Maria Bäärnhielm

1.5k total citations
9 papers, 940 citations indexed

About

Maria Bäärnhielm is a scholar working on Pathology and Forensic Medicine, Immunology and Epidemiology. According to data from OpenAlex, Maria Bäärnhielm has authored 9 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 4 papers in Immunology and 3 papers in Epidemiology. Recurrent topics in Maria Bäärnhielm's work include Multiple Sclerosis Research Studies (5 papers), Vitamin D Research Studies (3 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). Maria Bäärnhielm is often cited by papers focused on Multiple Sclerosis Research Studies (5 papers), Vitamin D Research Studies (3 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). Maria Bäärnhielm collaborates with scholars based in Sweden, Australia and India. Maria Bäärnhielm's co-authors include Lars Alfredsson, Tomas Olsson, Anna Karin Hedström, Ingrid Kockum, Jan Hillert, Emilie Sundqvist, AK Hedström, Sven A. Gustafsson, Brooke Rhead and Milena Gianfrancesco and has published in prestigious journals such as Brain, Neurology and Annals of Neurology.

In The Last Decade

Maria Bäärnhielm

9 papers receiving 907 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Bäärnhielm Sweden 8 718 321 124 100 91 9 940
KG Simon United States 6 746 1.0× 355 1.1× 126 1.0× 153 1.5× 104 1.1× 9 981
Marja‐Liisa Sumelahti Finland 16 653 0.9× 179 0.6× 157 1.3× 145 1.4× 114 1.3× 45 911
Emilie Sundqvist Sweden 10 513 0.7× 296 0.9× 62 0.5× 101 1.0× 60 0.7× 12 750
Anne‐Hilde Muris Netherlands 14 460 0.6× 262 0.8× 56 0.5× 50 0.5× 104 1.1× 22 674
Narelle Maugeri Australia 7 740 1.0× 286 0.9× 69 0.6× 71 0.7× 215 2.4× 8 1.1k
Andreia Bettencourt Portugal 18 264 0.4× 215 0.7× 83 0.7× 158 1.6× 84 0.9× 39 761
Sarah-Michelle Orton United Kingdom 10 1.1k 1.5× 430 1.3× 100 0.8× 115 1.1× 211 2.3× 11 1.4k
Stine Marit Moen Norway 15 469 0.7× 139 0.4× 87 0.7× 88 0.9× 75 0.8× 26 611
Mark Rametta United States 10 530 0.7× 168 0.5× 61 0.5× 146 1.5× 76 0.8× 19 700
Xiaorong Shao United States 13 297 0.4× 144 0.4× 50 0.4× 101 1.0× 198 2.2× 24 639

Countries citing papers authored by Maria Bäärnhielm

Since Specialization
Citations

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

Fields of papers citing papers by Maria Bäärnhielm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Bäärnhielm

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

All Works

9 of 9 papers shown
1.
Rhead, Brooke, Maria Bäärnhielm, Milena Gianfrancesco, et al.. (2016). Mendelian randomization shows a causal effect of low vitamin D on multiple sclerosis risk. Neurology Genetics. 2(5). e97–e97. 144 indexed citations
2.
Ueda, Peter, Maria Bäärnhielm, Anna Karin Hedström, et al.. (2014). Neonatal vitamin D status and risk of multiple sclerosis. Annals of Neurology. 76(3). 338–346. 54 indexed citations
3.
Bäärnhielm, Maria, Tomas Olsson, & Lars Alfredsson. (2013). Fatty fish intake is associated with decreased occurrence of multiple sclerosis. Multiple Sclerosis Journal. 20(6). 726–732. 76 indexed citations
4.
Bäärnhielm, Maria, Anna Karin Hedström, Ingrid Kockum, et al.. (2012). Sunlight is associated with decreased multiple sclerosis risk: no interaction with human leukocyte antigen‐DRB1*15. European Journal of Neurology. 19(7). 955–962. 103 indexed citations
5.
Hedström, AK, Maria Bäärnhielm, Tomas Olsson, & Lars Alfredsson. (2011). Exposure to environmental tobacco smoke is associated with increased risk for multiple sclerosis. Multiple Sclerosis Journal. 17(7). 788–793. 91 indexed citations
6.
Hedström, Anna Karin, Emilie Sundqvist, Maria Bäärnhielm, et al.. (2011). Smoking and two human leukocyte antigen genes interact to increase the risk for multiple sclerosis. Brain. 134(3). 653–664. 178 indexed citations
7.
Sundqvist, Emilie, Maria Bäärnhielm, Lars Alfredsson, et al.. (2010). Confirmation of association between multiple sclerosis and CYP27B1. European Journal of Human Genetics. 18(12). 1349–1352. 85 indexed citations
8.
Hedström, Anna Karin, Maria Bäärnhielm, Tomas Olsson, & Lars Alfredsson. (2009). Tobacco smoking, but not Swedish snuff use, increases the risk of multiple sclerosis. Neurology. 73(9). 696–701. 207 indexed citations
9.
Lalitha, M. K., Maria Bäärnhielm, Erik Kihlström, & Göran Kronvall. (1999). Epidemiological typing of Streptococcus pneumoniae from various sources in Sweden and India using Box A PCR fingerprinting. Apmis. 107(1-6). 389–394. 2 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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