Suvi Aivio

13 total papers · 774 total citations
10 papers, 536 citations indexed

About

Suvi Aivio is a scholar working on Molecular Biology, Ecology and Surgery. According to data from OpenAlex, Suvi Aivio has authored 10 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Ecology and 1 paper in Surgery. Recurrent topics in Suvi Aivio's work include CRISPR and Genetic Engineering (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Mitochondrial Function and Pathology (3 papers). Suvi Aivio is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Mitochondrial Function and Pathology (3 papers). Suvi Aivio collaborates with scholars based in Spain, United States and United Kingdom. Suvi Aivio's co-authors include Alexander P. Nesmith, Olivier Pourquié, Jérome Chal, Bénédicte Gobert, Ziad Al Tanoury, Aurore Hick, Kevin Kit Parker, Thomas Cherrier, Cenk Sumen and Riitta Suuronen and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Suvi Aivio

10 papers receiving 528 citations

Author Peers

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

Author						Papers	Cites
Suvi Aivio	457	132	120	70	59	10	536
Karin Gertow	473 1.0×	134 1.0×	133 1.1×	47 0.7×	40 0.7×	12	541
Catharina Ellerström	472 1.0×	107 0.8×	137 1.1×	54 0.8×	69 1.2×	12	613
Katharina Drews	440 1.0×	103 0.8×	53 0.4×	36 0.5×	52 0.9×	11	609
Abhishek Saini	332 0.7×	115 0.9×	103 0.9×	22 0.3×	33 0.6×	12	482
William G. Bernard	430 0.9×	219 1.7×	81 0.7×	37 0.5×	89 1.5×	15	615
Pegah Jamshidi	471 1.0×	97 0.7×	132 1.1×	22 0.3×	73 1.2×	10	580
Beatrice Xuan Ho	318 0.7×	118 0.9×	121 1.0×	19 0.3×	42 0.7×	13	516
Kazunori Sunadome	357 0.8×	84 0.6×	37 0.3×	57 0.8×	56 0.9×	12	544
Laureen Jacquet	361 0.8×	96 0.7×	102 0.8×	33 0.5×	40 0.7×	13	524
Heng Liang Tan	457 1.0×	121 0.9×	175 1.5×	24 0.3×	52 0.9×	14	549

Countries citing papers authored by Suvi Aivio

Since Specialization

Citations

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

Fields of papers citing papers by Suvi Aivio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suvi Aivio

This figure shows the co-authorship network connecting the top 25 collaborators of Suvi Aivio. A scholar is included among the top collaborators of Suvi Aivio 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 Aivio. Suvi Aivio 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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