Suvi Taira

40 papers and 1.8k indexed citations i.

About

Suvi Taira is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Suvi Taira has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 15 papers in Molecular Biology and 13 papers in Genetics. Recurrent topics in Suvi Taira’s work include Plant Pathogenic Bacteria Studies (16 papers), Plant-Microbe Interactions and Immunity (13 papers) and Salmonella and Campylobacter epidemiology (12 papers). Suvi Taira is often cited by papers focused on Plant Pathogenic Bacteria Studies (16 papers), Plant-Microbe Interactions and Immunity (13 papers) and Salmonella and Campylobacter epidemiology (12 papers). Suvi Taira collaborates with scholars based in Finland, Australia and Germany. Suvi Taira's co-authors include Mikael Rhen, Michael Jeltsch, Vladimir Joukov, Kari Alitalo, Eola Kukk, Athina Lymboussaki, Arja Kaipainen, Martin Romantschuk, Elina Roine and Harri Savilahti and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Development.

In The Last Decade

Co-authorship network of co-authors of Suvi Taira i

Fields of papers citing papers by Suvi Taira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suvi Taira

Since Specialization
Citations

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