Pille Taba

7.9k total citations · 1 hit paper
80 papers, 2.0k citations indexed

About

Pille Taba is a scholar working on Neurology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Pille Taba has authored 80 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Neurology, 17 papers in Cellular and Molecular Neuroscience and 11 papers in Physiology. Recurrent topics in Pille Taba's work include Parkinson's Disease Mechanisms and Treatments (52 papers), Neurological disorders and treatments (23 papers) and Botulinum Toxin and Related Neurological Disorders (13 papers). Pille Taba is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (52 papers), Neurological disorders and treatments (23 papers) and Botulinum Toxin and Related Neurological Disorders (13 papers). Pille Taba collaborates with scholars based in Estonia, United Kingdom and Germany. Pille Taba's co-authors include Katrin Sikk, Sulev Haldre, Sten‐Magnus Aquilonius, Liis Kadastik‐Eerme, Jonas Bergquist, T Asser, Dag Nyholm, Toomas Asser, Mari Muldmaa and Irja Lutsar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Brain Research.

In The Last Decade

Pille Taba

76 papers receiving 2.0k citations

Hit Papers

European Academy of Neuro... 2022 2026 2023 2024 2022 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Pille Taba 1.2k 271 259 189 183 80 2.0k
Vinay Goyal 805 0.7× 170 0.6× 320 1.2× 220 1.2× 289 1.6× 148 1.9k
John C. Morgan 1.1k 1.0× 399 1.5× 416 1.6× 188 1.0× 227 1.2× 109 2.5k
J. Porta‐Etessam 1.3k 1.1× 149 0.5× 996 3.8× 172 0.9× 143 0.8× 193 2.9k
Sudesh Prabhakar 602 0.5× 476 1.8× 418 1.6× 143 0.8× 387 2.1× 185 3.7k
Osvaldo J. M. Nascimento 619 0.5× 245 0.9× 202 0.8× 69 0.4× 304 1.7× 181 2.1k
Alessandra Borsini 273 0.2× 131 0.5× 248 1.0× 120 0.6× 124 0.7× 46 2.3k
Olivier Blin 696 0.6× 259 1.0× 404 1.6× 353 1.9× 196 1.1× 88 2.4k
Mark L. Kuijf 1.2k 1.0× 416 1.5× 159 0.6× 358 1.9× 127 0.7× 64 1.9k
Peter Høgh 405 0.3× 399 1.5× 905 3.5× 530 2.8× 141 0.8× 102 2.6k
Antonello Grippo 654 0.6× 121 0.4× 263 1.0× 389 2.1× 609 3.3× 159 2.0k

Countries citing papers authored by Pille Taba

Since Specialization
Citations

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

Fields of papers citing papers by Pille Taba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pille Taba

This figure shows the co-authorship network connecting the top 25 collaborators of Pille Taba. A scholar is included among the top collaborators of Pille Taba 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 Pille Taba. Pille Taba 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.
Kõks, Sulev, et al.. (2025). Whole blood transcriptome profile identifies motor neurone disease RNA biomarker signatures. Experimental Biology and Medicine. 249. 10401–10401. 1 indexed citations
2.
Mattison, Donald R., Franco Momoli, Michael Aschner, et al.. (2024). Diagnosis of manganism and manganese neurotoxicity: A workshop report. PubMed. 4(2). 11–11. 9 indexed citations
3.
Wang, Xuechao, et al.. (2023). Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson’s disease. Biomedical Signal Processing and Control. 87. 105436–105436. 5 indexed citations
5.
Deuschl, Günther, Angelo Antonini, João Costa, et al.. (2022). European Academy of Neurology/Movement Disorder Society‐European Section Guideline on the Treatment of Parkinson's Disease: I. Invasive Therapies. Movement Disorders. 37(7). 1360–1374. 100 indexed citations breakdown →
6.
Deuschl, Günther, Angelo Antonini, João Costa, et al.. (2022). European Academy of Neurology/Movement Disorder Society ‐ European Section guideline on the treatment of Parkinson's disease: I. Invasive therapies. European Journal of Neurology. 29(9). 2580–2595. 48 indexed citations
7.
Nõmm, Sven, et al.. (2022). Generative Adversarial Networks as a Data Augmentation Tool for CNN-Based Parkinson's Disease Diagnostics. IFAC-PapersOnLine. 55(29). 108–113. 7 indexed citations
8.
Romoli, Michele, Ilijas Jelčić, Raphaël Bernard‐Valnet, et al.. (2020). A systematic review of neurological manifestations of SARS‐CoV‐2 infection: the devil is hidden in the details. European Journal of Neurology. 27(9). 1712–1726. 75 indexed citations
9.
Kõks, Sulev, et al.. (2019). Acute effects of methcathinone and manganese in mice: A dose response study. Heliyon. 5(9). e02475–e02475. 4 indexed citations
10.
Pääsuke, Mati, et al.. (2019). Versatile guideline-based physiotherapy intervention in groups to improve gait speed in Parkinson’s disease patients. Neurorehabilitation. 44(4). 579–586. 10 indexed citations
11.
Sikk, Katrin, et al.. (2019). Cognitive profile of patients with manganese-methcathinone encephalopathy. NeuroToxicology. 76. 138–143. 10 indexed citations
12.
Taba, Pille, et al.. (2018). Adaption and validation of the Mississippi Aphasia Screening Test to Estonian speakers with aphasia. Brain and Behavior. 9(1). e01188–e01188. 5 indexed citations
13.
Nõmm, Sven, et al.. (2018). Gait Analysis Based Approach for Parkinson's Disease Modeling with Decision Tree Classifiers. 3720–3725. 6 indexed citations
14.
Kõks, Sulev, Anniina Snellman, Merja Haaparanta‐Solin, et al.. (2016). Increased striatal VMAT2 binding in mice after chronic administration of methcathinone and manganese. Brain Research. 1652. 97–102. 2 indexed citations
15.
Kadastik‐Eerme, Liis, et al.. (2015). Health-related quality of life in Parkinson’s disease: a cross-sectional study focusing on non-motor symptoms. Health and Quality of Life Outcomes. 13(1). 83–83. 101 indexed citations
16.
Lees, Andrew J., Katrin Sikk, & Pille Taba. (2015). The Story of “Speed” from “Cloud Nine” to Brain Gain. International review of neurobiology. 120. 1–7. 2 indexed citations
17.
Muldmaa, Mari, et al.. (2012). Methcathinone (ephedrone) and manganese both reduce D2-receptor function: An animal SPECT study. Murdoch Research Repository (Murdoch University). 2 indexed citations
18.
Kõks, Sulev, Merja Haaparanta‐Solin, Tove J. Grönroos, et al.. (2009). The effects of chronic administration of ephedrone (methcathinone) and manganese in mice. Murdoch Research Repository (Murdoch University). 2 indexed citations
19.
Sikk, Katrin, Pille Taba, Sulev Haldre, et al.. (2009). Clinical, neuroimaging and neurophysiological features in addicts with manganese-ephedrone exposure. Acta Neurologica Scandinavica. 121(4). 237–243. 36 indexed citations
20.
Taba, Pille & Toomas Asser. (2002). Prevalence of Parkinson's disease in Estonia. Acta Neurologica Scandinavica. 106(5). 276–281. 25 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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