Maja Laursen

453 total citations
9 papers, 274 citations indexed

About

Maja Laursen is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, Maja Laursen has authored 9 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Public Health, Environmental and Occupational Health, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Obstetrics and Gynecology. Recurrent topics in Maja Laursen's work include Pregnancy and Medication Impact (3 papers), Maternal and Perinatal Health Interventions (2 papers) and Maternal Mental Health During Pregnancy and Postpartum (2 papers). Maja Laursen is often cited by papers focused on Pregnancy and Medication Impact (3 papers), Maternal and Perinatal Health Interventions (2 papers) and Maternal Mental Health During Pregnancy and Postpartum (2 papers). Maja Laursen collaborates with scholars based in Denmark, United Kingdom and United States. Maja Laursen's co-authors include Morten Schmidt, Søren Friis, Jesper Hallas, Christoffer Johansen, Jens Sundbøll, Øjvind Lidegaard, Kasper Adelborg, Erik Lerkevang Grove, Annette Wind Olesen and Jacob Hjelmborg and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, International Journal of Epidemiology and Heart.

In The Last Decade

Maja Laursen

9 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maja Laursen Denmark	7	84	79	59	49	32	9	274
Laura Pazzagli Sweden	10	69 0.8×	60 0.8×	102 1.7×	29 0.6×	30 0.9×	27	386
Jacqueline M. Bos Netherlands	9	42 0.5×	70 0.9×	35 0.6×	54 1.1×	34 1.1×	16	276
Ali Alharbi Saudi Arabia	10	81 1.0×	55 0.7×	51 0.9×	54 1.1×	48 1.5×	29	404
Louise Pealing United Kingdom	11	61 0.7×	130 1.6×	126 2.1×	60 1.2×	55 1.7×	17	348
R Deepa India	12	96 1.1×	64 0.8×	119 2.0×	30 0.6×	55 1.7×	41	393
Matteo Monzio Compagnoni Italy	10	36 0.4×	63 0.8×	29 0.5×	76 1.6×	34 1.1×	31	313
Saima Siddiqui Pakistan	10	49 0.6×	62 0.8×	44 0.7×	123 2.5×	53 1.7×	17	341
Chieko Kimata United States	11	55 0.7×	48 0.6×	36 0.6×	111 2.3×	63 2.0×	30	392
Clémence Grave France	11	57 0.7×	67 0.8×	64 1.1×	164 3.3×	77 2.4×	58	424
Mykola Khalangot Ukraine	11	101 1.2×	164 2.1×	56 0.9×	56 1.1×	72 2.3×	34	492

Countries citing papers authored by Maja Laursen

Since Specialization

Citations

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

Fields of papers citing papers by Maja Laursen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Laursen

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

All Works

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9 of 9 papers shown

Laursen, Maja, et al.. (2019). Comparison of electronic self‐reported prescription medication use during pregnancy with the national prescription register in Denmark. Pharmacoepidemiology and Drug Safety. 29(3). 328–336. 8 indexed citations

Schmidt, Morten, Jesper Hallas, Maja Laursen, & Søren Friis. (2016). Data Resource Profile: Danish online drug use statistics (MEDSTAT). International Journal of Epidemiology. 45(5). 1401–1402g. 100 indexed citations

Richardson, Jonathan L., Sally Stephens, Simon H. L. Thomas, et al.. (2016). An International Study of the Ability and Cost-Effectiveness of Advertising Methods to Facilitate Study Participant Self-Enrolment Into a Pilot Pharmacovigilance Study During Early Pregnancy. JMIR Public Health and Surveillance. 2(1). e13–e13. 4 indexed citations

Adelborg, Kasper, Erik Lerkevang Grove, Jens Sundbøll, Maja Laursen, & Morten Schmidt. (2016). Sixteen-year nationwide trends in antithrombotic drug use in Denmark and its correlation with landmark studies. Heart. 102(23). 1883–1889. 42 indexed citations

Kuhn, Katrin Gaardbo, Maja Laursen, Anette M. Hammerum, & Robert Skov. (2016). High consumption of tetracyclines for acne treatment among young Danish adults. Infectious Diseases. 48(11-12). 808–812. 4 indexed citations

Dreyer, Nancy A, Shahrul Mt‐Isa, Jonathan L. Richardson, et al.. (2015). Direct-to-Patient Research: Piloting a New Approach to Understanding Drug Safety During Pregnancy. JMIR Public Health and Surveillance. 1(2). e22–e22. 24 indexed citations

Laursen, Maja, et al.. (2012). Oral contraception in Denmark 1998–2010. Acta Obstetricia Et Gynecologica Scandinavica. 91(7). 810–815. 24 indexed citations

Laursen, Maja, et al.. (2009). Fear of Childbirth: Predictors and Temporal Changes Among Nulliparous Women in the Danish National Birth Cohort. Obstetric Anesthesia Digest. 29(2). 64–65. 28 indexed citations

Laursen, Maja, Camilla Bille, Annette Wind Olesen, et al.. (2004). Genetic influence on prolonged gestation: A population-based Danish twin study. American Journal of Obstetrics and Gynecology. 190(2). 489–494. 40 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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