Mette Haase Moen
- Reproductive Medicine top 0.5%
- Obstetrics and Gynecology top 0.5%
- Immunology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Per MagnusBerit ScheiInger ØverlieArne HolteFlorence TrémollièresΙrene LambrinoudakiKarin Schenck‐GustafssonMarco Gambacciani
- Topics
- Endometriosis Research and Treatment (22 papers)Uterine Myomas and Treatments (15 papers)Estrogen and related hormone effects (9 papers)
In The Last Decade
Mette Haase Moen
64 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 98
- Reproductive Medicine 1.3k
- Obstetrics and Gynecology 984
- Immunology 450
- Endocrinology, Diabetes and Metabolism 400
- Public Health, Environmental and Occupational Health 378
Countries citing papers authored by Mette Haase Moen
This map shows the geographic impact of Mette Haase Moen'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 Haase Moen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mette Haase Moen more than expected).
Fields of papers citing papers by Mette Haase Moen
This network shows the impact of papers produced by Mette Haase Moen. 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 Haase Moen. The network helps show where Mette Haase Moen may publish in the future.
Co-authorship network of co-authors of Mette Haase Moen
This figure shows the co-authorship network connecting the top 25 collaborators of Mette Haase Moen. A scholar is included among the top collaborators of Mette Haase Moen 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 Haase Moen. Mette Haase Moen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 16 | |
| 3 | 87 | |
| 4 | 29 | |
| 5 | 10 | |
| 6 | 40 | |
| 7 | 7 | |
| 8 | 40 | |
| 9 | [Use of estrogen replacement therapy and alternative therapies among Norwegian women aged 50-69]. | 5 |
| 10 | Bruk av østrogen og alternativ behandling blant norske kvinner 50 – 69 år | 2 |
| 11 | Norske kvinners holdninger til bruk av østrogentilskudd | 1 |
| 12 | Ulik praksis ved hysterektomi | 1 |
| 13 | 216 | |
| 14 | 15 | |
| 15 | 182 | |
| 16 | 54 | |
| 17 | 16 | |
| 18 | 4 | |
| 19 | 60 | |
| 20 | 61 |
About Mette Haase Moen
Mette Haase Moen is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Endocrinology, Diabetes and Metabolism, having authored 65 papers that have together received 2.2k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (22 papers), Uterine Myomas and Treatments (15 papers) and Estrogen and related hormone effects (9 papers). The work is most often cited by research in Reproductive Medicine (1.3k citations), Obstetrics and Gynecology (984 citations) and Endocrinology, Diabetes and Metabolism (400 citations). Mette Haase Moen has collaborated with scholars based in Norway, Sweden and Denmark. Frequent co-authors include Per Magnus, Berit Schei, Inger Øverlie, Arne Holte, Florence Trémollières, Ιrene Lambrinoudaki, Karin Schenck‐Gustafsson, Marco Gambacciani, Serge Rozenberg and C. Tamer Erel. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Human Reproduction and Fertility and Sterility.
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.