Suvi Sutela

27 papers and 491 indexed citations i.

About

Suvi Sutela is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Suvi Sutela has authored 27 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 10 papers in Molecular Biology and 10 papers in Endocrinology. Recurrent topics in Suvi Sutela’s work include Plant and Fungal Interactions Research (10 papers), Plant Virus Research Studies (8 papers) and Plant tissue culture and regeneration (6 papers). Suvi Sutela is often cited by papers focused on Plant and Fungal Interactions Research (10 papers), Plant Virus Research Studies (8 papers) and Plant tissue culture and regeneration (6 papers). Suvi Sutela collaborates with scholars based in Finland, Switzerland and United States. Suvi Sutela's co-authors include Eeva J. Vainio, Hely Häggman, Tytti Sarjala, Jaana Vuosku, Marta Vallino, Silvia Perotto, Mariangela Girlanda, Stefania Daghino, Marco Chiapello and Marco Forgia and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Suvi Sutela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suvi Sutela

Since Specialization
Citations

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