Mette Langaas
- Molecular Biology
- Genetics
- Pediatrics, Perinatology and Child Health top 10%
- Statistics and Probability top 2%
- Obstetrics and Gynecology top 5%
- Co-authors
- Egil FerkingstadBo Henry LindqvistAstrid LægreidRigmor AustgulenStian LydersenAnja ByeIrina P. EideArne K. Sandvik
- Topics
- Genetic Associations and Epidemiology (10 papers)Gene expression and cancer classification (8 papers)Pregnancy and preeclampsia studies (5 papers)
- Cited by
- Statistics and ProbabilityObstetrics and GynecologyPediatrics, Perinatology and Child Health
- Partner nations
- NorwayUnited StatesSweden
In The Last Decade
Mette Langaas
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 139
- Molecular Biology 446
- Genetics 152
- Pediatrics, Perinatology and Child Health 147
- Statistics and Probability 147
- Obstetrics and Gynecology 141
Countries citing papers authored by Mette Langaas
This map shows the geographic impact of Mette Langaas'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 Mette Langaas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mette Langaas more than expected).
Fields of papers citing papers by Mette Langaas
This network shows the impact of papers produced by Mette Langaas. 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 Mette Langaas. The network helps show where Mette Langaas may publish in the future.
Co-authorship network of co-authors of Mette Langaas
This figure shows the co-authorship network connecting the top 25 collaborators of Mette Langaas. A scholar is included among the top collaborators of Mette Langaas 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 Mette Langaas. Mette Langaas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | Computationally efficient familywise error rate control in genome-wide association studies using score tests for generalized linear models | 2 |
| 7 | 7 | |
| 8 | Læringsressurser i grunnutdanningen i matematikk - kvalitet, tilgjengelighet og differensiering | 0 |
| 9 | Improving power of genetic association studies by extreme phenotype sampling: a review and some new results | 6 |
| 10 | Statistical Analysis for High-Dimensional Data: The Abel Symposium 2014 | 3 |
| 11 | 33 | |
| 12 | 19 | |
| 13 | 30 | |
| 14 | 6 | |
| 15 | 43 | |
| 16 | 45 | |
| 17 | 8 | |
| 18 | 24 | |
| 19 | 32 | |
| 20 | 15 |
About Mette Langaas
Mette Langaas is a scholar working on Statistics and Probability, Obstetrics and Gynecology and Genetics, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), Gene expression and cancer classification (8 papers) and Pregnancy and preeclampsia studies (5 papers). The work is most often cited by research in Statistics and Probability (147 citations), Obstetrics and Gynecology (141 citations) and Pediatrics, Perinatology and Child Health (147 citations). Mette Langaas has collaborated with scholars based in Norway, United States and Sweden. Frequent co-authors include Egil Ferkingstad, Bo Henry Lindqvist, Astrid Lægreid, Rigmor Austgulen, Stian Lydersen, Anja Bye, Irina P. Eide, Arne K. Sandvik, Valdemar Grill and Ingrid Løvold Mostad. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Biometrics.
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.