Simon D’Alton

947 citations
16 papers · 728 · h-index 11

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Amyotrophic Lateral Sclerosis Research 7
    • Neurological diseases and metabolism 3
    • Parkinson's Disease Mechanisms and Treatments 2
    • Neuroinflammation and Neurodegeneration Mechanisms 2
    • Neurogenetic and Muscular Disorders Research 4

Simon D’Alton

16 papers receiving 723 citations

Peers

Simon D’Alton
Comparison fields: 5 of 67
  • Neurology 516
  • Genetics 267
  • Neurology 84
  • Physiology 133
  • Biochemistry 35
Replace Mark A. Halloran with:
Mark A. Halloran Australia
Joshua D. Kidd United States
Rachele A. Saccon United Kingdom
Burcin Ikiz United States
Mfon E. Umoh United States
Katie Sidle United Kingdom
Kevin J. McAvoy United States
Nayana Gaur Germany
Joseph Ostrow United States
Daniel Farny Germany
Simon D’Alton relative to Mark A. Halloran Australia Mark A. Halloran's profile →
Citations per field
00.5×1.5×2×
Mark A. Halloran · 1×
Citations per year

Countries citing papers authored by Simon D’Alton

Since Specialization
Citations

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

Fields of papers citing papers by Simon D’Alton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon D’Alton. 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 Simon D’Alton. The network helps show where Simon D’Alton may publish in the future.

Co-authors

The 25 scholars most cited alongside Simon D’Alton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon D’Alton Line = papers co-authored together Simon D’Alton links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2010447
2 201251
3 201536
4 201835
5 201325
6 201122
7 201421
8 201113
9 201612
10 202112
11 201911
12 201410
13 201510
14 20148
15 20248
16 20127

About Simon D’Alton

Simon D’Alton is a scholar working on Neurology, Neurology, Genetics, Physiology and Philosophy, having authored 16 papers that have together received 728 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (7 papers), Alzheimer's disease research and treatments (5 papers), Neurogenetic and Muscular Disorders Research (4 papers), Neurological diseases and metabolism (3 papers), Mental Health and Psychiatry (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Neurology (516 citations), Genetics (267 citations), Neurology (84 citations), Physiology (133 citations) and Biochemistry (35 citations). Simon D’Alton has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jada M. Lewis, Dennis W. Dickson, Leonard Petrucelli, Xin Yu, Yong‐Jie Zhang, Joshua A. Knight, Wen-Lang Lin, Tania Gendron, Rosa Rademakers and Eileen M. McGowan. Their work appears in journals such as Acta Neuropathologica, Journal of Alzheimer s Disease, The Lancet, PLoS Biology and Nature Medicine.

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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