Astrid Lægreid
- Molecular Biology top 5%
- Artificial Intelligence top 5%
- Cancer Research top 5%
- Immunology top 10%
- Computational Theory and Mathematics top 2%
- Co-authors
- Jan KomorowskiEivind HovigTor‐Kristian JenssenLiv ThommesenTor-Kristian JenssenTorgeir R. HvidstenArne K. SandvikMartin Kuiper
- Topics
- Bioinformatics and Genomic Networks (21 papers)Gene expression and cancer classification (17 papers)Biomedical Text Mining and Ontologies (15 papers)
- Partner nations
- NorwaySwedenUnited States
In The Last Decade
Astrid Lægreid
74 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 2.1k
- Artificial Intelligence 341
- Cancer Research 311
- Immunology 307
- Computational Theory and Mathematics 268
Countries citing papers authored by Astrid Lægreid
This map shows the geographic impact of Astrid Lægreid'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 Astrid Lægreid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Astrid Lægreid more than expected).
Fields of papers citing papers by Astrid Lægreid
This network shows the impact of papers produced by Astrid Lægreid. 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 Astrid Lægreid. The network helps show where Astrid Lægreid may publish in the future.
Co-authorship network of co-authors of Astrid Lægreid
This figure shows the co-authorship network connecting the top 25 collaborators of Astrid Lægreid. A scholar is included among the top collaborators of Astrid Lægreid 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 Astrid Lægreid. Astrid Lægreid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 91 | |
| 3 | 20 | |
| 4 | 31 | |
| 5 | An Example of Multimodal Biological Knowledge Representation. | 1 |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 44 | |
| 9 | 6 | |
| 10 | 41 | |
| 11 | 19 | |
| 12 | 36 | |
| 13 | 8 | |
| 14 | 3 | |
| 15 | 19 | |
| 16 | Knowledge Intensive Case Based Support for Automated Explanation of Biological Phenomena. | 1 |
| 17 | 27 | |
| 18 | 38 | |
| 19 | 17 | |
| 20 | 25 |
About Astrid Lægreid
Astrid Lægreid is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research, having authored 75 papers that have together received 3.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (21 papers), Gene expression and cancer classification (17 papers) and Biomedical Text Mining and Ontologies (15 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Cancer Research (311 citations) and Computational Theory and Mathematics (268 citations). Astrid Lægreid has collaborated with scholars based in Norway, Sweden and United States. Frequent co-authors include Jan Komorowski, Eivind Hovig, Tor‐Kristian Jenssen, Liv Thommesen, Tor-Kristian Jenssen, Torgeir R. Hvidsten, Arne K. Sandvik, Martin Kuiper, Simen Myhre and Anne‐Brit Otnæss. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.
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.