Una Ørvim Sølvik

31 papers receiving 503 citations

Peers

Una Ørvim Sølvik
Comparison fields: 5 of 70
  • Statistics, Probability and Uncertainty 81
  • Physiology 184
  • Statistics and Probability 52
  • Geriatrics and Gerontology 19
  • Family Practice 9
Replace Marit Sverresdotter Sylte with:
Marit Sverresdotter Sylte Norway
Henk M. J. Goldschmidt Netherlands
Gunn B.B. Kristensen Denmark
Farhad Arzideh Germany
Carmen Biosca Spain
Alfonso Varela‐Román Spain
Frits R. Rosendaal Netherlands
The SOLVD Investigators United States
Udo Steigerwald Germany
Nasrin Mansournia Iran
Una Ørvim Sølvik relative to Marit Sverresdotter Sylte Norway Marit Sverresdotter Sylte's profile →
Citations per field
00.5×11.5×
Marit Sverresdotter Sylte · 1×
Citations per year

Countries citing papers authored by Una Ørvim Sølvik

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Una Ørvim Sølvik Line = papers co-authored together Una Ørvim Sølvik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201687
2 201873
3 201761
4 201749
5 201340
6 201436
7 201221
8 201616
9 201014
10 200614
11 201812
12 201910
13 20129
14 20198
15 20188
16 20148
17 20177
18 20027
19 20206
20 20206

About Una Ørvim Sølvik

Una Ørvim Sølvik is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Surgery, Geriatrics and Gerontology and Statistics, Probability and Uncertainty, having authored 32 papers that have together received 526 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (9 papers), Diabetes Management and Research (2 papers), Xenotransplantation and immune response (2 papers), Pharmaceutical Practices and Patient Outcomes (2 papers), Reliability and Agreement in Measurement (2 papers), Folate and B Vitamins Research (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (81 citations), Physiology (184 citations), Statistics and Probability (52 citations), Geriatrics and Gerontology (19 citations) and Family Practice (9 citations). Una Ørvim Sølvik has collaborated with scholars based in Norway, United Kingdom and Türkiye. Frequent co-authors include Sverre Sandberg, Thomas Røraas, Anne Stavelin, Reidun Lisbet Skeide Kjome, Abdurrahman Coşkun, İbrahim Ünsal, Francesca Tosato, William A. Bartlett, Ferruccio Ceriotti 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 Diabetic 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.

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