Marjatta Pohja

2.6k total citations · 1 hit paper
10 papers, 1.9k citations indexed

About

Marjatta Pohja is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Marjatta Pohja has authored 10 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 4 papers in Neurology and 3 papers in Cognitive Neuroscience. Recurrent topics in Marjatta Pohja's work include Neuroscience and Neural Engineering (4 papers), Neurological disorders and treatments (3 papers) and Muscle activation and electromyography studies (3 papers). Marjatta Pohja is often cited by papers focused on Neuroscience and Neural Engineering (4 papers), Neurological disorders and treatments (3 papers) and Muscle activation and electromyography studies (3 papers). Marjatta Pohja collaborates with scholars based in Finland, Netherlands and Czechia. Marjatta Pohja's co-authors include Kari Murros, Lars Paulín, Pedro A. B. Pereira, Seppo Kaakkola, Eero Pekkonen, Johanna Eerola‐Rautio, Velma T. E. Aho, Elena Haapaniemi, Petri Auvinen and Filip Scheperjans and has published in prestigious journals such as NeuroImage, Movement Disorders and Neuroreport.

In The Last Decade

Marjatta Pohja

10 papers receiving 1.9k citations

Hit Papers

Gut microbiota are related to Parkinson's disease and cli... 2014 2026 2018 2022 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marjatta Pohja Finland 8 878 646 398 383 302 10 1.9k
Jörg Spiegel Germany 20 777 0.9× 1.5k 2.3× 566 1.4× 184 0.5× 214 0.7× 53 2.6k
Paula Perez‐Pardo Netherlands 17 607 0.7× 630 1.0× 298 0.7× 129 0.3× 185 0.6× 27 1.4k
Silke Appel‐Cresswell Canada 18 638 0.7× 1.9k 2.9× 537 1.3× 332 0.9× 147 0.5× 46 2.8k
Kenichi Kashihara Japan 27 769 0.9× 1.2k 1.9× 360 0.9× 193 0.5× 100 0.3× 123 2.6k
Agata Mulak Poland 18 905 1.0× 292 0.5× 867 2.2× 73 0.2× 356 1.2× 56 2.4k
Minjee Kook United States 7 311 0.4× 617 1.0× 257 0.6× 111 0.3× 82 0.3× 19 1.1k
Erica Cassani Italy 21 536 0.6× 1.1k 1.6× 421 1.1× 42 0.1× 136 0.5× 27 1.8k
Taren Thron United States 4 1.7k 1.9× 933 1.4× 867 2.2× 43 0.1× 557 1.8× 6 3.0k
Lívia H. Morais Brazil 13 973 1.1× 173 0.3× 486 1.2× 78 0.2× 404 1.3× 19 1.7k
Shaoqing Xu China 17 714 0.8× 516 0.8× 310 0.8× 35 0.1× 200 0.7× 27 1.4k

Countries citing papers authored by Marjatta Pohja

Since Specialization
Citations

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

Fields of papers citing papers by Marjatta Pohja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marjatta Pohja

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

All Works

10 of 10 papers shown
1.
Pohja, Marjatta, et al.. (2024). Plasma antioxidant potential measured by total radical trapping antioxidant parameter in a cohort of multiple sclerosis patients. Brain and Behavior. 14(1). e3377–e3377. 6 indexed citations
2.
Murros, Kari, Elena Macías‐Sánchez, Damien Faivre, et al.. (2019). Magnetic Nanoparticles in Human Cervical Skin. Frontiers in Medicine. 6. 123–123. 17 indexed citations
3.
Scheperjans, Filip, Velma T. E. Aho, Pedro A. B. Pereira, et al.. (2014). Gut microbiota are related to Parkinson's disease and clinical phenotype. Movement Disorders. 30(3). 350–358. 1422 indexed citations breakdown →
4.
Pohja, Marjatta, et al.. (2011). Uric acid and cognition in Parkinson’s disease: A follow-up study. Parkinsonism & Related Disorders. 17(5). 333–337. 28 indexed citations
5.
Pohja, Marjatta, S. Salenius, & Riitta Hari. (2005). Reproducibility of cortex–muscle coherence. NeuroImage. 26(3). 764–770. 46 indexed citations
6.
Jensen, Ole, Pranay Goel, Nancy Kopell, et al.. (2005). On the human sensorimotor-cortex beta rhythm: Sources and modeling. NeuroImage. 26(2). 347–355. 318 indexed citations
7.
Stančák, Andrej, Tuukka T. Raij, Marjatta Pohja, Nina Forss, & Riitta Hari. (2005). Oscillatory motor cortex–muscle coupling during painful laser and nonpainful tactile stimulation. NeuroImage. 26(3). 793–800. 15 indexed citations
8.
Pohja, Marjatta & S. Salenius. (2003). Modulation of cortex-muscle oscillatory interaction by ischaemia-induced deafferentation. Neuroreport. 14(3). 321–324. 52 indexed citations
9.
Pohja, Marjatta, S. Salenius, & Riitta Hari. (2002). Cortico–muscular coupling in a human subject with mirror movements – a magnetoencephalographic study. Neuroscience Letters. 327(3). 185–188. 18 indexed citations
10.
Pohja, Marjatta, et al.. (2002). On the physiological basis of the 15-30 Hz motor-cortex rhythm. 313–315. 4 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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