Maria Åkerstedt

445 total citations
10 papers, 318 citations indexed

About

Maria Åkerstedt is a scholar working on Agronomy and Crop Science, Nutrition and Dietetics and Small Animals. According to data from OpenAlex, Maria Åkerstedt has authored 10 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Agronomy and Crop Science, 9 papers in Nutrition and Dietetics and 5 papers in Small Animals. Recurrent topics in Maria Åkerstedt's work include Milk Quality and Mastitis in Dairy Cows (10 papers), Infant Nutrition and Health (9 papers) and Animal health and immunology (4 papers). Maria Åkerstedt is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (10 papers), Infant Nutrition and Health (9 papers) and Animal health and immunology (4 papers). Maria Åkerstedt collaborates with scholars based in Sweden, Denmark and Vietnam. Maria Åkerstedt's co-authors include Åse Sternesjö, Karin Persson Waller, K. Svennersten‐Sjaunja, Anders Andrén, H. Lindmark-Månsson, Monika Johansson, Torben Larsen, Lennart Björck, Ewa Wredle and Lotte Bach Larsen and has published in prestigious journals such as Journal of Dairy Science, Journal of Food Protection and International Dairy Journal.

In The Last Decade

Maria Åkerstedt

10 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria Åkerstedt Sweden	9	263	112	95	88	78	10	318
E.N. Escobar United States	6	243 0.9×	126 1.1×	114 1.2×	39 0.4×	35 0.4×	8	303
M. S. Bhadwal India	3	271 1.0×	107 1.0×	95 1.0×	52 0.6×	22 0.3×	13	330
Lucio Zanini Italy	10	230 0.9×	134 1.2×	84 0.9×	44 0.5×	40 0.5×	18	296
E. Rollin United States	7	276 1.0×	97 0.9×	112 1.2×	60 0.7×	16 0.2×	11	343
Navav Singh India	4	296 1.1×	115 1.0×	114 1.2×	54 0.6×	22 0.3×	14	355
B. K. Bansal India	9	221 0.8×	84 0.8×	85 0.9×	70 0.8×	23 0.3×	40	305
H. Wilmink Netherlands	3	369 1.4×	162 1.4×	165 1.7×	82 0.9×	45 0.6×	5	442
N. Rota Italy	8	178 0.7×	133 1.2×	29 0.3×	48 0.5×	35 0.4×	15	344
Zuzana Farkašová Slovakia	9	184 0.7×	109 1.0×	38 0.4×	69 0.8×	22 0.3×	46	293
Auldist Mj Australia	5	268 1.0×	133 1.2×	124 1.3×	33 0.4×	51 0.7×	9	311

Countries citing papers authored by Maria Åkerstedt

Since Specialization

Citations

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

Fields of papers citing papers by Maria Åkerstedt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Åkerstedt

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

All Works

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10 of 10 papers shown

Johansson, Monika, Maria Åkerstedt, Shengjie Li, Galia Zamaratskaia, & Åse Lundh. (2013). Casein Breakdown in Bovine Milk by a Field Strain of Staphylococcus aureus. Journal of Food Protection. 76(9). 1638–1642. 16 indexed citations

Johansson, Monika, Jana Picková, Anders Andrén, et al.. (2013). Impact of crude protein content in silage and concentrate on protein and fatty acid profiles in bovine milk. Czech Journal of Animal Science. 58(7). 304–312. 1 indexed citations

Åkerstedt, Maria, et al.. (2012). Protein degradation in bovine milk caused byStreptococcus agalactiae. Journal of Dairy Research. 79(3). 297–303. 31 indexed citations

Lindmark-Månsson, H., et al.. (2010). Day-to-day variation in milk yield and milk composition at the udder-quarter level. Journal of Dairy Science. 93(8). 3569–3577. 62 indexed citations

Åkerstedt, Maria, et al.. (2010). Natural variation in biomarkers indicating mastitis in healthy cows. Journal of Dairy Research. 78(1). 88–96. 34 indexed citations

Åkerstedt, Maria, Karin Persson Waller, & Åse Sternesjö. (2009). Haptoglobin and serum amyloid A in bulk tank milk in relation to raw milk quality. Journal of Dairy Research. 76(4). 483–489. 19 indexed citations

Lindmark-Månsson, H., et al.. (2009). Udder quarter milk composition at different levels of somatic cell count in cow composite milk. animal. 3(5). 710–717. 58 indexed citations

Åkerstedt, Maria, et al.. (2008). Relationship between haptoglobin and serum amyloid A in milk and milk quality. International Dairy Journal. 18(6). 669–674. 20 indexed citations

Åkerstedt, Maria, Karin Persson Waller, & Åse Sternesjö. (2007). Haptoglobin and serum amyloid A in relation to the somatic cell count in quarter, cow composite and bulk tank milk samples. Journal of Dairy Research. 74(2). 198–203. 41 indexed citations

10.

Åkerstedt, Maria, Lennart Björck, Karin Persson Waller, & Åse Sternesjö. (2006). Biosensor assay for determination of haptoglobin in bovine milk. Journal of Dairy Research. 73(3). 299–305. 36 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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