Pernille Svalastoga
About
In The Last Decade
Pernille Svalastoga
4 papers receiving 30 citations
Peers
Comparison fields: 5 of 23
- Molecular Biology 11
- Genetics 11
- Surgery 8
- Cellular and Molecular Neuroscience 6
- Endocrinology, Diabetes and Metabolism 6
Countries citing papers authored by Pernille Svalastoga
This map shows the geographic impact of Pernille Svalastoga'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 Pernille Svalastoga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pernille Svalastoga more than expected).
Fields of papers citing papers by Pernille Svalastoga
This network shows the impact of papers produced by Pernille Svalastoga. 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 Pernille Svalastoga. The network helps show where Pernille Svalastoga may publish in the future.
Co-authorship network of co-authors of Pernille Svalastoga
This figure shows the co-authorship network connecting the top 25 collaborators of Pernille Svalastoga. A scholar is included among the top collaborators of Pernille Svalastoga 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 Pernille Svalastoga. Pernille Svalastoga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 2 | |
| 4 | 13 |
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.