Birgitta Ehrnström

764 total citations
12 papers, 541 citations indexed

About

Birgitta Ehrnström is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Artificial Intelligence. According to data from OpenAlex, Birgitta Ehrnström has authored 12 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Artificial Intelligence. Recurrent topics in Birgitta Ehrnström's work include Sepsis Diagnosis and Treatment (5 papers), Neonatal and Maternal Infections (4 papers) and Machine Learning in Healthcare (3 papers). Birgitta Ehrnström is often cited by papers focused on Sepsis Diagnosis and Treatment (5 papers), Neonatal and Maternal Infections (4 papers) and Machine Learning in Healthcare (3 papers). Birgitta Ehrnström collaborates with scholars based in Norway, United States and Sweden. Birgitta Ehrnström's co-authors include Leif Groop, Annelie Carlsson, Carola Saloranta, Aaro Miettinen, Kaj Lahti, Carol Forsblom, Björn Forsén, Marja‐Riitta Taskinen, Anna-Lena Nilsson and Bo Isomaa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes and Frontiers in Immunology.

In The Last Decade

Birgitta Ehrnström

9 papers receiving 520 citations

Peers

Birgitta Ehrnström
C. Smetanka United States
Jennifer Masters United Kingdom
Mark A. Bowman United States
Suzanne K. Cordovado United States
R. Behboo United States
Birgitta Ehrnström
Citations per year, relative to Birgitta Ehrnström Birgitta Ehrnström (= 1×) peers C. B. SANJEEVI

Countries citing papers authored by Birgitta Ehrnström

Since Specialization
Citations

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

Fields of papers citing papers by Birgitta Ehrnström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Birgitta Ehrnström

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

All Works

12 of 12 papers shown
1.
Skei, Nina Vibeche, Jan Egil Afset, Birgitta Ehrnström, et al.. (2024). Coding practice for sepsis 2008–21. Tidsskrift for Den norske legeforening. 144(3).
2.
3.
Gustad, Lise Tuset, et al.. (2024). Leveraging explainable artificial intelligence for early prediction of bloodstream infections using historical electronic health records. SHILAP Revista de lepidopterología. 3(11). e0000506–e0000506. 1 indexed citations
4.
Gustad, Lise Tuset, et al.. (2024). In-hospital mortality, readmission, and prolonged length of stay risk prediction leveraging historical electronic patient records. JAMIA Open. 7(3). ooae074–ooae074. 5 indexed citations
5.
Ehrnström, Birgitta, et al.. (2024). Immunocompromised teenager with meningitis caused by Ureaplasma parvum. BMJ Case Reports. 17(3). e257261–e257261.
6.
Ehrnström, Birgitta, Liv Ryan, Siv Helen Moen, et al.. (2020). TLR8 and complement C5 induce cytokine release and thrombin activation in human whole blood challenged with Gram-positive bacteria. Journal of Leukocyte Biology. 107(4). 673–683. 11 indexed citations
7.
Moen, Siv Helen, Birgitta Ehrnström, Maria Yurchenko, et al.. (2019). Human Toll-like Receptor 8 (TLR8) Is an Important Sensor of Pyogenic Bacteria, and Is Attenuated by Cell Surface TLR Signaling. Frontiers in Immunology. 10. 1209–1209. 51 indexed citations
8.
Ehrnström, Birgitta, Kai Sandvold Beckwith, Maria Yurchenko, et al.. (2017). Toll-Like Receptor 8 Is a Major Sensor of Group B Streptococcus But Not Escherichia coli in Human Primary Monocytes and Macrophages. Frontiers in Immunology. 8. 1243–1243. 27 indexed citations
9.
Heinz, Niels, Birgitta Ehrnström, Axel Schambach, et al.. (2015). Comparison of Different Cytokine Conditions Reveals Resveratrol as a New Molecule for Ex Vivo Cultivation of Cord Blood-Derived Hematopoietic Stem Cells. Stem Cells Translational Medicine. 4(9). 1064–1072. 21 indexed citations
10.
Blank, Ulrika, Birgitta Ehrnström, Niels Heinz, et al.. (2012). Angptl4 maintains in vivo repopulation capacity of CD34+ human cord blood cells. European Journal Of Haematology. 89(3). 198–205. 11 indexed citations
11.
Eriksson, Johan G., et al.. (2006). Long‐term beneficial effects of glipizide treatment on glucose tolerance in subjects with impaired glucose tolerance. Journal of Internal Medicine. 259(6). 553–560. 21 indexed citations
12.
Carlsson, Annelie, Bo Isomaa, Aaro Miettinen, et al.. (1999). Clinical and genetic characteristics of type 2 diabetes with and without GAD antibodies.. Diabetes. 48(1). 150–157. 393 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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