Maja Trošt

1.8k total citations
51 papers, 812 citations indexed

About

Maja Trošt is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Maja Trošt has authored 51 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Neurology, 15 papers in Cellular and Molecular Neuroscience and 10 papers in Molecular Biology. Recurrent topics in Maja Trošt's work include Parkinson's Disease Mechanisms and Treatments (34 papers), Neurological disorders and treatments (30 papers) and Genetic Neurodegenerative Diseases (11 papers). Maja Trošt is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (34 papers), Neurological disorders and treatments (30 papers) and Genetic Neurodegenerative Diseases (11 papers). Maja Trošt collaborates with scholars based in Slovenia, United States and Germany. Maja Trošt's co-authors include David Eidelberg, Yilong Ma, Zvezdan Pirtošek, Vita Dolžan, Anna Barnes, Ruoh‐Fang Yen, Philip C. Su, Sherwin L. Su, Ham‐Min Tseng and Dejan Georgiev and has published in prestigious journals such as NeuroImage, Neurology and Annals of Neurology.

In The Last Decade

Maja Trošt

48 papers receiving 794 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maja Trošt Slovenia 16 583 266 145 106 104 51 812
André R. Troiano Brazil 13 594 1.0× 283 1.1× 96 0.7× 77 0.7× 82 0.8× 25 798
Marianna Selikhova United Kingdom 11 823 1.4× 290 1.1× 119 0.8× 59 0.6× 165 1.6× 26 1.0k
Isabel Wurster Germany 20 676 1.2× 180 0.7× 101 0.7× 124 1.2× 129 1.2× 53 1.0k
Monique Galitzky France 16 1.0k 1.8× 457 1.7× 166 1.1× 112 1.1× 133 1.3× 21 1.3k
Valérie Soland Canada 13 517 0.9× 218 0.8× 95 0.7× 84 0.8× 51 0.5× 16 699
Chun Yao Canada 10 658 1.1× 147 0.6× 235 1.6× 53 0.5× 74 0.7× 13 916
M. J. Martí Spain 14 699 1.2× 159 0.6× 295 2.0× 85 0.8× 83 0.8× 20 922
Laura K. Teune Netherlands 15 618 1.1× 239 0.9× 168 1.2× 126 1.2× 85 0.8× 23 972
Ana Cámara Spain 17 708 1.2× 173 0.7× 85 0.6× 57 0.5× 84 0.8× 35 831
G. Gambaccini Italy 12 420 0.7× 155 0.6× 69 0.5× 137 1.3× 63 0.6× 13 677

Countries citing papers authored by Maja Trošt

Since Specialization
Citations

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

Fields of papers citing papers by Maja Trošt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Trošt

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Trošt. A scholar is included among the top collaborators of Maja Trošt 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 Maja Trošt. Maja Trošt 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.
Georgiev, Dejan & Maja Trošt. (2025). Long-term effect and reasons for switching and combining device-aided therapies in Parkinson’s Disease. Neurologia i Neurochirurgia Polska. 59(2). 111–126. 3 indexed citations
2.
Trošt, Maja, et al.. (2025). Multinomial logistic regression algorithm for the classification of patients with parkinsonisms. EJNMMI Research. 15(1). 24–24.
3.
Georgiev, Dejan, et al.. (2025). The role of intraoperative monitoring in target selection in deep brain stimulation: A single centre study. Clinical Parkinsonism & Related Disorders. 12. 100299–100299.
4.
Blagus, Tanja, Maja Trošt, Milica G. Kramberger, et al.. (2024). Genetic variability of incretin receptors affects the occurrence of neurodegenerative diseases and their characteristics. Heliyon. 10(20). e39157–e39157. 1 indexed citations
5.
Laar, Teus van, К. Ray Chaudhuri, Angelo Antonini, Tove Henriksen, & Maja Trošt. (2023). Infusion Therapies in the Treatment of Parkinson’s Disease. Journal of Parkinson s Disease. 13(5). 641–657. 17 indexed citations
6.
7.
8.
Schindlbeck, Katharina A., Chris C. Tang, An Vo, et al.. (2022). Stereotyped Relationship Between Motor and Cognitive Metabolic Networks in Parkinson's Disease. Movement Disorders. 37(11). 2247–2256. 9 indexed citations
9.
Blagus, Tanja, et al.. (2022). Genetic Variability of the Vitamin D Receptor Affects Susceptibility to Parkinson’s Disease and Dopaminergic Treatment Adverse Events. Frontiers in Aging Neuroscience. 14. 853277–853277. 6 indexed citations
10.
Georgiev, Dejan, et al.. (2022). Switching and Combining Device-Aided Therapies in Advanced Parkinson’s Disease: A Double Centre Retrospective Study. Brain Sciences. 12(3). 343–343. 9 indexed citations
11.
Tang, Chris C., et al.. (2022). Metabolic brain pattern in dementia with Lewy bodies: Relationship to Alzheimer’s disease topography. NeuroImage Clinical. 35. 103080–103080. 14 indexed citations
12.
Vo, An, et al.. (2022). Automated differential diagnosis of dementia syndromes using FDG PET and machine learning. Frontiers in Aging Neuroscience. 14. 1005731–1005731. 14 indexed citations
13.
Repovš, Grega, et al.. (2022). CORTICAL BRAIN PERFUSION AND COGNITIVE EVENT RELATED POTENTIALS IN PATIENTS WITH PSYCHOMOTOR RETARDATION IN LATE ONSET DEPRESSION. Psychiatria Danubina. 34(4). 668–676. 1 indexed citations
14.
Emeršič, Andreja, et al.. (2022). Identification and validation of Alzheimer’s disease-related metabolic brain pattern in biomarker confirmed Alzheimer’s dementia patients. Scientific Reports. 12(1). 11752–11752. 16 indexed citations
15.
Georgiev, Dejan, Róman Boŝnjak, Jan H. Mehrkens, et al.. (2021). Long-term effect of bilateral STN-DBS on non-motor symptoms in Parkinson's disease: A four-year observational, prospective study. Parkinsonism & Related Disorders. 89. 13–16. 24 indexed citations
16.
Pirtošek, Zvezdan, et al.. (2020). Differential diagnosis of parkinsonian syndromes: a comparison of clinical and automated - metabolic brain patterns’ based approach. European Journal of Nuclear Medicine and Molecular Imaging. 47(12). 2901–2910. 26 indexed citations
17.
Trošt, Maja, et al.. (2017). Genetic Determinants of Parkinson's Disease: Can They Help to Stratify the Patients Based on the Underlying Molecular Defect?. Frontiers in Aging Neuroscience. 9. 20–20. 37 indexed citations
18.
Košutzká, Zuzana, Zvezdan Pirtošek, Maja Trošt, et al.. (2015). Postural stability under globus pallidus internus stimulation for dystonia. Clinical Neurophysiology. 126(12). 2299–2305. 10 indexed citations
19.
Trošt, Maja, Philip C. Su, Anna Barnes, et al.. (2003). Evolving metabolic changes during the first postoperative year after subthalamotomy. Journal of neurosurgery. 99(5). 872–878. 26 indexed citations
20.
Trošt, Maja. (2003). Dystonia update. Current Opinion in Neurology. 16(4). 495–500. 8 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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