Malcolm Horne

13.3k total citations · 1 hit paper
214 papers, 8.9k citations indexed

About

Malcolm Horne is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Malcolm Horne has authored 214 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Cellular and Molecular Neuroscience, 95 papers in Neurology and 40 papers in Molecular Biology. Recurrent topics in Malcolm Horne's work include Parkinson's Disease Mechanisms and Treatments (74 papers), Neurological disorders and treatments (44 papers) and Genetic Neurodegenerative Diseases (37 papers). Malcolm Horne is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (74 papers), Neurological disorders and treatments (44 papers) and Genetic Neurodegenerative Diseases (37 papers). Malcolm Horne collaborates with scholars based in Australia, United States and Ireland. Malcolm Horne's co-authors include David I. Finkelstein, John S. Forsythe, David R. Nisbet, J. H. Pope, W. M. Scott, John Drago, Peter Brotchie, Robert Iansek, Clare L. Parish and Stephen Bernard and has published in prestigious journals such as Nature, JAMA and Advanced Materials.

In The Last Decade

Malcolm Horne

210 papers receiving 8.6k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Transformation of foetal human leukocytes in vitro by filtrates of a human leukaemic cell line containing herpes‐like virus

1968 379 citations Malcolm Horne et al. profile →

Author Peers

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

Author						Papers	Cites
Malcolm Horne	3.1k	2.6k	1.7k	1.1k	996	214	8.9k
Alexander Storch	4.0k 1.3×	3.0k 1.2×	3.4k 2.0×	891 0.8×	741 0.7×	328	10.4k
Kyoko Suzuki	976 0.3×	1.0k 0.4×	1.4k 0.8×	1.8k 1.7×	783 0.8×	384	8.1k
Kazuto Kobayashi	1.7k 0.6×	4.5k 1.7×	4.1k 2.4×	1.5k 1.4×	889 0.9×	392	12.7k
Soon‐Tae Lee	3.2k 1.0×	2.2k 0.8×	4.2k 2.4×	1.0k 1.0×	1.4k 1.4×	341	12.9k
Kon Chu	3.9k 1.2×	2.6k 1.0×	4.3k 2.5×	1.2k 1.1×	1.4k 1.4×	355	14.1k
Jiayi Li	3.9k 1.3×	4.1k 1.6×	4.9k 2.8×	392 0.4×	565 0.6×	375	12.3k
Balázs Gulyás	789 0.3×	2.2k 0.9×	3.4k 2.0×	2.5k 2.4×	1.1k 1.1×	310	11.4k
Kenji Nakashima	3.1k 1.0×	1.0k 0.4×	2.2k 1.3×	1.2k 1.1×	396 0.4×	309	9.5k
Jeremy M. Shefner	5.0k 1.6×	1.8k 0.7×	1.8k 1.1×	386 0.4×	862 0.9×	206	8.5k
Giacomo P. Comi	2.8k 0.9×	2.4k 0.9×	9.0k 5.2×	631 0.6×	524 0.5×	570	15.6k

Countries citing papers authored by Malcolm Horne

Since Specialization

Citations

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

Fields of papers citing papers by Malcolm Horne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm Horne

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

All Works

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20 of 20 papers shown

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.

Farzanehfar, Parisa, et al.. (2022). Sensor Measurements Can Characterize Fluctuations and Wearing Off in Parkinson’s Disease and Guide Therapy to Improve Motor, Non-motor and Quality of Life Scores. Frontiers in Aging Neuroscience. 14. 852992–852992. 8 indexed citations

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

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

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

Khodakarami, Hamid, Lucia Ricciardi, Maria Fiorella Contarino, et al.. (2019). Prediction of the Levodopa Challenge Test in Parkinson’s Disease Using Data from a Wrist-Worn Sensor. Sensors. 19(23). 5153–5153. 34 indexed citations

McGregor, Sarah, Denise M. O’Driscoll, Hamid Khodakarami, et al.. (2018). The use of accelerometry as a tool to measure disturbed nocturnal sleep in Parkinson’s disease. npj Parkinson s Disease. 4(1). 1–1. 62 indexed citations

Maetzler, Walter, Jochen Klucken, & Malcolm Horne. (2016). A clinical view on the development of technology‐based tools in managing Parkinson's disease. Movement Disorders. 31(9). 1263–1271. 122 indexed citations

Horne, Malcolm, et al.. (2015). Objective Data In Parkinson’s Disease Therapy Management – A Retrospective Analysis Of The Parkinson’s Kinetigraph (Pkg) Database. Value in Health. 18(7). A685–A685. 7 indexed citations

10.

Griffiths, Robert I., Katya Kotschet, Zheng Xu, et al.. (2012). Automated Assessment of Bradykinesia and Dyskinesia in Parkinson's Disease. Journal of Parkinson s Disease. 2(1). 47–55. 199 indexed citations

11.

Soo, Kai Y., Julie D. Atkin, Manal A. Farg, et al.. (2012). Bim Links ER Stress and Apoptosis in Cells Expressing Mutant SOD1 Associated with Amyotrophic Lateral Sclerosis. PLoS ONE. 7(4). e35413–e35413. 34 indexed citations

12.

Loesch, Danuta Z., David E. Godler, Andrew Evans, et al.. (2011). Evidence for the toxicity of bidirectional transcripts and mitochondrial dysfunction in blood associated with small CGG expansions in the FMR1 gene in patients with parkinsonism. Genetics in Medicine. 13(5). 392–399. 65 indexed citations

13.

Loesch, Danuta Z., Katya Kotschet, Nicholas Trost, et al.. (2011). White matter changes in basis pontis in small expansion FMR1 allele carriers with parkinsonism. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 156(4). 502–506. 18 indexed citations

14.

Moses, David, et al.. (2010). Creating a Ventral Midbrain Stem Cell Niche in an Animal Model for Parkinson's Disease. Stem Cells and Development. 19(12). 1995–2007. 1 indexed citations

15.

Horne, Malcolm, David R. Nisbet, John S. Forsythe, & Clare L. Parish. (2009). Three-Dimensional Nanofibrous Scaffolds Incorporating Immobilized BDNF Promote Proliferation and Differentiation of Cortical Neural Stem Cells. Stem Cells and Development. 19(6). 843–852. 135 indexed citations

16.

Lee, Joohyung, Davor Stanić, David I. Finkelstein, et al.. (2008). Sprouting of dopamine terminals and altered dopamine release and uptake in Parkinsonian dyskinaesia. Brain. 131(6). 1574–1587. 71 indexed citations

17.

Horne, Malcolm, et al.. (2008). Long‐term administration of cocaine or serotonin reuptake inhibitors results in anatomical and neurochemical changes in noradrenergic, dopaminergic, and serotonin pathways. Journal of Neurochemistry. 106(4). 1731–1744. 22 indexed citations

18.

Corben, Louise A., Nellie Georgiou‐Karistianis, Michael Fahey, et al.. (2006). Towards an understanding of cognitive function in Friedreich ataxia. Brain Research Bulletin. 70(3). 197–202. 33 indexed citations

19.

Ross, Shelley, J Wong, Jeremiah J. Clifford, et al.. (2000). Phenotypic characterization of an alpha 4 neuronal nicotinic acetylcholine receptor subunit knock-out mouse.. PubMed. 20(17). 6431–41. 199 indexed citations

20.

Willis, Gregory L., et al.. (1988). Amine accumulation, catecholamine depletion and motor impairment in Macaca fasicularis and the C-57 black mouse after MPTP administration. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 12(4). 469–IN6. 6 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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