B. Berglund

2.7k total citations
74 papers, 2.1k citations indexed

About

B. Berglund is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, B. Berglund has authored 74 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Agronomy and Crop Science, 64 papers in Genetics and 18 papers in Animal Science and Zoology. Recurrent topics in B. Berglund's work include Genetic and phenotypic traits in livestock (64 papers), Reproductive Physiology in Livestock (61 papers) and Effects of Environmental Stressors on Livestock (18 papers). B. Berglund is often cited by papers focused on Genetic and phenotypic traits in livestock (64 papers), Reproductive Physiology in Livestock (61 papers) and Effects of Environmental Stressors on Livestock (18 papers). B. Berglund collaborates with scholars based in Sweden, Denmark and Netherlands. B. Berglund's co-authors include E. Strandberg, J. Philipsson, Ulf Emanuelson, H. Gustafsson, Christel Nielsen, L. Rydhmer, M. Elvander, Kjell Arne Johansson, A. Näsholm and W.F. Fikse and has published in prestigious journals such as PLoS ONE, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

B. Berglund

71 papers receiving 1.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
B. Berglund 1.6k 1.5k 584 422 117 74 2.1k
L.B. Hansen 1.6k 1.0× 1.6k 1.1× 498 0.9× 358 0.8× 96 0.8× 63 2.0k
A.T.M. van Knegsel 1.9k 1.2× 1.3k 0.9× 772 1.3× 418 1.0× 117 1.0× 84 2.4k
R. J. Esslemont 1.2k 0.7× 860 0.6× 419 0.7× 524 1.2× 95 0.8× 42 1.5k
C.D. Dechow 1.2k 0.7× 1.2k 0.8× 585 1.0× 465 1.1× 67 0.6× 75 1.9k
A.R. Cromie 1.3k 0.8× 1.5k 1.0× 710 1.2× 304 0.7× 88 0.8× 95 2.3k
Birgit Fuerst‐Waltl 744 0.5× 975 0.7× 487 0.8× 327 0.8× 72 0.6× 113 1.4k
Geoffry Fordyce 1.2k 0.8× 1.4k 1.0× 637 1.1× 491 1.2× 83 0.7× 125 2.2k
S. König 865 0.5× 1.3k 0.9× 839 1.4× 414 1.0× 63 0.5× 67 1.8k
C.S. Galina 1.0k 0.6× 867 0.6× 605 1.0× 471 1.1× 63 0.5× 117 1.4k
C. Egger-Danner 784 0.5× 955 0.7× 454 0.8× 365 0.9× 72 0.6× 96 1.4k

Countries citing papers authored by B. Berglund

Since Specialization
Citations

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

Fields of papers citing papers by B. Berglund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Berglund

This figure shows the co-authorship network connecting the top 25 collaborators of B. Berglund. A scholar is included among the top collaborators of B. Berglund 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 B. Berglund. B. Berglund 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.
Strandberg, E., et al.. (2023). Genetic parameters of pregnancy loss in dairy cows estimated from pregnancy-associated glycoproteins in milk. Journal of Dairy Science. 106(9). 6316–6324. 2 indexed citations
2.
Tarekegn, Getinet Mekuriaw, et al.. (2021). Genetic parameters of forage dry matter intake and milk produced from forage in Swedish Red and Holstein dairy cows. Journal of Dairy Science. 104(4). 4424–4440. 5 indexed citations
3.
Bouwman, A.C., et al.. (2018). Improving accuracy of bulls' predicted genomic breeding values for fertility using daughters' milk progesterone profiles. Journal of Dairy Science. 101(6). 5177–5193. 5 indexed citations
4.
Gustafsson, H., et al.. (2018). Extent and pattern of pregnancy losses and progesterone levels during gestation in Swedish Red and Swedish Holstein dairy cows. Acta veterinaria Scandinavica. 60(1). 68–68. 32 indexed citations
5.
Li, Bingjie, W.F. Fikse, Peter Løvendahl, et al.. (2018). Genetic heterogeneity of feed intake, energy-corrected milk, and body weight across lactation in primiparous Holstein, Nordic Red, and Jersey cows. Journal of Dairy Science. 101(11). 10011–10021. 38 indexed citations
6.
Li, Bingjie, B. Berglund, W.F. Fikse, et al.. (2017). Neglect of lactation stage leads to naive assessment of residual feed intake in dairy cattle. Journal of Dairy Science. 100(11). 9076–9084. 54 indexed citations
7.
Gustafsson, H., et al.. (2016). A longitudinal study of oestrous characteristics and conception in tie-stalled and loose-housed Swedish dairy cows. Acta Agriculturae Scandinavica Section A – Animal Science. 66(3). 135–144. 7 indexed citations
8.
Li, Bingjie, W.F. Fikse, Jan Lassen, et al.. (2016). Genetic parameters for dry matter intake in primiparous Holstein, Nordic Red, and Jersey cows in the first half of lactation. Journal of Dairy Science. 99(9). 7232–7239. 38 indexed citations
9.
Humblot, P., et al.. (2016). Effect of energy balance profiles on metabolic and reproductive response in Holstein and Swedish Red cows. Theriogenology. 90. 276–283. 17 indexed citations
10.
Bouwman, A.C., et al.. (2015). Estimating genetic parameters for fertility in dairy cows from in-line milk progesterone profiles. Journal of Dairy Science. 98(8). 5763–5773. 28 indexed citations
11.
Jakobsen, Jette, et al.. (2009). International genetic evaluations for female fertility traits using multi-trait MACE. Bulletin - International Bull Evaluation Service/Interbull bulletin. 99. 2 indexed citations
12.
Jakobsen, Jette, et al.. (2009). MT-MACE for female fertility and milk yield. Bulletin - International Bull Evaluation Service/Interbull bulletin. 68. 1 indexed citations
13.
Nielsen, Christel, Ulf Emanuelson, B. Berglund, & E. Strandberg. (2009). Relationship between somatic cell count and milk yield in different stages of lactation. Journal of Dairy Science. 92(7). 3124–3133. 149 indexed citations
14.
Berglund, B., E. Strandberg, H. Gustafsson, et al.. (2007). Genetic Analysis of Postpartum Measures of Luteal Activity in Dairy Cows. Journal of Dairy Science. 90(1). 427–434. 50 indexed citations
15.
Emanuelson, Ulf, et al.. (2007). Yield Losses Associated with Clinical Mastitis Occurring in Different Weeks of Lactation. Journal of Dairy Science. 90(5). 2260–2270. 73 indexed citations
16.
Gustafsson, H., et al.. (2006). Atypical Progesterone Profiles and Fertility in Swedish Dairy Cows. Journal of Dairy Science. 89(7). 2529–2538. 52 indexed citations
17.
Näsholm, A., et al.. (2003). Genetic Effects on Stillbirth and Calving Difficulty in Swedish Holsteins at First and Second Calving. Journal of Dairy Science. 86(6). 2228–2235. 138 indexed citations
18.
Johansson, Kjell, et al.. (2000). Stillbirths and dystocia in first and second parities in Swedish Holstein cattle. Bulletin - International Bull Evaluation Service/Interbull bulletin. 131. 4 indexed citations
19.
Philipsson, J., et al.. (1998). Considering stillbirths in the breeding program. Bulletin - International Bull Evaluation Service/Interbull bulletin. 25. 8 indexed citations
20.
Philipsson, J., et al.. (1997). Relationships between somatic cell counts and clinical mastitis in Swedish dairy breeds. Bulletin - International Bull Evaluation Service/Interbull bulletin. 61.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by L.B. Hansen Breakdown of academic impact, for papers by A.T.M. van Knegsel Breakdown of academic impact, for papers by R. J. Esslemont Breakdown of academic impact, for papers by C.D. Dechow Breakdown of academic impact, for papers by A.R. Cromie Breakdown of academic impact, for papers by Birgit Fuerst‐Waltl Breakdown of academic impact, for papers by Geoffry Fordyce Breakdown of academic impact, for papers by S. König Breakdown of academic impact, for papers by C.S. Galina Breakdown of academic impact, for papers by C. Egger-Danner
Rankless by CCL
2026