Laura Power

692 total citations
42 papers, 479 citations indexed

About

Laura Power is a scholar working on Cellular and Molecular Neuroscience, Neurology and Neurology. According to data from OpenAlex, Laura Power has authored 42 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 14 papers in Neurology and 9 papers in Neurology. Recurrent topics in Laura Power's work include Genetic Neurodegenerative Diseases (23 papers), Vestibular and auditory disorders (14 papers) and Hearing, Cochlea, Tinnitus, Genetics (6 papers). Laura Power is often cited by papers focused on Genetic Neurodegenerative Diseases (23 papers), Vestibular and auditory disorders (14 papers) and Hearing, Cochlea, Tinnitus, Genetics (6 papers). Laura Power collaborates with scholars based in Australia, Ireland and Switzerland. Laura Power's co-authors include David J. Szmulewicz, Pubudu N. Pathirana, Malcolm Horne, Dũng H. Phan, Kate Murray, Iván Martín, Andrea Barbero, David Wendt, Francis Perton and Miriam Filippi and has published in prestigious journals such as Biomaterials, Neurology and Langmuir.

In The Last Decade

Laura Power

41 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Power Australia 14 147 141 96 91 72 42 479
Jongho Lee Japan 11 198 1.3× 190 1.3× 77 0.8× 179 2.0× 57 0.8× 30 591
Shervin Rahimpour United States 18 82 0.6× 177 1.3× 135 1.4× 191 2.1× 81 1.1× 49 990
Jyrki Rasku Finland 14 138 0.9× 41 0.3× 99 1.0× 14 0.2× 118 1.6× 29 522
Zhiqiang Zhuang China 16 107 0.7× 46 0.3× 134 1.4× 43 0.5× 244 3.4× 42 769
Alberto Antonietti Italy 17 205 1.4× 127 0.9× 128 1.3× 30 0.3× 53 0.7× 49 755
Pietro Balbi Italy 16 123 0.8× 89 0.6× 81 0.8× 289 3.2× 170 2.4× 39 762
Daniel Weiß Germany 21 217 1.5× 350 2.5× 95 1.0× 816 9.0× 97 1.3× 74 1.2k
Tobias Wiestler United Kingdom 15 285 1.9× 56 0.4× 184 1.9× 41 0.5× 29 0.4× 19 1.1k
Felix Bernhard Germany 11 45 0.3× 103 0.7× 87 0.9× 119 1.3× 95 1.3× 23 473
Imran Noorani United Kingdom 15 64 0.4× 49 0.3× 38 0.4× 139 1.5× 87 1.2× 34 665

Countries citing papers authored by Laura Power

Since Specialization
Citations

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

Fields of papers citing papers by Laura Power

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Power

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Power. A scholar is included among the top collaborators of Laura Power 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 Laura Power. Laura Power 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.
Pathirana, Pubudu N., et al.. (2023). Machine Learning-Based Scoring System to Predict the Risk and Severity of Ataxic Speech Using Different Speech Tasks. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 4839–4850.
2.
Chaaban, Mansoor, Adrien Moya, Andrés García‐García, et al.. (2023). Harnessing human adipose-derived stromal cell chondrogenesis in vitro for enhanced endochondral ossification. Biomaterials. 303. 122387–122387. 13 indexed citations
3.
Zhang, Jing, Zhonglei He, Yinghao Li, et al.. (2023). Enhanced gene transfection efficacy and safety through granular hydrogel mediated gene delivery process. Acta Biomaterialia. 166. 85–94. 12 indexed citations
4.
Pathirana, Pubudu N., et al.. (2021). Modeling the Progression of Speech Deficits in Cerebellar Ataxia Using a Mixture Mixed-Effect Machine Learning Framework. IEEE Access. 9. 135343–135353. 5 indexed citations
5.
Power, Laura, et al.. (2021). Deep learning enables the automation of grading histological tissue engineered cartilage images for quality control standardization. Osteoarthritis and Cartilage. 29(3). 433–443. 17 indexed citations
6.
Pathirana, Pubudu N., et al.. (2020). Quantitative Assessment of Speech in Cerebellar Ataxia Using Magnitude and Phase Based Cepstrum. Annals of Biomedical Engineering. 48(4). 1322–1336. 12 indexed citations
7.
Filippi, Miriam, Francis Perton, Laura Power, et al.. (2020). Mastering bioactive coatings of metal oxide nanoparticles and surfaces through phosphonate dendrons. New Journal of Chemistry. 44(8). 3206–3214. 4 indexed citations
8.
Pathirana, Pubudu N., et al.. (2020). A comprehensive scheme for the objective upper body assessments of subjects with cerebellar ataxia. Journal of NeuroEngineering and Rehabilitation. 17(1). 162–162. 13 indexed citations
9.
Phan, Dũng H., et al.. (2020). Objective Assessment of Cerebellar Ataxia: A Comprehensive and Refined Approach. Scientific Reports. 10(1). 9493–9493. 18 indexed citations
10.
Pathirana, Pubudu N., et al.. (2020). Multimodal Data Acquisition for the Assessment of Cerebellar Ataxia via Ballistic Tracking. PubMed. 6. 859–862. 3 indexed citations
11.
Asnaghi, M. Adelaide, Laura Power, Andrea Barbero, et al.. (2020). Biomarker Signatures of Quality for Engineering Nasal Chondrocyte-Derived Cartilage. Frontiers in Bioengineering and Biotechnology. 8. 283–283. 15 indexed citations
12.
Pathirana, Pubudu N., et al.. (2020). Entropy-based analysis of rhythmic tapping for the quantitative assessment of cerebellar ataxia. Biomedical Signal Processing and Control. 59. 101916–101916. 13 indexed citations
13.
Power, Laura, et al.. (2019). Central Conditions Mimicking Benign Paroxysmal Positional Vertigo: A Case Series. Journal of Neurologic Physical Therapy. 43(3). 186–191. 7 indexed citations
14.
Filippi, Miriam, Francesca Garello, Francis Perton, et al.. (2019). Metronidazole-functionalized iron oxide nanoparticles for molecular detection of hypoxic tissues. Nanoscale. 11(46). 22559–22574. 26 indexed citations
15.
Neutzner, Albert, Laura Power, Markus Dürrenberger, et al.. (2019). A perfusion bioreactor-based 3D model of the subarachnoid space based on a meningeal tissue construct. Fluids and Barriers of the CNS. 16(1). 17–17. 6 indexed citations
16.
Power, Laura, et al.. (2019). Characteristics of assessment and treatment in Benign Paroxysmal Positional Vertigo (BPPV). Journal of Vestibular Research. 30(1). 55–62. 36 indexed citations
17.
Pathirana, Pubudu N., et al.. (2019). Quantitative assessment of cerebellar ataxia, through automated limb functional tests. Journal of NeuroEngineering and Rehabilitation. 16(1). 31–31. 37 indexed citations
18.
Phan, Dũng H., et al.. (2019). A Random Forest Approach for Quantifying Gait Ataxia With Truncal and Peripheral Measurements Using Multiple Wearable Sensors. IEEE Sensors Journal. 20(2). 723–734. 25 indexed citations
19.
Power, Laura, Kate Murray, & David J. Szmulewicz. (2018). Early experience with a multi-axial, whole body positioning system in the treatment of Benign Paroxysmal Positional Vertigo (BPPV). Journal of Clinical Neuroscience. 61. 186–188. 10 indexed citations
20.
Power, Laura, et al.. (2018). Clinical characteristics and treatment choice in vestibular migraine. Journal of Clinical Neuroscience. 52. 50–53. 36 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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