Una Ørvim Sølvik
Impact in
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- Meta-analysis and systematic reviews
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
Papers in ⓘ
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- Meta-analysis and systematic reviews 6
- Reliability and Agreement in Measurement 5
- Co-authors
- Sverre Sandberg (25 shared papers)Thomas Røraas (7 shared papers)Anne Stavelin (10 shared papers)Reidun Lisbet Skeide Kjome (8 shared papers)Niels Jonker (4 shared papers)Ferruccio Ceriotti (4 shared papers)Abdurrahman Coşkun (4 shared papers)Jorge Díaz–Garzón (4 shared papers)
- Journals
- Clinical Chemistry (7 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (5 papers)Scandinavian Journal of Clinical and Laboratory Investigation (3 papers)Thrombosis and Haemostasis (2 papers)PLoS ONE (1 paper)
- Partner nations
- NorwayUnited KingdomItaly
In The Last Decade
Una Ørvim Sølvik
30 papers receiving 489 citations
Peers
Comparison fields: 5 of 81
- Statistics, Probability and Uncertainty 128
- Statistics and Probability 82
- Physiology 250
- Family Practice 19
- Internal Medicine 28
Countries citing papers authored by Una Ørvim Sølvik
This map shows the geographic impact of Una Ørvim Sølvik'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 Una Ørvim Sølvik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Una Ørvim Sølvik more than expected).
Fields of papers citing papers by Una Ørvim Sølvik
This network shows the impact of papers produced by Una Ørvim Sølvik. 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 Una Ørvim Sølvik. The network helps show where Una Ørvim Sølvik may publish in the future.
Co-authors
The 25 scholars most cited alongside Una Ørvim Sølvik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 85 | |
| 2 | 2018 | 71 | |
| 3 | 2017 | 61 | |
| 4 | 2017 | 49 | |
| 5 | 2013 | 40 | |
| 6 | 2014 | 36 | |
| 7 | 2012 | 20 | |
| 8 | 2016 | 16 | |
| 9 | 2006 | 14 | |
| 10 | 2010 | 14 | |
| 11 | 2018 | 12 | |
| 12 | 2019 | 10 | |
| 13 | 2012 | 9 | |
| 14 | 2014 | 8 | |
| 15 | 2019 | 8 | |
| 16 | 2002 | 7 | |
| 17 | 2017 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2020 | 5 |
About Una Ørvim Sølvik
Una Ørvim Sølvik is a scholar working on Statistics, Probability and Uncertainty, Family Practice, Statistics and Probability, Endocrinology, Diabetes and Metabolism and Internal Medicine, having authored 32 papers that have together received 516 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (13 papers), Diabetes Management and Research (7 papers), Diabetes Treatment and Management (6 papers), Meta-analysis and systematic reviews (6 papers), Atrial Fibrillation Management and Outcomes (5 papers), Statistical Methods in Clinical Trials (5 papers), Reliability and Agreement in Measurement (5 papers) and Diabetes Management and Education (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (128 citations), Statistics and Probability (82 citations), Physiology (250 citations), Family Practice (19 citations) and Internal Medicine (28 citations). Una Ørvim Sølvik has collaborated with scholars based in Norway, United Kingdom and Italy. Frequent co-authors include Sverre Sandberg, Thomas Røraas, Anne Stavelin, Reidun Lisbet Skeide Kjome, Niels Jonker, Ferruccio Ceriotti, Abdurrahman Coşkun, Jorge Díaz–Garzón, Francesca Tosato and Mustafa Serteser. Their work appears in journals such as Clinical Chemistry, Clinical Chemistry and Laboratory Medicine (CCLM), Scandinavian Journal of Clinical and Laboratory Investigation, Thrombosis and Haemostasis and PLoS ONE.
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.