Danielle Leighton

468 total citations
10 papers, 193 citations indexed

About

Danielle Leighton is a scholar working on Neurology, Genetics and Neurology. According to data from OpenAlex, Danielle Leighton has authored 10 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 5 papers in Genetics and 4 papers in Neurology. Recurrent topics in Danielle Leighton's work include Amyotrophic Lateral Sclerosis Research (10 papers), Neurogenetic and Muscular Disorders Research (5 papers) and Neurological diseases and metabolism (4 papers). Danielle Leighton is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (10 papers), Neurogenetic and Muscular Disorders Research (5 papers) and Neurological diseases and metabolism (4 papers). Danielle Leighton collaborates with scholars based in United Kingdom, United States and Italy. Danielle Leighton's co-authors include Siddharthan Chandran, Robert Swingler, Judith Newton, Suvankar Pal, Jon Warner, Elaine Cleary, Shuna Colville, Laura Stephenson, George Gorrie and Sharon Abrahams and has published in prestigious journals such as Neurology, Journal of Neurology Neurosurgery & Psychiatry and Acta Neuropathologica.

In The Last Decade

Danielle Leighton

7 papers receiving 190 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Leighton United Kingdom 5 149 80 49 41 33 10 193
Beatrice Stubendorff Germany 11 150 1.0× 79 1.0× 30 0.6× 74 1.8× 28 0.8× 20 249
Stéphane Dieterle France 7 183 1.2× 114 1.4× 26 0.5× 91 2.2× 39 1.2× 8 245
Lieselot Dedeene Belgium 7 178 1.2× 95 1.2× 43 0.9× 65 1.6× 27 0.8× 9 237
Nathan Pavey Australia 8 211 1.4× 103 1.3× 76 1.6× 29 0.7× 44 1.3× 24 252
Jean Pierre Zucchetti Italy 5 280 1.9× 137 1.7× 37 0.8× 54 1.3× 24 0.7× 7 300
Clare Johnston United Kingdom 5 198 1.3× 104 1.3× 35 0.7× 58 1.4× 20 0.6× 5 247
Nick Verber United Kingdom 5 170 1.1× 120 1.5× 44 0.9× 70 1.7× 18 0.5× 6 202
Diana Wiesner Germany 8 96 0.6× 35 0.4× 45 0.9× 81 2.0× 30 0.9× 14 213
Saman Heshmat Australia 4 179 1.2× 112 1.4× 20 0.4× 34 0.8× 18 0.5× 9 218
Sebastián Abarzúa Chile 7 131 0.9× 70 0.9× 69 1.4× 104 2.5× 39 1.2× 9 267

Countries citing papers authored by Danielle Leighton

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Leighton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Leighton

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

All Works

10 of 10 papers shown
2.
Rifai, Olivia M., et al.. (2024). Clinicopathological analysis of NEK1 variants in amyotrophic lateral sclerosis. Brain Pathology. 35(1). e13287–e13287. 1 indexed citations
3.
Leighton, Danielle, Judith Newton, David Parry, et al.. (2019). 15.33 Phenotype-genotype characterisation of ‘long survivors’ with motor neurone disease in Scotland. Journal of Neurology Neurosurgery & Psychiatry. 90(12). e5.2–e5.
4.
McHutchison, Caroline, Danielle Leighton, Andrew M. McIntosh, et al.. (2019). Relationship between neuropsychiatric disorders and cognitive and behavioural change in MND. Journal of Neurology Neurosurgery & Psychiatry. 91(3). 245–253. 17 indexed citations
5.
Leighton, Danielle, Cristiane Araújo Martins Moreno, Suvankar Pal, et al.. (2019). Assessing ACMG Criteria for the Classification of Reported ALS Gene Mutations: Utility, Pitfalls and Recommendations (N2.001). Neurology. 92(15_supplement). 2 indexed citations
6.
Leighton, Danielle, Judith Newton, Laura Stephenson, et al.. (2019). Changing epidemiology of motor neurone disease in Scotland. Journal of Neurology. 266(4). 817–825. 48 indexed citations
7.
Gorrie, George, Siddharthan Chandran, Shuna Colville, et al.. (2019). Improved survival and 30-day mortality after gastrostomy in Scottish motor neurone disease patients: evidence from a national retrospective cohort study using STROBE criteria. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 20(3-4). 165–171. 7 indexed citations
8.
Henstridge, Christopher M., Emily Carroll, Makis Tzioras, et al.. (2017). Synapse loss in the prefrontal cortex is associated with cognitive decline in amyotrophic lateral sclerosis. Acta Neuropathologica. 135(2). 213–226. 85 indexed citations
9.
Leighton, Danielle, Elaine Cleary, Laura Stephenson, et al.. (2016). Genetic epidemiology of motor neuron disease-associated variants in the Scottish population. Neurobiology of Aging. 51. 178.e11–178.e20. 33 indexed citations
10.
Gregory, Jenna M., Fergal M. Waldron, Lawrence Fulton, et al.. (2016). Protocol for a systematic review and meta‐analysis of experimental models of amyotrophic lateral sclerosis. Edinburgh Research Explorer. 3(2). 17–19.

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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