Unnur Thorsteindottir

2.8k total citations
2 papers, 336 citations indexed

About

Unnur Thorsteindottir is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Unnur Thorsteindottir has authored 2 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Genetics and 0 papers in Infectious Diseases. Recurrent topics in Unnur Thorsteindottir's work include Epigenetics and DNA Methylation (2 papers), Genetic Syndromes and Imprinting (1 paper) and Kruppel-like factors research (1 paper). Unnur Thorsteindottir is often cited by papers focused on Epigenetics and DNA Methylation (2 papers), Genetic Syndromes and Imprinting (1 paper) and Kruppel-like factors research (1 paper). Unnur Thorsteindottir collaborates with scholars based in United Kingdom, Iceland and Switzerland. Unnur Thorsteindottir's co-authors include Kāri Stefánsson, Guðmar Þorleifsson, Åsa K. Hedman, Alexandra C. Nica, Augustine Kong, So–Youn Shin, Emmanouil T. Dermitzakis, Mark I. McCarthy, Kourosh R. Ahmadi and Nicole Soranzo and has published in prestigious journals such as Nature Genetics.

In The Last Decade

Unnur Thorsteindottir

2 papers receiving 319 citations

Peers

Unnur Thorsteindottir
V J Buckle United Kingdom
Marijn F. Stokman Netherlands
Maxine Tevendale United Kingdom
Philip L. Beales United Kingdom
Jennifer McDaid United Kingdom
Rachel Brixey United Kingdom
V J Buckle United Kingdom
Unnur Thorsteindottir
Citations per year, relative to Unnur Thorsteindottir Unnur Thorsteindottir (= 1×) peers V J Buckle

Countries citing papers authored by Unnur Thorsteindottir

Since Specialization
Citations

This map shows the geographic impact of Unnur Thorsteindottir'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 Unnur Thorsteindottir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Unnur Thorsteindottir more than expected).

Fields of papers citing papers by Unnur Thorsteindottir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Unnur Thorsteindottir. 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 Unnur Thorsteindottir. The network helps show where Unnur Thorsteindottir may publish in the future.

Co-authorship network of co-authors of Unnur Thorsteindottir

This figure shows the co-authorship network connecting the top 25 collaborators of Unnur Thorsteindottir. A scholar is included among the top collaborators of Unnur Thorsteindottir 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 Unnur Thorsteindottir. Unnur Thorsteindottir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Wright, Daniel J., Felix R. Day, Nicola D. Kerrison, et al.. (2017). Genetic variants associated with mosaic Y chromosome loss highlight cell cycle genes and overlap with cancer susceptibility. Nature Genetics. 49(5). 674–679. 118 indexed citations
2.
Grundberg, Elin, Kerrin S. Small, Kourosh R. Ahmadi, et al.. (2011). Identification of an imprinted master trans regulator at the KLF14 locus related to multiple metabolic phenotypes. Nature Genetics. 43(6). 561–564. 218 indexed citations

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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