M. Åkerlind

494 total citations
15 papers, 212 citations indexed

About

M. Åkerlind is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, M. Åkerlind has authored 15 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Agronomy and Crop Science, 9 papers in Genetics and 4 papers in Animal Science and Zoology. Recurrent topics in M. Åkerlind's work include Reproductive Physiology in Livestock (10 papers), Genetic and phenotypic traits in livestock (9 papers) and Ruminant Nutrition and Digestive Physiology (9 papers). M. Åkerlind is often cited by papers focused on Reproductive Physiology in Livestock (10 papers), Genetic and phenotypic traits in livestock (9 papers) and Ruminant Nutrition and Digestive Physiology (9 papers). M. Åkerlind collaborates with scholars based in Sweden, Denmark and India. M. Åkerlind's co-authors include K. Holtenius, M.R. Murphy, J. Bertilsson, H. Volden, N. I. Nielsen, Anne Louise Frydendahl Hellwing, Maike Brask, T. M. Storlien, Johanna Karlsson and M. Emanuelson and has published in prestigious journals such as PLoS ONE, Journal of Dairy Science and International Dairy Journal.

In The Last Decade

M. Åkerlind

13 papers receiving 193 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Åkerlind Sweden 8 168 91 53 45 20 15 212
M. Egan Ireland 11 239 1.4× 80 0.9× 58 1.1× 52 1.2× 34 1.7× 34 324
P.S. Alvarez-Hess Australia 10 178 1.1× 30 0.3× 51 1.0× 72 1.6× 19 0.9× 27 250
F.A.S. Silva Brazil 9 166 1.0× 84 0.9× 94 1.8× 31 0.7× 16 0.8× 29 214
Lays Débora Silva Mariz Brazil 11 212 1.3× 99 1.1× 87 1.6× 27 0.6× 28 1.4× 31 258
Crystal D. Buckner United States 10 301 1.8× 92 1.0× 174 3.3× 48 1.1× 20 1.0× 29 346
M. C. Barnett Australia 9 272 1.6× 89 1.0× 77 1.5× 65 1.4× 10 0.5× 10 350
Adam L. Shreck United States 10 205 1.2× 45 0.5× 145 2.7× 69 1.5× 13 0.7× 37 307
Clementina Álvarez Norway 4 126 0.8× 34 0.4× 42 0.8× 77 1.7× 21 1.1× 7 198
Casey Macken United States 10 241 1.4× 105 1.2× 123 2.3× 30 0.7× 26 1.3× 41 302
N. Galvin Ireland 13 301 1.8× 181 2.0× 104 2.0× 66 1.5× 34 1.7× 26 397

Countries citing papers authored by M. Åkerlind

Since Specialization
Citations

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

Fields of papers citing papers by M. Åkerlind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Åkerlind

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

All Works

15 of 15 papers shown
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Holtenius, K., et al.. (2023). A randomized study on the effect of extended voluntary waiting period in primiparous dairy cows on milk yield during first and second lactation. Journal of Dairy Science. 106(4). 2510–2518. 8 indexed citations
5.
Karlsson, Johanna, Rebecca Danielsson, M. Åkerlind, & K. Holtenius. (2022). Full-lactation performance of multiparous dairy cows with differing residual feed intake. PLoS ONE. 17(8). e0273420–e0273420. 2 indexed citations
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Bertilsson, J., M. Åkerlind, & T. Eriksson. (2017). The effects of high-sugar ryegrass/red clover silage diets on intake, production, digestibility, and N utilization in dairy cows, as measured in vivo and predicted by the NorFor model. Journal of Dairy Science. 100(10). 7990–8003. 11 indexed citations
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Johansson, Birgitta, Karl-Ivar Kumm, M. Åkerlind, & Elisabet Nadeau. (2015). Cold-pressed rapeseed cake or full fat rapeseed to organic dairy cows—milk production and profitability. Organic Agriculture. 5(1). 29–38. 6 indexed citations
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Nielsen, N. I., H. Volden, M. Åkerlind, et al.. (2013). A prediction equation for enteric methane emission from dairy cows for use in NorFor. Acta Agriculturae Scandinavica Section A – Animal Science. 63(3). 126–130. 49 indexed citations
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Åkerlind, M., Martin Riis Weisbjerg, T. Eriksson, et al.. (2011). Feed analysis and digestion methods. 11 indexed citations
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Murphy, M.R., M. Åkerlind, & K. Holtenius. (2000). Rumen Fermentation in Lactating Cows Selected for Milk Fat Content Fed Two Forage to Concentrate Ratios with Hay or Silage. Journal of Dairy Science. 83(4). 756–764. 68 indexed citations
13.
Åkerlind, M., M. Emanuelson, K. Dahlborn, & K. Holtenius. (1999). Glucose challenge in early lactating dairy cows selected for high or low milk-fat concentration. Animal Science. 68(4). 717–722. 6 indexed citations
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Åkerlind, M., K. Holtenius, J. Bertilsson, & M. Emanuelson. (1999). Milk composition and feed intake in dairy cows selected for high or low milk fat percentage. Livestock Production Science. 59(1). 1–11. 18 indexed citations
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Allmere, Toomas, M. Åkerlind, & Anders Andrén. (1999). Rheological properties of acidified gels of skim milk from cows selected for high or low milk fat concentration. International Dairy Journal. 9(10). 703–707. 9 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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