Matthew Nolan

899 citations
14 papers · 379 · h-index 10

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Amyotrophic Lateral Sclerosis Research 5
    • Neurological Disease Mechanisms and Treatments 2
    • Autoimmune Neurological Disorders and Treatments 1

Matthew Nolan

14 papers receiving 377 citations

Peers

Matthew Nolan
Comparison fields: 5 of 54
  • Neurology 210
  • Genetics 108
  • Neurology 38
  • Cancer Research 54
  • Cellular and Molecular Neuroscience 45
Replace I‐Fang Wang with:
I‐Fang Wang Taiwan
Mark Shabsovich United States
Ina Woods Ireland
Lindsey D. Goodman United States
Bert M. Verheijen Netherlands
Luc Pregent United States
Silvia Grifoni Italy
Kei Fukada Japan
Laura Pasetto Italy
Yuriy Shapovalov United States
Matthew Nolan relative to I‐Fang Wang Taiwan I‐Fang Wang's profile →
Citations per field
00.5×1.5×
I‐Fang Wang · 1×
Citations per year

Countries citing papers authored by Matthew Nolan

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Nolan, 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 Matthew Nolan Line = papers co-authored together Matthew Nolan links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201698
2 201566
3 200951
4 201636
5 202032
6 200826
7 201522
8 201516
9 202411
10 201511
11 20247
12 20251
13 20161
14 20151

About Matthew Nolan

Matthew Nolan is a scholar working on Neurology, Molecular Biology, Neurology, Physiology and Pharmacology, having authored 14 papers that have together received 379 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (5 papers), Alzheimer's disease research and treatments (3 papers), Cannabis and Cannabinoid Research (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Plant Molecular Biology Research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Neurology (210 citations), Genetics (108 citations), Neurology (38 citations), Cancer Research (54 citations) and Cellular and Molecular Neuroscience (45 citations). Matthew Nolan has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Olaf Ansorge, Kevin Talbot, Claire Troakes, Safa Al‐Sarraj, Christopher E. Shaw, Youn‐Bok Lee, Jean‐Marc Gallo, James Michaelson, Andrew King and Barbara L. Smith. Their work appears in journals such as Acta Neuropathologica Communications, Journal of Neural Transmission, Journal of Experimental Botany, The Journal of Comparative Neurology and American Journal of Medical Genetics Part B Neuropsychiatric Genetics.

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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