Mathias Toft

11.5k total citations
82 papers, 2.7k citations indexed

About

Mathias Toft is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mathias Toft has authored 82 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Neurology, 34 papers in Neurology and 22 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mathias Toft's work include Parkinson's Disease Mechanisms and Treatments (57 papers), Neurological diseases and metabolism (27 papers) and Neurological disorders and treatments (20 papers). Mathias Toft is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (57 papers), Neurological diseases and metabolism (27 papers) and Neurological disorders and treatments (20 papers). Mathias Toft collaborates with scholars based in Norway, United States and Sweden. Mathias Toft's co-authors include Matthew J. Farrer, Jan Aasly, Owen A. Ross, Espen Dietrichs, Lasse Pihlstrøm, Mary Hulihan, Jennifer M. Kachergus, Linda R. White, Kari Anne Bjørnarå and Ignácio F. Mata and has published in prestigious journals such as Nature Communications, PLoS ONE and Brain.

In The Last Decade

Mathias Toft

78 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathias Toft Norway 31 2.1k 871 778 701 633 82 2.7k
Ebba Lohmann Türkiye 26 2.1k 1.0× 1.2k 1.4× 1.0k 1.3× 826 1.2× 801 1.3× 73 3.3k
Mario Ezquerra Spain 28 1.7k 0.8× 782 0.9× 542 0.7× 1.3k 1.9× 1.1k 1.7× 85 3.0k
Deborah Raymond United States 34 3.2k 1.5× 2.3k 2.6× 381 0.5× 680 1.0× 453 0.7× 81 4.0k
Patrizia Rizzu Netherlands 22 1.2k 0.6× 490 0.6× 519 0.7× 1.0k 1.5× 1.4k 2.2× 44 2.5k
Caryl E. Sortwell United States 35 2.0k 1.0× 2.2k 2.5× 696 0.9× 1.2k 1.8× 530 0.8× 105 3.9k
Ellen Kanter United States 12 666 0.3× 765 0.9× 330 0.4× 811 1.2× 394 0.6× 14 2.2k
Elena Lezcano Spain 18 2.6k 1.2× 1.1k 1.3× 493 0.6× 446 0.6× 852 1.3× 23 2.9k
Xinglong Gu United States 22 929 0.4× 921 1.1× 421 0.5× 694 1.0× 595 0.9× 31 2.1k
Austen J. Milnerwood Canada 29 1.5k 0.7× 2.0k 2.3× 371 0.5× 1.5k 2.1× 561 0.9× 46 3.1k
Lionel M. Igaz Argentina 18 1.5k 0.7× 886 1.0× 395 0.5× 1.1k 1.6× 425 0.7× 24 2.8k

Countries citing papers authored by Mathias Toft

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Toft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Toft

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

All Works

20 of 20 papers shown
1.
Fuskevåg, Ole‐Martin, Mathias Toft, Kristina Rosqvist, et al.. (2025). Impulse control and correlation to dopamine agonist serum concentrations in people with Parkinson's disease. Journal of Neurology. 272(2). 134–134.
2.
Elsais, Ahmed, et al.. (2025). Repeatability, reliability, and stability of eye movement measurements in Parkinson’s disease, cerebellar ataxia, and healthy adults. Frontiers in Neurology. 16. 1556314–1556314. 2 indexed citations
3.
Bahrami, Shahram, Kaja Nordengen, Jaroslav Rokicki, et al.. (2024). The genetic landscape of basal ganglia and implications for common brain disorders. Nature Communications. 15(1). 8476–8476. 2 indexed citations
4.
5.
Toft, Mathias. (2024). New gene involved in the pathogenesis of Parkinson's disease. The Lancet Neurology. 23(6). 550–552.
6.
Nordengen, Kaja, Chiara Cappelletti, Shahram Bahrami, et al.. (2023). Pleiotropy with sex-specific traits reveals genetic aspects of sex differences in Parkinson’s disease. Brain. 147(3). 858–870. 7 indexed citations
7.
Jameel, Muhammad, Justyna Iwaszkiewicz, Muhammad Tariq, et al.. (2023). A homozygous founder variant in PDE2A causes paroxysmal dyskinesia with intellectual disability. Clinical Genetics. 104(3). 324–333. 5 indexed citations
8.
Tunold, Jon‐Anders, Manuela Tan, Mathias Toft, et al.. (2023). Lysosomal Polygenic Burden Drives Cognitive Decline in Parkinson's Disease with Low Alzheimer Risk. Movement Disorders. 39(3). 596–601. 8 indexed citations
9.
Fuskevåg, Ole‐Martin, Mathias Toft, Kristina Rosqvist, et al.. (2023). Dopamine agonist serum concentrations and impulse control disorders in Parkinson's disease. European Journal of Neurology. 31(2). e16144–e16144. 10 indexed citations
10.
Pihlstrøm, Lasse, Gemma Shireby, Hanneke Geut, et al.. (2022). Epigenome-wide association study of human frontal cortex identifies differential methylation in Lewy body pathology. Nature Communications. 13(1). 4932–4932. 15 indexed citations
11.
Yu, Eric, Aditya Ambati, Lynne Krohn, et al.. (2021). Fine mapping of the HLA locus in Parkinson’s disease in Europeans. npj Parkinson s Disease. 7(1). 84–84. 34 indexed citations
12.
Cappelletti, Chiara, et al.. (2021). Allele-specific expression of Parkinson’s disease susceptibility genes in human brain. Scientific Reports. 11(1). 504–504. 18 indexed citations
13.
Pihlstrøm, Lasse, et al.. (2021). Integrative analysis identifies bHLH transcription factors as contributors to Parkinson’s disease risk mechanisms. Scientific Reports. 11(1). 3502–3502. 1 indexed citations
14.
Skogseid, Inger Marie, et al.. (2020). Subthalamic deep brain stimulation improves sleep and excessive sweating in Parkinson’s disease. npj Parkinson s Disease. 6(1). 29–29. 17 indexed citations
15.
Karlsson, M. K., Praveen Sharma, Jan Aasly, et al.. (2013). Found in transcription: Accurate Parkinson's disease classification in peripheral blood. Journal of Parkinson s Disease. 3(1). 19–29. 27 indexed citations
16.
Toft, Mathias, et al.. (2008). Behandling av bevegelsesforstyrrelser med dyp hjernestimulering. Tidsskrift for Den Norske Laegeforening. 3 indexed citations
17.
Myhre, Ronny, Mathias Toft, Jennifer M. Kachergus, et al.. (2008). Multiplealpha-synucleingene polymorphisms are associated with Parkinson’s disease in a Norwegian population. Acta Neurologica Scandinavica. 118(5). 320–327. 66 indexed citations
18.
Toft, Mathias, Ignácio F. Mata, Owen A. Ross, et al.. (2007). Pathogenicity of the Lrrk2 R1514Q substitution in Parkinson's disease. Movement Disorders. 22(3). 389–392. 8 indexed citations
19.
Dächsel, Justus C., Owen A. Ross, Ignácio F. Mata, et al.. (2006). Lrrk2 G2019S substitution in frontotemporal lobar degeneration with ubiquitin-immunoreactive neuronal inclusions. Acta Neuropathologica. 113(5). 601–606. 48 indexed citations
20.
Toft, Mathias & Jan Aasly. (2004). Genetikk ved Parkinsons sykdom. Tidsskrift for Den Norske Laegeforening.

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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