Maiken E. Gabrielsen

13.0k total citations · 1 hit paper
26 papers, 1.1k citations indexed

About

Maiken E. Gabrielsen is a scholar working on Genetics, Internal Medicine and Hematology. According to data from OpenAlex, Maiken E. Gabrielsen has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 8 papers in Internal Medicine and 7 papers in Hematology. Recurrent topics in Maiken E. Gabrielsen's work include Genetic Associations and Epidemiology (11 papers), Venous Thromboembolism Diagnosis and Management (8 papers) and Blood Coagulation and Thrombosis Mechanisms (7 papers). Maiken E. Gabrielsen is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Venous Thromboembolism Diagnosis and Management (8 papers) and Blood Coagulation and Thrombosis Mechanisms (7 papers). Maiken E. Gabrielsen collaborates with scholars based in Norway, United States and Netherlands. Maiken E. Gabrielsen's co-authors include Kristian Hveem, Cristen J. Willer, Wei Zhou, Lars G. Fritsche, Jonas B. Nielsen, Gonçalo R. Abecasis, Seunggeun Lee, Sarah A. Gagliano Taliun, Jonathon LeFaive and Brooke N. Wolford and has published in prestigious journals such as Nature Communications, Nature Genetics and International Journal of Epidemiology.

In The Last Decade

Maiken E. Gabrielsen

23 papers receiving 1.1k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies

2018 596 citations Wei Zhou, Jonas B. Nielsen et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maiken E. Gabrielsen Norway	13	524	297	133	125	92	26	1.1k
Wes Spiller United Kingdom	8	632 1.2×	252 0.8×	179 1.3×	147 1.2×	119 1.3×	14	1.1k
Eric A. W. Slob United Kingdom	10	405 0.8×	202 0.7×	123 0.9×	83 0.7×	99 1.1×	21	872
Nina Mars Finland	16	420 0.8×	166 0.6×	119 0.9×	113 0.9×	114 1.2×	38	973
Benjamin B. Sun United Kingdom	10	689 1.3×	444 1.5×	179 1.3×	172 1.4×	161 1.8×	15	1.4k
Jessica N. Cooke Bailey United States	23	330 0.6×	374 1.3×	250 1.9×	91 0.7×	99 1.1×	64	1.7k
Jean Morrison United States	8	701 1.3×	538 1.8×	188 1.4×	172 1.4×	147 1.6×	12	1.6k
Laura M. Raffield United States	20	208 0.4×	277 0.9×	122 0.9×	150 1.2×	105 1.1×	79	1.1k
Karoline Kuchenbaecker United Kingdom	12	548 1.0×	234 0.8×	80 0.6×	88 0.7×	50 0.5×	28	962
Donatella Capalbo Italy	25	302 0.6×	338 1.1×	60 0.5×	91 0.7×	142 1.5×	72	1.6k
Maggie C. Y. Ng United States	22	724 1.4×	565 1.9×	158 1.2×	179 1.4×	187 2.0×	49	1.6k

Countries citing papers authored by Maiken E. Gabrielsen

Since Specialization

Citations

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

Fields of papers citing papers by Maiken E. Gabrielsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maiken E. Gabrielsen. 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 Maiken E. Gabrielsen. The network helps show where Maiken E. Gabrielsen may publish in the future.

Co-authorship network of co-authors of Maiken E. Gabrielsen

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

All Works

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20 of 20 papers shown

Hveem, Kristian, et al.. (2025). Body height and risk of venous thromboembolism in men vs women. Journal of Thrombosis and Haemostasis. 23(5). 1576–1584.

Hveem, Kristian, et al.. (2024). Proportion of venous thromboembolism attributed to recognized prothrombotic genotypes in men and women. Research and Practice in Thrombosis and Haemostasis. 8(2). 102343–102343.

Grahnemo, Louise, Maria Nethander, Eivind Coward, et al.. (2023). Identification of three bacterial species associated with increased appendicular lean mass: the HUNT study. Nature Communications. 14(1). 2250–2250. 12 indexed citations

Zajac, Gregory J. M., Sarah A. Gagliano Taliun, Carlo Sidore, et al.. (2023). A fast linkage method for population GWAS cohorts with related individuals. Genetic Epidemiology. 47(3). 231–248.

Nethander, Maria, Eivind Coward, Ene Reimann, et al.. (2022). Assessment of the genetic and clinical determinants of hip fracture risk: Genome-wide association and Mendelian randomization study. Cell Reports Medicine. 3(10). 100776–100776. 21 indexed citations

Mars, Nina, Sini Kerminen, Yen‐Chen Anne Feng, et al.. (2022). Genome-wide risk prediction of common diseases across ancestries in one million people. Cell Genomics. 2(4). 100118–100118. 43 indexed citations

Hveem, Kristian, Marianne Tang Severinsen, Maiken E. Gabrielsen, et al.. (2021). Prothrombotic genotypes and risk of venous thromboembolism in occult cancer. Thrombosis Research. 205. 17–23. 5 indexed citations

Winsvold, Bendik S., Laurent F. Thomas, Anne Heidi Skogholt, et al.. (2021). Genome-Wide Association Study of 2,093 Cases With Idiopathic Polyneuropathy and 445,256 Controls Identifies First Susceptibility Loci. Frontiers in Neurology. 12. 789093–789093. 6 indexed citations

Rasheed, Humaira, Jie Zheng, Jessica M. B. Rees, et al.. (2021). The causal effects of serum lipids and apolipoproteins on kidney function: multivariable and bidirectional Mendelian-randomization analyses. International Journal of Epidemiology. 50(5). 1569–1579. 18 indexed citations

10.

Johnsen, Marianne Bakke, Karin Magnusson, Sigrid Børte, et al.. (2020). Development and validation of a prediction model for incident hand osteoarthritis in the HUNT study. Osteoarthritis and Cartilage. 28(7). 932–940. 5 indexed citations

11.

Morelli, Vânia M., Kristian Hveem, Maiken E. Gabrielsen, et al.. (2019). Impact of prothrombotic genotypes on the association between family history of myocardial infarction and venous thromboembolism. Journal of Thrombosis and Haemostasis. 17(8). 1363–1371. 5 indexed citations

12.

Smith, Erin N., Kristian Hveem, Maiken E. Gabrielsen, et al.. (2019). Fibrinogen gamma gene rs2066865 and risk of cancer-related venous thromboembolism. Haematologica. 105(7). 1963–1968. 12 indexed citations

13.

Vie, Gunnhild Åberge, Robyn E. Wootton, Johan Hå‌kon Bjø‌rngaard, et al.. (2019). The effect of smoking intensity on all-cause and cause-specific mortality—a Mendelian randomization analysis. International Journal of Epidemiology. 48(5). 1438–1446. 9 indexed citations

14.

Zhou, Wei, Jonas B. Nielsen, Lars G. Fritsche, et al.. (2018). Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies. Nature Genetics. 50(9). 1335–1341. 596 indexed citations breakdown →

15.

Taylor, Michelle, Line Rode, Johan Hå‌kon Bjø‌rngaard, et al.. (2018). Is smoking heaviness causally associated with alcohol use? A Mendelian randomization study in four European cohorts. International Journal of Epidemiology. 47(4). 1098–1105. 16 indexed citations

16.

Johnsen, Marianne Bakke, Gunnhild Åberge Vie, Bendik S. Winsvold, et al.. (2017). The causal role of smoking on the risk of hip or knee replacement due to primary osteoarthritis. a mendelian randomization analysis of the nord-trØndelag health study. Osteoarthritis and Cartilage. 25. S181–S182. 1 indexed citations

17.

Bjø‌rngaard, Johan Hå‌kon, Ask Tybjærg Nordestgaard, Amy E. Taylor, et al.. (2017). Heavier smoking increases coffee consumption: findings from a Mendelian randomization analysis. International Journal of Epidemiology. 46(6). 1958–1967. 63 indexed citations

18.

Åsvold, Bjørn Olav, Johan Hå‌kon Bjø‌rngaard, David Carslake, et al.. (2014). Causal associations of tobacco smoking with cardiovascular risk factors: a Mendelian randomization analysis of the HUNT Study in Norway. International Journal of Epidemiology. 43(5). 1458–1470. 56 indexed citations

19.

Gabrielsen, Maiken E., Pål Romundstad, Arnulf Langhammer, Hans E. Krokan, & Frank Skorpen. (2013). Association between a 15q25 gene variant, nicotine-related habits, lung cancer and COPD among 56 307 individuals from the HUNT study in Norway. European Journal of Human Genetics. 21(11). 1293–1299. 30 indexed citations

20.

Johnson, Matthew P., Shaun P. Brennecke, Ann‐Charlotte Iversen, et al.. (2012). OS046. Genome-wide association scans identify novel maternalsusceptibility loci for preeclampsia. Pregnancy Hypertension. 2(3). 202–202. 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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