Maria Aatonen

1.4k total citations
9 papers, 1.1k citations indexed

About

Maria Aatonen is a scholar working on Molecular Biology, Cancer Research and Immunology and Allergy. According to data from OpenAlex, Maria Aatonen has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Immunology and Allergy. Recurrent topics in Maria Aatonen's work include Extracellular vesicles in disease (5 papers), Cell Adhesion Molecules Research (3 papers) and MicroRNA in disease regulation (3 papers). Maria Aatonen is often cited by papers focused on Extracellular vesicles in disease (5 papers), Cell Adhesion Molecules Research (3 papers) and MicroRNA in disease regulation (3 papers). Maria Aatonen collaborates with scholars based in Finland, Sweden and Estonia. Maria Aatonen's co-authors include Pia Siljander, Mikaela Grönholm, Saara Laitinen, Tuula A. Nyman, Tiina Öhman, Eero Mervaala, Esko Kankuri, Carl G. Gahmberg, Maarit Takatalo and Mati Karelson and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Maria Aatonen

9 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maria Aatonen Finland 9 850 372 159 141 138 9 1.1k
Nathalie Magnus Canada 16 873 1.0× 524 1.4× 151 0.9× 133 0.9× 209 1.5× 19 1.2k
Cristiana Spinelli Canada 15 1.0k 1.2× 688 1.8× 126 0.8× 96 0.7× 20 0.1× 15 1.1k
Michael Kuehl United States 18 1.1k 1.2× 382 1.0× 305 1.9× 50 0.4× 519 3.8× 46 1.8k
Dan Georgess United States 11 427 0.5× 91 0.2× 168 1.1× 92 0.7× 44 0.3× 16 1.0k
Laurence Maggiorella France 11 340 0.4× 153 0.4× 73 0.5× 35 0.2× 105 0.8× 17 793
Roger Mouawad France 21 523 0.6× 177 0.5× 208 1.3× 44 0.3× 65 0.5× 57 968
Bernd Muehlenweg Germany 14 232 0.3× 294 0.8× 42 0.3× 76 0.5× 123 0.9× 19 555
Xiaojian Zhu China 18 535 0.6× 220 0.6× 163 1.0× 21 0.1× 162 1.2× 68 959
Maria C. Melander Denmark 13 175 0.2× 201 0.5× 102 0.6× 129 0.9× 40 0.3× 18 584
Zhaodong Zhong China 13 430 0.5× 248 0.7× 153 1.0× 16 0.1× 185 1.3× 49 800

Countries citing papers authored by Maria Aatonen

Since Specialization
Citations

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

Fields of papers citing papers by Maria Aatonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Aatonen

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

All Works

9 of 9 papers shown
1.
Selberg, Simona, Maria Aatonen, Pertti Koivisto, et al.. (2019). Discovery of Small Molecules that Activate RNA Methylation through Cooperative Binding to the METTL3-14-WTAP Complex Active Site. Cell Reports. 26(13). 3762–3771.e5. 150 indexed citations
2.
Puhka, Maija, Maarit Takatalo, Sami Valkonen, et al.. (2017). Metabolomic Profiling of Extracellular Vesicles and Alternative Normalization Methods Reveal Enriched Metabolites and Strategies to Study Prostate Cancer-Related Changes. Theranostics. 7(16). 3824–3841. 177 indexed citations
3.
Aatonen, Maria, Sami Valkonen, Anita N. Böing, et al.. (2016). Isolation of Platelet-Derived Extracellular Vesicles. Methods in molecular biology. 1545. 177–188. 25 indexed citations
4.
Aatonen, Maria, Tiina Öhman, Tuula A. Nyman, et al.. (2014). Isolation and characterization of platelet‐derived extracellular vesicles. Journal of Extracellular Vesicles. 3(1). 258 indexed citations
5.
Uotila, Liisa M., Maria Aatonen, & Carl G. Gahmberg. (2013). Integrin CD11c/CD18 α-Chain Phosphorylation Is Functionally Important. Journal of Biological Chemistry. 288(46). 33494–33499. 25 indexed citations
6.
Kilpinen, Lotta, Ulla Impola, Ilja Ritamo, et al.. (2013). Extracellular membrane vesicles from umbilical cord blood‐derived MSC protect against ischemic acute kidney injury, a feature that is lost after inflammatory conditioning. Journal of Extracellular Vesicles. 2(1). 127 indexed citations
7.
Aatonen, Maria, Mikaela Grönholm, & Pia Siljander. (2012). Platelet-Derived Microvesicles: Multitalented Participants in Intercellular Communication. Seminars in Thrombosis and Hemostasis. 38(1). 102–113. 154 indexed citations
8.
Grönholm, Mikaela, et al.. (2011). TCR-Induced Activation of LFA-1 Involves Signaling through Tiam1. The Journal of Immunology. 187(7). 3613–3619. 26 indexed citations
9.
Takala, Heikki, Susanna M. Nurmi, Maria Aatonen, et al.. (2008). β2 integrin phosphorylation on Thr758 acts as a molecular switch to regulate 14-3-3 and filamin binding. Blood. 112(5). 1853–1862. 137 indexed citations

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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