Laila Launsø

52 total papers · 1.2k total citations
34 papers, 901 citations indexed

About

Laila Launsø is a scholar working on Complementary and alternative medicine, General Health Professions and Psychiatry and Mental health. According to data from OpenAlex, Laila Launsø has authored 34 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Complementary and alternative medicine, 6 papers in General Health Professions and 6 papers in Psychiatry and Mental health. Recurrent topics in Laila Launsø's work include Complementary and Alternative Medicine Studies (24 papers), Herbal Medicine Research Studies (7 papers) and Mental Health and Psychiatry (5 papers). Laila Launsø is often cited by papers focused on Complementary and Alternative Medicine Studies (24 papers), Herbal Medicine Research Studies (7 papers) and Mental Health and Psychiatry (5 papers). Laila Launsø collaborates with scholars based in Denmark, Norway and United States. Laila Launsø's co-authors include Vinjar Fønnebø, Torkel Falkenberg, Sameline Grimsgaard, Niels K. Rasmussen, Lasse Skovgaard, Marja J. Verhoef, Charlotte Baarts, Charlotte Paterson, Mikel Aickin and Hugh MacPherson and has published in prestigious journals such as Social Science & Medicine, BMC Medical Research Methodology and BMC Complementary and Alternative Medicine.

In The Last Decade

Laila Launsø

34 papers receiving 836 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Laila Launsø 683 177 164 126 93 34 901
Harald J. Hamre 608 0.9× 106 0.6× 243 1.5× 35 0.3× 188 2.0× 56 990
Arne Johan Norheim 586 0.9× 79 0.4× 144 0.9× 84 0.7× 128 1.4× 56 971
Scott Appel 457 0.7× 91 0.5× 125 0.8× 159 1.3× 33 0.4× 21 743
Tracy Gaudet 385 0.6× 219 1.2× 182 1.1× 45 0.4× 52 0.6× 18 802
Catherine Zollman 627 0.9× 65 0.4× 163 1.0× 125 1.0× 120 1.3× 17 829
C. Zollman 617 0.9× 81 0.5× 131 0.8× 207 1.6× 73 0.8× 12 884
Trine Stub 532 0.8× 137 0.8× 112 0.7× 112 0.9× 47 0.5× 68 863
Laura L. Loehrer 321 0.5× 122 0.7× 156 1.0× 84 0.7× 74 0.8× 26 830
Trish Dryden 444 0.7× 105 0.6× 91 0.6× 43 0.3× 99 1.1× 24 824
Erica McIntyre 333 0.5× 109 0.6× 95 0.6× 114 0.9× 25 0.3× 76 942

Countries citing papers authored by Laila Launsø

Since Specialization
Citations

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

Fields of papers citing papers by Laila Launsø

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laila Launsø

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

All Works

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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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