Maija Siitonen

12 total papers · 814 total citations
6 papers, 585 citations indexed

About

Maija Siitonen is a scholar working on Neurology, Immunology and Allergy and Molecular Biology. According to data from OpenAlex, Maija Siitonen has authored 6 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 3 papers in Immunology and Allergy and 2 papers in Molecular Biology. Recurrent topics in Maija Siitonen's work include Cell Adhesion Molecules Research (3 papers), Cerebrovascular and genetic disorders (3 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). Maija Siitonen is often cited by papers focused on Cell Adhesion Molecules Research (3 papers), Cerebrovascular and genetic disorders (3 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). Maija Siitonen collaborates with scholars based in Finland, Sweden and United States. Maija Siitonen's co-authors include Minna Pöyhönen, Petra Pasanen, Liisa Myllykangas, Anders Paetau, Pentti J. Tienari, Seppo Kaakkola, Jukka Lyytinen, Anna Raunio, Matti Viitanen and Hannu Kalimo and has published in prestigious journals such as Journal of Cerebral Blood Flow & Metabolism, Neurobiology of Aging and Journal of Alzheimer s Disease.

In The Last Decade

Maija Siitonen

6 papers receiving 577 citations

Hit Papers

A novel α-synuclein mutat... 2014 2026 2018 2022 2014 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Maija Siitonen 519 181 172 139 120 6 585
Petra Pasanen 529 1.0× 185 1.0× 184 1.1× 146 1.1× 138 1.1× 8 610
Yi Zhang 456 0.9× 115 0.6× 305 1.8× 94 0.7× 315 2.6× 10 687
Thamer Alkhairallah 463 0.9× 52 0.3× 194 1.1× 138 1.0× 81 0.7× 10 550
Ingrid M. Hegeman 320 0.6× 36 0.2× 55 0.3× 49 0.4× 78 0.7× 9 604
Ralph Oehlmann 310 0.6× 57 0.3× 237 1.4× 163 1.2× 215 1.8× 10 582
Norio Ogawa 232 0.4× 95 0.5× 203 1.2× 106 0.8× 160 1.3× 12 581
Claúdia Lopes 78 0.2× 223 1.2× 253 1.5× 61 0.4× 213 1.8× 11 614
Philippe Pals 373 0.7× 139 0.8× 191 1.1× 188 1.4× 205 1.7× 15 569
Mathilde Pruvost 221 0.4× 141 0.8× 169 1.0× 245 1.8× 174 1.4× 13 653
Malavika Subash 251 0.5× 373 2.1× 162 0.9× 227 1.6× 134 1.1× 7 697

Countries citing papers authored by Maija Siitonen

Since Specialization
Citations

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

Fields of papers citing papers by Maija Siitonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maija Siitonen

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