Dace Ruklisa

7 papers and 46 indexed citations i.

About

Dace Ruklisa is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Dace Ruklisa has authored 7 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Dace Ruklisa’s work include Cutaneous Melanoma Detection and Management (3 papers), Gene Regulatory Network Analysis (3 papers) and Bioinformatics and Genomic Networks (2 papers). Dace Ruklisa is often cited by papers focused on Cutaneous Melanoma Detection and Management (3 papers), Gene Regulatory Network Analysis (3 papers) and Bioinformatics and Genomic Networks (2 papers). Dace Ruklisa collaborates with scholars based in United Kingdom, Latvia and Australia. Dace Ruklisa's co-authors include Alvis Brāzma, Juris Vīksna, James S. Ware, Stuart A. Cook, Roddy Walsh, David J. Balding, Dace Pjanova, Ada Azaryan, Alexander Rivosh and Thomas Schlitt and has published in prestigious journals such as Gene, BMC Bioinformatics and Genome Medicine.

In The Last Decade

Co-authorship network of co-authors of Dace Ruklisa i

Fields of papers citing papers by Dace Ruklisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dace Ruklisa

Since Specialization
Citations

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

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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