Suvi Sutela

58 total papers · 1.1k total citations
28 papers, 525 citations indexed

About

Suvi Sutela is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Suvi Sutela has authored 28 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 22 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, Marco Forgia, Marta Vallino, Mariangela Girlanda, Marco Chiapello, Massimo Turina and Silvia Perotto and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Suvi Sutela

26 papers receiving 511 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Suvi Sutela 447 238 166 71 69 28 525
G. J. Griffin 461 1.0× 176 0.7× 64 0.4× 75 1.1× 194 2.8× 43 586
Angela Brunetti 470 1.1× 78 0.3× 222 1.3× 60 0.8× 106 1.5× 23 519
Guglielmo Lione 350 0.8× 152 0.6× 73 0.4× 123 1.7× 259 3.8× 38 472
Carmen Morales‐Rodríguez 403 0.9× 94 0.4× 114 0.7× 171 2.4× 274 4.0× 49 569
Susanne von Bargen 518 1.2× 177 0.7× 54 0.3× 32 0.5× 120 1.7× 52 559
Mojgan Rabiey 488 1.1× 55 0.2× 87 0.5× 120 1.7× 195 2.8× 25 578
C. Rubies‐Autonell 437 1.0× 99 0.4× 117 0.7× 23 0.3× 19 0.3× 38 512
Lucas A. Shuttleworth 282 0.6× 113 0.5× 173 1.0× 86 1.2× 301 4.4× 22 510
Gao Bi-da 432 1.0× 118 0.5× 181 1.1× 18 0.3× 58 0.8× 28 514
Rebecca L. McDougal 435 1.0× 37 0.2× 196 1.2× 94 1.3× 305 4.4× 46 548

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).

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.

Co-authorship network of co-authors of Suvi Sutela

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

All Works

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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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