Jon Hausken
Impact in
- Reproductive Medicine top 2%
- Reproductive Health and Technologies
- Ovarian function and disorders
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- Assisted Reproductive Technology and Twin Pregnancy
- Prenatal Screening and Diagnostics
Papers in
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- Assisted Reproductive Technology and Twin Pregnancy 6
- Prenatal Screening and Diagnostics 4
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- Ovarian function and disorders 4
- Reproductive Health and Technologies 3
- Endometriosis Research and Treatment 1
- Co-authors
- Barbara Jablonowska (3 shared papers)Anja Pinborg (3 shared papers)Christina Bergh (3 shared papers)Annika Strandell (2 shared papers)Torbjörn Hillensjø (1 shared paper)Kersti Lundin (2 shared papers)Thorir Hardarson (1 shared paper)Svend Lindenberg (2 shared papers)
In The Last Decade
Jon Hausken
9 papers receiving 612 citations
Peers
Comparison fields: 5 of 40
- Reproductive Medicine 431
- Pediatrics, Perinatology and Child Health 558
- Public Health, Environmental and Occupational Health 293
- Obstetrics and Gynecology 28
- Demography 31
Countries citing papers authored by Jon Hausken
This map shows the geographic impact of Jon Hausken'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 Jon Hausken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Hausken more than expected).
Fields of papers citing papers by Jon Hausken
This network shows the impact of papers produced by Jon Hausken. 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 Jon Hausken. The network helps show where Jon Hausken may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Hausken, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 424 | |
| 2 | 2005 | 83 | |
| 3 | 2007 | 45 | |
| 4 | 2005 | 42 | |
| 5 | 2020 | 23 | |
| 6 | 2010 | 9 | |
| 7 | 2020 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2010 | 2 |
About Jon Hausken
Jon Hausken is a scholar working on Pediatrics, Perinatology and Child Health, Reproductive Medicine, Public Health, Environmental and Occupational Health, Surgery and Clinical Biochemistry, having authored 9 papers that have together received 641 indexed citations. Recurring topics across this work include Assisted Reproductive Technology and Twin Pregnancy (6 papers), Prenatal Screening and Diagnostics (4 papers), Reproductive Biology and Fertility (4 papers), Ovarian function and disorders (4 papers), Reproductive Health and Technologies (3 papers), Endometriosis Research and Treatment (1 paper), Metabolism and Genetic Disorders (1 paper) and Renal Transplantation Outcomes and Treatments (1 paper). The work is most often cited by research in Reproductive Medicine (431 citations), Pediatrics, Perinatology and Child Health (558 citations), Public Health, Environmental and Occupational Health (293 citations), Obstetrics and Gynecology (28 citations) and Demography (31 citations). Jon Hausken has collaborated with scholars based in Norway, Sweden and Denmark. Frequent co-authors include Barbara Jablonowska, Anja Pinborg, Christina Bergh, Annika Strandell, Torbjörn Hillensjø, Kersti Lundin, Thorir Hardarson, Svend Lindenberg, Björn Petersen and Ritsa Storeng. Their work appears in journals such as Human Reproduction, PLoS ONE, Acta Obstetricia Et Gynecologica Scandinavica, Obstetrical & Gynecological Survey and New England Journal of Medicine.
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.