, Felipe, et al.. (2022). Proportional Cerebellum Size Predicts Fear Habituation in Chickens. Frontiers in Physiology. 13. 826178–826178. 3 indexed citations
5.
Mahjani, Behrang, et al.. (2021). Family History of Breast Cancer Is Associated with Elevated Risk of Prostate Cancer: Evidence for Shared Genetic Risks. Human Heredity. 87(1). 12–20. 2 indexed citations
6.
Sandgren, C. Hallén, et al.. (2021). Homogeneity density scores of quarter milk in automatic milking systems. Journal of Dairy Science. 104(9). 10121–10130. 3 indexed citations
7.
Emanuelson, Ulf, et al.. (2021). Detecting and predicting changes in milk homogeneity using data from automatic milking systems. Journal of Dairy Science. 104(10). 11009–11017. 8 indexed citations
8.
Emanuelson, Ulf, et al.. (2020). Comparison of methods for predicting cow composite somatic cell counts. Journal of Dairy Science. 103(9). 8433–8442. 23 indexed citations
9.
Alam, Moudud, et al.. (2019). Investigating Stochastic Differential Equations Modelling for Levodopa Infusion in Patients with Parkinson’s Disease. European Journal of Drug Metabolism and Pharmacokinetics. 45(1). 41–49. 4 indexed citations
10.
Mulder, H.A., et al.. (2018). Modelling the co-evolution of indirect genetic effects and inherited variability. Heredity. 121(6). 631–647. 17 indexed citations
11.
Silva, Catarina N. S., S. Eryn McFarlane, Ingerid J. Hagen, et al.. (2017). Insights into the genetic architecture of morphological traits in two passerine bird species. Heredity. 119(3). 197–205. 32 indexed citations
12.
Casals, Martí, Klaus Langohr, Josep L. Carrasco, & Lars Rönnegård. (2015). Parameter estimation of Poisson generalized linear mixed models based on three different statistical principles: a simulation study. RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya). 39(2). 281–308. 9 indexed citations
13.
Mulder, H.A., Lars Rönnegård, W.F. Fikse, R.F. Veerkamp, & E. Strandberg. (2013). Estimation of genetic variance for macro- and micro-environmental sensitivity using double hierarchical generalized linear models. Genetics Selection Evolution. 45(1). 23–23. 54 indexed citations
14.
Sonesson, Anna K., Jørgen Ødegård, & Lars Rönnegård. (2013). Genetic heterogeneity of within-family variance of body weight in Atlantic salmon (Salmo salar). Genetics Selection Evolution. 45(1). 41–41. 37 indexed citations
15.
16.
Rönnegård, Lars, W.F. Fikse, H.A. Mulder, & E. Strandberg. (2011). Breeding Value Estimation for Environmental Sensitivity on a Large Dairy Cattle Data Set. Socio-Environmental Systems Modeling. 44(44). 110–113. 1 indexed citations
17.
Rönnegård, Lars, et al.. (2010). Genetic heterogeneity of residual variance - estimation of variance components using double hierarchical generalized linear models. Genetics Selection Evolution. 42(1). 8–8. 85 indexed citations
18.
Rönnegård, Lars & Örjan Carlborg. (2007). Separation of base allele and sampling term effects gives new insights in variance component QTL analysis. BMC Genetics. 8(1). 1–1. 19 indexed citations
19.
Rönnegård, Lars & Örjan Carlborg. (2006). A new efficient method for QTL mapping in divergent intercrosses incorporating within line variation.. 3 indexed citations
20.
Rönnegård, Lars & John Woolliams. (2003). Predicted rates of inbreeding with additive maternal effects. Genetics Research. 82(1). 67–77. 6 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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